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Nummer 235 2006
KATHOLIEKE
UNIVERSITEIT
LEUVEN
THE IRONIC EFFECTS OF FOOD TEMPTATIONS ON SELF-CONTROL PERFORMANCE
FACULTEIT ECONOMISCHE EN TOEGEPASTE ECONOMISCHE WETENSCHAPPEN
Proefschrift voorgedragen
tot het behalen van de graad
van Doctor in de Toegepaste
Economische Wetenschappen
door
Kelly GEYSKENS
COMMITTEE
ADVISORS: Prof. Dr. Luk Warlop
Prof. Dr. Siegfried Dewitte
Prof. Dr. Marnik Dekimpe
Prof. Dr. Stijn van Osselaer
Prof. Dr. Brian Wansink
Daar de proefschriften in de reeks van de Faculteit Economische en Toegepaste
Economische Wetenschappen het persoonlijk werk zijn van hun auteurs, zijn alleen
deze laatsten daarvoor verantwoordelijk.
ACKNOWLEDGEMENTS
A lot that cannot be said is at times best expressed in the words: “Thank you”.
I truly give great thanks and gratitude to the countless number of persons who have
been my protectors and guides through the achievement of this dissertation which is
far beyond my own mentality and imagination.
First of all, I am especially grateful to my promoter, Prof. Dr. Luk Warlop, for
providing me with the opportunity to become a doctoral student in the first place and
for his careful mentoring at the crucial moments, his insightful comments which I
consider a priceless gift in my journey as a PhD researcher, and for his peculiar talent
for motivating me when I lost faith in my (sometimes too complicated) research by
reminding me that science is cool. Your patience, motivation, enthusiasm, and
immense knowledge make you a great mentor and I am very grateful that I had you as
my supervisor.
I would also like to express my sincerest appreciation for my co-promoter,
Prof. Dr. Siegfried Dewitte, for his generous interest in my research, his inexhaustible
enthusiasm and amazing ideas, and his capability for disentangling the simple truth
out of a seemingly impossible clutter. Most of all, I am sincerely grateful for all the
time and energy, without doubt significantly more than one would expect from a co-
promoter, he invested in me. Thank you very much!
Together, Luk and Siegfried taught me how to express thoughts into
scientifically legible writing and explicable presentations. Their complementary
manner of dealing with reviews was quite funny though efficient. Siegfried’s
enormous disappointment, near to depression, when a reject or less positive than
expected review came through the door was compensated by Luk’s way of
considering it in perspective, emphasizing that revisions are not always that bad as
they look at first sight.
I am also indebted to all the other members of my committee: Professors
Marnik Dekimpe, Stijn van Osselaer, and Brian Wansink. Marnik, I appreciated your
concern to link my research to the real world and your insightful questions. I want to
thank you for being part of my committee; it was a real pleasure and a great honor.
Stijn, I would like to thank you for carefully reading this thesis, for your constructive
critique, suggestions, and stimulating discussions which contributed greatly to its
improvements. Also thanks for spending lots of hours on the roads for each of my
seminars. Your time and generous collaboration ever remain invaluable. Brian, it was
a real honor to have you in my committee. Your interest for my research is deeply
appreciated.
Many thanks go to my colleagues at the marketing research group of the
K.U.Leuven for the ideas, of which I am sure they ended up somewhere in this thesis,
that came up during numerous, sometimes very tiring, sessions. A special word of
thanks goes to my ‘room-mates’ Caroline, and Gert. Thanks for being there when I
felt like a little chat and for putting up with me when I was stressed or in a bad mood.
Gert, you helped me to ‘chill out’ whenever things became too stressful. Caroline, you
helped me to relax during our ‘shopping trips’ and enjoyable conversations. There
never was a dull moment during the time we spent together in 04.141 and I would like
to thank you both for it!
The final words are reserved for my family and friends. I am deeply indepted
to my parents, Alida and Guido, who made it possible for me to study and supported
me in order to get me to this point in my life. You have shared much wisdom with me
and taught me the ways of the world. Without you both I would be nowhere, have no
goals in life, and no destination ahead of me. You gave me the strength to accomplish
and aim at many dreams. I think you are the greatest parents one could ever wish for!
I also want to say thank you to all the members of my amazing family, especially my
sister Anja, Benny, my Godfather Gerrit and aunt Christiane, Lene, Lidia, Marie-
Louisa, Nikki, Omer, Rudy, and Xim who were of great help by their ways of giving
and creating my confidence in myself, who have backed me up, given me support and
courage, and cheered me on.
At last but not least I would like to thank Stefan. Thank you for always being
there for me, for your support and your ever lasting patience. Especially thanks for
enduring the endless shop trips for shopping carts full of potato chips, M&Ms and
other experimental candy while being followed with other clients’ eyes. You are one
of my dreams that came true, and I hope you will accompany me in my aim to
accomplish all my and our other dreams. Without you, I could never have done this
and I think, in this way, you earned a piece of my PhD. I hope we will stay on the
same wavelength forever; I love you!
Financial support of the Fund for Scientific Research – Flanders Belgium and
Censydiam is gratefully acknowledged.
Kelly
Leuven, September 2006
CONTENTS
ACKOWLEDGEMENTS
CONTENTS
LIST OF FIGURES
INTRODUCTION .............................................................................................1
SOCIETAL FRAMEWORK _________________________________________________________ 1
DISSERTATION GOAL ____________________________________________________________ 2
WHAT IS A FOOD TEMPTATION?__________________________________________________ 3
SELF-CONTROL __________________________________________________________________ 3 Self-control failure .................................................................................................4
Self-control enhancement and overview of the manuscripts ....................................5
MANUSCRIPT I: THE BACKDOOR TO OVERCONSUMPTION: THE EFFECT OF ASSOCIATING ‘LOW-FAT’ FOOD WITH HEALTH.................11
ABSTRACT ___________________________________________________________________ 11
OBESITY AND FOOD MARKETING PRACTICES ___________________________________ 12
LOW-FAT PRODUCTS AND HEALTH REFERENCES________________________________ 12
TWO MECHANISMS OF BEHAVIORAL EFFECTS OF HEALTH ASSOCIATIONS: SELF-
CONTROL REINFORCEMENT VERSUS ASSIMILATION ____________________________ 14
STUDY 1 ___________________________________________________________________ 15 Method.................................................................................................................16
Results .................................................................................................................17
Discussion............................................................................................................18
STUDY 2 ___________________________________________________________________ 18 Method.................................................................................................................19
Results and discussion..........................................................................................20
GENERAL DISCUSSION __________________________________________________________ 21 Overview of the findings ......................................................................................21
Implications for Consumer Welfare and Public Policy..........................................22
Further Research and Limitations .........................................................................23
MANUSCRIPT II: TEMPT ME JUST A LITTLE BIT MORE. THE EFFECT OF FOOD TEMPTATION ACTIONABILITY ON GOAL ACTIVATION AND SUBSEQUENT CONSUMPTION ..................................................................25
ABSTRACT ___________________________________________________________________ 25
FOOD TEMPTATIONS MAY HURT RESISTANCE TO SUBSEQUENT FOOD
TEMPTATIONS __________________________________________________________________ 26
FOOD TEMPTATIONS MAY HELP RESISTANCE AGAINST SUBSEQUENT FOOD
TEMPTATIONS __________________________________________________________________ 28
HYPOTHESES ___________________________________________________________________ 29
STUDY 1 ___________________________________________________________________ 32
STUDY 1A ___________________________________________________________________ 33 Method.................................................................................................................33
Results and Discussion .........................................................................................34
STUDY 1B ___________________________________________________________________ 35 Method.................................................................................................................35
Results and Discussion .........................................................................................36
STUDY 2 ___________________________________________________________________ 37 Method.................................................................................................................37
Results and Discussion .........................................................................................38
STUDY 3 ___________________________________________________________________ 39
STUDY 3A ___________________________________________________________________ 40 Method.................................................................................................................40
Results and discussion..........................................................................................41
STUDY 3B ___________________________________________________________________ 43 Method.................................................................................................................43
Results and discussion..........................................................................................43
GENERAL DISCUSSION __________________________________________________________ 45
IMPLICATIONS AND FUTURE RESEARCH ________________________________________ 48
MANUSCRIPT III: DEFEAT TEMPTATIONS AND GROW IN SELF-CONTROL .....................................................................................................51
ABSTRACT ___________________________________________________________________ 51
THE SELF-CONTROL STRENGTH MODEL ________________________________________ 53
THE COGNITIVE CONTROL MODEL______________________________________________ 54
THE SELF-CONTROL STRENGTH MODEL AND THE COGNITIVE CONTROL MODEL 56 Cognitive control model predictions .....................................................................57
Self-control strength model predictions ................................................................57
THE CURRENT STUDY ___________________________________________________________ 57 Method.................................................................................................................59
Results and discussion..........................................................................................60
GENERAL DISCUSSION __________________________________________________________ 62 Theoretical Implications .......................................................................................62
Future research .....................................................................................................64
GENERAL DISCUSSION ..............................................................................65
SUMMARY OF THE FINDINGS ____________________________________________________ 65
IMPLICATIONS __________________________________________________________________ 67
FUTURE RESEARCH AND LIMITATIONS__________________________________________ 69 Health Primes and Low-fat Snack Products ..........................................................69
Actionable Food Temptations and the Critical Level ............................................71
Success in Overriding the Self-control Conflict ....................................................73
Low-fat Snack Products and the Critical Level .....................................................74
Similarity of Consecutive Food Temptations ........................................................75
Limitations ...........................................................................................................76
REFERENCES ..............................................................................................77
LIST OF FIGURES
FIGURE 1.1: Consumption at the taste test (Regular and Ambiguous Chips) as a
function of Frame (Neutral or Health); study 2.
FIGURE 2.1: Affective-cognitive framework adapted for threat detector.
FIGURE 2.2: Consumption as a function of temptation and convenience, study 3A,
with “NFT”: No Food Temptation, “NAFT”: Non-Actionable Food
Temptation and “DAFT”: Delayed Actionable Food Temptation.
FIGURE 2.3: Consumption as a function of temptation and scent, study 3B, with
“NFT”: No Food Temptation, “NAFT”: Non-Actionable Food
Temptation and “DAFT”: Delayed Actionable Food Temptation.
FIGURE 3.1: Self-control performance (standardized) as a function of the similarity
between the second task (high for the Taste test and low for the
Anagram) and preceding level of food temptation.
1
INTRODUCTION
SOCIETAL FRAMEWORK
“I saw few die of hunger; of eating, a hundred thousand.”
Benjamin Franklin
In spite of the negative personal consequences, the prevalence of obesity and
overweight has increased dramatically over the last few decades (Abelson and
Kennedy 2004), especially in Western countries (WHO 1998). For example, about 15
percent of the Belgian population (Bossuyt and Van Oyen 2002) and 22,5% of the
American population (Flegal, Carroll, Kucsmarski, and Johnson 1998) suffers from
obesitas. Moreover, nearly two out of three adults in the U.S. can be classified as
overweight (Must et al. 1999, USDA), and it has been estimated that some 300,000
deaths per year are attributable to obesity (Allison et al. 1999).
Besides genetic determinants (Aitman 2003; Dietz 1991; Stunkard et al. 1991),
the reason for this increase is clear—an excess of dietary energy intake over energy
expenditure (Centers for Disease Control and Prevention (CDCP), 2004). Societal
changes and worldwide nutrition trends (e.g., shifts towards less physically
demanding work, agricultural productivity, food subsidies, convenience-related
trends, increasingly sedentary lifestyles, more varied diets with a higher proportion of
fats, saturated fats, and sugars) have been identified as contributing to the problem
(Cutler, Glaeser, and Shapiro 2003; Mitka 2003; Paeratakul et al. 2003; Variyam
2002). Although the reduction in physical activity probably explains an important part
of the obesity epidemic, Cutler et al. (2003) argue that increased caloric intake
contributes more to the rise in obesity than reduced caloric expenditure.
Technological innovations have been identified as a primary indirect cause for the
increase in caloric intake. Indeed, these innovations have given rise to the mass
production and preparation of convenient ready-to-eat meals, which in turn have
supplanted food preparation at home. Moreover, the advances in food preparation
technology have allowed manufacturers to exploit economies of scale by producing
2
ready-to-eat foods centrally, which has lowered average cost and eventually reduced
the food prices (Cutler et al. 2003). Typically price reductions benefit consumer
welfare (e.g., Hausman and Leibtag 2005) but may harm consumer welfare in case
people have self-control problems for the particular product. In addition to decreased
prices, other market forces like increasing flavor variety (Raynor and Epstein 2001)
and availability (Tardoff 2002), growing serving sizes (Nielsen and Popkin 2003;
Wansink 1996), and more convenient eating opportunities (e.g., ready to eat meals
and eating in restaurants), are often cited as driving the obesity epidemic (Critser
2003; Nestle 2002).
DISSERTATION GOAL
It is clear that obesity is a problem in need of a solution, and overconsumption
seems one of the culprits. The notion that people sometimes behave impulsively (i.e.,
in a manner that does not serve their long-term interests) when they are faced with a
trade-off between short-term pleasure and long-term health deserves deeper
exploration. The inability to consciously control the eating behavior is often attributed
to a “weakness of will” or lack of self-control (Smith 2002). One possible route to
reduce overconsumption may then be to design strategies that prevent self-control
failure. Designing such solutions relies on understanding consumer behavior and the
factors that influence food consumption. More in particular, this dissertation aimed at
investigating whether self-control can be enhanced by environmental cues, such as
subtle cues, which occur in purchase- or consumption situations, in ads, … or prior
food temptations. The main contribution of this dissertation is a deeper insight in the
role of environmental cues in enhancing self-control of food consumption.
We begin, in the next section, with defining a food temptation. After this, we
deal with the self-control problem. This part is divided into two sections; the first
section deals with self-control failure whereas the second section reflects how self-
control can be improved. In the process an overview of the manuscripts will emerge.
3
WHAT IS A FOOD TEMPTATION?
What makes a luscious but caloric dessert a temptation? According to previous
literature (Carver and Scheier 1998; Miller 1951) the desire for a mouth-watering
dessert makes both the experience of the immediate desire (i.e., eat the dessert) and
the interfering alternative long-term goal (i.e., restrict food intake and be healthy)
salient. The conscious sensation of this conflict is what makes this temptation a
temptation (Fishbach, Friedman, and Kruglanski 2003; Hoch and Loewenstein 1991).
The cognizance of this conflict reflects a self-control problem (Ainslie 1992;
Loewenstein 1996; Metcalfe and Mischel 1999; Mischel 1974; Rachlin 1995; 1996;
1997) which often leads consumers to try to resist the temptation in order to act
according to their long-term goals (e.g., Baumeister, Heatherton, and Tice 1994;
Shallice and Burgess 1993).
SELF-CONTROL
“Many people place a premium on the attribute of self-control. Individuals who have
this capacity are able to stay on diets, carry through exercise regimens, show up to
work on time, and live within their means. Self-control is so desirable that most of us
complain that we do not have enough of it.”
Laibson, 1997
“Strength is the capacity to break a chocolate bar into four pieces with your bare
hands - and then eat just one of the pieces.”
Judith Viorst
Self-control exertion can take place in various ways, for example by focusing
attention on irrelevant stimuli and away from the temptation or by keeping attention
and interest focused on the task of resistance (Ainslie 1992; Metcalfe and Mischel
1999). However, a substantial body of literature (Baumeister et al. 1994; Carver and
Scheier 1998; Tice, Bratslavsky, and Baumeister 2001) has shown that, depending on
various situational and personality factors, consumers are sometimes able to resist a
particular temptation, whereas in other circumstances, they fail. We will start by
elaborating self-control failure, followed by a section indicating possible ways to
enhance self-control and how these were tested in the manuscripts.
4
Self-control failure
“I can resist everything except temptation.”
Oscar Wilde
Self-control is lost whenever the desire for a given immediate behavior (e.g.,
eating) is greater than the consumer’s willpower to achieve long-term goals (e.g.,
health, good looks) (Hoch and Loewenstein 1991; Loewenstein 1996; Metcalfe and
Mischel 1999). In other words, short-run cravings often prevent people from
accomplishing their long-term goals. For example, larger package sizes increase
consumption (Wansink 1996) and stockpiling accelerates the consumption rate of
convenience goods due to a higher salience of the food products (Chandon and
Wansink 2002). Also, external food cues like visual (e.g., seeing half a cake on a
counter) or aromatic prominence (e.g., the scent of cookies in a room) have been
shown to lead to self-control failure (Fedoroff, Polivy, and Herman 2003; Lambert
and Neal 1992; Painter, Wansink, and Hieggelke 2002; Schachter 1971; Shiv and
Fedorikhin 2002; Wansink 1994).
Moreover, the self-control process itself might, ironically, facilitate self-
control failure. By trying to resist food temptations, attention is focused on inhibitory
goals. Small distractions in the environment will draw attention away from these
inhibitory goals to the most salient cues available in the environment (Ward and
Mann 2000). The self-control process, in this case trying to avoid food, in fact keeps
food concepts activated because the system scans for threatening cues. For this
reason, trying to control food intake has been considered as "a low-grade popular
infection" (Polivy and Herman 1983). Trying not to think of food (Heatherton, Polivy,
and Herman 1990) results in a pre-occupation with food (Ogden 1995). The result is
that counter priming with food makes food the most salient cue (Wegner 1994).
Accordingly, through self-control exertion, distraction often leads to self-control
failure (i.e., increased consumption). Overeating through distraction is known as the
disinhibition effect. The disinhibitors can be cognitive or emotional. One cognitive
disinhibitor is the belief that a goal is not attainable anymore in a given period; e.g.,
an initial dietary violation leads to a continuation of eating because the dieting goal
5
can no longer be obtained for today (Herman and Mack 1975). Another cognitive
disinhibitor is the limitation of processing resources, which has been shown to
increase preference for affect-laden food (i.e., chocolate cake) over less affect-laden
food (i.e., fruit salad), at least for people with weak self-control capacity (Shiv and
Fedorikhin 1999). Disinhibitors can also be emotional; e.g., strong emotional states
like anxiety lead to overeating (Polivy, Herman, and McFarlane 1994), or
pharmacological; e.g., sedating and relaxing substances like alcohol might lead to
overeating because of the loss of self-control (Muraven, Collins, and Nienhaus 2002).
In other words, self-control can only be successful in a sustainable way to the extent
that the consumer manages to ‘unattend’ the food and maintain focus on the
achievement of long-term goals (Baumeister and Heatherton 1996).
Self-control enhancement and overview of the manuscripts
“We gain the strength of the temptation we resist.”
Ralph Waldo Emerson
The hot-cool framework and manuscript I.
A considerable amount of research (e.g., Fishbach et al. 2003; Gilbert et al.
2004; Metcalfe and Mischel 1999) suggests several ways for self-control
enhancement. According to the hot-cool framework (Metcalfe and Mischel 1999),
self-control can take place because the nodes of the hot system, which represent
emotional stimuli, can be connected to the nodes of the cool system, which represent
cognitive reasoning. In this way, the cool nodes can control the behavior that is
induced by the hot nodes by activating other connected cool nodes that lack hot
connections. This mechanism allows the cold system to override impulses originating
in the hot system. Applied to the field of food consumption, exposure to appealing
cookies may activate the hot node of craving for these cookies. If this hot node is in
some way connected to a cool node, like ‘do not eat them because you are on a diet’,
this node can activate other cool nodes like ‘resist the cookies and eat fruit’, ‘live
long’, ‘be healthy’. This activation of the interconnected network of cool nodes can
prevent the consumer from eating the cookies. This framework implies that activating
a concept that is related to a cool node may enhance self-control. First, priming of a
6
concept temporarily increases the probability that the concept will be reactivated
when associated cues are activated. This implies that the priming of a cool node
makes this cool node active such that activation of an associated hot node will very
likely result in the (re)activation of that particular primed cool node. Subsequently,
priming of a concept that is related to a cool node should activate a whole network of
related cool nodes, which should result in enhanced self-control. Such priming can
thus be crucial to enhance control. This implies that if consumers are primed with for
example the diet/health concept, the cool node representing food intake restriction
will be more easily activated when food is presented. In this way, the priming of
diet/health related concepts should enhance self-control. This raises the interesting
question whether low-fat labels (e.g., diet, light, but also pictures of slim women)
would enhance food intake control of snack products because they are often
associated with a long term goals such as health or weight maintenance.
In manuscript I, we tested whether subtle health references (i.e., health
primes), often associated with low-fat snack foods, indeed activate the health goal and
its associations in memory and in this way reinforce self-control (Metcalfe and
Mischel 1999). We focused on the effects of health associations on low-fat snack
products because health organizations want to stimulate the market penetration of
low-fat products to reduce overall caloric intake and in this way solve the obesity
problem. However, besides the possible self-control reinforcing effect of the health
references accompanying low-fat snack foods, these health references might also
affect the way the consumer perceives those products, which we assumed to be
ambiguous with respect to health (Wheeler and Petty 2001). Contrary to our first
conceptualization, low-fat labels may bias health perception, which may result in
assimilation effects (Stapel and Koomen 2001), making the ambiguous object (in this
case the low-fat chips) appear more compatible with the activated concept (in this
case health) than without the health references. This “assimilation” mechanism would
make consumers more vulnerable to ambiguous temptations because they appear less
threatening then they actually are. In two lab studies, we found no evidence for the
self-control reinforcing process at all, neither for the low-fat snack product nor for its
regular counterpart. Rather, we found that health references increased consumption of
the ambiguous food. For the unambiguous unhealthy counterpart, no effect of the
health references was found. This implies that priming of diet/health related concepts
7
is not an effective strategy to enhance self-control activation. For regular snack
products, subtle health references have no influence on the quantity consumed.
Moreover, health references increase consumption when they accompany low-fat
snack products.
The model of asymmetric associations and manuscript II.
The results in the first manuscript suggest that either the activation of cool
nodes seems to be inefficient for self-control enhancement or the low-fat labels are
not directly connected with cool nodes. A more efficient strategy to help consumers
control their food intake might be through direct exposure to hot, tempting stimuli.
The activation of hot nodes might in fact activate cool nodes (e.g., restraining food
intake), connected to the activated hot node (e.g., food cues), which could result in the
activation of an interconnected network of cool nodes that successfully enhances self-
control. Some recent findings indeed suggest that control might be initiated by the
mere exposure to tempting food stimuli (Fishbach et al. 2003). The model of
asymmetric associations between temptations and higher priority goals (Fishbach et
al. 2003) states that automatic associations can develop between goals that are active
at the same time. These connections between goals result in mutual facilitation or
mutual inhibition, depending on whether the goals are related or opposing. For
example, the goal of leading a healthy life can be achieved by the goal of wanting to
go swimming but it can be opposed by the goal of wanting to go out eating in
McDonald’s. In other words, temptations that threaten the achievement of important
long-term goals could activate these opposing long-term goals and in this way
facilitate self-regulation. The model is asymmetric, implying that temptations activate
inhibitory goals but the goals inhibit the temptations. This asymmetry in the model is
necessary because the link between temptation and goal is made in order to exert self-
control. Repeated attempts at self-control lead to frequent co-occurrence of a
temptation (a dessert) and a goal (having a slim body). For example, if a person does
not eat dessert because of the long-term goal of having a nice and thin body, which
implies dieting, the link between the dessert (the temptation) and dieting (the goal) is
made. This results in an asymmetric link between the cognitive representations of the
temptations and the cognitive representations of the goal in memory. Because of
many activations of this link, it can become overlearned, which implies that the
8
activation of the goals by (opposing) temptations could be relatively independent of
cognitive resources and even subliminal activation of the temptation could be
sufficient to activate the goal. Moreover, Fishbach et al. (2003) state that the direct
priming of the goal increases the awareness of the goal but does not enhance self-
control attempts, contrary to the hot-cool framework (Metcalfe and Mischel 1999) but
in line with the findings of manuscript I. On the other hand, Fishbach et al. (2003)
state that the priming of temptations activates a narrower set of self-control intentions,
which does enhance self-control.
In manuscript II, we investigated whether exposure to food temptations,
differing in actionability, enhances self-control. Indeed, we found that exposure to
food temptations activate their opposing goal (i.e., dieting), independent of the level
of actionability of the food temptation. Only, the activation of the opposing long-term
goal does not automatically result in self-control enhancement. The exposure to food
temptations needs to exceed a certain critical level (Gilbert et al. 2004) that makes the
food temptations threatening for the achievement of the long-term goal, in order to
eventuate in self-control enhancement. Self-control actually takes place through the
prevention of the activation of an eating goal, which leads to actual control of real
consumption behavior in a subsequent taste test.
The model of similarity in consecutive response conflict and manuscript III.
At first sight, the findings in the second manuscript seem to conflict with the
ego-depletion literature. This literature states that exerting self-control taxes a limited
resource that is akin to energy or strength, and thus reduces people’s capacity to exert
self-control in the next phase (Muraven and Baumeister 2000). According to this
theory, the initial self-control exertion through resistance of the actionable food
temptation should lead to self-control failure in a subsequent task that requires self-
control (i.e., overconsumption in a taste test). In manuscript III, we explored this
apparent inconsistency with the ego-depletion literature. We found that the initial food
intake restriction task was depleting and thus decreased self-control performance in a
different domain, in this case reduced persistence on a subsequent anagram task, in
line with predictions from the ego-depletion literature. However, we again found that
the resistance to actionable food temptations resulted in self-control enhancement in a
9
subsequent taste test (as in manuscript II). These results and the contradiction with
ego-depletion can be explained from the cognitive control theory (Botvinick et al.
2001). This theory states that performance on tasks involving conflict improves
through temporal adaptation of one’s behavior to highly demanding situations. This
adaptation temporarily results in a more focused, conservative approach and thus an
increase in task performance, which spills over to a subsequent task with a similar
response conflict. At the same time, this temporary sustained activation of the rules
necessary to perform the task deteriorates task performance when the subsequent task
involves a different response conflict. These results suggest that self-control strength
theory (Muraven and Baumeister 2000) seems to apply only when the consecutive
self-control tasks involve different response conflicts. When two similar self-control
tasks follow each other, like in manuscript II, adjustment to the response conflict in
the first task seems to enhance self-control performance in a subsequent similar self-
control task. This implies that the exertion of self-control is not always detrimental to
subsequent self-control performance. In contrast, self-control exertion in one conflict
situation enhances self-control performance in a subsequent self-control requiring
situation if these consecutive self-control tasks involve a similar response conflict.
10
11
MANUSCRIPT I:
THE BACKDOOR TO OVERCONSUMPTION: THE
EFFECT OF ASSOCIATING ‘LOW-FAT’ FOOD WITH
HEALTH
ABSTRACT
We studied the influence of associating low-fat snack products with subtle
contextual health references (e.g., pictures of athletes) on the absolute consumption of
these products. The results of two experiments show that health references appear to
increase consumption of ambiguous products (i.e., low-fat potato chips). These results
suggest that associating ambiguous products with health messages may contribute to
rather than solve the obesity problem and have useful implications for public policy
and society.
12
OBESITY AND FOOD MARKETING PRACTICES
Obesity constitutes a growing health problem (Abelson and Kennedy 2004)
which increases in prevalence in most countries around the world (WHO 1998).
Although genetic determinants (Aitman 2003; Dietz 1991; Stunkard et al. 1991) play
a major role, the increasing prevalence of obesity suggests that societal changes and
worldwide nutrition trends (e.g., shifts towards less physically demanding work, more
varied diets with a higher proportion of fats, saturated fats and sugars, agricultural
productivity, federal food subsidies, and convenience-related trends) also contribute
to the problem (Cutler et al. 2003; Mitka 2003; Paeratakul et al. 2003). In addition,
market forces, like decreased prices, increased flavor variety (Raynor and Epstein
2001) and availability (Tardoff 2002), larger serving sizes (Nielsen and Popkin 2003;
Wansink 1996), and more convenient eating opportunities (e.g., ready to eat meals
and eating in restaurants), are often cited as driving the obesity epidemic (Critser
2003; Nestle 2002).
These environmental changes led, over the past decades, to an enormous
increase in the consumption of fattening snacks. Together with the reduction in
physical activity, increased caloric intake leads to energy imbalance and inevitably to
weight gain (Centers for Disease Control and Prevention (CDCP), 2004). Among
many other possible remedies, health organizations want to stimulate the market
penetration of low-fat products to reduce overall caloric intake. For example, the
WHO states that a remedy for obesity is “Creating supportive population-based
environments through public policies that promote the availability and accessibility of
a variety of low-fat, high-fiber foods, and that provide opportunities for physical
activity” (WHO 2004, italics added).
LOW-FAT PRODUCTS AND HEALTH REFERENCES
Low-fat snack foods (‘light’ products) are snack foods that are claimed to
contain less fat (i.e., a nutrient claim) but have an indistinguishable taste compared to
their ‘regular’ counterparts. Marketers present these low-fat snack products as
harmless for weight and health. These products therefore seem to offer the perfect
‘solution’ for dieters. Moreover, because of the focus on low-fat content, these
13
products are immediately associated to health, often reinforced by the label ‘low-fat’.
Consequently, it becomes ambiguous whether the low-fat snack product is either bad
for one’s health, in the same way as the regular products are, or good for it, as
suggested by the positioning advocated by marketers. Therefore, policy makers need a
more general understanding of the behavioral effects of the health associations
accompanying low-fat snack foods. Do they support dieting efforts by activating the
health goal? Or, more worrisome for society, do they lead to larger amounts
consumed or more frequent snacking, leading to overall status quo or even a net
increase in caloric intake? The study of the effects of positioning low-fat products as
healthy is timely because the World Health Organization encourages public policies
to promote the availability and accessibility of a variety of low-fat, high-fiber foods in
order to remedy the obesity problem (WHO 2004).
These health references (e.g., pictures of fibers, references in the brand name
(‘diet coke’), or pictures of athletes) that accompany low-fat products are different
from ‘health claims’. Health claims typically promise health enhancement or
reduction in the risk of disease (e.g., ‘It does your heart good’; Williams 2005). Prior
research examined the influence of health claims on consumer understanding,
knowledge, attitudes, perceptions, search, and product evaluation (Fullmer, Geiger,
and Parent 1991; Garretson and Burton 2000; Kozup, Creyer, and Burton 2003;
Mason and Scammon 2000; Mitra et al. 1999; Roe, Levy, and Derby 1999; Van
Assema et al. 1996). Overall, health claims make consumers believe the product to be
healthier when the nutrient information is unavailable, ambiguous, or consistent with
the claim.
Our aim is to explore the influence of associating low-fat snack products,
which are in line with legal prescriptions, with subtle contextual health references
(e.g., pictures of fibers, references in the brand name (‘diet coke’), or pictures of
athletes) on the consumed amount.
Prior research has shown that, among other factors, social factors (e.g.,
culture, the food industry, and the media) influence people’s attitudes towards certain
food products by praising or demonizing them (e.g., by associating the food with
health) (Oakes 2004; Rozin et al. 1999). Health associations might thus affect the
14
attitude towards the low-fat product they accompany. If health associations make low-
fat products seem healthier, exposure to health associations may increase absolute
consumption, thereby counteracting the caloric reduction from the reduced fat content
per serving. If, on the other hand, these health associations highlight that low-fat
products are not conducive to achieving long-term goals (slim body, good health,
etc.), exposure to health associations may decrease absolute consumption. So, from a
theoretical point of view, two alternative mechanisms can be identified that make
opposite predictions regarding the effect of health associations linked with low-fat
snack foods on the consumed amount. A self-control reinforcement mechanism would
predict that health associations would decrease the consumed amount whereas an
assimilation mechanism would predict that health associations would increase the
consumed amount in comparison with the control condition. We now elaborate on
both mechanisms.
TWO MECHANISMS OF BEHAVIORAL EFFECTS OF HEALTH
ASSOCIATIONS: SELF-CONTROL REINFORCEMENT VERSUS
ASSIMILATION
Health associations linked with low-fat snack foods might decrease the
consumed amount by activating the goal of living a healthy life and its associations in
memory (Metcalfe and Mischel 1999). Health goal activation should result in reduced
consumption of the low-fat snack product in comparison with the control condition.
Moreover, if health associations indeed activate a health goal, this should also result
in self-control reinforcement for regular snack products. Self-control reinforcement
would be reflected in empirical support for H1a and H2.
H1a: Associating low-fat snack products (i.e., ambiguous snack products) with
health results in a lower consumed amount compared to a situation without health
references. This hypothesis will be tested in studies 1 and 2.
H2: Associating regular snack products with health results in a lower
consumed amount compared to a situation without health references. This hypothesis
will be tested in study 2.
15
Alternatively, the health references accompanying low-fat snack foods may
influence the way the consumer perceives those products, as long as the presented
foods are a priori ambiguous with respect to health (Wheeler and Petty 2001). This
may result in assimilation effects (Stapel and Koomen 2001): The ambiguous object
(in this case the low-fat chips) may appear more compatible with health after
exposure to subtle health references than without these health references. Such
“assimilation” would make the low-fat snack food appear less threatening, allowing
consumption to increase in comparison with a situation without health references. In
other words, the health references might present these low-fat snack foods as
beneficial for health, resulting in decreased risk perception, higher consumption, and
possibly even higher overall caloric intake; also named “boomerang-effect” (Bolton,
Cohen, and Bloom 2006). Regular snack products are not ambiguous with respect to
health; it is generally agreed upon that these products are unhealthy and threatening
for health. Consequently, the health references should not have an influence on the
consumed amount of regular snack products. Assimilation would be reflected in the
support for H1b.
H1b: Associating low-fat snack products (i.e., ambiguous snack products) with
health results in a higher consumed amount compared to a situation without health
references. This hypothesis will be tested in studies 1 and 2.
STUDY 1
In the first study, we tested the effects of subtle health references on the
consumption of low-fat snack foods in middle-aged women. We pitted the two
possible mechanisms ‘assimilation’ and ‘self-control reinforcement’ against each
other. We introduced health references using a priming technique, resulting in two
conditions: a control condition without health references (neutral prime) and an
experimental condition with health cues (health prime). The aim of priming is to
activate a concept in long-term memory (usually below the awareness threshold) by
exposing participants to words related to that concept (Bargh and Chartrand 1999).
With this subtle priming technique, we simulated the presence versus absence of
health references in the environment, for instance in the TV commercial, or on the
package. Subsequently, we measured the amount of low-fat chips participants ate.
16
Method
Participants
In total, 37 female (aged between 27 and 57, mean age = 43.38, SD = 7.84)
members of a local research agency consumer panel participated in the study in
exchange for €15 worth of household products. Most of them were housewives.
Participants had a mean height of 1.63 meters (SD = 0.06) and a mean weight of 68.7
kg (SD = 11.4), for a mean BMI of 25.9 (SD = 4.5). Ten participants (27 %) were
overweight and seven (19 %) participants were obese.
Procedure
Participants entered the lab in groups of five to ten and were seated in
individual cubicles. They were randomly assigned to one of two experimental
conditions. The experimental conditions were randomized within each session and
over time of day.
Health vs. neutral prime manipulation. Participants first received a “language
test” that primed them with health words or with neutral words. The language test was
a scrambled sentences task (Bargh and Chartrand 2000). Each sentence consisted of
five words and participants were instructed to construct a grammatically correct four-
word sentence. In the health prime condition, 15 of the 30 sentences in the test
contained a word that was related to health. These 15 words (i.e., ‘healthy’, ‘apple’,
‘biking’, ‘jogging’, ‘fit’, ‘fruit’, ‘vegetables’, ‘laughing’, ‘lively’, ‘forest air’, ‘nature’,
‘kiwi’, ‘sleeping’, ‘sports’, and ‘vitamins’) were obtained from a pretest of 100
candidate words. The words were chosen in a way that ensured that the health-related
words would be used in the sentence composition. In the neutral prime condition the
health-related words were replaced by health-neutral words.
Taste test. Subsequently, participants received two bowls, each containing 50
grams of the same brand of light chips, and an evaluation form. They were told that
they were participating in a blind taste test between two different brands of light
17
chips. They had to rate each brand on several dimensions. They were allowed to eat as
many of the chips as needed to fill out the taste test evaluation form. All participants
had ten minutes to finish the taste test, which was sufficient for everyone. This
implies that participants could eat 10 chips per minute (which is a lot) if they would
eat all the chips.
Measures
Consumption. After the taste test, the remaining chips were weighted,
unbeknownst to the participants. Consumption, in grams, was summed over the two
bowls.
Reported eating behavior. At the end of the experiment, participants
completed the “Dutch Questionnaire of Eating Behavior” (van Strien, Frijters,
Bergers, and Defares 1986), in order to correct the results for the degree of dietary
restraint.
Hunger level. At the end of the questionnaire, participants had to indicate how
much time had elapsed since their last meal before entering the lab, as a proxy of their
hunger level.
Results
Effects of manipulations on the quantity consumed
We conducted an ANCOVA with Prime (Neutral or Health) as a between
subjects independent variable, and consumed grams of the low-fat chips as the
dependent variable. To control for the degree of dietary restraint, we included the
restraint score as a covariate in the analysis. This ANCOVA revealed a main effect of
Prime on the consumed grams low-fat chips, F(1, 34) = 4.28, p < 0.05. Consistent
with the assimilation mechanism and thus H1b, participants primed with health
consumed more (M = 18.07 gram, SE = 0.27) than participants in the neutral prime
condition (M = 10.96 gram, SE = 0.18).
18
Discussion
The results of the first study suggest that health associations linked with low-
fat snack foods increase the consumed amount. This implies that health references do
not seem to reinforce consumers’ self-control by activating the health goal and its
associations in memory. To the contrary, health references accompanying low-fat
snack foods apparently make the low-fat snack product appear more compatible with
the activated concept (in this case health) than without the health references, which
results in the higher consumed amount compared to a situation without health
references.
Our primary concern was to gain more insight in the effect of health
references on consumption amount of low-fat snack products. Therefore we
conducted a replication study, seeking generalization to men, to other features of
snack products that make them ambiguous with respect to health consequences
beyond the ‘low-fat’ label, and to another implementation of the health references
manipulation. In addition, in this second study, we also included a regular snack
product in the taste test to gain further insight in the processes (i.e., a self-control
reinforcing process vs. an assimilation process). Regular snack products are not
ambiguous with respect to health. Consequently, the health references should not have
an influence on the consumed amount of regular snack products, serving as an
additional support of the assimilation mechanism.
STUDY 2
In the second study, we tested the effects of health references on the
consumption of regular snack foods and snack foods that are ambiguous with respect
to health. The presence of health references was manipulated using a text framing the
snack product as being healthier than everyone beliefs. This resulted in two
conditions: a control condition with a general description of the snack product (neutral
frame) and an experimental condition with a healthier description (healthy frame). We
then measured the amount of ambiguous and regular chips participants ate in a
subsequent taste test.
19
Method
Participants
Fifty-six undergraduate students (36 women) participated in exchange for €7.
They had a mean height of 1.74 meters (SD = 0.09) and a mean weight of 67.04 kg
(SD = 12.2), for a mean BMI of 22.22 (SD = 3.7). Six participants (10.7%) were
overweight and two (3.6%) participants were obese.
Procedure
Participants entered the lab in groups of eight and were seated in individual
cubicles. They were randomly assigned to one of two experimental conditions. The
experimental conditions were randomized within each session and over time of day.
Framing manipulation. First, participants were asked to read a text containing
information about chips in general. In the neutral frame condition, the text described
some general facts about chips everyone is familiar with. In the healthy frame
condition, participants received a text that framed chips as being healthier (i.e.,
containing lots of vitamins, minerals, and fibers and only small amounts of fat) than
everyone beliefs.
Taste test. Subsequently, participants received two bowls, each containing 50
grams of chips, and an evaluation form. They were told that one bowl contained
regular chips, made of potatoes, and the other bowl contained a new kind of chips,
made of manioc, which contains less starch. No mention about the healthiness of the
new kind of chips was given, which made the chips ambiguous with respect to health.
Participants were asked to evaluate both kinds of chips on several dimensions. They
were allowed to eat as many of the chips as needed to complete the taste test
evaluation form. All participants had ten minutes to finish the taste test, which was
sufficient for everyone.
20
Measures
Consumption. After the taste test, the bowls were removed, and the
experimenter weighed, for each bowl, how many grams of chips had been consumed.
The reported eating behavior (i.e., dietary restraint) and the hunger level of the
participants were measured as in study 1.
Results and discussion
Effects of manipulations on the consumed amount
We conducted a repeated measures ANCOVA with Type of Chips
(Ambiguous or Regular) as a within subjects independent variable, Framing (Neutral
or Healthy) as a between subjects independent variable, and consumed grams as the
dependent variable. To control for the degree of dietary restraint, we included the
restraint score as a covariate in the analysis. The ANCOVA revealed a marginally
significant interaction between Type of Chips and Framing, F(1, 53) = 3.07, p < .09.
The Framing manipulation had a significant effect on the consumed amount of
the ambiguous chips, F(1, 53) = 3.91, p = .05 (see figure 1.1). Participants in the
Healthy Frame condition (M = 7.95 gram, SE = 1.02) consumed more of the
ambiguous chips than participants in the Neutral Frame condition (M = 5.15 gram, SE
= 0.98), replicating the findings of study 1 and supporting H1b. Again, the findings are
incompatible with a self-control reinforcing mechanism (H1b). Moreover, H2 is
disconfirmed, again supporting the assimilation mechanism.
For the regular chips, the consumed amount of the regular chips did not differ
between the Neutral (M = 6.12 gram, SE = 0.95) and the Healthy (M = 7.11 gram, SE
= 0.91) Frame condition (F<1), which is again inconsistent with a self-control
reinforcing mechanism.
21
FIGURE 1.1
Consumption at the taste test (Regular and Ambiguous Chips) as a function of
Frame (Neutral or Health); study 2.
0
1
2
3
4
5
6
7
8
9
10
Ambiguous Regular
Co
nsu
med
gra
ms c
hip
s
Neutral Frame
Health Frame
The Healthy Framing condition led participants to increase consumption of the
ambiguous chips and not of the regular chips in comparison with the Neutral Framing
condition. These results imply that framing a product category as healthy affects only
the consumption of products in that category which are ambiguous with respect to
health. Labeling these ambiguous snack products as being low-fat is not necessary.
Leaving the healthiness of the snack product ambiguous and open to interpretation
seems to be sufficient for health references to increase consumption. For
unambiguously unhealthy products (i.e., regular chips) the health frame has no effect;
consumption remains at the same level as the neutral frame condition.
GENERAL DISCUSSION
Overview of the findings
The aim of our research was to explore whether subtle health references
discourage or encourage consumption of snack foods that are ambiguous with respect
to health (e.g., low-fat chips). We distinguished two potential effects of subtle health
references in a consumer’s food decision environment. First, such references may
reinforce consumers’ self-control by the activation of people’s long-term goals related
22
to health. Second, health references may affect the interpretation of the ambiguous
temptation. This mechanism would make consumers more vulnerable to ambiguous
temptations, because it would appear less threatening than it actually is. In our studies,
we found no evidence for the self-control reinforcing process at all. Rather, we found
that health references increased consumption, in comparison with a situation without
health references, of food that is ambiguous with respect to health consequences. We
did not find any effect of the health references for unambiguously unhealthy food.
Implications for Consumer Welfare and Public Policy
For marketers, our results might sound like good news in the short run given
the recent boom in the demand and supply of low-fat and other ‘light’ products
(American Dietetic Association 1998). By associating these products with health,
marketers can increase sales and profit. For society in the long run, however, our data
imply that the promotion of low-fat snack foods, positioned as healthy, may be a
counterproductive strategy to halt the obesity epidemic. Low-fat snack products are
better for health than their regular counterparts. However, their associations with
health references (e.g., pictures of fibers, references in the brand name (‘diet coke’),
or pictures of athletes) might counteract the intended caloric reduction by affecting
the healthiness perception of the ambiguous snack product. According to the
assimilation mechanism (Stapel and Koomen 2001), these health references might
make an ambiguous snack product seem healthier than it actually is and consequently
lead to an increased consumption and possibly even an increased absolute caloric
intake.
In the United States, the Nutritional Labeling and Education Act of 1990
(NLEA) already developed instructions concerning the availability of nutrition
information on food packages and health claims. These instructions, however, do not
deal with subtle health references accompanying existing low-fat snack products, such
as pictures of athletes or labels such as ‘light’. In Europe, instructions concerning
nutrient and health claims are even less developed. Our findings suggest that these
existing instructions should be adjusted by two possible policies.
23
One option may be to decrease the fat content of snack products without
emphasizing this too strongly on the package and in ads. In this case, there would be
no or fewer health references that may increase consumption of the product that is less
unhealthy. Along this line, policy makers may want to consider setting maximum
caloric densities for certain highly popular and fattening product categories, such as
potato chips, chocolate, etc.
An alternative option would be to instruct food manufacturers to provide more
explicit information to consumers in order to avoid ambiguous interpretations of the
low-fat snack products with respect to health. Consider the example of potato chips.
Food manufacturers mention the reduced percentage of fat in their products (e.g., 33%
for the product we used in study 1) which is much more impressive than the reduced
percentage of calories (which was only 11% for the product we used in study 1, due
to starch, sugar, etc.). So, along with this information about the fat content, the
information concerning the absolute caloric level, cholesterol and other unhealthy
ingredients should be emphasized clearly and saliently on the package, instead of as
small print on the back of the package. Mentioning ‘11% fewer calories’ probably
would have less influence on the consumed amount of the low-fat product compared
to mentioning ‘33% less fat’, because ‘11% fewer calories’ is less ambiguous with
respect to health.
Raynor et al. (2004), for example, suggested that interventions to reduce fat
intake should target increasing liking for low-fat foods, along with increasing the
proportion of low-fat food in the household. Our results imply that these interventions
should be carefully considered in order to prevent consumers to perceive these low-fat
snacks products as being healthier than they really are. Together with our results, this
suggests that people might end up consuming as many calories or even more calories
than when they would consume traditional high fat food.
Further Research and Limitations
We acknowledge that a limitation of this research concerns the short period of
time of the consumption opportunity, and we should be careful in drawing
conclusions in the long-run. Moreover, eating behavior in a laboratory is not the same
24
as real eating behavior. However, research concerning the effects of environmental
stimuli on food intake mostly uses these kinds of methods and analyses (Roefs and
Jansen 2004; Rotenberg et al. 2005). In addition, we argue that the consumption
pattern in the control condition (i.e., the neutral prime/frame condition) can be
assumed to reflect normal eating, and that the relevant information is in the difference
between the control and the experimental condition. Our results should serve as initial
evidence that deserves further exploration.
It has been shown that consumers do ration the purchase quantities of ‘vice’
products (i.e., products that satisfy a short-term desire but hurt the attainability of
long-term goals (e.g., regular potato chips)) in order to solve their self-control
problem (Wertenbroch 1998). They do so because they believe that limiting the stock
of vice products reduces the temptation to overconsume vices. To reach that objective,
consumers are even prepared to forgo quantity price discounts. For (relative) ‘virtue’
products such as low-fat potato chips (i.e., products that provide more utility in the
long-run than (relative) vice products), the data and our interpretation in terms of
assimilation suggest that consumers probably do experience less to no self-control
threat. Hence, they could tend to stockpile these virtue products at home. However,
stockpiling makes people consume convenience products at a faster rate (Chandon
and Wansink 2002). This implies that low-fat versions of unhealthy snacks may be
more readily stockpiled at home and that health references (e.g., in advertisements, or
on packages) may encourage overconsumption of these low-fat snacks. It would be
interesting to explore the stockpiling and subsequent consumption behavior of virtue
products.
More research is also required to investigate boundary conditions (e.g., how
(un)ambiguous can the product be?), possible ways to reduce the overconsumption
effect due to subtle health references, and whether weaker health cues still lead to
increased consumption. The effects in the long run should also be explored. The final
goal should be a detailed understanding of the various ways in which marketing
promotes, obstructs, and generally interacts with consumer’s health and self-control
and how public policy agencies can combat these consumption increasing strategies.
25
MANUSCRIPT II:
TEMPT ME JUST A LITTLE BIT MORE. THE EFFECT
OF FOOD TEMPTATION ACTIONABILITY ON GOAL
ACTIVATION AND SUBSEQUENT CONSUMPTION
ABSTRACT
In daily life, people are often exposed to food temptations like ads for
chocolate or friends offering cookies. This article examines whether food temptations,
differing in actionability (presence vs. absence of an opportunity to consume), lead
consumers to eat more, or rather help them in exerting self-control. The results of five
experiments suggest that pre-exposure to actionable food temptations enhances self-
control on a subsequent consumption occasion, by preventing the activation of the
eating goal. Pre-exposure to non-actionable food temptations lead to self-control loss
on a subsequent consumption occasion.
26
In everyday life, consumers often are exposed to food temptations; in ads, in
stores, in bakeries, on coffee tables during social visits, and even in one’s own
refrigerator… Food temptations might activate a desire for the cued food and increase
its consumption (Fedoroff, Polivy, and Herman 2003; Lambert and Neal 1992).
However, salient food temptations might also remind consumers of their food restraint
objectives, and thus facilitate self-control (Fishbach, Friedman, and Kruglanski 2003).
So, food temptations might sometimes help but also sometimes hurt the consumer’s
resistance to subsequent tempting food offers. In this article we attempt to find out
when food temptations hurt or help food intake regulation.
FOOD TEMPTATIONS MAY HURT RESISTANCE TO
SUBSEQUENT FOOD TEMPTATIONS
Prior research and observations from everyday life support the common
intuition that food temptations constitute a direct permanent threat to the
accomplishment of consumers’ long term food intake regulation goals. Indeed, larger
package sizes increase consumption (Wansink 1996) and stockpiling accelerates the
consumption rate of convenience goods due to a higher salience of the food products
(Chandon and Wansink 2002). Other research has shown that external cues like visual
(e.g., seeing half a cake on a counter) or aromatic prominence (e.g., the scent of
cookies in a room) of food can make it salient (Painter, Wansink, and Hieggelke
2002; Schachter 1971; Wansink 1994). The increase in food salience following
appetizing olfactory food cues has been shown to activate a craving for food and
stimulate eating behavior (Fedoroff et al. 2003; Lambert and Neal 1992). Shiv and
Fedorikhin (2002) found that increasing the salience of the food options in a choice
task, by placing the options in front of consumers rather than showing pictures of the
food, causes an affect-laden food option (e.g., pizza) to be preferred over a less affect-
laden food option (e.g., tomato soup). The salient food options are likely to activate
appetitive goals (Shiv and Fedorikhin 2002). These findings suggest that exposure to
appetizing external food cues arouses the desire to eat or an eating goal. The
activation of the eating goal appears to increase consumption on a subsequent
consumption occasion in comparison with a situation without external food cues.
According to the affective-cognitive framework (Shiv and Fedorikhin 2002; Shiv,
Fedorikhin, and Nowlis 2005), these direct effects are represented by the lower-order
27
pathways in figure 2.1. Namely, exposure to affect-laden stimuli (i.e. food) gives rise
to spontaneous lower-order cognitions and affect that lead to a desire for and a
tendency to grab the food.
Food temptations may also have an indirect facilitating effect on consumption
quantity. Resisting food temptations requires self-control. When the desire for eating
is greater than the consumer’s willpower to control food intake in order to achieve
long-term goals, self-control is lost (Hoch and Loewenstein 1991; Loewenstein 1996;
Metcalfe and Mischel 1999). Maintaining self-control seems to require attention to
inhibitory goals, represented by the higher-order cognitions in figure 2.1 (for the time
being, ignore the ‘threat’ detector, which will be discussed in the hypotheses section).
These higher-order processes take place through deep deliberation of all information
related to the food (e.g., the adverse consequences of consuming food) and might help
to overcome the desire to eat by activating inhibitory goals. When attention is diverted
from inhibitory goals (Baumeister et al. 1998) and narrowed to the most salient cue
(Ward and Mann 2000), self-control is lost. Because trying to avoid eating food keeps
the mental representation of a food temptation active, the most salient cue is–
ironically–often the food itself (Wegner 1994). The increased focus on food cues that
results from self-control attempts therefore might result in increased consumption
when attention is distracted from the inhibitory goals that underlie these self-control
attempts. According to the affective-cognitive framework (Shiv and Fedorikhin 2002;
Shiv et al. 2005), narrowing thoughts to the most salient stimulus (i.e., the food) can
indeed trigger higher-order affect which reinforces the tendencies arising from the
lower-order affect (i.e., eat the food). This framework is based on the proposition by
LeDoux (1996) that affective reactions can also arise in a relatively controlled manner
following cognition rather than preceding cognition (i.e., a view held by Zajonc
(1980)). In support of this indirect effect of self-control attempts on the consumption
of tempting food, Shiv and Fedorikhin (1999) found that limitations of processing
resources increased preference for affect-laden food (i.e., chocolate cake) over less
affect-laden food (i.e., fruit salad) for people with weak self-control capacity.
Together, the findings described above all support the common intuition that
food temptations may be detrimental to food intake regulation in many circumstances.
However, some recent findings in literature (Fishbach et al. 2003; Gilbert et al. 2004)
28
suggest that food temptations may actually enhance self-control, possibly resulting in
decreased consumption. This would be the case if the path from the higher-order
cognitions to the self-control requiring situation does not trigger the higher-order
affect (see figure 2.1).
FIGURE 2.1
Affective-cognitive framework adapted for threat detector
FOOD TEMPTATIONS MAY HELP RESISTANCE AGAINST
SUBSEQUENT FOOD TEMPTATIONS
Indeed, food temptations have been shown to activate inhibitory goals
(Fishbach et al. 2003), as represented by the higher-order cognitions in figure 2.1,
which may help consumers to control their food intake, at least if higher-order affect
is not triggered. Recently Fishbach and Shah (2006) also found that, in addition to the
activation of the overriding goal, the automatic response to food stimuli is a tendency
to approach these stimuli. However, at the same time, especially for dieters, there is
an automatic tendency to avoid these food stimuli. This suggests that the self-control
conflict caused by exposure to food cues emerges by the simultaneous approach and
Food Cue
Higher-Order Affect: Eating
Higher-Order Cognition: Restriction
Consumption
Lower-Order Cognition Lower-Order Affect
Threat YES
NO +
-
29
avoidance tendencies that they induce. Self-control is successful when the original
tendency to approach these stimuli is overridden by the tendency to avoid the stimuli.
The prediction that food temptations might help resistance against subsequent food
offers may also be derived from Gilbert et al.’s (2004) finding that active attempts to
solve a problem arise only when the problem becomes serious enough. People’s
problem solving strategies seem to be triggered only by critical levels of hedonic
states because they expect intense states (e.g., pain from a bruised leg) to last longer
than mild states (e.g., pain from a numb leg). Intense hedonic states are overestimated
(Gilbert et al. 1998) and trigger self-control strategies, whereas mild states are
underestimated and therefore linger unsolved (Snell, Gibbs, and Varey 1995). In the
case of food temptations, a similar non-linear relationship might apply. A large
number of candies may trigger concerns about health and diet objectives whereas
small numbers might not. This implies that people might paradoxically consume more
candies when there are only a few candies in the kitchen cabinet than when a lot of
candies are present (Gilbert et al. 2004) although consumers seem to believe the
opposite (Wertenbroch 1998). The application of Gilbert et al.’s (2004) theory to the
food consumption domain implies that consumers might be wrong when they buy
smaller amounts of vice foods as a strategy to keep their consumption under control.
According to the critical level perspective, exposure to food temptations that exceed
the critical level beyond which self-control strategies are triggered, might help to
control food intake on a subsequent consumption occasion. Applied to the affective-
cognitive framework (Shiv and Fedorikhin 2002; Shiv et al. 2005), this suggests that a
certain mechanism is needed that determines whether higher-order affect is activated.
We will get to the bottom of this mechanism in the next section.
HYPOTHESES
In all, then, food temptations may sometimes increase food intake on a
subsequent consumption situation through the activation of eating goals and
sometimes decrease food intake on a subsequent consumption occasion through the
activation of inhibition goals. However, little is known about the specific
circumstances that determine whether an increase or decrease is obtained. In the
current article, we focus on the degree to which the food is threatening as an
important situational moderator. We will compare food temptations that do not offer
30
the opportunity to consume the food temptation and food temptations that do offer the
opportunity to consume the food temptation with respect to their effects on
subsequent consumption. We compare those effects with a control condition without
prior temptation. The main difference between the two types of temptation lies in the
actionability of the temptation. The food temptation that is not actionable (e.g.,
pictures of food) is not threatening because the consumer cannot consume the
temptation directly. In contrast, the food temptation that is actionable (e.g., a basket
full of delicious cookies) is threatening because it can be consumed immediately. We
assume that actionable food temptations exceed the critical level beyond which self-
control strategies are triggered (Gilbert et al. 2004). On the other hand, we assume
that non-actionable food temptations are not threatening and consequently do not
exceed the critical level. As a result, we expect that exposure to non-actionable food
temptations will increase the desire to eat. According to the affective-cognitive
framework (Shiv and Fedorikhin 2002; Shiv et al. 2005), the more vivid and affective
the food cue, the more likely the focus of higher-order processes is on the hedonic
qualities of the food cue, resulting in higher-order affect (i.e., desire to eat). However,
if we take the findings of Fishbach et al. (2003) and Gilbert et al. (2004) into account,
we suggest that an additional decision step (i.e., the threat detector) should be added
to the affective-cognitive framework (Shiv and Fedorikhin 2002; Shiv, Fedorikhin,
and Nowlis 2005). If a food cue exceeds the critical level beyond which self-control
strategies are triggered, the threat detector will be activated and will prevent the
triggering of higher-order affect. In this way, self-control loss will be prevented. Food
temptations that are threatening (i.e., actionable food temptations) should thus only
trigger higher-order cognitions under the form of food restriction goals (Fishbach et
al. 2003) and no higher-order affect (i.e. the activation of a desire to eat). Non-
threatening food cues (i.e., non-actionable food temptations), on the other hand,
should not activate the threat detector. Therefore, higher-order cognitions will result
in higher-order affect (i.e., a goal to eat). Moreover, the possible activation of higher-
order affect takes place after higher-order cognition (LeDoux 1996; Shiv and
Fedorikhin 2002; Shiv et al. 2005), implying that the activation of the eating goal is
delayed compared to the activation of the food restriction goal.
H1: Exposure to food temptations (non-actionable and actionable) triggers
higher-order cognitions under the form of food restriction goals, in
comparison with no prior exposure to food temptations (study 1A).
31
H2: After the activation of the higher-order cognitions (the food restriction
goal), exposure to non-actionable food temptations should trigger
higher-order affect (the eating goal) to a larger extent than exposure to
actionable food temptations (study 1B and study 2).
Cues that render food more salient typically increase its consumption
(Fedoroff et al. 2003; Lambert and Neal 1992; Painter et al. 2002; Wansink 1994,
2004). If exposure to actionable food temptations enhances self-control, the typical
effect of food cues on subsequent consumption should be suppressed. Non-actionable
food temptations do not trigger self-control strategies because they are not
threatening. As a result, the desire to eat activated by exposure to non-actionable food
temptations should result in increased food intake.
H3: Exposure to actionable food temptations is more likely to trigger self-
control processes, which will suppress the effect of food cues that have
been shown to increase consumption, in comparison with exposure to
neutral stimuli and exposure to non-actionable food temptations (study
3A&B).
H4: Exposure to non-actionable food temptations will increase consumers’
consumption in subsequent consumption situations, in comparison with
exposure to neutral stimuli and exposure to actionable food temptations
(study 3A&B).
In study 1, we tested the effects of types of food temptations (Control vs. Non-
Actionable Food Temptation vs. Delayed Actionable Food Temptation vs. Immediate
Actionable Food Temptation) on the immediate activation of a food restriction goal
(study 1A; H1) and the delayed activation of the eating goal (study 1B; H2). In the
second study, we performed a second and better test of the effect of temptation type
on the delayed activation of the eating goal by adding an additional threat. In the third
and last study, we tested the effects of food temptations on subsequent consumption
behavior. In order to test for self-control enhancing effects of actionable food
temptations (H3), we manipulated the convenience of the food offered in the
subsequent consumption situation in study 3A (food cue internal to the subsequent
consumption situation) and an olfactory cue (food cue external to the subsequent
32
consumption situation) in study 3B and evaluated whether actionable food
temptations inhibited the consumption increase that typically follows these cues.
STUDY 1
In study 1, we measured concept/goal activation resulting from temptation
manipulations differing in actionability. This goal activation was measured by means
of a lexical decision task, with faster recognitions of words signifying activation of
associated concepts. We expect all the food temptations, independent of their
actionability, to directly activate a food restriction goal (Fishbach et al. 2003; Shiv
and Fedorikhin 2002; Shiv et al. 2005), as we stated in H1. The food restriction goal
activation was measured in study 1A. Moreover, according to the affective-cognitive
framework (Shiv et al. 2005), after the activation of higher-order cognitions, higher-
order affect (i.e., the goal to eat) might also be triggered (Shiv and Fedorikhin 2002;
Shiv et al. 2005). We state that higher order processes result in the activation of
higher-order affect only if the critical level beyond which self-control strategies are
triggered is not exceeded. In addition, we assume that actionable food temptations, in
comparison with non-actionable food temptations, exceed this critical level because
they are threatening to the achievement of long-term goals (i.e., being slim or
healthy). To verify this assumption, we measured the activation of the eating goal
after a short delay in order to allow the prior activation of higher-order cognitions to
affect higher-order affect. We hypothesized that the eating goal will be activated to a
higher extent after exposure to non-actionable food temptations than after exposure to
actionable food temptations because the latter will trigger self-control strategies which
prevent the activation of this eating goal. In other words, an actionable temptation
may trigger processes enhancing self-control of food intake whereas a non-actionable
temptation does not. This second hypothesis was tested in study 1B.
33
STUDY 1A
Method
One hundred female undergraduate students (age between 18 and 26)
participated for partial fulfillment of a course requirement. The temptation conditions
were run in separate sessions for procedural efficiency in all studies. Each session was
run in groups of maximum eight participants.
Temptation manipulation. On entering the laboratory, participants were given
a knowledge task. In the Non-Actionable Food Temptation condition, participants
were told that the manufacturer of the ‘Quality Street’ candies, which exist in
twelve different flavors, was interested in consumer knowledge of the association
between flavors and wrapper colors. Participants were asked to associate twelve
pictures of the candies (of different colors and shapes) with the corresponding flavor
of each candy (e.g., ‘chocolate with strawberry cream’). In the Delayed Actionable
Food Temptation condition, participants were given the same task while a bowl filled
with lots of these ‘Quality Street’ candies was present next to them. They were told
that the candies were placed there because the pictures were not always very clear.
They were not allowed to eat any candy during the knowledge task. This was done in
order to prevent people from consuming the food used in the knowledge task.
However, this instruction in itself may affect the activation of the food restriction
and/or the eating goal. To rule out this concern, an Immediate Actionable Food
Temptation condition was added, which was identical to the Delayed Actionable Food
Temptation condition except for the instruction that participants were not allowed to
eat the candies during the task. In fact, in the Immediate Actionable Food Temptation
condition, nothing was mentioned about the candies. If actionable food temptations
trigger self-control processes, the findings should be comparable in both actionable
conditions. Participants in the Control condition (i.e., no food temptation) were asked
to match ten colors with ten concepts (e.g., ‘white’ with ‘snow’ and ‘green’ with
‘grass’).
Lexical Decision Task. Right after the temptation manipulation and before
they had the opportunity to consume the candy in the Delayed Actionable Food
34
Temptation condition, participants received the second task. This task consisted of a
lexical decision task, with faster recognitions of words signifying that the
corresponding concept is activated. Following a two second warning screen that
included a fixation cross, a stimulus word appeared on the computer screen.
Participants had to respond as quickly and accurately as possible by pressing one of
two keys to indicate whether the stimulus was a word or a pseudo-word. Response
times (in milliseconds) and accuracy were recorded. To familiarize them with the
task, participants started with a practice round of 10 trials (five neutral words and five
pseudo-words). Fifty-two actual trials followed, including 16 target words related to
food restriction, 10 neutral words, and 26 pseudo-words. The 16 goal-related words
were obtained from a pretest (n = 38) in which we asked participants which thoughts
came to mind when they thought about food restriction (e.g., ‘diet’ and ‘slim’). The
words were shown in fixed order to exclude any cross-over effects, with ‘diet’ as the
first displayed goal-related word because this word interested us most.
Results and Discussion
The screening procedure led us to exclude four women who did not like the
candy. Additionally, four outliers were removed (i.e., 4.2 %, defined as deviating at
least three standard deviations from the mean in their respective conditions), leaving
92 participants in the analyses.
Response time. We conducted an ANCOVA with Temptation as a between
subjects independent variable, and response time on the first food restriction word
‘diet’ as the dependent variable. To control for the substantial inter-individual
variability in latencies, we included the average response time on the neutral words as
a covariate in the analysis (Fazio, 1990). The ANCOVA revealed a significant main
effect of Temptation, F(3, 87) = 5.48, p < .003. In comparison with the Control
condition (M = 609.58, SD = 119.48), ‘diet’ was recognized faster, in the Non-
Actionable Food Temptation condition (M = 520.40, SD = 80.21, F(1, 87) = 13.80, p
< .0004), the Delayed Actionable Food Temptation condition (M = 552.22, SD =
84.41, F(1, 87) = 5.70, p < .02), and the Immediate Actionable Food Temptation
condition (M = 526.40, SD = 58.34, F(1, 87) = 11.31, p < .002). These results
replicate the findings of Fishbach et al. (2003) and support hypothesis 1. There were
no significant differences in activation among the three conditions with a food
35
temptation (all F’s < 2). The results of study 1A show that non-actionable as well as
actionable food temptations activate the goal to restrict food intake, replicating the
findings of Fishbach et al. (2003). Moreover, the results show that the presence of the
instruction not to eat the candies does not matter; the delayed actionable food
temptation does not differ from the immediate actionable food temptation.
STUDY 1B
Method
One hundred and eleven female undergraduate students (age between 18 and
24) participated for partial fulfillment of a course requirement.
Temptation manipulation. The temptation manipulations were identical to
those used in study 1A.
Lexical Decision Task. Right after the temptation manipulation and before
they had the opportunity to consume the candy in the Delayed Actionable Food
Temptation condition, participants received a lexical decision task with a procedure
similar to the one in study 1A. However, there were 100 actual trials, including 24
neutral words at the start, 16 target words related to eating (e.g., ‘eating’ and
‘mouthwatering’; obtained from a pretest (n = 38) in which we asked participants
which thoughts came to mind when they thought about eating), 10 neutral words
mixed between the eating words, and 50 pseudo-words. Before the eating-related
words, the first 24 neutral words and 26 pseudo-words were shown; resulting in a
delay of five min. on average. This delay was added in order to take the activation of
higher-order cognitions preceding the activation of higher-order affect into account
(consistent with the cognitive-affective framework, Shiv et al. 2005, see figure 2.1).
The words were shown in fixed order to exclude any cross-over effects, with ‘eating’
as the first displayed goal-related word because this word interested us most.
36
Results and Discussion
The screening procedure led us to exclude six women who did not like the
candy. Additionally, two outliers were removed (i.e., 1.9 %, defined as deviating at
least three standard deviations from the mean in their respective conditions), leaving
103 participants in the analyses.
Response time. We conducted an ANCOVA with Temptation as a between
subjects independent variable, response time on the first eating-related word ‘eating’
as the dependent variable and the average response time on the neutral words as a
covariate. The ANCOVA revealed a significant main effect of Temptation, F(3, 98) =
2.70, p < .05. In comparison with the Control condition (M = 510.20, SD = 123.11),
‘eating’ was recognized faster, in the Non-Actionable Food Temptation condition (M
= 455.24, SD = 64.98, F(1, 98) = 6.04, p < .02), the Delayed Actionable Food
Temptation condition (M = 460.07, SD = 59.43, F(1, 98) = 5.00, p < .03), and the
Immediate Actionable Food Temptation condition (M = 456.09, SD = 81.46, F(1, 98)
= 5.86, p < .02). There were no significant differences in activation among the three
conditions with a food temptation (all F’s < 1). This implies that the eating goal is
activated in all food temptation conditions after a 5 min. delay, which does not
support hypothesis 2. The results of study 1B show that non-actionable as well as
actionable food temptations activate the eating goal. The activation of this higher-
order affective goal is thus not prevented in the actionable food temptation conditions.
Again, the results show that the presence of the instruction not to eat the candies does
not matter; the delayed actionable food temptation does not differ from the immediate
actionable food temptation. There are two possible explanations for the fact that we
do not find evidence for the second hypothesis. On the one hand, it could be that our
proposed model is not correct and that the eating goal is always activated by food
cues, independent of the threat level of the temptation. On the other hand, it might be
the case that the self-control conflict created by the actionable food temptations is not
threatening enough to exceed the critical level. In other words, the presence of a
second actionable and thus threatening food cue might be necessary in order to exceed
the critical level that is hypothesized to activate the threat detector (figure 2.1) and
hence inhibit the activation of the higher-order affect.
37
The latter explanation has several implications for the predicted pattern of
results. In the control condition, the eating goal should be activated too in comparison
with study 1B because of the presence of an actionable food temptation. In addition,
after exposure to the non-actionable food temptation, the effect of the second
actionable food cue should also be identical to the effects of the actionable food
temptation conditions in study 1B because the initial non-actionable food temptation
is not threatening at all. However, in both actionable conditions, we expect that the
second actionable food temptation that is present during the lexical decision task
should push consumers beyond the critical level (i.e. activate the threat detector),
which should prevent the activation of the eating goal. In order to test these possible
explanations, we conducted a second study, which was identical to study 1B except
that an actionable food temptation was added during the lexical decision task.
STUDY 2
The second study was set up to test whether our model is incorrect or the
critical level was not exceeded in study 1B. Therefore, we measured the eating goal
activation as in study 1B in the presence of an actionable food cue (i.e., two bowls of
M&Ms destined for a subsequent taste test). Overall, we expected an activation of the
eating goal in the control condition and the non-actionable food temptation condition
compared to the two actionable food temptation conditions, because there is a double
threat in the actionable food temptation conditions resulting from surpassing the
critical level. This surpassing should lead to self-control strategies that prevent the
activation of the eating goal.
Method
Seventy-nine female undergraduate students (age between 18 and 25)
participated for partial fulfillment of a course requirement.
Temptation manipulation. The temptation manipulations were identical to
those used in study 1.
Lexical Decision Task. Right after the temptation manipulation and before
they had the opportunity to consume the candy, participants received a lexical
38
decision task, identical to the one in study 1B. In addition, two bowls of the same
volume, one with regular M&Ms (400 grams), and the other with the ‘new’ crispy
M&Ms (300 grams) were placed in front of them while they started the lexical
decision task. These M&Ms were accompanied by a paper message which stated that
they were meant for a subsequent taste test.
Results and Discussion
The screening procedure led us to exclude three women who did not like the
candy. Moreover, three other women were excluded because they consumed some of
the candies before starting the lexical decision task. Additionally, three outliers were
removed (i.e., 4.1 %, defined as deviating at least three standard deviations from the
mean in their respective conditions), leaving 70 participants in the analyses.
Response time. An ANCOVA testing the effects of Temptation on the
response time for the word ‘eating’ (in ms) with the average response time on the
neutral words as a covariate, revealed a significant main effect of Temptation, F(3,
65) = 4.08, p < .02. As we expected, in comparison with the Control condition (M =
448.20, SD = 46.72), the activation of the eating goal was prevented in the Delayed
Actionable Food Temptation condition (M = 505.44, SD = 72.34, F(1, 65) = 3.78, p <
.06) and the Immediate Actionable Food Temptation condition (M = 525.82, SD =
144.80, F(1, 65) = 7.40, p < .009). In comparison with the Non-Actionable Food
Temptation condition (M = 442.98, SD = 52.39, the eating goal was activated to a
lesser extent in the Delayed Actionable Food Temptation condition (M = 505.44, SD
= 72.34, F(1, 65) = 4.52, p < .04) and the Immediate Actionable Food Temptation
condition (M = 525.82, SD = 144.80, F(1, 65) = 8.11, p < .006). A planned contrast
between the Control condition and the Actionable Food Temptation condition on the
one hand (M = 445.73, SD = 49.31) and the two Actionable Food Temptation
conditions on the other hand (i.e., Delayed and Immediate) (M = 516.10, SD =
115.89) revealed a highly significant difference, (F(1, 67) = 12.05, p < .002).
These findings suggest that exposure to actionable food temptations prevents
the activation of the eating goal when a subsequent food opportunity is offered. The
presence of the subsequent food threat is necessary in order to find this prevention of
39
the activation of an eating goal. The second threat (M&Ms) seems to make the threat
detector active which triggers the self-control path in the Delayed and Immediate
Actionable Food Temptations conditions. The next study addresses the question
whether the goal activation reported in studies 1 and 2 transfers to a real consumption
situation.
STUDY 3
In study 3, we tested whether the self-control processes that are triggered when
the critical level of temptation is exceeded actually enhance self-control in a real
consumption situation. As we stated in the third and fourth hypotheses, the initial
exposure to actionable food temptations will push consumers beyond the critical level
when a subsequent actionable food temptation is offered (study 2). The expected
result is a decrease in consumption. Non-actionable food temptations are not
threatening and therefore do not activate the threat detector (figure 2.1). An initial
exposure to non-actionable food temptations does not add to reaching the critical
level. However, as shown in studies 1B and 2, exposure to non-actionable food
temptations activates the eating goal. Therefore, we expect self-control loss, as
reflected by a consumption increase, in the non-actionable temptation condition
compared with the control condition. If, as suggested by the findings of study 2, the
subsequent actionable food offer is combined with an initial exposure to actionable
food temptations, the activation of an eating goal will be prevented. In this way, the
typical consumption increase following consumption stimulating cues will be
suppressed in the Actionable Food Temptation condition.
In study 3A, we rely on the well-documented effect that the convenience of
the food offered increases consumption (Federoff et al. 2003; Wansink 2004). In
study 3B we rely on the well-documented effect that appetizing food cues such as
scent increase consumption. If an actionable food temptation prevents the activation
of the eating goal, it should suppress the typical convenience and scent effects at the
subsequent consumption occasion. Our use of both a food cue internal to the
subsequent consumption situation (study 3A) and a food cue external to the
subsequent consumption situation (study 3B) allows us to generalize the scope of the
process beyond one particular cue that has been shown to increase consumption.
40
Based on prior literature (Federoff et al. 2003; Wansink 2004) we expected
these cues (convenience and scent) to increase consumption in the control condition
because they increase the salience of the cued food. Literature is unclear about
whether we should expect a further increase in consumption in the Non-actionable
Temptation condition as a result of the joint effects of two stimulating cues (i.e. non-
actionable food temptation and the manipulated stimulating cue such as convenience
(study 3A) or scent (study 3B)). We leave this as an explorative question.
STUDY 3A
Method
Participants were 201 female undergraduate students (age between 18 and 26)
who participated in partial fulfillment of a course requirement.
Temptation manipulation. The temptation manipulations were identical to
those used in study 1. Because the effects of the two actionable food temptations did
not differ in the previous studies, we kept only the delayed actionable food temptation
condition. We chose this condition to ensure that no one consumed some of the
candies before the taste test.
Consumption task. After completing the knowledge task and before
participants had the opportunity to eat the ‘Quality Street’ candy, they received the
second task (i.e., a taste test). Participants were given two bowls of the same volume,
one with regular M&Ms (400 grams), and the other with the ‘new’ crispy M&Ms
(300 grams). They were told that they were participating in a comparative taste test of
both types of M&Ms. The participants were allowed to eat as many of the M&Ms as
they needed to evaluate the M&Ms on several dimensions (e.g., ‘are they crunchy?’,
‘are they hard to resist?’, ‘do they have an appetizing aftertaste?’, and ‘do they have
an intense flavor?’).
Convenience manipulation. The convenience of the M&Ms was manipulated
in the taste test. In the Low Convenience condition, the two bowls M&Ms were high
and long (i.e., volume: 530 cm³, surface: 63.6 cm²). In the High Convenience
41
condition, the M&M’s were served in a large dish (i.e., volume: 530 cm³, surface:
180.0 cm²), which made them more convenient to grab. In the Control condition, we
expected to replicate the typical convenience effect (Painter et al. 2002; Schachter,
Friedman, and Handler 1974; Wansink 2004; Wing and Jeffery 2001) namely that
participants would consume more in the High Convenience condition than in the Low
Convenience condition.
Measurements. After the taste test, the bowls were removed, and the
experimenter weighed how many grams of M&Ms had been consumed. Finally,
participants had to indicate how much they liked M&Ms and ‘Quality Street’ candy
(on a scale ranging from 0 to 100), which allowed us to exclude participants from the
analyses who state, by responding ‘0’, that they really do not like one of both. We also
asked them how much time had elapsed since their last food intake before entering the
lab, as a proxy of their hunger level.
Results and discussion
The 201 participants were screened by asking whether they liked M&Ms and
‘Quality Street’ candy. This screening procedure excluded 14 women who did not like
the candy (n = 11) or the M&Ms (n = 3). Additionally, three outliers (i.e., 1.6%,
defined as deviating at least three standard deviations from the mean in their
respective conditions) were removed from the remaining 187 participants, leaving 184
participants in the analyses.
Quantity consumed. An ANCOVA testing the effects of Temptation and
Convenience on the consumed quantity of M&Ms (in grams), with liking for M&Ms
(ranging from 1 to 100, M = 60.66, SD = 24.49) as a covariate, revealed a significant
main effect of Temptation, F(2, 177) = 6.81, p < .002. Moreover, the interaction
contrast between the Control condition and the two temptation conditions combined
(cell combination: [a + (d+f)/2] – [b + (c+e)/2] was significant: F (1, 177) = 3.85, p =
.05 (see figure 2.2). Participants in the Control condition consumed more in the High
Convenience condition (M = 17.72, SD = 13.65) than in the Low Convenience
condition (M = 11.19, SD = 9.84), F(1, 177) = 6.58, p < .02, showing that the
convenience manipulation was successful. As predicted in hypothesis 4, consumption
in the Low Convenience condition was higher in the Non-Actionable Food
42
Temptation (M = 18.04, SD = 12.51) compared to the Control condition (M = 11.19,
SD = 9.84; F(1, 177) = 7.10, p < .009) and to the Delayed Actionable Food
Temptation condition (M = 11.92, SD = 7.75; F(1, 177) = 5.17, p < .03. In addition,
the consumption level of the Actionable Food Temptation condition was comparable
to that in the Control condition (F < 1). Consumption in the High Convenience
condition was lower in the Actionable Food Temptation condition (M = 11.10, SD =
7.07) compared to the Control condition (M = 17.72, SD = 13.65; F(1, 177) = 5.90, p
< .02) and to the Non-Actionable Food Temptation condition (M = 19.32, SD = 13.01;
F(1, 177) = 8.49, p < .005). In other words, the preceding actionable food temptation
suppressed the increase in consumption due to a high convenience of the food cue,
supporting hypothesis 3. In the Non-Actionable Food Temptation condition,
consumption increased regardless of the convenience level.
FIGURE 2.2
Consumption as a function of temptation and convenience, study 3A, with “NFT”: No
Food Temptation, “NAFT”: Non-Actionable Food Temptation and “DAFT”: Delayed
Actionable Food Temptation.
11,19
18,04
11,92
17,72
19,32
11,10
0
5
10
15
20
25
NFT NAFT DAFT
Co
nsu
med
gra
ms M
&M
s
Normal
Convenient
a
b c d
e f
43
STUDY 3B
Method
Participants were 251 female undergraduate students (age between 17 and 33)
in partial fulfillment of a course requirement or in exchange for €6.
Scent manipulation. In order to activate the eating goal, we exposed
participants to the scent of freshly baked brownies. When participants entered, the lab
was filled either with a scent of brownies (i.e., the Scent condition), or with a neutral
scent (i.e., the No Scent condition). Prior research (Fedoroff et al. 2003; Lambert and
Neal 1992) has shown that exposure to an olfactory food cue, here the scent of
brownies, induces craving, liking, and desire to eat the cued food (i.e., cake and
chocolate).
Temptation manipulation. The temptation manipulations were identical to
those used in study 3A.
Consumption task. Right after the temptation manipulation and before
participants had the opportunity to consume the candy, they received the consumption
task, which was identical to the taste test in study 3A, serving the M&Ms in the bowls
used in the low convenience condition of that study. We opted for the low
convenience bowls in order to prevent possible ceiling effects. In other words, we
used the low convenience bowls to disentangle the effect of the appetizing scent in the
most efficient way, independent from the convenience effect. This taste test was
conducted as soon as possible in the experimental session to prevent participants to
adapt to the scent (Morrin and Ratneshwar 2003), which would eliminate its
appetizing effect.
Measurements. As in study 3A, we measured how many grams of M&Ms had
been consumed, how much they liked M&Ms and ‘Quality Street’ candy and how
much time had elapsed since their last food intake before entering the lab.
Results and discussion
The screening procedure led us to exclude eight women who did not like the
candy (n = 6) or the M&Ms (n = 2). Additionally, 4 outliers were removed (i.e., 1.6
44
%, defined as deviating at least three standard deviations from the mean in their
respective conditions), leaving 239 participants in the analyses.
Quantity consumed. A Temptation by Scent ANCOVA on the consumed
quantity of M&Ms (in grams) with liking for M&Ms (ranging from 1 to 100, M =
63.22, SD = 23.53) as a covariate revealed a significant two-way interaction (see
figure 2.3) between Scent and Temptation, F(2, 232) = 3.42, p < .04. In the Control
condition, participants in the Scent condition (M = 24.03, SD = 18.00) consumed
more than in the No Scent condition (M = 14.60, SD = 8.78), F(1, 232) = 9.03, p <
.003, which validates the appetizing effect of the olfactory cue. In the No Scent
condition, the Non-Actionable Food Temptation (M = 21.92, SD = 20.43) increased
consumption compared to the Control condition (M = 14.60, SD = 8.78; F(1, 232) =
4.74, p < .04) and to the Actionable Food Temptation condition (M = 14.95, SD =
10.67; F(1, 232) = 4.16, p < .05), supporting hypothesis 4 and replicating the effects
found in study 3A. The consumption level of the Actionable Food Temptation
condition was comparable to that in the Control condition (F<1). In the Scent
condition, the Actionable Food Temptation condition (M = 14.90, SD = 10.20)
decreased consumption compared to the Control condition (M = 24.03, SD = 18.00;
F(1, 232) = 6.95, p < .009) and to the Non-Actionable Food Temptation condition (M
= 20.38, SD = 17.64; F(1, 232) = 2.74, p < .10), again supporting hypothesis 3. These
results are remarkably similar to the findings of study 3A (see figure 2.3). Again, a
preceding actionable food temptation seemed to inhibit the increase in consumption
due to an appetizing scent found in the Control condition. In the Non-Actionable Food
Temptation condition, consumption increased independent of the scent manipulation.
Taken together, these results suggest that, in support of hypothesis 3, the actionable
food temptation treatment effectively suppressed the consumption increase that
typically accompanies an olfactory cue.
45
FIGURE 2.3
Consumption as a function of temptation and scent, study 3B, with “NFT”: No
Food Temptation, “NAFT”: Non-Actionable Food Temptation and “DAFT”: Delayed
Actionable Food Temptation.
14,6
21,92
14,95
24,03
20,38
14,9
0
5
10
15
20
25
NFT NAFT DAFT
Co
nsu
med
gra
ms M
&M
s
No Scent
Scent
GENERAL DISCUSSION
This article investigated whether food temptations, differing in actionability
(i.e., the opportunity to consume the temptation; pictures of candy vs. a bowl of
candy), encourage or prevent self-control of food intake. In study 1A, we found that
all the food temptations, independent of their actionability, directly activated a food
restriction goal (Fishbach et al. 2003; Shiv and Fedorikhin 2002; Shiv et al. 2005),
supporting H1. In contrast to H2, study 1B showed that the eating goal was activated
in all food temptation conditions. Therefore, a second study tested whether this effect
is due to the incorrectness of our proposed model or the requirement an additional
food threat in the second phase to exceed the critical level of threat. The results show
that, indeed, the pre-exposure to actionable food temptations (i.e., real candy)
prevents the activation of the eating goal when a subsequent food threat is offered.
This additional self-control threat is necessary to trigger the threat detector. Non-
actionable food temptations (i.e., pictures of candy) offer no threat to self-control and
thus do not enhance the surpassing of the critical level by the second actionable food
threat. In the third and last study, we tested whether this also results in self-control
46
enhancement in real subsequent consumption situations. The results show that women
consume more after exposure to a non-actionable food temptation than after exposure
to an actionable food temptation. Moreover, exposure to an actionable food
temptation suppresses the effect of cues that have been shown to increase
consumption; internal (i.e., convenience in study 3A) and external (i.e., an olfactory
cue in study 3B) to the subsequent consumption opportunity. In both studies,
consumption increased after exposure to non-actionable food temptations,
independent of the convenience or scent manipulation.
In sum, exposure to actionable food temptations creates a threat to the long-
term goal of being in good shape which activates the threat detector (figure 2.1) when
a new food threatening food opportunity is encountered. This type of occasion pushes
the consumer beyond the critical level of this threat to the long-term goal, which
triggers self-control strategies The activation of the food restriction goal that resulted
from exposure to these food cues together with the new opportunity to eat will result
in self-control enhancing strategies reflected in the prevention of the activation of the
eating goal. The prevention of the activation of the eating goal results in self-control
enhancement on the consumption occasion that constituted the second threat. This is
consistent with the prediction derived from Gilbert et al. (2004) that exposure to food
temptations can result in self-control enhancement (i.e., food intake control) when the
critical level beyond which self-control strategies are triggered is exceeded.
Moreover, Fishbach et al. (2003) stated that the exposure to temptations might be
more efficient in activating the overriding goal and thus enhancing self-control in
comparison to the direct activation of that goal. Our data are consistent with this
finding. Indeed, exposure to goal-related stimuli creates no self-control threat and
according to our model, does not suffice to reach the critical level. Therefore, the
critical level is not exceeded when a subsequent self-control threat emerges and thus
self-control strategies are not triggered. In addition, Fishbach and Shah (2006) already
suggested that self-control success (i.e., when the original tendency to approach food
stimuli is overridden by the tendency to avoid the stimuli) is enhanced by the strength
of the temptation. In other words, a food temptation should create enough self-control
conflict. Our findings complement the research by Fishbach (2003; 2006) by stating
that the activation of the food restriction goal that resulted from exposure to these
food cues will result in self-control enhancing strategies by preventing the activation
47
of the goal to eat. In addition, this tendency to approach food is overridden only when
the critical level of threat is exceeded. Thus, in contrast to our initial predictions,
actionable food temptations are not sufficient to reduce the activation of an eating
goal but an additional threatening food cue is necessary. This pattern of findings hints
at a process that needs a double input: an initial food temptation that makes the system
sensitive to a subsequent threatening food offer. In this way self-control strategies are
triggered that help to resist that food offer. Only in these circumstances the activation
of the eating goal is overridden. This raises some interesting research questions which
will be discussed in the future research section.
It is important to note that we do not claim that food temptations never lead to
self-control loss. As already mentioned, numerous research showed that consumers
loose their self-control when food is made more salient (Chandon and Wansink 2002;
Fedoroff et al. 2003; Lambert and Neal 1992; Painter et al. 2002; Schachter 1971;
Shiv and Fedorikhin 2002; Wansink 1994; Wansink 1996). Our contribution consists
of providing evidence that salient actionable food cues can lead to self-control
enhancement when the self-control conflict that these cues create in threatening the
pursuit of an opposing long-term goal exceeds the critical level. In other words, this
suggests that the food cues in previous research may not have exceeded such a critical
level and that strongly tempting food cues, that exceed this critical level, offering the
opportunity to consume may better help consumers to control their eating behavior
than weaker tempting food cues that do not exceed the critical level of threat.
We also note that our findings are inconsistent with two alternative
explanations. The first is derived from the self-control strength theory (e.g.,
Baumeister et al. 1998; Vohs and Heatherton 2000), which states that the exertion of
self-control during a first task (e.g., resisting food temptations) leads to self-control
failure in a subsequent task (e.g., overconsumption in a taste test). This theory implies
that participants in the Delayed Actionable Food Temptation condition, which is
depleting because they need to resist the candy, should eat more M&Ms in the
subsequent taste test. The results of studies 3A and 3B yield the opposite pattern,
rejecting ego depletion as an alternative explanation.
48
The other alternative explanation is based on self-perception theory (Bem
1972). The participants may have inferred their self-control capacity on the basis of
their own behavior in the first phase. In the Non-Actionable Food Temptation
condition, they could not eat the ‘Quality Street’ candy and hence they could not infer
anything about their self-control capacity. In the Delayed Actionable Food
Temptation condition, however, they could have eaten the candies (although they had
been urged not to). Their compliance with the request not to eat the candies may have
strengthened these participants’ belief that they were in control of their own
consumption level. The attribution of successful regulatory control (Bem 1972) may
have made it easier for them to resist the subsequent temptation. However, the
Delayed Actionable Food Temptation condition did not differ from the Immediate
Actionable Food Temptation condition in which this instruction was not present.
Moreover, in study 1B, exposure to actionable food temptations activated the goal to
eat which is inconsistent with the self-perception explanation because believing that
you control food intake should not result in the activation of an eating goal.
IMPLICATIONS AND FUTURE RESEARCH
Our results support the counterintuitive idea that advertisements featuring food
temptations might be more of a lure into overconsumption in food opportunities
subsequent to the exposure to the temptation, than placing food right in front of
women. The mechanism behind these effects seems to be that pictures of food are not
seen as a threat and subsequently lead to self-control loss whereas the opportunity to
consume food threatens the achievement of the long-term to be healthy or slim. If this
threat exceeds the critical level, it stimulates the prevention of the activation of the
eating goal, which helps women to maintain their control over their food intake. The
exact dynamics of how and when the critical level is reached needs to be explored
further in subsequent research. How threatening should the temptation be in order to
trigger self-control strategies? Or is it necessary to have two consecutive food
temptations and thus two consecutive self-control conflicts? In this view, it could be
interesting to compare the effects of food temptations differing in salience, namely a
few candies versus a lot of candies. Such a study may reveal the required amount of
food that is required to exceed the critical level. Furthermore, it might be interesting
49
to explore whether the self-control enhancing effect of exposure to actionable food
cues can attenuate the typical preference of affect-laden (e.g., chocolate) over less
affect-laden food (e.g., fruit) (cf. Shiv and Fedorikhin 1999, 2002). We predict that
pre-exposure to an actionable food temptation before the choice between both options
is given, will attenuate the effects found in Shiv and Fedorikhin’s research (1999,
2002), like we found in our studies 3A and 3B. Strictly, our results are also only
generalizable to female students. Generalization to men, and to other age groups, also
remains a matter for further research.
Future research should also explore the role of the similarity between the food
in the two phases and the effect of the two types of temptations (actionable and non-
actionable). In our research, similarity between the food of phase 1 and phase 2 was
high but not perfect. However, the slight difference between the temptation and the
consumption domain testifies to the relevance and strength of our effects. Indeed,
exposure to a food temptation, actionable or non-actionable, influences the consumed
amount of any tempting (unhealthy) food, even if it is dissimilar from the initial
temptation, offered at a later point in time. The fact that the effects were obtained for
slightly differing domains implies that our findings would in all probability also be
obtained if the domains would be identical. However, we are less certain what would
happen when dissimilarity would be higher (e.g. chocolate and cake; chocolate and
pizza, or even chocolate and coke). We know from previous research (Fedoroff et al.
2003; Lambert and Neal 1992) that exposure to the appetizing scent of food, induces
craving, liking, and consumption of the cued food. However, if the offered food (i.e.,
pizza resp. cookies) differed more strongly from the cued food (i.e., cookies resp.
pizza), the effects were not found. These findings imply that exposing consumers to a
non-actionable pizza temptation would lead them to consume more pizza-related food
but not more pizza-unrelated food because the initial non-actionable pizza temptation
induces a desire to eat pizza. For non-actionable temptations then, high similarity
seems to be a requirement. However, for actionable temptations prior literature is less
clear about the role of similarity between the food items in the two phases. Exposure
to an actionable pizza temptation might help consumers to control the consumption of
pizza-related as well as pizza-unrelated food because of the general initial activation
of strategies to solve the self-control conflict. This initial activation pushes consumers
50
beyond the critical level of threat by the second self-control conflict, even if this
concerns a food cue unrelated to the first food cue.
Finally, we call for future research that explores to what extent the effect of the
actionable temptation depends on the success at food restriction. Some research
suggests that tasting a little bit of a food temptation could be a successful inhibitor of
the urge to eat for binge eaters (Jansen 1998). As a result, small transgressions against
the personal norm of rational food intake may push the consumer beyond the critical
level and in this way lead to the enhancement of food intake control. However, the
disinhibition effect (Cochran and Tesser 1996; Polivy and Herman 1985) suggests that
small transgressions may also break down inhibition and hence food intake control.
When people exceed the caloric limit they set for themselves for any given day,
people tend to stop restraining their food intake for that specific day and overindulge
because the day is already lost, also called the what-the-hell-effect. If consumers
would succumb to the actionable food temptation, they may overconsume the food
offered at a later point in time because they already lost control by consuming the
food temptation. Assuming that the consumption of a small amount of the food
temptation should at least be equally threatening as having the opportunity to
consume the food, we expect that tasting a small amount of the actionable food
temptation does not lead to self-control loss in a subsequent consumption opportunity.
However, based on prior literature documenting the what-the-hell-effect large
amounts may lead to the interpretation that ‘this day is lost anyway’ and thus self-
control loss.
Together, our results imply that advertisements showing pictures of tempting
food increase women’s food consumption. However, tempting these consumers with
real food helps them in controlling their food intake when the critical level of threat is
exceeded. Having candy in large stocks at home thus might help women in their
attempts at controlling their food intake, whereas seeing pictures of food in magazines
or on television might lead them to eat more when given the occasion.
51
MANUSCRIPT III:
DEFEAT TEMPTATIONS AND GROW IN SELF-
CONTROL
ABSTRACT
This paper examined how the exertion of self-control in one conflict situation
influences the success of self-control exertion in a subsequent similar self-control
requiring situation. Consistent with the cognitive control theory, which claims that the
well-established reduction in self-control performance following prior exertion of
self-control (the so-called ego depletion effect) is a consequence of people’s
adaptation to situational demands, we show that typical depletion effects occur only
when the nature of the response conflict in the two subsequent tasks is different.
When the nature of the response conflict in the two subsequent tasks is similar, we
found that exerting self-control improves subsequent self-control performance. In
other words, we showed that a state of depletion that was caused by inhibiting food
intake subsequently improved self-control performance in the domain of food intake
control.
52
Consider you need to choose a dish for lunch and you have the choice between
a salad and a hamburger. This situation exposes you to a common conflict between
the short-term desire of wanting an unhealthy snack (i.e., the hamburger) and the
long-term goal to remain healthy or physically attractive which can be obtained by
choosing the health snack (i.e., the salad). In order to resist the hamburger and
maintain the achievement of long-term goals, the exertion of costly self-control efforts
is required. However, according to previous research (Baumeister et al. 1994; Carver
and Scheier 1998; Tice et al. 2001), some individuals are able to resist the short-term
need to indulge in temptations or cravings, whereas others succumb to them. Many of
us often end up with the hamburger because the strength to control themselves is
lacking. More in general, we can state that self-control is lost when the desire for a
given immediate behavior (e.g., eating) is greater than the consumer’s willpower to
achieve long-term goals (e.g., food intake control) (Hoch and Loewenstein 1991;
Loewenstein 1996; Metcalfe and Mischel 1999). In other words, short-run cravings
often prevent people from pursuing their long-term goals.
Substantial research (for a review, see Vohs and Baumeister 2004) showed
that the exertion of self-control in a first phase reduces self-control performance in a
subsequent self-control task. For example, it has been shown that responses such as
thought control (Muraven, Tice, and Baumeister 1998), emotional regulation
(Baumeister et al. 1998), response inhibition (Wallace and Baumeister 2002), repeated
choosing (Bruyneel et al. 2006), intellectual performance (Schmeichel, Vohs, and
Baumeister 2003), food intake control (Vohs and Heatherton 2000), and self-
presentation (Vohs, Baumeister, and Ciarocco 2005) involve reduced performance on
a subsequent self-control task. In the current article we will focus on the role of
similarity between the two subsequent self-control tasks. In other words, we will
examine how the exertion of self-control in one conflict situation influences the
success of self-control exertion in a subsequent similar self-control requiring situation.
The remainder of this paper is organized as follows. We first review the
literature suggesting that self-control exertion taxes a limited resource which leads to
reduced self-control performance in a subsequent self-control task (i.e., the ego-
depletion theory) (e.g., Muraven and Baumeister 2000). Next, some findings from
cognitive neuroscience (i.e., the cognitive control theory) (Botvinick et al. 2001;
53
Miller and Cohen 2001) are discussed, which suggest that self-control exertion can
enhance self-control performance on a subsequent similar self-control task. This view
is consistent with some recent findings that exposure to temptations that threaten the
achievement of a long term goal facilitates the activation level of a construct
representing a potentially obstructed goal (Fishbach et al. 2003) and subsequent self-
control performance on a similar task (manuscript II). After briefly reviewing the ego-
depletion effect and two theories that may explain the effect (i.e., the self-control
strength model; Muraven and Baumeister 2000; and the cognitive control theory;
Botvinick et al. 2001) we will derive divergent predictions from both theories
concerning the performance at consecutive self-control tasks involving similar
response conflicts. The self-control strength model predicts a deterioration of self-
control performance, whereas the cognitive control model predicts an improvement.
After testing the divergent predictions, we conclude the paper with drawing
theoretical implications from our results and sketching some future research
opportunities.
THE SELF-CONTROL STRENGTH MODEL
The ego-depletion literature states that exerting self-control taxes a limited
resource that is akin to energy or strength, and thus brings people in a state of resource
depletion (Muraven and Baumeister 2000). This state reduces people’s capacity to
exert self-control in the next phase.
Studies documenting the depletion effect (Vohs and Baumeister 2004)
typically comprise two phases. In a first phase, half of the people face a situation that
requires them to exert self-control and half do not. In the second phase, people are put
in another situation that requires them to exert self-control (e.g., Baumeister et al.
1998). The robust finding is that self-control performance suffers in the second phase
for those people who exerted self-control in the first phase relative to those who did
not exert self-control in the first phase. Taken together, these studies yield an
impressive set of behaviors (e.g., response inhibition (Wallace and Baumeister 2002)
and food intake control (Vohs and Heatherton 2000) that appear to rely on the scarce
resource that is needed in self-control exertion.
54
THE COGNITIVE CONTROL MODEL
Cognitive control refers to the remarkable ability of the cognitive system to
perform well at specific tasks through adjustments in perceptual selection, response
biasing, and the on-line maintenance of contextual information (Botvinick et al.
2001). Cognitive control theory (Botvinick et al. 2001; Miller and Cohen 2001)
claims that people have a system that monitors ongoing responses and identifies
instances of response conflict, signaling the need for adjustments in control (e.g.,
Carter et al. 1998; Gehring and Fencsik 2001; van Veen and Carter 2002). The
detection of conflict is an important function of a particular area of the human frontal
lobe, namely, the anterior cingulate cortex (ACC). Indeed, in the brain literature at
large, the ACC activation has been found to be highest in situations where the demand
for control is likely to be high, like the overcoming of a strong habitual response,
resistance to temptation, engaging in novel sequences of actions, and troubleshooting
(Shallice and Burgess 1993). Once a conflict is detected, which activates the ACC, the
second, regulatory system, which induces top-down control-related processes to
become actively involved in potentially challenging situations, is alerted. This
guidance of behavior by internal states or intentions is executed through the prefrontal
cortex (PFC). The PFC actively maintains patterns of activity that represent goals and
the means to achieve them. In this way, the PFC guides task performance and
increases the likelihood that the intended response is activated while unintended
responses are inhibited (e.g., Botvinick et al. 2001; Carter et al. 2000; Kerns et al.
2004). Patterns of activity in the PFC configure processing in other parts of the brain
in accordance with current task demands. Control is adjusted on-line, in response to
variations in performance.
The most studied example of task-induced adjustments in control is the classic
Stroop conflict paradigm (Stroop 1935). The Stroop task consists in naming the ink
color in which a color word is displayed. The ink color of the word and the word
meaning can be matched (e.g., the word ‘red’ written in red ink) or mismatched (e.g.,
the word ‘red’ written in green ink). The standard pattern which is observed in this
experimental situation is a higher reaction time for incongruent words, called
interference. According to the cognitive control model (Botvinick et al. 2001; Miller
and Cohen 2001), word-reading is a strong habitual response. Color-naming, on the
55
other hand, is a weaker response, but it should override the stronger word-reading
response if the participant is to comply with the task instructions. The capacity to
override the dominant response (i.e., word-reading) is supported by the activation of
the PFC that maintains the appropriate task-relevant goal and inhibits the automatic
reading association. Moreover, the degree of interference from word reading on color
naming depends on the frequency of incongruent trials, with less interference
occurring when incongruent trials are frequent (e.g., Tzelgov, Henik, and Berger
1992). The occurrence of incongruent trials leads people to selectively attend to one
attribute and focus more effectively on the color-naming task, enhancing their ability
to avoid interference from the word-reading response. This is because incongruent
trials involve a lot of conflict, which triggers activity in the ACC and hence in the
PFC (Botvinick et al. 2001). One of the most fundamental aspects of cognitive control
and goal-directed behavior in general is the ability to select this weaker, task-relevant
response over the stronger, but task-irrelevant response (Miller and Cohen 2001).
Cognitive control theory claims that this ability relies on the detection of response
conflict and the subsequent recruitment of control processes.
However, and very relevant for our current purposes, the recruitment and
deactivation of cognitive control is a gradual process that is characterized by a degree
of inertia (Botvinick et al. 2001). Miller and Cohen (2001) asserted that the PFC must
maintain the task-relevant information in the face of intervening, irrelevant, and
potentially interfering events. This activation of the rules necessary to perform the
task often extends beyond the eliciting event. The sustained activity in the PFC
reduces the flexibility of the PFC for a while which will deteriorate task performance
when the task is preceded by a task involving a different response conflict that
requires control processes to be successful.
Applied to self-control, cognitive control implies that adapting to self-control
situations involves a fine-tuning of one’s response set to increase the fit with the
current situational demands (Miller and Cohen 2001). For instance, adapting to a
traditional Stroop task implies learning to ignore the feature that is dominant as a
result of more extensive and consistent use (i.e., the word meaning) and focusing on
the feature that is subdominant as a result of less extensive and consistent use (i.e., the
word color). In the first trials, the response conflict is intense: the response that wins
56
the race is the wrong one. As the individual learns to ignore the dominant but
irrelevant dimension, the response conflict weakens and performance improves.
THE SELF-CONTROL STRENGTH MODEL AND THE COGNITIVE
CONTROL MODEL.
Task circumstances that have been identified as involving a high demand for
control require planning, decision-making, troubleshooting, the overcoming of a
strong habitual or emotional response, or resisting temptation. They might also be ill-
learned or contain novel sequences of actions, or be technically difficult (Shallice and
Burgess 1993; Norman and Shallice 1986). Interestingly, both the cognitive control
theory (e.g., Botvinick et al. 2001) and the self-control strength theory (e.g., Vohs and
Baumeister 2004) refer to these very task characteristics when theorizing about
cognitive control and self-control, respectively.
The previous sections showed that the vast number of depletion effects that
have been reported in the literature (for an overview, see Vohs and Baumeister 2004)
concerned a sequence of two such tasks involving a high demand. We argue that the
deterioration in self-control performance from task 1 to task 2 that is typically
observed can be reconciled by both the self-control strength theory and the cognitive
control theory. It is well-known that self-control strength theory claims that exerting
self-control in phase 1 consumes a scarce resource, resulting in a reduction in people’s
capacity to exert self-control in phase 2. The explanation according to the cognitive
control model is slightly different. Exerting self-control in phase 1 gears the PFC
towards one particular response set that matches the current tasks demands. In this
process, the PFC temporarily looses some of its flexibility that is required to quickly
adjust to the demands of the task in phase 2. So in the traditional depletion paradigm,
in which two different self-control tasks follow each other, both models can explain
the observed behavior: self-control performance deteriorates from phase 1 to phase 2.
We use the term ego depletion to refer to this well-established phenomenon.
However, when the models are exported to a new situation in which two subsequent
self-control tasks involve similar response conflicts, the two models start to produce
sharply diverging predictions.
57
Cognitive control model predictions
ACC activation has been associated with tasks involving various types of
conflict (e.g., tasks calling for the overriding of relatively automatic but task-
inappropriate responses involve conflict between processing pathways leading to
correct (but usually weaker) and incorrect (but usually strong) responses). In all cases,
the detection of conflict results in an adjustment of one’s behavior in response to
one’s own performance. Difficulty in the task results in a temporarily more focused,
conservative approach and thus an increase in task performance (Botvinick et al.
2001). This leads to the straightforward prediction that when two similar highly
demanding tasks follow each other, performance will improve from the first phase to
the next.
Self-control strength model predictions
The self-control resource has been shown to underlie various types of
behaviors, such as response inhibition (Baumeister et al. 1998, study 1), thought
suppression (Muraven et al. 1998), or repeated choosing (Bruyneel et al. 2006). In all
cases, it has been suggested that performance on these tasks relies on a scarce
resource. The consumption of this resource reduces people’s ability to exert self-
control in the next phase, even at unrelated self-control tasks. This leads to the
straightforward prediction that when two similar highly demanding tasks follow each
other, performance will deteriorate from the first phase to the next.
THE CURRENT STUDY
The aim of the current study is to test the predictions derived from the self-
control strength model and the predictions derived from the cognitive control model
against each other. We investigated whether continuing to exert self-control in the
same domain either reduces performance (consistent with the self-control strength
model) or enhances performance (consistent with the cognitive control model). We
investigated whether the similarity between the two subsequent tasks moderates the
direction of the depletion effect by keeping the task in phase 1 constant and
58
manipulating response conflict similarity between the self-control tasks in both phases
by manipulating the nature of the task in the second phase.
In the first phase, participants were either tempted with attractive chocolates
but asked not to eat any (e.g., Baumeister et al. 1998, study 1), or were asked to
engage in a non-demanding task. In the second phase, half of the participants were
asked to engage in a difficult anagram in which we measured their persistence in
seconds (Baumeister et al. 1998, study 3). Backed by almost a decade of consistent
findings, the self-control strength model unequivocally predicts that persistence on the
anagram task will reduce in the group that was previously tempted and had to exert
self-control to resist their urge to take a sweet, as compared to the control group. The
cognitive control model provides us with the same prediction. The other half of the
participants was asked to engage in a taste test rather than to solve an anagram in the
second phase of the study. Controlling food intake in a taste test of attractive sweets
requires self-control (e.g., Baumeister et al. 1998, study 1; Shiv and Fedorikhin 1999;
Vohs and Heatherton 2000). It is important to stress that the response conflict that is
evoked in a taste test (“I would like to eat, but I shouldn’t eat too much”) is highly
similar to the response conflict in the first phase (“I would like to eat, but I can’t”).
Nevertheless, any spill over from phase 1 to phase 2 cannot be the result of exercising
or a persistence of instruction effects, because the task and the task instructions differ
substantially across the two phases. For one thing, in the first phase, we ask them not
to eat, whereas in the second task, eating was absolutely required to complete the
central task in a meaningful way.
The self-control strength model predicts that depleted participants will have
more trouble controlling their food intake than the control group, whereas the
cognitive control model predicts that the depleted group will perform better at the
taste test. Performance reflects success at regulating food intake (i.e., low
consumption amounts).
59
Method
Participants
One hundred and fifty-two female students participated in exchange for a
participation fee or for course credit. They came to the lab in groups of 4 to 8 people.
We used only women because gender has a major impact on food regulation which is
not the main concern of the current study (e.g., Fishbach et al. 2003).
Procedure
Temptation manipulation. In the High temptation condition, participants were
given a knowledge task on entering the laboratory. Participants were told that the
manufacturer of the chocolate candy brand ‘Quality Street’ was interested in
consumer knowledge of the association between candy flavors on the one hand and
wrap colors and shapes on the other hand. Participants were asked to associate twelve
pictures of the candies (of different colors and shapes) with the corresponding flavor
of each candy (e.g., ‘chocolate with strawberry cream’). In addition, a bowl filled with
lots of these ‘Quality Street’ candies was present next to them. They were told that the
candies were placed there because the pictures were not always very clear. They were
not allowed to eat any candy during the knowledge task, but were told that they were
free to eat as many chocolates as they desired after the knowledge task. In this way,
participants had to exert self-control in order to resist the candies during the
knowledge task. Before participants had the opportunity to eat the ‘Quality Street’
candy after the completion of the knowledge task, the second phase started. During
the first phase of the study, participants in the No temptation condition were asked to
match ten colors with ten concepts (e.g., ‘white’ with ‘snow and ‘green’ with ‘grass’).
The self-control task in the second phase was either similar or dissimilar to the
self-control task in the first phase.
High similarity. In the highly similar self-control task, participants engaged in
a taste test of a relatively unhealthy product. In line with prior research, we consider
restricting consumption in taste tests of unhealthy products as an act of self-control
(e.g., Fishbach et al. 2003; Tice et al. 2001). Participants were given two bowls of the
60
same volume, one with regular M&Ms (400 grams), and the other with the ‘new’
crispy M&Ms (300 grams). They were told that they were participating in a
comparative taste test of both types of M&Ms. The participants were allowed to eat as
many of the M&Ms as they needed to evaluate the M&Ms on several dimensions
(e.g., ‘are they crunchy?’, ‘are they hard to resist?’). After the taste test, the bowls
were removed, and the experimenter weighed how many M&Ms had been consumed.
Low similarity. The low similarity self-control task consisted of untangling an
anagram (Baumeister et al. 1998). Participants received a difficult anagram on
computer. They received 8 characters and had to form appropriate words of at least 7
letters. Only five words were possible and a pretest showed that the majority of the
people found none. The time spent solving the anagram (i.e., a persistence measure)
was recorded.
A pretest in the same population (n = 46) showed that the temptation
manipulation did not affect positive (No temptation; M = 29.7, SD = 6.2; High
temptation; M = 29.0, SD = 6.8, F<1) and negative affect (No temptation; M = 12.9,
SD = 3.9; High temptation; M = 13.2, SD = 4.1, F<1). We preferred measuring affect
in a different sample to preclude participants from consuming the candies of the first
phase during the completion of the affect measure.
Results and discussion
Because the distributions of time spent and quantity consumed were skewed to
the right, both variables were log-transformed. Both dependent measures were
standardized. For the sake of clarity, the quantity consumed was reversed such that
higher values mean better self-control for both self-control tasks. An ANOVA testing
the effects of Temptation and Similarity on the self-control performance measure
revealed a significant interaction between Similarity and Temptation: F(1,149) =
10.07, p < .002 (see figure 3.1). The main effects were not significant (Fs < 0.1). In
the Low similarity condition, tempted people spent less time solving anagrams,
F(1,149) = 4.98, p < .03 (tempted: M = 140s, SD = 136, not tempted: M = 189s, SD =
140). In the High similarity condition, tempted people performed better at the taste
61
test by consuming less, F(1,149) = 5.10, p < .03 (tempted: M = 9.28g, SD = 5.9; not
tempted: M = 13.12g, SD = 7.84).
FIGURE 3.1
Self-control performance (standardized) as a function of the similarity between the
second task (high for the Taste test and low for the Anagram) and preceding level of
food temptation.
The results show that previous exertion of self-control enhances performance
at a second self-control task provided that the second task is similar to the first task
with respect to the response conflict it triggers. At first sight, these findings seem
inconsistent with earlier findings showing that exerting self-control in a food
temptation situation leads to increased consumption in a subsequent food
consumption situation (Vohs and Heatherton 2000, study 1). However, at least for
non-dieters in that study, the trend was consistent with our findings. In the “don’t
touch” condition, putting tempting food at non-dieters’ reach reduced their
consumption compared to putting tempting food out of reach.
-0,3
-0,2
-0,1
0
0,1
0,2
0,3
Anagram Taste test
Second task
Sel
f-co
ntr
ol
per
form
an
ce
High temptation
No temptation
First task
62
GENERAL DISCUSSION
This paper examined how the exertion of self-control in one conflict situation
influences the success of self-control exertion in a subsequent similar self-control
requiring situation. According to the self-control strength theory (Muraven and
Baumeister 2000), performance on tasks involving conflict relies on a scarce resource.
The consumption of this resource reduces people’s ability to overriding one’s
behavior, thoughts, or emotions in a next phase, even at unrelated self-control tasks.
The cognitive control theory (Botvinick et al. 2001), on the other hand, states that
performance on conflict involving tasks improves through temporal adaptation of
one’s behavior to highly demanding situations. Difficulty and conflict in the task
results in a temporarily more focused, conservative approach and thus an increase in
task performance. Although indistinguishable in situations where two unrelated self-
control tasks follow each other (i.e., both models predict a reduction in self-control
performance), the two models yield sharply divergent predictions when applied to a
situation in which two similar self-control tasks follow each other. The self-control
strength model predicts that exerting self-control is depleting, and hence negatively
affects self-control ability in any subsequent situation, irrespective of the similarity
between both types of demand. The cognitive control theory, in contrast, predicts that
response conflicts lead people to temporally adapt to this type of situation, which
should enhance their ability to deal with a subsequent similar response conflict. Our
data provide strong support for the cognitive control model. We showed that a state of
depletion that was caused by inhibiting food intake subsequently improved self-
control performance in the domain of food intake control.
Theoretical Implications
The first implication of our findings is that the ego depletion effect is
moderated by the similarity of the response conflict in the two subsequent self-control
demanding situations. Thereby, similarity is added to the short list of boundary
conditions to the ego depletion effect, in addition to activated beliefs (Martijn et al.
2003), the construction of implementation intentions (Webb and Sheeran 2003), and
high levels of motivation (Muraven and Slessareva 2003). The ego depletion effect
63
occurs only when the response conflict characterizing two subsequent self-control
phases is sufficiently different.
Moreover, our findings suggest exerting self-control in a situation that
involves a certain response conflict appears to facilitate self-control in a subsequent
situation that involves a highly similar response conflict. More specific, inhibiting
food intake in a first phase enhances food intake control in a subsequent taste test. The
implication of these findings is that exerting effort is not a sufficient condition for the
ego depletion effect (in the sense of reduced self-control capacity) to occur. People in
the high similarity conditions had exerted self-control in the first phase but performed
better in the second phase than control participants. Effort does not necessarily induce
depletion. Rather, it may be a side-effect of an adaptive process that helps people to
deal with highly demanding situations.
In addition, according to cognitive control theory, people’s ability to exert
control can be seen as an adaptive process to deal with highly demanding situations.
According to Botvinick et al. (2001), cognitive control has the flavor of strategic
behavior. In each case, individuals adjust their behavioral response to their own
performance. In this way, difficulty leads to a more focused, conservative approach,
whereas ease leads to a slackening of cautiousness or effort. The assessment of
demand for control is evaluated by the occurrence of conflict. Therefore, conflict has
the potential to act as an early warning system, allowing people to deal with problems
before they actually occur. Miller and Cohen (2001) also observed that the conflict
detection system allows people to adapt the degree of control they allocate to a task.
For instance, drivers pay closer attention to the road on a dark and rainy night than on
a bright day. Such adaptive adjustments would correspond to the strength of the PFC
activity. The more signals of conflict detection from the ACC, the stronger the need
for the allocation of additional control and thus the activation of the PFC. That is, in
addition to the regulative dimension of control (through the PFC), there also exists an
evaluative component that monitors information processing (through the ACC),
making an assessment of current demands. In this way, the homunculus (that “just
knows” when to intercede) can be expunged from theories of cognitive control (Miller
and Cohen 2001).
64
Future research
An interesting line for future research pertains to the moderating role of
success at adapting to a particular response conflict. Whenever a response is
successful, reinforcement signals increase the corresponding pattern of activity by
strengthening connections between the PFC neurons that are activated by that
response. Because of this strengthened pathway, task-relevant responses may
eventually gradually become automatic. When this happens, conflict and hence the
need for control diminishes. Activation in the ACC reduces, which is passed on to the
PFC, triggering it to adjust the strength of its influence on processing (Botvinick et al.
2001; Miller and Cohen 2001). Gradually, the PFC becomes irrelevant in the control
of a certain task (e.g., riding a bike, Norman and Shallice 1986). This would imply
that training in resisting tempting food stimuli might be a very effective strategy to
untangle the obesity epidemic. In other words, exposure to strongly tempting food
cues whose resistance requires self-control might be a better in helping consumers
resist them in comparison to safeguarding them from these threatening temptations
(e.g., by offering low-fat snack products).
65
GENERAL DISCUSSION
SUMMARY OF THE FINDINGS
In this dissertation, we investigated how self-control in the domain of food
intake control can be enhanced. The main research question was when environmental
cues hurt or help the exertion of self-control in a subsequent task.
In Manuscript I, we showed that the direct activation of cool nodes (i.e., the
diet/health concept) does not enhance self-control. Indeed, the consumed amount of
regular snack products was not affected by the association with health references.
Moreover, these health references led to self-control loss (i.e., increased consumption)
when they accompany low-fat snack products, probably because they influence the
perceived healthiness of the low-fat snack products (i.e., healthier when accompanied
with health references). Therefore, we examined another possible strategy to enhance
self-control. More specifically, in manuscript II, we investigated whether exposure to
hot, tempting stimuli helps consumers control their food intake on a subsequent
consumption occasion. The results of this second manuscript suggest that, in line with
Fishbach et al. (2003), exposure to actionable food temptations (i.e., hot nodes) can
result in self-control enhancement (i.e., food intake control) when the critical level
beyond which self-control strategies are triggered is exceeded (Gilbert et al. 2004).
Together with the findings of manuscript I, this suggests that the activation of hot
nodes can enhance resistance to subsequent temptations, whereas the activation of
cool nodes does not. According to Fishbach et al. (2003), this difference is explicable
by the fact that temptations activate a narrower set of self-control intentions in
comparison to the direct activation of the goal. The results of our research add that
exposure to threatening food stimuli possibly leads to self-control enhancement when
these threatening stimuli exceed the critical level from which self-control enhancing
strategies are triggered. As shown in manuscript II, self-control is enhanced by the
prevention of the activation of an eating goal. However, the finding that inhibiting
food intake in a first phase subsequently improves food intake control is contradictive
to the ego-depletion literature (Muraven and Baumeister 2000). According to the self-
66
control strength model, the dominant theory in the ego depletion literature, the initial
self-control exertion through resistance of the actionable food temptation should lead
to decreased self-control performance in a subsequent taste test. The examination of
this apparent inconsistency between the main findings of manuscript II and the ego
depletion literature, led to manuscript III. We showed that self-control enhancement in
a taste test was enhanced only if this self-control requiring task was preceded by a
self-control task that was similar in nature (i.e., resisting tempting candies). When the
subsequent self-control task was dissimilar as the self-control task of phase 1 (i.e.,
food intake control in phase 1 and persistence on a difficult anagram task in phase 2),
self-control in the taste test was lost, replicating the effect typically found in the ego-
depletion literature. The cognitive control theory (Botvinick et al. 2001) offers an
appropriate framework for the effects found in manuscript III. According to this
theory, performance on tasks that involve a response conflict improves through
temporal adaptation of one’s behavior to the response conflict. This adaptation
temporarily results in a more focused, conservative approach and thus an increase in
task performance on the present task, and on subsequent tasks with a similar response
conflict. At the same time, this temporary sustained activation of the rules necessary
to perform well on the task deteriorates task performance when the subsequent task
involves a different response conflict. If viable, this theory implies that the ego-
depletion effect (Muraven and Baumeister 2000) occurs only when the response
conflict characterizing two consecutive self-control phases is sufficiently different.
When two similar self-control tasks follow each other, like in manuscript II, self-
control performance in a subsequent similar self-control task is enhanced by the
adjustment to the response conflict that was already induced by the first task. Applied
to the theoretical framework developed in manuscript II, the initial self-control
conflict induced by the exposure to the actionable food cues makes consumers adapt
to the concrete task characteristics by avoiding the consumption of the tempting food.
This initial activation of strategies that help to solve the self-control conflict enables
consumers to successfully activate and use these strategies when a subsequent similar
self-control conflict occurs. In other words, the first activation enables the second
self-control conflict to exceed the critical level of threat. Without the first self-control
conflict, the second temptation would not result in self-control enhancement. An
important implication of this finding is that the exertion of self-control is not always
detrimental to subsequent self-control performance. Quite the contrary, self-control
67
exertion in one conflict situation may enhance self-control performance in a
subsequent situation that requires self-control if these consecutive self-control tasks
involve a similar response conflict.
IMPLICATIONS
Together, the results of the three manuscripts imply that it is better to be
strongly tempted than to be shielded from these threatening temptations (e.g., by
offering low-fat snack products) in order to become better at self-control. The strategy
to stimulate the market penetration of low-fat products in order to reduce overall
caloric intake, as put forward by the WHO (2004), might even worsen instead of
improve the obesity problem if the increase in consumption volume more than offsets
the decreased fat intake due to the lower fat levels in low-fat products. The typical co-
occurrence of these low-fat snack products with health associations might cause these
products to be perceived as healthier and thus less threatening. As we observed in
manuscript I, the association of low-fat snack products with health references results
in increased consumption. For regular snack products no effects of the health
references were found, indicating that the activation of goal-related concepts does not
result in self-control enhancement, but quite the contrary, leads to self-control loss
when combined with low-fat snack products. If this increased consumption translates
to increased absolute caloric intake, the intended caloric reduction might be
counteracted and people might end up consuming as many calories or even more
calories than when they would consume traditional high fat food. This implies that
interventions aimed at reducing fat intake by increasing liking for low-fat foods, along
with increasing the proportion of low-fat food in the household (Raynor et al. 2004)
should be carefully considered. If consumers perceive low-fat snacks products as
being healthier than they really are, they may stimulate consumption. In sum, the
findings of the first manuscript imply that it may be a good idea to control health
references on packages and in ads.
In manuscript II, we found that, as suggested by Fishbach et al. (2003), it
might be better to expose consumers with real actionable food cues (i.e., hot nodes)
instead of exposing consumers to concepts related to food inhibition (i.e., cool nodes)
in order to enhance food intake control. Food cues are threatening to the long-term
68
goal of being slim and healthy. When the critical level of this threat to the long-term
goal is exceeded, the activation of the food restriction goal that resulted from
exposure to these food cues will result in self-control enhancing strategies by
preventing the activation of the goal to eat. Non-actionable food temptations (e.g.,
pictures of foods like in ads) are not threatening and thus can not exceed the critical
level of threat. This might explain why the activation of hot nodes is more efficient in
triggering self-control strategies in comparison to the direct activation of cool nodes,
as already suggested by Fishbach et al. (2003). Indeed, exposure to goal-related
stimuli, like in manuscript I, is not threatening. Therefore, the critical level is not
exceeded and thus self-control strategies are not triggered.
Moreover, as suggested by manuscript III, resistance to actionable food
temptations temporarily adapts the consumer’s behavior to the response conflict
caused by the presence of the candies (i.e., the desire to eat and craving for the candy
vs. the goal to comply with the (implicit) situational instructions). In other words,
consumer’s focus will be on successfully performing this self-control demanding task.
The adaptation to the conflict specific to the exposure to the candies enables the task
performance. When a subsequent task involves a similar response conflict, the
previously initiated adaptation to that response conflict will enable performance on
the second task. When a subsequent task involves a different response conflict,
however, the previously initiated adaptation to the dissimilar response conflict will
deteriorate performance on the second task. These findings imply that self-control will
be enhanced when two similar self-control tasks follow each other, like we found in
manuscript II. Together, the findings of manuscripts II and III imply that exposure to
threatening food temptations that require self-control to resist, possibly results in
food-intake control enhancement when a consumption opportunity is offered. This
self-control enhancement implies that the original tendency to crave for the food is
overridden by the tendency to avoid the food stimuli, which threat the continued
pursuit of overarching and opposing goals.
Strongly tempting consumers thus seems to be a more efficient strategy to
combat the obesity epidemic than stimulating the consumption of low-fat products.
However, it is important to note that our data do not allow us to claim that low-fat
snack products are bad. We do support the initiative to produce and offer snacks that
69
contain fewer calories. However, we want to warn for their typical associations with
health. These health associations might influence the health perception of these
products and hence lead to increased consumption. In addition, we note that we do not
claim that food temptations never lead to self-control loss. Numerous researchers
(Chandon and Wansink 2002; Fedoroff et al. 2003; Lambert and Neal 1992; Painter et
al. 2002; Schachter 1971; Shiv and Fedorikhin 2002; Wansink 1994; Wansink 1996)
showed that consumers loose their self-control when food is made more salient. Our
contribution consists of providing evidence that salient actionable food cues can lead
to self-control enhancement when the self-control conflict that these cues create
threatening the pursuit of an opposing long-term goal exceeds the critical level. In
other words, this suggests that the food cues in previous research did not exceed this
critical level and that food cues can better be too tempting in order to help consumers
control their eating behavior. At this point, however, it is not clear how this critical
level is determined, which brings us to the discussion of future research opportunities.
FUTURE RESEARCH AND LIMITATIONS
In the discussion section of each manuscript, we already mentioned possible
future research directions which will be discussed in depth in this section.
Health Primes and Low-fat Snack Products
The results of the first manuscript suggest that it is not efficient to enhance
self-control by directly activating the goal necessary to exert self-control. However,
we investigated the effects of health primes on the consumption of low-fat snacks
offered alone or in the presence of regularly unhealthy snacks. The fact that the
consumed amount of the regular snack product was not influenced by the health
primes (i.e., the lack of effect) might be due to the presence of the low-fat snack
product. It remains possible that the activation of the diet or health goal enhances self-
control in the absence of other options. In this case, the effect of the exposure to goal-
related cues can not affect the perception of the low-fat snack product and thus might
result in the activation of a network of goal-related cool nodes that enhances self-
control. It is clear, however, that the strategy to enhance self-control by activating the
required goal is not efficient for low-fat snack products (manuscript I). On the other
70
hand, this effect deserves further exploration in order to investigate how the
consumption increasing effect of health primes on the consumption of low-fat snacks
works. Is the product indeed perceived as healthier or as an appropriate compromise
for the self-control conflict at hand? Or is there another process possible that was not
yet covered?
One such alternative possibility is that subtle health references might make
people infer that they made substantial progress towards reaching their goal to be
healthy. In other words, the health references might lead consumers to believe that
they made substantial progress towards the goal to be healthy and in this way liberate
them from adhering to the achievement of the goal. Thereby, actions incongruent to
the pursued goal will be more likely undertaken (Fishbach and Dhar 2005). An action
incongruent to the goal of being healthy is increasing consumption, like we found in
manuscript I for the low-fat product. In line with this positioning, some preliminary
evidence suggests that the health primes indeed make people believe that they are
closer to their ideal weight. Additional studies are needed to uncover the process
responsible for the consumption increasing effect of health primes on the consumption
of low-fat snack products.
It has been shown that consumers do ration the purchase quantities of products
that threaten the attainability of long-term goals, in order to solve their self-control
problem (Wertenbroch 1998). This behavior is based on the belief that limiting the
stock of these products reduces the temptation to overconsume them. To reach that
objective, consumers are even prepared to forgo quantity price discounts. An
interesting avenue for future research is to investigate whether these effects also hold
for low-fat snack products. If consumers perceive low-fat products as a threat to their
long-term goals and accordingly restrain the purchase of these products, the effects
would be comparable. However, if consumers experience low-fat products as offering
less or no self-control threat, they could tend to stockpile these products at home.
Given that stockpiling makes people consume convenience products at a faster rate
(Chandon and Wansink 2002), this would imply that low-fat versions of unhealthy
snacks may be more readily stockpiled at home and in this way consumed at a faster
rate. In addition, the health association that is typical of these kinds of snack product
may even strengthen the consumption acceleration.
71
In light of the recent stimulation and promotion of low-fat products, it is
timely to explore the long run effects of the association of low-fat snack products to
health. If the consumption increasing effect found in manuscript I results in increased
absolute caloric intake, people might end up consuming more calories than when they
would consume traditional high fat food. This would imply that the promotion of low-
fat versions is far from efficient in reducing the total caloric intake.
Actionable Food Temptations and the Critical Level
As the findings of manuscript II suggest, there must be some critical level of
threat beyond which self-control is activated. When this level is not yet reached,
exposure to food temptations results in the activation of the goal to eat. Indeed,
recently Fishbach and Shah (2006) also found that the automatic response to food
stimuli is a tendency to approach these stimuli. However, at the same time, especially
for dieters, there is an automatic tendency to avoid these food stimuli. This suggests
that the self-control conflict caused by exposure to actionable food cues emerges by
the simultaneous approach and avoidance tendencies that they induce. Self-control is
successful when the original tendency to approach these stimuli is overridden by the
tendency to avoid the stimuli. Moreover, these food stimuli activate an approach
tendency to the overriding goal, replicating our findings of manuscript II and the
earlier findings of Fishbach et al. (2003). We stated, in manuscript II, that the original
tendency to approach the food stimuli is overridden when the threat of the food
temptation exceeds the critical level. In other words, the temptation should constitute
a significant threat to self-control. In this case, the activation of the eating goal is
overridden. This suggests some interesting ideas for future research. First, it might be
interesting to find out how and when the critical level is reached. How threatening
should the temptation be in order to trigger self-control strategies? Or is it necessary
to have two consecutive food temptations and thus two consecutive self-control
conflicts to achieve the effects found in manuscript II? In this view, it could also be
interesting to compare the effects of food temptations differing in salience, namely a
few candies versus a lot of candies. Such a study may reveal the required amount of
food that is required to exceed the critical level. We also showed (manuscript II) that
the exposure to actionable food temptations prevents consumers to increase
72
consumption when they are exposed to convenient food cues or an appetizing scent.
In the same vein, prior research showed that larger package size can increase
consumption (Wansink 1996), as can the increasing size of portion servings in
kitchens and in restaurants (Edelman et al. 1986; Rolls, Morris, and Roe 2002).
Indeed, portions and package sizes have grown larger over the past 30 years (Nielsen
and Popkin 2003; Young and Nestle 2002). Moreover, people rely on visual cues or
rules-of-thumb (such as eating until a bowl is empty) to determine the appropriate
amount to eat. As a result of this rule-of-thumb, the amount of food on a plate or in a
bowl implicitly suggests the “normal” or “appropriate” amount to consume (Fisher,
Rolls, and Birch 2003; Kahn and Wansink 2004). Consequently, we eat often more
without realizing it, thereby doing our part to promote the current obesity epidemic.
The consumption increasing effect of the portion sizes should not be underestimated,
as Wansink, Painter and North (2005) showed that people use their eyes to count
calories and not their stomachs. People consumed dramatically more from refilling
soup bowls than from normal bowls, implying that the amount of food on a plate or
bowl influences the consumption norm independent of people’s monitoring process
that keeps track of how much one is eating. These visual cue increase the amount
eventually consumed. When we combine these effects with those of manuscript II, it
seems interesting to explore whether a certain portion size can exceed the critical level
and in this way curb the consumed amount. In addition, it might be possible that the
self-control conflict caused by the threat of exposure to actionable food cues helps to
control food intake on a subsequent consumption occasion, even when big portions
are offered. Furthermore, it might be interesting to explore whether the self-control
enhancing effect of exposure to actionable food cues can attenuate the typical
preference of affect-laden (e.g., chocolate) over less affect-laden food (e.g., fruit) (cf.
Shiv and Fedorikhin 1999; 2002). In the light of manuscript II, we speculate that the
choice situation offering both healthy and unhealthy options may make the threat
more salient and hence make that the critical level is exceeded. Subsequently self-
control strategies would be triggered which may help consumers to choose the
healthier less affect-laden food option.
73
Success in Overriding the Self-control Conflict
Another opportunity for future research is to explore to what extent the effect
of the actionable temptation depends on the success of the food restriction. Some
research suggests that tasting a little bit of a food temptation could be a successful
inhibitor of the urge to eat for binge eaters (Jansen 1998). As a result, small
transgressions against the personal norm of rational food intake may push the
consumer across the critical level and in this way lead to the enhancement of food
intake control. However, the disinhibition effect suggests that small transgressions
may break down inhibition and hence food intake control. When people exceed the
caloric limit they set for themselves for any given day, people tend to stop restraining
their food intake for that specific day and overindulge because the day is already lost,
also called the what-the-hell-effect (Cochran and Tesser 1996; Polivy and Herman
1985). If consumers would succumb to the actionable food temptation, they might
overconsume the food offered at a later point in time because they already lost control
by consuming the food temptation. According to the theoretical framework of
manuscript II, we suggest that tasting a small amount of the actionable food
temptation does not lead to self-control loss in a subsequent consumption opportunity.
We assume that the consumption of a small amount of the food temptation should at
least be equally threatening than having the opportunity to consume the food. We
have some preliminary results that support this prediction. An interesting question for
future research pertains to the moderators of tasting the temptation. One possibility is
the amount consumed. In prior literature documenting the what-the-hell-effect,
participants had to consume large amounts of high-caloric foods, whereas in our
preliminary data, people typically tasted a small amount. Perhaps small amount are
very efficient in triggering self-control strategies, whereas large amounts may lead to
the interpretation that ‘this day is lost anyway’.
Related to this, another interesting line for future research pertains to the
moderating role of success at adapting to a particular response conflict. Whenever a
response is successful in a certain situation, reinforcement signals increase the
corresponding pattern of activity by strengthening connections between the prefrontal
cortex (PFC) neurons that are activated by that response. Because of this strengthened
pathway, task-relevant responses may eventually gradually become automatic. When
74
this happens, conflict and hence the need for control diminishes. Activation in the
Anterior Cingular Cortex (which detects conflicts and thus the need for control)
reduces, which is passed on to the PFC, triggering it to adjust the strength of its
influence on processing (Botvinick et al. 2001; Miller and Cohen 2001). Gradually,
the PFC becomes irrelevant in the control of a certain task (e.g., riding a bike, Norman
and Shallice 1986). This would imply that training in successfully resisting strongly
tempting food stimuli may be a very effective strategy to untangle the obesity
epidemic.
Low-fat Snack Products and the Critical Level
Another question for future research concerns the effects of initial exposure to
threatening food cues on the consumption of low-fat snack products (e.g., low-fat
chips). Is the additional threat of the low-fat snack product large enough to exceed the
critical level, or does this result in self-control loss and thus increased consumption of
the snack product? Moreover, the low-fat snack product might be perceived as less
threatening due to the previous threat of the unhealthy food. Indeed, previous research
(Huber and Puto 1983; Simonson 1989) shows that an alternative choice probability
tends to increase when it becomes a compromise in the choice set, also called the
compromise effect. In other words, if exposure to unhealthy food temptations makes
low-fat snack products to be perceived as a compromise between the craving for the
unhealthy food temptation and consumption of less appetitive healthy food in order to
pursue the long-term goal to stay in shape, it will receive total preference. Moreover,
if the taste of the regular and the low-fat snack products are perceived as almost
identical, the low-fat snack product might even become the dominant alternative, as
suggested by the attraction effect (Huber, Payne, and Puto 1982; Huber and Puto
1983; Ratneshwar, Shocker, and Stewart 1987). Furthermore, we know from
manuscript II that the eating goal is activated after the first exposure to threatening
food cues. What would happen when the subsequent food cues are healthy? On the
one hand, the activated eating goal should result in an increased consumption of the
healthy food because it is not threatening and can thus offer no additional activation to
exceed the critical level. On the other hand, it is possible that the initial exposure to
the unhealthy food cue activated desire for unhealthy food but not for relatively
75
healthier food. If this is the case, no increase in the consumption of the subsequently
offered healthy food is expected.
Similarity of Consecutive Food Temptations
This brings us to a final research opportunity that deserves further
investigation. Does the exposure to unhealthy food cues activate a general goal to eat
or is this craving limited to the food cue itself? In other words, what is the role of the
similarity between the food in the two phases and the effect of the two types of
temptations (actionable and non-actionable)? In manuscripts II and III, similarity
between the food of phase 1 and phase 2 was high but not perfect. However, the slight
difference between the temptation and the consumption domain testifies to the
relevance and strength of our effects. Indeed, exposure to a food temptation,
actionable or non-actionable, influences the consumed amount of any tempting
(unhealthy) food, even if it is dissimilar from the initial temptation, offered at a later
point in time. The fact that the effects were obtained for slightly differing domains
implies that our findings would in all probability also be obtained if the domains
would be identical. However, we are less certain when dissimilarity would be higher
(e.g., chocolate and cake; chocolate and pizza, or even chocolate and coke). We know
from previous research (Fedoroff et al. 2003; Lambert and Neal 1992) that exposure
to the appetizing scent of food, induces craving, liking, and consumption of the cued
food. However, if the offered food (i.e., pizza resp. cookies) differed more strongly
from the cued food (i.e., cookies resp. pizza), the effects were not found. These
findings imply that exposing consumers to a non-actionable pizza temptation would
lead them to consume more pizza-related food but not more pizza-unrelated food
because the initial non-actionable pizza temptation induces a desire to eat pizza. For
non-actionable temptations then, high similarity seems to be a requirement. However,
for actionable temptations prior literature is less clear about the role of similarity
between the food items in the two phases. Exposure to an actionable pizza temptation
might help consumers to control the consumption of pizza-related as well as pizza-
unrelated food because of the general initial activation of strategies to solve the self-
control conflict. This initial activation pushes consumers beyond the critical level of
threat by the second self-control conflict, even if this concerns a food cue unrelated to
the first food cue.
76
Limitations
We acknowledge that the research methods used in this dissertation limit the
generality of our conclusions. A first limitation concerns the short period of time of
the consumption opportunity, which forces us to be careful in drawing conclusions in
the long-run. The obtained results should serve as initial evidence that deserves
further exploration to investigate the effects in the long-run. Moreover, eating
behavior in a laboratory is not the same as real eating behavior. However, research
concerning the effects of environmental stimuli on food intake mostly uses these
kinds of methods and analyses (Roefs and Jansen 2004; Rotenberg et al. 2005). In
addition, we assume the consumption pattern in the control condition to reflect normal
eating and that the relevant information is in the difference between the control and
the experimental conditions.
Strictly, our results are also only generalizable to women and mainly students.
Generalization across gender, age, and socio-economic status remains a matter for
further research.
77
REFERENCES
Abelson, P., & Kennedy, D. (2004). The obesity epidemic. Science, 304, 1413.
Ainslie, G. (1992). Picoeconomics: The strategic interaction of successive
motivational states within the person. Cambridge, England: Cambridge
University Press.
Aitman, T. J. (2003). Genetic Medicine and Obesity. The New England Journal of
Medicine, 348(21), 2138-2140.
Allison, D. B., Fontaine, K. R., Manson, J. E., Stevens, J., & VanItallie, T. B. (1999).
Annual Deaths Attributable to Obesity in the United States. Journal of the
American Medical Association, 282, 1530-1538.
American Dietetic Association (1998). Position of the American dietetic association:
Fat replacers. Journal of the American Dietetic Association, 98, 463-468.
Bargh, J. A., & Chartrand, T. L. (1999). The unbearable automaticity of being.
American Psychologist, 54, 462-479.
Bargh, J. A., & Chartrand, T. L. (2000). The mind in the middle: A practical guide to
priming and automaticity research. In H. Reis & C. Judd (Eds.), Handbook of
research methods in social and personality psychology (pp. 253-285). New
York: Cambridge University Press.
Baumeister, R. F., & Heatherton, T. F. (1996). Self-regulation failure: An overview.
Psychological Inquiry, 7, 1-15.
Baumeister, R. F., Bratslavsky, E., Muraven, M., & Tice, D. M. (1998). Ego
depletion: Is the active self a limited resource? Journal of Personality and
Social Psychology, 74, 1252-1265.
Baumeister, R. F., Heatherton, T. F., & Tice, D. M. (1994). Losing control: How and
why people fail at self-regulation. San Diego, CA: Academic.
Bem, D. J. (1972). Self-perception. In L. Berkowitz (Ed.), Advances in Experimental
Social Psychology Vol. 6 (pp. 1-63). New York: Academic Press.
Bolton, L. E., Cohen, J. B., & Bloom, P. N. (2006). Does Marketing Products as
Remedies create “Get Out of Jail Free Cards”? Journal of Consumer
Research, 33.
Bossuyt, N. and H. Van Oyen (2002). Gezondheidsrapport: Levensstijl.
http://www.iph.fgov.be/epidemio/epinl/santenl/stylenl.pdf
78
Botvinick, M. M., Braver, T. S., Barch, D. M., Carter, C. S., & Cohen, J. D. (2001).
Conflict monitoring and cognitive control. Psychological Review, 108, 624-
652.
Bruyneel, S., Dewitte, S., Vohs, K.D., & Warlop, L. (2006). Repeated choosing
increases consumers’ susceptibility to affective product features. International
Journal of Research in Marketing, 23, 215-225.
Carter, C. S., Macdonald, A. M., Botvinick, M. M., Ross, L. L., Stenger, V. A., Noll,
D., & Cohen, J. D. (2000). Parsing executive processes: Strategic vs.
evaluative functions of the anterior cingulate cortex. Proceedings of the
National Academy of Sciences of the United States of America, 97(4), 1944-
1948.
Carter, C. S., Braver, T. S., Barch, D. M., Botvinick, M. M., Noll, D., & Cohen, J.
D. (1998). Anterior cingulate cortex, error detection, and the on-line
monitoring of performance. Science, 280, 747-749.
Carver, C.S., & Scheier, M.F. (1998). On the self-regulation of behavior. Cambridge,
England: Cambridge University Press.
Centers for Disease Control and Prevention (2004). Factors contributing to obesity.
http://www.cdc.gov/nccdphp/dnpa/obesity/contributing_factors.htm.
Chandon, P., & Wansink, B. (2002). When are stockpiled products consumed faster?
A convenience-salience framework of postpurchase consumption incidence
and quantity. Journal of Marketing Research, 39, 321-335.
Cochran, W., & Tesser, A. (1996). The “What the Hell” Effect: Some Effects of Goal
Proximity and Goal Framing on Performance. In L. L. Martin & A. Tesser
(Eds.), Striving and Feeling: Interactions among Goals, Affect, and Self-
Regulation (pp. 99-120). Mahwah, NJ: Erlbaum.
Critser, G. (2003). Fat Land: How Americans became the fattest People in the World.
New York: Mariner/Houghton Mifflin.
Cutler, D. M., Glaeser, E. L., & Shapiro, J. M. (2003). Why Have Americans Become
More Obese? Journal of Economic Perspectives, 17(3), 93-118.
Dietz, W. (1991). Factors Associated with Childhood Obesity. Nutrition, 7(4), 290-
291.
Edelman, B., Engell, D., Bronstein, P., & Hirsch, E. (1986). Environmental effects on
the intake of overweight and normal-weight men. Appetite, 7(1), 71-83.
79
Fazio, R. H. (1990). A practical guide to the use of response latencies in social
psychological research. In C. Hendrick & M. S. Clark (Eds.), Review of
personality and social psychology (Vol. 11, pp. 74-97). Newbury Park, CA:
Sage.
Fedoroff, I., Polivy J., & Herman P. C. (2003). The Specificity of Restrained versus
Unrestrained Eaters' Responses to Food Cues: General Desire to Eat, or
Craving for the Cued Food? Appetite, 41(1), 7-13.
Fishbach, A., & Dhar, R. (2005). Goals as Excuses or Guides: The Liberating Effect
of Perceived Goal Progress on Choice. Journal of Consumer Research, 32,
370-377.
Fishbach, A., & Shah, J. Y. (2006). Self-control in action: implicit dispositions toward
goals and away from temptations. Journal of Personality and Social
Psychology, 90(5), 820-832.
Fishbach, A., Friedman, R. S., & Kruglanski, A. W. (2003). Leading Us Not Unto
Temptation: Momentary Allurements Elicit Overriding Goal Activation.
Journal of Personality and Social Psychology, 84, 296-309.
Fisher, J.O., Rolls, B.J., & Birch, L.L. (2003). Children’s bite size and intake of an
entree are greater with large portions than with age-appropriate or self-selected
portions. American Journal of Clinical Nutrition, 77, 1164-1170.
Flegal, K. M., Carroll, M. D., Kuczmarski, R. J., & Johnson, C. L. (1998).
Overweight and Obesity in the United States: Prevalence and Trends, 1960–
1994. International Journal of Obesity, 22, 39–47.
Fullmer, S., Geiger, C. J., & Parent, M. C. R. (1991). Consumers’ knowledge,
understanding and attitudes toward health claims on food labels. Journal of the
American Dietetic Association, 91, 166-171.
Garretson, J. A., & Burton, S. (2000). Effects of Nutrition Facts Panel Values,
Nutrition Claims, and Health Claims on Consumer Attitudes, Perceptions of
Disease-Related Risks, and Trust. Journal of Public Policy and Marketing, 19,
213-227.
Gehring, W. J., & Fencsik, D. (2001). Functions of the Medial Frontal Cortex in the
Processing of Conflict and Errors. The Journal of Neuroscience, 21(23), 9430-
9437.
80
Gilbert, D. T., Pinel, E. C., Wilson, T. D., Blumberg, S. J., & Wheatley, T. P. (1998).
Immune Neglect: A Source of Durability Bias in Affective Forecasting.
Journal of Personality and Social Psychology, 75, 617–638.
Gilbert, D. T., Lieberman, M. D., Morewedge, C. K., & Wilson, T. D. (2004). The
Peculiar Longevity of Things Not So Bad. Psychological Science, 15(1), 14-
19.
Hausman, J., & Leibtag E. (2005). Consumer benefits from increased competition in
shopping outlets: measuring the effect of Wal-Mart. National Bureau of
Economic Research (working paper), www.nber.org/papers/w11809
Heatherton, T. F., Polivy, J., & Herman, C. P. (1990). Dietary restraint: Some current
findings and speculations. Psychology of Addictive Behaviors, 4, 100-106.
Herman, C. P., & Mack, D. (1975). Restrained and unrestrained eating. Journal of
Personality, 43, 647-660.
Hoch, S. J., & Loewenstein, G. F. (1991). Time-Inconsistent Preferences and
Consumer Self-Control. Journal of Consumer Research, 17 (4), 492–507.
Huber, J., & Puto, C. (1983). Market boundaries and product choice: Illustrating
attraction and substitution effects. Journal of Consumer Research, 9, 90-98.
Huber, J., Payne, J.W., & Puto, C. (1982). Adding asymmetrically dominated
alternatives: Violations of regularity and the similarity hypothesis. Journal of
Consumer Research, 10, 31-44.
Jansen, A. (1998). A learning model of binge eating: Cue reactivity and cue exposure.
Behavior Research and Therapy, 36, 257-272.
Kahn, B.E., & Wansink, B. (2004). The influence of assortment structure on
perceived variety and consumption quantities. Journal of Consumer Research,
30, 581–596.
Kerns, J.G., Cohen, J.D., MacDonald, A.W., Cho, R.Y., Stenger, V.A., & Carter, C.S.
(2004). Anterior Cingulate Conflict Monitoring and Adjustments in Control.
Science, 303, 1023-1026.
Kozup, J. C., Creyer, E. H., & Burton, S. (2003). Making Healthful Food Choices:
The Influence of Health Claims and Nutrition Information on Packaged Food
Products and Restaurant Menu Items. Journal of Marketing, 67, 19-34.
Lambert, K. G., & Neal, T. (1992). Food-Related Stimuli Increase Desire to Eat in
Hungry and Satiated Human Subjects. Current Psychology, 10(4), 297-304.
Ledoux, J. E. (1996). The Emotional Brain. New York: Simon & Schuster.
81
Loewenstein, G. F. (1996). Out of Control: Visceral Influences on Behavior.
Organizational Behavior and Human Decision Process, 65, 272-292.
Martijn, C., Tenbult, P., Merckelbach, H., Dreezens, E., & de Vries, N. K. (2003).
Getting a grip on ourselves: Challenging expectancies about loss of energy
after self-control. Social Cognition, 20, 441-460.
Mason, M. J., & Scammon, D. L. (2000). Health Claims and Disclaimers: Extended
Boundaries and Research Opportunities in Consumer Interpretation. Journal of
Public Policy and Marketing, 19, 144-150.
Metcalfe, J., & Mischel, W. (1999). A hot/cool-system analysis of delay of
gratification: Dynamics and willpower. Psychological Review, 106, 3-19.
Miller, E. K., & Cohen, J. D. (2001). An integrative theory of prefrontal cortex
function. Annual Review of Neuroscience, 24, 167-202.
Miller, N.E. (1951). Learnable drives and rewards. In S.S. Stevens (Ed.), Handbook of
experimental psychology (pp. 435-472). New York:Wiley.
Mischel, W. (1974). Processes in delay of gratification. In L. Berkowits (Ed.),
Advances in experimental social psychology (Vol. 7, pp. 249-292). San Diego,
CA: Academic Press.
Mitka, M. (2003). Economist Takes Aim at ‘Big Fat’ U.S. Lifestyle. Journal of the
American Medical Association, 289(1), 33-34.
Mitra, A., Hastak, M., Ford, G. T., & Ringold, D. J. (1999). Can the Educationally
Disadvantaged Interpret the FDA-Mandated Nutrition Facts Panel in the
Presence of an Implied Health Claim? Journal of Public Policy and
Marketing, 18, 106-117.
Morrin, M., & Ratneshwar, S. (2003). Does it Make Sense to Use Scents to Enhance
Brand Memory? Journal of Marketing Research, 40 (1), 10-26.
Muraven, M., & Slessareva, E. (2003). Mechanisms of Self-Control Failure:
Motivation and Limited Resources. Personality and Social Psychology
Bulletin, 29 (7), 894-906.
Muraven, M., & Baumeister, R. F. (2000). Self-regulation and depletion of limited
resources: Does self-control resemble a muscle? Psychological Bulletin, 126,
247- 259.
Muraven, M., Collins, R. L., & Nienhaus, K. (2002). Self-control and alcohol
restraint: An initial application of the self-control strength model. Psychology
of Addictive Behaviors, 16(2), 113-120.
82
Muraven, M., Tice, D. M., & Baumeister, R. F. (1998). Self-control as a limited
resource: Regulatory depletion patterns. Journal of Personality and Social
Psychology, 74, 774-789.
Must, A., Spadano, J., Coakley, E. H., Field, A. E., Colditz, G., Dietz, W. H. (1999).
The Disease Burden Associated With Overweight and Obesity. Journal of the
American Medical Association, 282, 1523-1529.
Nestle, M. (2002). Food Politics: How the Food Industry Influences Nutrition and
Health. Berkeley: University of California Press.
Nielsen, S. J., & Popkin, B. M. (2003). Patterns and Trends in Food Portion Sizes,
1977-1998. Journal of the American Medical Association, 289(4), 450-53.
Norman, D. A., & Shallice, T. (1986). Attention to action. Willed and automatic
control of behavior. In R. J. Davidson, G. E. Schwartz, & D. Shapiro (Eds.),
Consciousness and self-regulation, Volume 4 (pp. 1-18). New York: Plenum
Press.
Nutrition Labeling and Education Act (1990), Public Law 101-535, 104 Stat. 2355.
Oakes, M. E. (2004). Bad Foods: Changing Attitudes About What We Eat. New
Jersey: Transaction Publishers.
Ogden, J. (1995). Cognitive and motivational consequence of dieting. European
Eating Disorders Review, 24, 228-241.
Paeratakul, S., Ferdinand, D. P., Champagne, C. M., Ryan, D. I., & Bray, G. A.
(2003). Fast-Food Consumption among US Adults and Children: Dietary and
Nutrient Intake Profile. Journal of the American Dietetic Association, 103(10),
1332–38.
Painter, J. E., Wansink, B., & Hieggelke, J. (2002). How Visibility and Convenience
Influence Candy Consumption. Appetite, 38(3), 237-238.
Polivy, J., & Herman, C. P. (1983). Breaking the diet habit. New York: Basic Books.
Polivy, J., Herman, C. P., & McFarlane T. (1994). Effects of anxiety on eating: Does
palatability moderate distress-induced overeating in dieters? Journal of
Abnormal Psychology, 103(3), 505-510.
Polivy, J., & Herman, P. C. (1985). Dieting as a Problem in Behavioral Medicine. In
E. Katkin & S. Manuck (Eds.), Advances in Behavioral Medicine (pp. 1-37).
New York: SAI.
Rachlin, H. (1995). Self-control: Beyond commitment. Behavioral and Brain
Sciences, 18, 109-159.
83
Rachlin, H. (1996). Can we leave cognition to cognitive psychologists? Comment on
an article by G. Loewenstein. Organizational Behavior and Human Decision
Process, 65, 296-299.
Rachlin, H. (1997). Self and self-control. Annals of the New York Academy of
Sciences, 818, 85-97.
Ratneshwar, S., Shocker, A.D., & Stewart, D. W. (1987). Toward understanding the
attraction effect: The implications of product stimulus meaningfulness and
familiarity. Journal of Consumer Research, 13, 520-533.
Raynor, H. A., & Epstein, L. H. (2001). Dietary Variety, energy regulation, and
obesity. Psychological Bulletin, 127, 325-341.
Raynor, H. A., Polley, B. A., Wing, R. R., & Jeffery, R. F. (2004). Is Dietary Fat
Intake Related to Liking or Household Availability of High- and Low-Fat
Foods? Obesity Research, 12, 816-823.
Roe, B., Levy, A. S., & Derby, B. M. (1999). The Impact of Health Claims on
Consumer Search and Product Evaluation Outcomes: Results from FDA
Experimental Data. Journal of Public Policy and Marketing, 18, 89-105.
Roefs, A., & Jansen, A. (2004). The effect of information about fat content on food
consumption in overweight/obese and lean people. Appetite, 43, 319-322.
Rolls, B.J., Morris, E.L., & Roe, L.S. (2002). Portion size of food affects energy
intake in normal-weight and overweight men and women. American Journal
of Clinical Nutrition, 76, 1207-1213.
Rotenberg, K. J., Lancaster, C., Marsden, J., Pryce, S., Williams, J., & Lattimore, P.
(2005). Effects of priming thoughts about control on anxiety and food intake
as moderated by dietary restraint. Appetite, 44, 235-241.
Rozin, P., Fischler, C., Imada, S., Sarubin, A., & Wrzesniewski, A. (1999). Attitudes
to Food and the Role of Food in Life in the U.S.A., Japan, Flemish Belgium
and France: Possible Implications for the Diet-Health Debate. Appetite, 33,
163-180.
Schachter, S. (1971). Some extraordinary facts about obese humans and rats.
American Psychologist, 26, 129-144.
Schachter, S., Friedman, L. N., & Handler, J. (1974). Who eats with chopsticks? In S.
Schachter & J. Rodin (Eds.), Obese Humans and Rats (pp. 61–64). Potomac,
MD: Erlbaum.
84
Schmeichel, B. J., Vohs, K. D., & Baumeister, R. F. (2003). Intellectual performance
and ego depletion: Role of the self in logical reasoning and other information
processing. Journal of Personality and Social Psychology, 85, 33-46.
Shallice, T., & Burgess, P. (1993). Supervisory control of action and thought
selection. In A. Baddeley & L. Weiskrantz (Eds.), Attention: Selection,
awareness, and control (pp. 171-187). Oxford: Clarendon Press.
Shiv, B., & Fedorikhin, A. (1999). Heart and mind in conflict: The interplay of affect
and cognition in consumer decision making. Journal of Consumer Research,
26, 278-292.
Shiv, B., & Fedorikhin, A. (2002). Spontaneous versus Controlled Influences of
Stimulus-Based Affect on Choice Behavior. Organizational Behavior and
Human Decision Processes, 87(2), 342-370.
Shiv, B., Fedorikhin, A., & Nowlis, S.M. (2005). Interplay of the heart and the mind
in decision-making. In S. Ratneswhar & D. G. Mick (Eds.), Inside
Consumption. Consumer motives, goals and desires (pp. 166-184). Routledge;
UK.
Simonson, I. (1989). Choice based on reasons: The case of attraction and compromise
effects. Journal of Consumer Research, 16, 158-174.
Smith, T.G. (2002). Obesity and Nature’s Thumbprint: How Modern Waistlines Can
Inform Economic Theory. Working paper, http://www.econ.ucsb.edu/~tsmith
Snell, J., Gibbs, B. J., & Varey, C. (1995). Intuitive Hedonics: Consumer Beliefs
about the Dynamics of Liking. Journal of Consumer Psychology, 4, 33–60.
Stapel, D. A., & Koomen, W. (2001). Let's not forget the past when we go to the
future: On our knowledge of knowledge accessibility effects. In G. B.
Moskowitz (Ed.), Cognitive social psychology: The Princeton symposium on
the legacy and future of social cognition (pp. 229-246). Mahwah, NJ,
Lawrence Erlbaum.
Stroop, J. R. (1935). Studies of interference in serial verbal reactions. Journal of
Experimental Psychology, 18, 643-662.
Stunkard, A. J., Harris, J. R., Pedersen, N. L., & McClearn, G. E. (1991). The Body-
Mass Index of Twins Who Have Been Reared Apart. The New England
Journal of Medicine, 322(21), 1483–87.
85
Tardoff, M. G. (2002). Obesity by Choice: The Powerful Influence of Nutrient
Availability on Nutrient Intake. American Journal of Physiology, 51(5), 1536–
1539.
Tice, D. M., Bratslavsky, E., & Baumeister, R. F. (2001). Emotional distress
regulation takes precedence over impulse control: If you feel bad, do it!
Journal of Personality and Social Psychology, 80, 53-67.
Tzelgov, J., Henik, A., & Berger, J. (1992). Controlling Stroop effects by
manipulating expectations for color words. Memory and Cognition, 20, 727-
735.
Van Assema, P., Glanz, K., Brug, J., Kok, G. J. (1996). Effects of health claims on
eating habits of the Dutch population. European Journal of Public Health, 6,
281-287.
van Strien, T., Frijters, J. E. R., Bergers, G. P. A., & Defares, P. B. (1986). The Dutch
eating behaviour questionnaire (DEBQ) for assessment of restrained,
emotional and external eating behavior. International Journal of Eating
Disorders, 5, 747-755.
van Veen, V., & Carter, C. S. (2002). The Timing of Action-Monitoring Processes in
the Anterior Cingulate Cortex. Journal of Cognitive Neuroscience, 14(4), 593-
602.
Variyam, J. N. (2002). Patterns of Caloric Intake and Body Mass Index Among U.S.
Adults. Food Review, 25 (3), 16-20.
Vohs, K. D., & Heatherton, T. F. (2000). Self-regulatory failure: A resource-depletion
Approach. Psychological Science, 11(3), 249-254.
Vohs, K.D., & Baumeister, R.F. (2004). Ego-depletion, self-control, and choice. In J.
Greenberg, S. L. Koole, & T. Pyszczynski (Eds.), Handbook of experimental
Existential Psychology (pp. 398 - 410). New York: Guilford Press.
Vohs, K.D., Baumeister, R.F., & Ciarocco, N. (2005). Self-regulation and self-
presentation: Regulatory resource depletion impairs impression management
and effortful self-presentation depletes regulatory resources. Journal of
Personality and Social Psychology, 88, 632 - 657.
Wallace, H. M., & Baumeister R. F. (2002). The effects of success versus failure
feedback on further self-control. Self and Identity, 1, 35-41.
Wansink, B. (1996). Can package size accelerate usage volume? Journal of Marketing
60(3), 1-14.
86
Wansink, B., Painter, J. E., & North, J. (2005). Bottomless bowls: Why visual cues of
portion size may influence food intake. Obesity Research, 13, 93-100.
Wansink, B. (1994). Antecedents and Mediators of Eating Bouts. Family and
Consumer Sciences Research Journal, 23(2), 166-182.
Wansink, B. (2004). Environmental Factors That Increase the Food Intake and
Consumption Volume of Unknowing Consumers. Annual Review of Nutrition,
24, 455-479.
Ward, A., & Mann, T. (2000). Don't mind if I do: Disinhibited eating under cognitive
load. Journal of Personality and Social Psychology, 78(4), 753-763.
Webb, T. L., & Sheeran, P. (2003). Can implementation intentions help to overcome
ego-depletion? Journal of Experimental Social Psychology, 39(3), 279-286.
Wegner, D. M. (1994). White bears and other unwanted thoughts: Suppression,
obsession, and the psychology of mental control. New York, Guilford Press.
Wegner, D. M. (1994). Ironic Processes of Mental Control. Psychological Review,
101, 34-52.
Wertenbroch, K. (1998). Consumption self-control by rationing purchase quantities of
virtue and vice. Marketing Science, 17, 317-337.
Wheeler, S. C., & Petty, R. E. (2001). The effects of stereotype activation on
behavior: A review of possible mechanisms. Psychological Bulletin, 127(6),
797-826.
Williams, P. (2005). Consumer Understanding and Use of Health Claims for Foods.
Nutrition Reviews, 63 (7), 256-264.
Wing, R.R., & Jeffery, R.W. (2001). Food provision as a strategy to promote weight
loss. Obesity Research, 9, 271–75.
World Health Organization (1998). Obesity: preventing and managing the global
epidemic. Geneva, Switzerland: Author.
World Health Organization (2004).World Health Assembly: Global strategy on diet,
physical activity and health.
http://www.who.int/gb/ebwha/pdf_files/WHA57/A57_R17-en.pdf
Young L.R., & Nestle, M. (2002). The contribution of expanding portion sizes to the
US obesity epidemic. American Journal of Public Health, 92, 246-249.
Zajonc, R. B. (1980). Feeling and thinking: Preferences need no inferences. American
Psychologist, 35, 151-175.
87
DOCTORAL DISSERTATIONS FROM THE FACULTY
OF ECONOMICS AND APPLIED ECONOMICS
(FROM AUGUST 1, 1971)
1. GEPTS, Stefaan Stability and efficiency of resource allocation processes in discrete commodity spaces. Leuven, KUL, 1971. 86 pp.
2. PEETERS, Theo Determinanten van de internationale handel in fabrikaten. Leuven, Acco, 1971. 290 pp.
3. VAN LOOY, Wim Personeelsopleiding: een onderzoek naar investeringsaspekten van opleiding. Hasselt, Vereniging voor wetenschappelijk onderzoek in Limburg, 1971. VII, 238 pp.
4. THARAKAN, Mathew Indian exports to the European community: problems and prospects. Leuven, Faculty of economics and applied economics, 1972. X,343 pp.
5. HERROELEN, Willy Heuristische programmatie: methodologische benadering en praktische toepassing op complexe combinatorische problemen. Leuven, Aurelia scientifica, 1972. X, 367 pp.
6. VANDENBULCKE, Jacques De studie en de evaluatie van data-organisatiemethodes en data-zoekmethodes. Leuven, s.n., 1973. 3 V.
7. PENNYCUICK, Roy A. The economics of the ecological syndrome. Leuven, Acco, 1973. XII, 177 pp.
8. KAWATA, T. Bualum Formation du capital d'origine belge, dette publique et stratégie du développement au Zaire. Leuven, KUL, 1973. V, 342 pp.
9. DONCKELS, Rik Doelmatige oriëntering van de sectorale subsidiepolitiek in België: een theoretisch onderzoek met empirische toetsing. Leuven, K.U.Leuven, 1974. VII, 156 pp.
10. VERHELST, Maurice Contribution to the analysis of organizational information systems and their financial benefits. Leuven, K.U.Leuven, 1974. 2 V.
11. CLEMEUR, Hugo Enkele verzekeringstechnische vraagstukken in het licht van de nutstheorie. Leuven, Aurelia scientifica, 1974. 193 pp.
88
12. HEYVAERT, Edward De ontwikkeling van de moderne bank- en krediettechniek tijdens de zestiende en zeventiende eeuw in Europa en te Amsterdam in het bijzonder. Leuven, K.U.Leuven, 1975. 186 pp.
13. VERTONGHEN, Robert Investeringscriteria voor publieke investeringen: het uitwerken van een operationele theorie met een toepassing op de verkeersinfrastructuur. Leuven, Acco, 1975. 254 pp.
14. Niet toegekend.
15. VANOVERBEKE, Lieven Microeconomisch onderzoek van de sectoriële arbeidsmobiliteit. Leuven, Acco, 1975. 205 pp.
16. DAEMS, Herman The holding company: essays on financial intermediation, concentration and capital market imperfections in the Belgian economy. Leuven, K.U.Leuven, 1975. XII, 268 pp.
17. VAN ROMPUY, Eric Groot-Brittannië en de Europese monetaire integratie: een onderzoek naar de gevolgen van de Britse toetreding op de geplande Europese monetaire unie. Leuven, Acco, 1975. XIII, 222 pp.
18. MOESEN, Wim Het beheer van de staatsschuld en de termijnstructuur van de intrestvoeten met een toepassing voor België. Leuven, Vander, 1975. XVI, 250 pp.
19. LAMBRECHT, Marc Capacity constrained multi-facility dynamic lot-size problem. Leuven, KUL, 1976. 165 pp.
20. RAYMAECKERS, Erik De mens in de onderneming en de theorie van het producenten-gedrag: een bijdrage tot transdisciplinaire analyse. Leuven, Acco, 1976. XIII, 538 pp.
21. TEJANO, Albert Econometric and input-output models in development planning: the case of the Philippines. Leuven, KUL, 1976. XX, 297 pp.
22. MARTENS, Bernard Prijsbeleid en inflatie met een toepassing op België. Leuven, KUL, 1977. IV, 253 pp.
23. VERHEIRSTRAETEN, Albert Geld, krediet en intrest in de Belgische financiële sector. Leuven, Acco, 1977. XXII, 377 pp.
24. GHEYSSENS, Lieven International diversification through the government bond market: a risk-return analysis. Leuven, s.n., 1977. 188 pp.
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25. LEFEBVRE, Chris Boekhoudkundige verwerking en financiële verslaggeving van huurkooptransacties en verkopen op afbetaling bij ondernemingen die aan consumenten verkopen. Leuven, KUL, 1977. 228 pp.
26. KESENNE, Stefan Tijdsallocatie en vrijetijdsbesteding: een econometrisch onderzoek. Leuven, s.n., 1978. 163 pp.
27. VAN HERCK, Gustaaf Aspecten van optimaal bedrijfsbeleid volgens het marktwaardecriterium: een risico-rendementsanalyse. Leuven, KUL, 1978. IV, 163 pp.
28. VAN POECK, Andre World price trends and price and wage development in Belgium: an investigation into the relevance of the Scandinavian model of inflation for Belgium. Leuven, s.n., 1979. XIV, 260 pp.
29. VOS, Herman De industriële technologieverwerving in Brazilië: een analyse. Leuven, s.n., 1978. onregelmatig gepagineerd.
30. DOMBRECHT, Michel Financial markets, employment and prices in open economies. Leuven, KUL, 1979. 182 pp.
31. DE PRIL, Nelson Bijdrage tot de actuariële studie van het bonus-malussysteem. Brussel, OAB, 1979. 112 pp.
32. CARRIN, Guy Economic aspects of social security: a public economics approach. Leuven, KUL, 1979. onregelmatig gepagineerd
33. REGIDOR, Baldomero An empirical investigation of the distribution of stock-market prices and weak-form efficiency of the Brussels stock exchange. Leuven, KUL, 1979. 214 pp.
34. DE GROOT, Roger Ongelijkheden voor stop loss premies gebaseerd op E.T. systemen in het kader van de veralgemeende convexe analyse. Leuven, KUL, 1979. 155 pp.
35. CEYSSENS, Martin On the peak load problem in the presence of rationizing by waiting. Leuven, KUL, 1979. IX, 217 pp.
36. ABDUL RAZK ABDUL Mixed enterprise in Malaysia: the case study of joint venture between Malysian public corporations and foreign enterprises. Leuven, KUL, 1979. 324 pp.
37. DE BRUYNE, Guido Coordination of economic policy: a game-theoretic approach. Leuven, KUL, 1980. 106 pp.
90
38. KELLES, Gerard Demand, supply, price change and trading volume on financial markets of the matching-order type. = Vraag, aanbod, koersontwikkeling en omzet op financiële markten van het Europese type. Leuven, KUL, 1980. 222 pp.
39. VAN EECKHOUDT, Marc De invloed van de looptijd, de coupon en de verwachte inflatie op het opbrengstverloop van vastrentende financiële activa. Leuven, KUL, 1980. 294 pp.
40. SERCU, Piet Mean-variance asset pricing with deviations from purchasing power parity. Leuven, s.n., 1981. XIV, 273 pp.
41. DEQUAE, Marie-Gemma Inflatie, belastingsysteem en waarde van de onderneming. Leuven, KUL, 1981. 436 pp.
42. BRENNAN, John An empirical investigation of Belgian price regulation by prior notification: 1975 - 1979 - 1982. Leuven, KUL, 1982. XIII, 386 pp.
43. COLLA, Annie Een econometrische analyse van ziekenhuiszorgen. Leuven, KUL, 1982. 319 pp.
44. Niet toegekend.
45. SCHOKKAERT, Eric Modelling consumer preference formation. Leuven, KUL, 1982. VIII, 287 pp.
46. DEGADT, Jan Specificatie van een econometrisch model voor vervuilingsproblemen met proeven van toepassing op de waterverontreiniging in België. Leuven, s.n., 1982. 2 V.
47. LANJONG, Mohammad Nasir A study of market efficiency and risk-return relationships in the Malaysian capital market. s.l., s.n., 1983. XVI, 287 pp.
48. PROOST, Stef De allocatie van lokale publieke goederen in een economie met een centrale overheid en lokale overheden. Leuven, s.n., 1983. onregelmatig gepagineerd.
49. VAN HULLE, Cynthia ( /08/83) Shareholders' unanimity and optimal corporate decision making in imperfect capital markets. s.l., s.n., 1983. 147 pp. + appendix.
50. VAN WOUWE, Martine (2/12/83) Ordening van risico's met toepassing op de berekening van ultieme ruïnekansen. Leuven, s.n., 1983. 109 pp.
91
51. D'ALCANTARA, Gonzague (15/12/83) SERENA: a macroeconomic sectoral regional and national account econometric model for the Belgian economy. Leuven, KUL, 1983. 595 pp.
52. D'HAVE, Piet (24/02/84) De vraag naar geld in België. Leuven, KUL, 1984. XI, 318 pp.
53. MAES, Ivo (16/03/84) The contribution of J.R. Hicks to macro-economic and monetary theory. Leuven, KUL, 1984. V, 224 pp.
54. SUBIANTO, Bambang (13/09/84) A study of the effects of specific taxes and subsidies on a firms' R&D investment plan. s.l., s.n., 1984. V, 284 pp.
55. SLEUWAEGEN, Leo (26/10/84) Location and investment decisions by multinational enterprises in Belgium and Europe. Leuven, KUL, 1984. XII, 247 pp.
56. GEYSKENS, Erik (27/03/85) Produktietheorie en dualiteit. Leuven, s.n., 1985. VII, 392 pp.
57. COLE, Frank (26/06/85) Some algorithms for geometric programming. Leuven, KUL, 1985. 166 pp.
58. STANDAERT, Stan (26/09/86) A study in the economics of repressed consumption. Leuven, KUL, 1986. X, 380 pp.
59. DELBEKE, Jos (03/11/86) Trendperioden in de geldhoeveelheid van België 1877-1983: een theoretische en empirische analyse van de "Banking school" hypothese. Leuven, KUL, 1986. XII, 430 pp.
60. VANTHIENEN, Jan (08/12/86) Automatiseringsaspecten van de specificatie, constructie en manipulatie van beslissingstabellen. Leuven, s.n., 1986. XIV, 378 pp.
61. LUYTEN, Robert (30/04/87) A systems-based approach for multi-echelon production/inventory systems. s.l., s.n., 1987. 3V.
62. MERCKEN, Roger (27/04/87) De invloed van de data base benadering op de interne controle. Leuven, s.n., 1987. XIII, 346 pp.
63. VAN CAYSEELE, Patrick (20/05/87) Regulation and international innovative activities in the pharmaceutical industry. s.l., s.n., 1987. XI, 169 pp.
92
64. FRANCOIS, Pierre (21/09/87) De empirische relevantie van de independence from irrelevant alternatives. Assumptie indiscrete keuzemodellen. Leuven, s.n., 1987. IX, 379 pp.
65. DECOSTER, André (23/09/88) Family size, welfare and public policy. Leuven, KUL. Faculteit Economische en Toegepaste Economische Wetenschappen, 1988. XIII, 444 pp.
66. HEIJNEN, Bart (09/09/88) Risicowijziging onder invloed van vrijstellingen en herverzekeringen: een theoretische analyse van optimaliteit en premiebepaling. Leuven, KUL. Faculteit Economische en Toegepaste Economische Wetenschappen, 1988. onregelmatig gepagineerd.
67. GEEROMS, Hans (14/10/88) Belastingvermijding. Theoretische analyse van de determinanten van de belastingontduiking en de belastingontwijking met empirische verificaties. Leuven, s.n., 1988. XIII, 409, 5 pp.
68. PUT, Ferdi (19/12/88) Introducing dynamic and temporal aspects in a conceptual (database) schema. Leuven, KUL. Faculteit Economische en Toegepaste Economische Wetenschappen, 1988. XVIII, 415 pp.
69. VAN ROMPUY, Guido (13/01/89) A supply-side approach to tax reform programs. Theory and empirical evidence for Belgium. Leuven, KUL. Faculteit Economische en Toegepaste Economische Wetenschappen, 1989. XVI, 189, 6 pp.
70. PEETERS, Ludo (19/06/89) Een ruimtelijk evenwichtsmodel van de graanmarkten in de E.G.: empirische specificatie en beleidstoepassingen. Leuven, K.U.Leuven. Faculteit Economische en Toegepaste Economische Wetenschappen, 1989. XVI, 412 pp.
71. PACOLET, Jozef (10/11/89) Marktstructuur en operationele efficiëntie in de Belgische financiële sector. Leuven, K.U.Leuven. Faculteit Economische en Toegepaste Economische Wetenschappen, 1989. XXII, 547 pp.
72. VANDEBROEK, Martina (13/12/89) Optimalisatie van verzekeringscontracten en premieberekeningsprincipes. Leuven, K.U.Leuven. Faculteit Economische en Toegepaste Economische Wetenschappen, 1989. 95 pp.
73. WILLEKENS, Francois () Determinance of government growth in industrialized countries with applications to Belgium. Leuven, K.U.Leuven. Faculteit Economische en Toegepaste Economische Wetenschappen, 1990. VI, 332 pp.
74. VEUGELERS, Reinhilde (02/04/90) Scope decisions of multinational enterprises. Leuven, K.U.Leuven. Faculteit Economische en Toegepaste Economische Wetenschappen, 1990. V, 221 pp.
93
75. KESTELOOT, Katrien (18/06/90) Essays on performance diagnosis and tacit cooperation in international oligopolies. Leuven, K.U.Leuven. Faculteit Economische en Toegepaste Economische Wetenschappen, 1990. 227 pp.
76. WU, Changqi (23/10/90) Strategic aspects of oligopolistic vertical integration. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1990. VIII, 222 pp.
77. ZHANG, Zhaoyong (08/07/91) A disequilibrium model of China's foreign trade behaviour. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1991. XII, 256 pp.
78. DHAENE, Jan (25/11/91) Verdelingsfuncties, benaderingen en foutengrenzen van stochastische grootheden geassocieerd aan verzekeringspolissen en -portefeuilles. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1991. 146 pp.
79. BAUWELINCKX, Thierry (07/01/92) Hierarchical credibility techniques. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1992. 130 pp.
80. DEMEULEMEESTER, Erik (23/3/92) Optimal algorithms for various classes of multiple resource-constrained project scheduling problems. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1992. 180 pp.
81. STEENACKERS, Anna (1/10/92) Risk analysis with the classical actuarial risk model: theoretical extensions and applications to Reinsurance. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1992. 139 pp.
82. COCKX, Bart (24/09/92) The minimum income guarantee. Some views from a dynamic perspective. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1992. XVII, 401 pp.
83. MEYERMANS, Eric (06/11/92) Econometric allocation systems for the foreign exchange market: Specification, estimation and testing of transmission mechanisms under currency substitution. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1992. XVIII, 343 pp.
84. CHEN, Guoqing (04/12/92) Design of fuzzy relational databases based on fuzzy functional dependency. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1992. 176 pp.
94
85. CLAEYS, Christel (18/02/93) Vertical and horizontal category structures in consumer decision making: The nature of product hierarchies and the effect of brand typicality. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1993. 348 pp.
86. CHEN, Shaoxiang (25/03/93) The optimal monitoring policies for some stochastic and dynamic production processes. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1993. 170 pp.
87. OVERWEG, Dirk (23/04/93) Approximate parametric analysis and study of cost capacity management of computer configurations. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1993. 270 pp.
88. DEWACHTER, Hans (22/06/93) Nonlinearities in speculative prices: The existence and persistence of nonlinearity in foreign exchange rates. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1993. 151 pp.
89. LIN, Liangqi (05/07/93) Economic determinants of voluntary accounting choices for R & D expenditures in Belgium. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1993. 192 pp.
90. DHAENE, Geert (09/07/93) Encompassing: formulation, properties and testing. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1993. 117 pp.
91. LAGAE, Wim (20/09/93) Marktconforme verlichting van soevereine buitenlandse schuld door private crediteuren: een neo-institutionele analyse. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1993. 241 pp.
92. VAN DE GAER, Dirk (27/09/93) Equality of opportunity and investment in human capital. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1993. 172 pp.
93. SCHROYEN, Alfred (28/02/94) Essays on redistributive taxation when monitoring is costly. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1994. 203 pp. + V.
94. STEURS, Geert (15/07/94) Spillovers and cooperation in research and development. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1994. 266 pp.
95
95. BARAS, Johan (15/09/94) The small sample distribution of the Wald, Lagrange multiplier and likelihood ratio tests for homogeneity and symmetry in demand analysis: a Monte Carlo study. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1994. 169 pp.
96. GAEREMYNCK, Ann (08/09/94) The use of depreciation in accounting as a signalling device. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1994. 232 pp.
97. BETTENDORF, Leon (22/09/94) A dynamic applied general equilibrium model for a small open economy. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1994. 149 pp.
98. TEUNEN, Marleen (10/11/94) Evaluation of interest randomness in actuarial quantities. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1994. 214 pp.
99. VAN OOTEGEM, Luc (17/01/95) An economic theory of private donations. Leuven. K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1995. 236 pp.
100. DE SCHEPPER, Ann (20/03/95) Stochastic interest rates and the probabilistic behaviour of actuarial functions. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1995. 211 pp.
101. LAUWERS, Luc (13/06/95) Social choice with infinite populations. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1995. 79 pp.
102. WU, Guang (27/06/95) A systematic approach to object-oriented business modeling. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1995. 248 pp.
103. WU, Xueping (21/08/95) Term structures in the Belgian market: model estimation and pricing error analysis. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1995. 133 pp.
104. PEPERMANS, Guido (30/08/95) Four essays on retirement from the labor force. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1995. 128 pp.
105. ALGOED, Koen (11/09/95) Essays on insurance: a view from a dynamic perspective. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1995. 136 pp.
96
106. DEGRYSE, Hans (10/10/95) Essays on financial intermediation, product differentiation, and market structure. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1995. 218 pp.
107. MEIR, Jos (05/12/95) Het strategisch groepsconcept toegepast op de Belgische financiële sector. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1995. 257 pp.
108. WIJAYA, Miryam Lilian (08/01/96) Voluntary reciprocity as an informal social insurance mechanism: a game theoretic approach. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1996. 124 pp.
109. VANDAELE, Nico (12/02/96) The impact of lot sizing on queueing delays: multi product, multi machine models. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1996. 243 pp.
110. GIELENS, Geert (27/02/96) Some essays on discrete time target zones and their tails. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1996. 131 pp.
111. GUILLAUME, Dominique (20/03/96) Chaos, randomness and order in the foreign exchange markets. Essays on the modelling of the markets. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1996. 171 pp.
112. DEWIT, Gerda (03/06/96) Essays on export insurance subsidization. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1996. 186 pp.
113. VAN DEN ACKER, Carine (08/07/96) Belief-function theory and its application to the modeling of uncertainty in financial statement auditing. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1996. 147 pp.
114. IMAM, Mahmood Osman (31/07/96) Choice of IPO Flotation Methods in Belgium in an Asymmetric Information Framework and Pricing of IPO’s in the Long-Run. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1996. 221 pp.
115. NICAISE, Ides (06/09/96) Poverty and Human Capital. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1996. 209 pp.
97
116. EYCKMANS, Johan (18/09/97) On the Incentives of Nations to Join International Environmental Agreements. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1997. XV + 348 pp.
117. CRISOLOGO-MENDOZA, Lorelei (16/10/97) Essays on Decision Making in Rural Households: a study of three villages in the Cordillera Region of the Philippines. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1997. 256 pp.
118. DE REYCK, Bert (26/01/98) Scheduling Projects with Generalized Precedence Relations: Exact and Heuristic Procedures. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1998. XXIV + 337 pp.
119. VANDEMAELE Sigrid (30/04/98) Determinants of Issue Procedure Choice within the Context of the French IPO Market: Analysis within an Asymmetric Information Framework. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1998. 241 pp.
120. VERGAUWEN Filip (30/04/98) Firm Efficiency and Compensation Schemes for the Management of Innovative Activities and Knowledge Transfers. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1998. VIII + 175 pp.
121. LEEMANS Herlinde (29/05/98) The Two-Class Two-Server Queueing Model with Nonpreemptive Heterogeneous Priority Structures. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1998. 211 pp.
122. GEYSKENS Inge (4/09/98) Trust, Satisfaction, and Equity in Marketing Channel Relationships. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1998. 202 pp.
123. SWEENEY John (19/10/98) Why Hold a Job ? The Labour Market Choice of the Low-Skilled. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1998. 278 pp.
124. GOEDHUYS Micheline (17/03/99) Industrial Organisation in Developing Countries, Evidence from Côte d'Ivoire. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1999. 251 pp.
125. POELS Geert (16/04/99) On the Formal Aspects of the Measurement of Object-Oriented Software Specifications. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1999. 507 pp.
98
126. MAYERES Inge (25/05/99) The Control of Transport Externalities: A General Equilibrium Analysis. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1999. XIV + 294 pp.
127. LEMAHIEU Wilfried (5/07/99) Improved Navigation and Maintenance through an Object-Oriented Approach to Hypermedia Modelling. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1999. 284 pp.
128. VAN PUYENBROECK Tom (8/07/99) Informational Aspects of Fiscal Federalism. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1999. 192 pp.
129. VAN DEN POEL Dirk (5/08/99) Response Modeling for Database Marketing Using Binary Classification. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1999. 342 pp.
130. GIELENS Katrijn (27/08/99) International Entry Decisions in the Retailing Industry: Antecedents and Performance Consequences. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1999. 336 pp.
131. PEETERS Anneleen (16/12/99) Labour Turnover Costs, Employment and Temporary Work. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1999. 207 pp.
132. VANHOENACKER Jurgen (17/12/99) Formalizing a Knowledge Management Architecture Meta-Model for Integrated Business Process Management. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 1999. 252 pp.
133. NUNES Paulo (20/03/2000) Contingent Valuation of the Benefits of Natural Areas and its Warmglow Component. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 2000. XXI + 282 pp.
134. VAN DEN CRUYCE Bart (7/04/2000) Statistische discriminatie van allochtonen op jobmarkten met rigide lonen. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, 2000. XXIII + 441 pp.
135. REPKINE Alexandre (15/03/2000)
Industrial restructuring in countries of Central and Eastern Europe: Combining
branch-, firm- and product-level data for a better understanding of Enterprises'
behaviour during transition towards market economy.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2000. VI + 147 pp.
99
136. AKSOY, Yunus (21/06/2000)
Essays on international price rigidities and exchange rates.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2000. IX + 236 pp.
137. RIYANTO, Yohanes Eko (22/06/2000)
Essays on the internal and external delegation of authority in firms.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2000. VIII + 280 pp.
138. HUYGHEBAERT, Nancy (20/12/2000)
The Capital Structure of Business Start-ups.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2000. VIII + 332 pp.
139. FRANCKX Laurent (22/01/2001)
Ambient Inspections and Commitment in Environmental Enforcement.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2001 VIII + 286 pp.
140. VANDILLE Guy (16/02/2001)
Essays on the Impact of Income Redistribution on Trade.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2001 VIII + 176 pp.
141. MARQUERING Wessel (27/04/2001)
Modeling and Forecasting Stock Market Returns and Volatility.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2001. V + 267 pp.
142. FAGGIO Giulia (07/05/2001)
Labor Market Adjustment and Enterprise Behavior in Transition.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2001. 150 pp.
143. GOOS Peter (30/05/2001)
The Optimal Design of Blocked and Split-plot experiments.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2001.X + 224 pp.
144. LABRO Eva (01/06/2001)
Total Cost of Ownership Supplier Selection based on Activity Based Costing and
Mathematical Programming.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2001. 217 pp.
145. VANHOUCKE Mario (07/06/2001)
Exact Algorithms for various Types of Project Scheduling Problems. Nonregular
Objectives and time/cost Trade-offs. 316
100
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2001. 316 pp.
146. BILSEN Valentijn (28/08/2001)
Entrepreneurship and Private Sector Development in Central European
Transition Countries.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2001. XVI + 188 pp.
147. NIJS Vincent (10/08/2001)
Essays on the dynamic Category-level Impact of Price promotions.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2001.
148. CHERCHYE Laurens (24/09/2001)
Topics in Non-parametric Production and Efficiency Analysis.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2001. VII + 169 pp.
149. VAN DENDER Kurt (15/10/2001)
Aspects of Congestion Pricing for Urban Transport.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2001. VII + 203 pp.
150. CAPEAU Bart (26/10/2001)
In defence of the excess demand approach to poor peasants' economic behaviour.
Theory and Empirics of non-recursive agricultural household modelling.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2001. XIII + 286 blz.
151. CALTHROP Edward (09/11/2001)
Essays in urban transport economics.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2001.
152. VANDER BAUWHEDE Heidi (03/12/2001)
Earnings management in an Non-Anglo-Saxon environment.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2001. 408 pp.
153. DE BACKER Koenraad (22/01/2002)
Multinational firms and industry dynamics in host countries : the case of
Belgium.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2002. VII + 165 pp.
154. BOUWEN Jan (08/02/2002)
Transactive memory in operational workgroups. Concept elaboration and case
study.
101
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2002. 319 pp. + appendix 102 pp.
155. VAN DEN BRANDE Inge (13/03/2002)
The psychological contract between employer and employee : a survey among
Flemish employees.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2002. VIII + 470 pp.
156. VEESTRAETEN Dirk (19/04/2002)
Asset Price Dynamics under Announced Policy Switching.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2002. 176 pp.
157. PEETERS Marc (16/05/2002)
One Dimensional Cutting and Packing : New Problems and Algorithms.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2002.
158. SKUDELNY Frauke (21/05/2002)
Essays on The Economic Consequences of the European Monetary Union.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2002.
159. DE WEERDT Joachim (07/06/2002)
Social Networks, Transfers and Insurance in Developing countries.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2002. VI + 129 pp.
160. TACK Lieven (25/06/2002)
Optimal Run Orders in Design of Experiments.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2002. XXXI + 344 pp.
161. POELMANS Stephan (10/07/2002)
Making Workflow Systems work. An investigation into the Importance of Task-
appropriation fit, End-user Support and other Technological Characteristics.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2002. 237 pp.
162. JANS Raf (26/09/2002)
Capacitated Lot Sizing Problems : New Applications, Formulations and
Algorithms.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2002.
163. VIAENE Stijn (25/10/2002)
Learning to Detect Fraud from enriched Insurance Claims Data (Context, Theory
and Applications).
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2002. 315 pp.
102
164. AYALEW Tekabe (08/11/2002)
Inequality and Capital Investment in a Subsistence Economy.Leuven,
K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2002. V + 148 pp.
165. MUES Christophe (12/11/2002)
On the Use of Decision Tables and Diagrams in Knowledge Modeling and
Verification.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2002. 222 pp.
166. BROCK Ellen (13/03/2003)
The Impact of International Trade on European Labour Markets.
K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen,
2002.
167. VERMEULEN Frederic (29/11/2002)
Essays on the collective Approach to Household Labour Supply.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2002. XIV + 203 pp.
168. CLUDTS Stephan (11/12/2002)
Combining participation in decision-making with financial participation :
theoretical and empirical perspectives.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2002. XIV + 247 pp.
169. WARZYNSKI Frederic (09/01/2003)
The dynamic effect of competition on price cost margins and innovation.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen
2003.
170. VERWIMP Philip (14/01/2003)
Development and genocide in Rwanda ; a political economy analysis of peasants
and power under the Habyarimana regime.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2003.
171. BIGANO Andrea (25/02/2003)
Environmental regulation of the electricity sector in a European Market
Framework.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2003. XX + 310 pp.
172. MAES Konstantijn (24/03/2003)
Modeling the Term Structure of Interest Rates Across Countries.
103
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2003. V+246 pp.
173. VINAIMONT Tom (26/02/2003)
The performance of One- versus Two-Factor Models of the Term Structure of
Interest Rates.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2003.
174. OOGHE Erwin (15/04/2003)
Essays in multi-dimensional social choice.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2003. VIII+108 pp.
175. FORRIER Anneleen (25/04/2003)
Temporary employment, employability and training.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2003.
176. CARDINAELS Eddy (28/04/2003)
The role of cost system accuracy in managerial decision making.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2003. 144 pp.
177. DE GOEIJ Peter (02/07/2003)
Modeling Time-Varying Volatility and Interest Rates.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2003. VII+225 pp.
178. LEUS Roel (19/09/2003)
The generation of stable project plans. Complexity and exact algorithms.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2003.
179.MARINHEIRO Carlos (23/09/2003)
EMU and fiscal stabilisation policy : the case of small countries.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen
2003.
180. BAESSENS Bart (24/09/2003)
Developing intelligent systems for credit scoring using machine learning
techniques.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2003.
181. KOCZY Laszlo (18/09/2003)
Solution concepts and outsider behaviour in coalition formation games.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2003.
104
182. ALTOMONTE Carlo (25/09/2003)
Essays on Foreign Direct Investment in transition countries : learning from the
evidence.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2003.
183. DRIES Liesbeth (10/11/2003)
Transition, Globalisation and Sectoral Restructuring: Theory and Evidence from
the Polish Agri-Food Sector. Leuven, K.U.Leuven, Faculteit Economische en
Toegepaste Economische Wetenschappen, 2003.
184. DEVOOGHT Kurt (18/11/2003)
Essays On Responsibility-Sensitive Egalitarianism and the Measurement of
Income Inequality. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste
Economische Wetenschappen, 2003.
185. DELEERSNYDER Barbara (28/11/2003)
Marketing in Turbulent Times. Leuven, K.U.Leuven, Faculteit Economische en
Toegepaste Economische Wetenschappen, 2003.
186. ALI Daniel (19/12/2003)
Essays on Household Consumption and Production Decisions under Uncertainty
in Rural Ethiopia.”. Leuven, K.U.Leuven, Faculteit Economische en Toegepaste
Economische Wetenschappen, 2003.
187. WILLEMS Bert (14/01/2004)
Electricity networks and generation market power.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2004.
188. JANSSENS Gust (30/01/2004)
Advanced Modelling of Conditional Volatility and Correlation in Financial
Markets.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2004.
189. THOEN Vincent (19/01/2004)
"On the valuation and disclosure practices implemented by venture capital
providers"
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2004.
190. MARTENS Jurgen (16/02/2004)
“A fuzzy set and stochastic system theoretic technique to validate simulation
models”.Leuven, K.U.Leuven, Faculteit Economische en Toegepaste
Economische Wetenschappen, 2004.
191. ALTAVILLA Carlo (21/05/2004)
“Monetary policy implementation and transmission mechanisms in the Euro
area.”,
105
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2004.
192. DE BRUYNE Karolien (07/06/2004)
“Essays in the location of economic activity”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2004.
193. ADEM Jan (25/06/2004)
“Mathematical programming approaches for the supervised classification
problem.”,
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2004.
194. LEROUGE Davy (08/07/2004)
“Predicting Product Preferences : the effect of internal and external cues.”,
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2004.
195. VANDENBROECK Katleen (16/07/2004)
“Essays on output growth, social learning and land allocation in agriculture :
micro-evidence from Ethiopia and Tanzania”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2004.
196. GRIMALDI Maria (03/09/004)
“The exchange rate, heterogeneity of agents and bounded rationality”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2004.
197. SMEDTS Kristien (26/10/2004)
“Financial integration in EMU in the framework of the no-arbitrage theory”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2004.
198. KOEVOETS Wim (12/11/2004)
“Essays on Unions, Wages and Employment”
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2004.
199. CALLENS Marc (22/11/2004)
“Essays on multilevel logistic Regression”
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2004.
200. RUGGOO Arvind (13/12/2004)
“Two stage designs robust to model uncertainty”
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2004.
106
201. HOORELBEKE Dirk (28/01/2005)
”Bootstrap and Pivoting Techniques for Testing Multiple Hypotheses.”
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2005.
202. ROUSSEAU Sandra (17/02/2005)
“Selecting Environmental Policy Instruments in the Presence of Incomplete
Compiance”,
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2005.
203. VAN DER MEULEN Sofie (17/02/2005)
“Quality of Financial Statements : Impact of the external auditor and applied
accounting standards”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2005.
204. DIMOVA Ralitza (21/02/2005)
“Winners and Losers during Structural Reform and Crisis : the Bulgarian Labour
Market Perspective”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2005.
205. DARKIEWICZ Grzegorz (28/02/2005)
“Value-at-risk in Insurance and Finance : the Comonotonicity Approach”
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2005.
206. DE MOOR Lieven (20/05/2005)
“The Structure of International Stock Returns : Size, Country and Sector Effects
in Capital Asset Pricing”
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2005.
207. EVERAERT Greetje (27/06/2005)
“Soft Budget Constraints and Trade Policies : The Role of Institutional and
External Constraints”
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2005.
208. SIMON Steven (06/07/2005)
“The Modeling and Valuation of complex Derivatives : the Impact of the Choice
of the term structure model”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2005.
209. MOONEN Linda (23/09/2005)
“Algorithms for some graph-theoretical optimization problems”.
107
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2005.
210. COUCKE Kristien (21/09/2005)
“Firm and industry adjustment under de-industrialisation and globalization of the
Belgian economy”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2005.
211. DECAMPS MARC (21/10/2005)
“Some actuarial and financial applications of generalized diffusion processes”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2005.
212. KIM HELENA (29/11/2005)
“Escalation games: an instrument to analyze conflicts. The strategic approach to
the bargaining problem”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2005.
213. GERMENJI ETLEVA (06/01/2006)
“Essays on the economics of emigration from Albania”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2006.
214. BELIEN JEROEN (18/01/2006)
“Exact and heuristic methodologies for scheduling in hospitals: problems,
formulations and algorithms”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2006.
215. JOOSSENS KRISTEL (10/02/2006)
“Robust discriminant analysis”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2006.
216. VRANKEN LIESBET (13/02/2006)
“Land markets and production efficiency in transition economies”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2006.
217. VANSTEENKISTE ISABEL (22/02/2006)
“Essays on non-linear modelling in international macroeconomics”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2006.
218. WUYTS Gunther (31/03/2006)
“Essays on the liquidity of financial markets”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2006.
108
219. DE BLANDER Rembert (28/04/2006)
“Essays on endogeneity and parameter heterogeneity in cross-section and panel
data”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2006.
220. DE LOECKER Jan (12/05/2006)
“Industry dynamics and productivity”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2006.
221. LEMMENS Aurélie (12/05/2006)
“Advanced classification and time-series methods in marketing”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2006.
222. VERPOORTEN Marijke (22/05/2006)
“Conflict and survival: an analysis of shocks, coping strategies and economic
mobility in Rwanda, 1990-2002”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2006.
223. BOSMANS Kristof (26/05/2006)
“Measuring economic inequality and inequality aversion”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2006.
224. BRENKERS Randy (29/05/2006)
“Policy reform in a market with differentiated products: applications from the car
market”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2006.
225. BRUYNEEL Sabrina (02/06/2006)
“Self-econtrol depletion: Mechanisms and its effects on consumer behavior”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2006.
226. FAEMS Dries (09/06/2006)
“Collaboration for innovation: Processes of governance and learning”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2006.
227. BRIERS Barbara (28/06/2006)
“Countering the scrooge in each of us: on the marketing of cooperative
behavior”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2006.
109
228. ZANONI Patrizia (04/07/2006)
“Beyond demography: Essays on diversity in organizations”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2006.
229. VAN DEN ABBEELE Alexandra (11/09/2006)
“Management control of interfirm relations: the role of information”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2006.
230. DEWAELHEYNS Nico (18/09/2006)
“Essays on internal capital markets, bankruptcy and bankruptcy reform”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2006.
231. RINALDI Laura (19/09/2006)
“Essays on card payments and household debt”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2006.
232. DUTORDOIR Marie (22/09/2006)
“Determinants and stock price effects of Western European convertible debt
offerings: an empirical analysis”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2006.
233. LYKOGIANNI Elissavet (20/09/2006)
“Essays on strategic decisions of multinational enterprises: R&D
decentralization, technology transfers and modes of foreign entry”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2006.
234. ZOU Jianglei (03/10/2006)
“Inter-firm ties, plant networks, and multinational firms: essays on FDI and trade
by Japanse firms.”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2006.
235. GEYSKENS Kelly (12/10/2006)
“The ironic effects of food temptations on self-control performance”.
Leuven, K.U.Leuven, Faculteit Economische en Toegepaste Economische
Wetenschappen, 2006.