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Creating job satisfaction in Africa:A case study from Mozambique
Kurt Sartorius, Andres Merino de la Nuez &Teresa Carmichael
How to set up successful multicultural human resource management programmes remains a
contentious issue. This study examined variables that influenced job satisfaction in the workforce
of a multinational company operating in Mozambique. It took a mixed methods approach and
analysed case study data using a combination of content, thematic, descriptive and statistical
techniques. The results indicate that the level of job satisfaction of these employees was compar-
able to that of employees in former Soviet Bloc countries; however, it varied significantly across
levels of employee. The results also demonstrate that, to be more successful, ‘foreign’ management
practices should be adapted to the local culture and, further, that humanism in the African
workplace can positively mediate a traditional instrumentalist rewards system.
Keywords: job satisfaction; human resource management; Mozambique
1. Introduction
Multinational companies investing in Africa often inappropriately import and implement
foreign based instrumentalist type human resource management (HRM) programmes
that reflect a contract based view of an employee as merely a resource (Jackson,
2002). The management practices of these companies are often unquestioningly accepted
by local economies that may be desperate to secure foreign investment. Needless to say,
whether local employees are open or resistant to new business partnerships, they soon
start to question HRM practices that are alien to their culture, while the parent
company cannot understand why the indigenous workforce are not more grateful for
their newfound prosperity (Gomez-Mejia & Palich, 1997; Sousa-Poza & Sousa-Poza,
2000; Hofstede, 2001; Jackson, 2002; Pitcher, 2006; Carmichael & Rijamampianina,
2007; Horwitz, 2007). Rijamampianina & Carmichael have indicated that organisations
fail more often because of insufficient consideration of cultural and, by implication,
human factors than because of strategic breakdown: ‘To ignore the human factor with
all its associated elements is, in the longer term, sure to invite failure’ (2005:93).
The recent experiences of multinationals operating in Africa underline the need for a
better understanding of local cultures and values, particularly when it comes to develop-
ing HRM policies (Pitcher, 2006; Carmichael & Rijamampianina, 2007; Dimba &
K’obonyo, 2007). It has been observed that cultural values in particular need to be
respected if a workforce is to be content and productive (Ogbonna & Harris, 2002).
This HRM problem is underlined by the growing corporate militancy of workers
(Pitcher, 2006; Luiz, 2007), as well as a drop in productivity, poor motivation, increased
Respectively, Associate Professor, School of Accountancy, University of the Witwatersrand;Senior Lecturer, School of Accountancy, University of the Witwatersrand; and AssociateProfessor, Wits Business School, University of the Witwatersrand, South Africa. Correspondingauthor: [email protected]
Development Southern Africa Vol. 28, No. 2, June 2011
ISSN 0376-835X print/ISSN 1470-3637 online/11/020255-15 # 2011 Development Bank of Southern AfricaDOI: 10.1080/0376835X.2011.570072
levels of alienation, labour unrest and strikes (Human, 1996; Pitcher, 2006; Carmichael &
Rijamampianina, 2007; Dimba & K’obonyo, 2007; Horwitz, 2007).
In Mozambique, a central strategy of the Frelimo government after 1992 was to promote
foreign investment. One such investment was the Mozal project, an aluminium smelting
operation situated in Maputo, the capital city of Mozambique. The Mozal Company, the
focus of this paper, is owned by BHP Billiton (47%), the Mitsubishi Corporation (25%),
the Industrial Development Corporation of South Africa (24%) and the Mozambique
Government (4%). The company initiated operations in June 2000 and by 2001 was
employing 750 personnel. The newly employed workforce was young and had no experi-
ence of working in a high technology production environment. From the outset, the level
of job satisfaction was problematic. Workers complained that they were alienated by the
company’s HRM practices. The unrest culminated in an illegal 26-day strike in October
2001 and the company dismissed a number of workers. After protracted negotiations, the
company reinstated the majority of workers and implemented a series of HRM changes
(Granjo, 2003). Employment increased from 2001 and by 2007/08 the Company was
employing 1100 people across five different levels, including two categories of tech-
nician, administration staff, middle management and senior management.
The dynamics of job satisfaction are elusive because this phenomenon is influenced by
such a wide range of explanatory variables (Bender et al., 2005; Faragher et al., 2005;
D’Addioa et al., 2007). The formation of successful multicultural teams is also not a
natural phenomenon (Rijamampianina & Carmichael, 2005) and the advancement of
black employees in most African countries has been problematic (Human, 1996; Schnei-
der & Barsoux, 2003c). The study this paper is based on investigated some of the HRM
variables that influenced job satisfaction in the Mozal Company. Answers were sought to
three research questions. The researchers examined the level of job satisfaction in a
company setting, tested whether a range of intrinsic and traditional extrinsic HRM
rewards influenced job satisfaction, and attempted to discover whether humanist vari-
ables influence job satisfaction in an African context. The paper is organised as
follows: Section 2 describes the conceptual framework, Section 3 outlines the data
and method, Section 4 presents and discusses the results, and Section 5 concludes and
offers suggestions for future research.
2. A conceptual framework
The determinants of job satisfaction have been approached from a wide range of theor-
etical perspectives, including social psychology, neoclassical theory and management
sociology (Mulinge & Mueller, 1998; Sousa-Poza & Sousa-Poza, 2000; Levy-Garboua
& Montmarquette, 2004; Diaz-Serrano & Vieira, 2005; D’Addioa et al., 2007). Expla-
nations of ‘job satisfaction’ vary. It has been described as an exchange process, where
people enter into work relationships in anticipation of rewards in exchange for their
inputs (Kalleberg, 1977; Mulinge & Mueller, 1998; Van de Vliert & Janssen, 2002).
Sousa-Poza & Sousa-Poza (2000) see it as an input–output function, where satisfaction
results when the outputs (rewards) exceed the inputs (which might include education,
working hours, effort, the physical conditions and the level of danger in the workplace).
The rewards can be intrinsic or extrinsic. Intrinsic rewards include participation in
decision making, autonomy, the facility to communicate, task significance, career
growth and feedback on performance (Herzberg, 1966; Greenberg, 1980). Extrinsic
rewards are more tangible and immediate benefits such as pay, fringe benefits, job
256 K Sartorius et al.
security, working conditions and personal or group relationships (McGuire et al., 2005).
A sub-category of these is labelled ‘convenience extrinsic rewards’, which include living
a convenient distance from work, good working hours, pleasant working surroundings
and an absence of job overload, role ambiguity and conflict (Kalleberg, 1977; Greenberg,
1980; Price & Mueller, 1986).
Other variables influencing job satisfaction could include health (Faragher et al., 2005),
gender based variables (Bender et al., 2005; D’Addioa et al., 2007), education (Vila &
Garcıa-Mora, 2005), age and length of service (Eskildsen et al., 2004; Levy-Garboua
& Montmarquette, 2004). Other possible influences are the level of the employee in
the organisation (Huang & Van de Vliert, 2004), the absence of external opportunities,
family responsibilities and firm-specific training (Mueller & Price, 1990; Mulinge &
Mueller, 1998; Sousa-Poza & Sousa-Poza, 2000).
2.1 Cultural dimensions, humanism and job satisfaction
‘Culture’ can be variously defined. Schein describes it simply as ‘the deeper level of
basic assumptions and beliefs that are shared by members of an organisation’
(1985:6). Rijamampianina offers a fuller definition, stating that:
Culture is created, acquired and/or learned, developed and passed on by a
group of people, consciously or unconsciously, to subsequent generations.
It includes everything that a group thinks, says, does and makes – its
customs, ideas, mores, habits, traditions, language, and shared systems of
attitudes and feelings – that help to create standards for people to coexist.
(1996:124)
Clearly, one can anticipate that different cultures would prefer different kinds of HRM
(Hofstede, 2001). Considerable evidence points to a collectivist and feminine society
in Mozambique (Granjo, 2003; Webster & Wood, 2005; Webster et al., 2006) that is
likely to prefer more humanist management practices (Hofstede, 2001; Jackson, 2002;
Wooten & Crane, 2004). Collectivism is characteristic of ‘a society in which people
from birth onwards are integrated into strong, cohesive in-groups’ (Voronov & Singer,
2002:260) and is an important factor in the Mozambican workplace. A feminine
society is one in which ‘social gender roles overlap’, and this would also be extended
into the workplace, creating the expectation that employees will be ‘modest, tender
and concerned with the quality of life’ (Hofstede et al., 2009:297). In this type of cultural
context, multinationals need to soften their instrumentalist type HRM programmes to
accommodate the beliefs and feelings of Africans (Prinsloo, 2000; Inyang, 2009).
A traditional contract based view of employment should also be modified to incorporate
an African type of humanism (Broodryk, 2006) that places great emphasis on the fact that
employees are part of a collective. The implication of this is that the feelings and beliefs
of the collective have a major influence on the individual (Nussbaum, 2003). HRM pro-
grammes that soften their instrumentalist position see employees as human beings rather
than as resources and the firm adopts a father-figure role that is expected to be concerned
with the employees’ feelings and well-being. The firm is therefore expected to take care
of employees, help them and be forgiving where genuine mistakes are made. This father-
figure role is also expected to be extended to the welfare of employees’ families and com-
munities (Okpara & Wynn, 2008; Azolukwam & Perkins, 2009). A contract based view
of employees, therefore, must be modified to recognise the importance of interpersonal
relationships, personal dignity, and respect for others, particularly older (by implication,
Creating job satisfaction in Africa 257
wiser) people (Kamoche et al., 2004; Wooten & Crane, 2004; McGuire et al., 2005). Col-
lectively, these characteristics call attention to the need for humanism in the workplace
(Wooten & Crane, 2004; McGuire et al., 2005) and humanist HRM programmes will
develop work ideologies to link individuals to organisations by means of shared reason-
ing, norms and values (Wooten & Crane, 2004).
Note that in the context of this study the term ‘humanist’ means that management (the
firm) are concerned about their employees as human beings, consider their feelings,
and do not view them only in a work related context.
3. Data collection and methodology
The data collected during 2007 and 2008 were largely qualitative. A survey was com-
bined with a case study and the data were analysed using a range of descriptive,
regression and qualitative techniques. The reason for the case study methodology was
to take advantage of the principle of triangulation and gather information about and
examine a broad range of variables influencing job satisfaction. In view of the primarily
qualitative, exploratory nature of the study, the results should be interpreted from the per-
spective of potential usefulness to multinationals investing in Africa, rather than as
definitive or prescriptive (Jackson, 2002).
The questionnaire used for the survey was constructed on the basis of existing question-
naires that had been used by many other researchers to test for job satisfaction, the influ-
ence of rewards and the influence of humanist variables in the workplace (Mulinge &
Mueller, 1998; Sousa-Poza & Sousa-Poza, 2000; Hofstede, 2001; Schneider &
Barsoux, 2003a,b,c). The survey was facilitated and administered by the company man-
agement and the labour union during 2007. A random sample of 181 was collected after
the human resources department and the labour union had administered a survey across
five levels of employee. The sample size (n) of 181 out of 1100 (N) employees was split
across five levels (Level 1, 47.5%; Level 2, 20.4%; Level 3, 8.3%; Level 4, 17.7%; Level
5, 6%). The sample size at each level was proportional to the total number of employees
at that level.
To test the first research question, i.e. to measure the level of job satisfaction, the respon-
dents were asked a single question: ‘Considering everything, how satisfied are you with
your day-to-day job?’ The response to this question was measured on a six-point Likert
scale, ranging from ‘completely satisfied’ (1) to ‘completely dissatisfied’ (6). Four
measures of satisfaction were then aggregated to test the reliability of the single
measure of job satisfaction. Descriptive statistics, combined with qualitative analysis,
were used to analyse the data. The five levels of employees were then regressed
against the dependent variable, job satisfaction, to determine whether there was any
significant relationship between employee level and job satisfaction. A Kruskal–
Wallis test was used to highlight the difference between groups with respect to their
levels of job satisfaction across the five levels of employee.
To test the second research question, i.e. to discover whether a range of well-tested
intrinsic and extrinsic rewards influence job satisfaction in an African context, a
further 14 variables were examined. These were based on the Hofstede (2001) variables
used to test an employee’s perception of the ideal job in a survey involving 100 countries.
Each of the variables was measured on a five-point Likert scale. Descriptive statistics,
combined with some qualitative analysis, were used to analyse the data. To gain a
258 K Sartorius et al.
clearer understanding of how the variables affected different levels of employee, the
ranking of responses at employee level was also analysed.
To test the third research question, i.e. to discover whether humanist variables influence
job satisfaction in an African context, 16 humanist variables were then selected from the
job satisfaction literature of developing countries (Sousa-Poza & Sousa-Poza, 2000).
Each of the variables required a response on a five-point Likert scale. Variables used
to measure the level of corporate humanism were employee perception of tension,
fear, pride, inspiration, caring-concern, support, community welfare and recognition of
service rendered and employee age. To develop the dependent variable, namely the
level of job satisfaction, four measures of job satisfaction were aggregated in order to
develop a more comprehensive measurement of job satisfaction that included elements
of humanism. Ordered logistic regression (univariate and multivariate) using STATA
was then used to analyse the relationship between job satisfaction and each of the 16
predictor variables.
In line with the exploratory approach, a case study method was used to collect further
data from various stakeholders in the organisation. This method allowed the researchers
to investigate and interpret a wider range of variables that could influence job satisfaction
in a company context, and to access additional data, including company documents and
media reports, and review the history of the company from its formation (Leedy, 1993;
Yin, 1994; Leedy & Ormrod, 2001). The data were collected using semi-structured in-
depth interviews with two shop stewards, the paymaster, the HR manager, the HR super-
intendent, the industrial relations superintendent, the internal audit controller, a Level 4
manager, a Level 5 manager and the finance manager. Additional interviewees were a
lawyer, a consultant and the chairman of the labour union. The data collected from
the interviews were written up and subjected to thematic content analysis before being
reviewed by the company.
The study had a number of limitations. First, its exploratory nature means that it raises
more new questions to be investigated than it answers the ones it poses. Second, the
case-based results do not lend themselves to generalising any of the conclusions.
4. Results and discussion
This section describes the findings in answer to the three research questions: the level of
job satisfaction, the importance of intrinsic and traditional extrinsic HRM rewards, and
the influence of a series of humanist variables on job satisfaction.
4.1 The level of job satisfaction
Table 1 shows the level of job satisfaction in the Mozal Company as compared with the
results obtained from 21 countries by Sousa-Poza & Sousa-Poza (2000). Using the six-
point Likert scale described above, the results showed that, of all the countries in the
table, Mozal appeared to have the lowest score for the category of ‘completely satisfied’
and the second lowest score for ‘very satisfied’. Conversely, it had the fourth highest
score for ‘fairly satisfied’ and the second highest score for ‘neither satisfied nor dissatis-
fied’. This indicated that the worker’s level of job satisfaction in this company was most
comparable with that of a series of former Soviet Bloc countries (Eastern Europe) that
have also encouraged foreign based investment in recent decades (Sousa-Poza &
Sousa-Poza, 2000). An alternative measure of job satisfaction, that involved aggregating
Creating job satisfaction in Africa 259
the four measures of job satisfaction, appears to support the single measure used (see
figures in parentheses in Table 1).
Further analysis of the company job satisfaction data corroborates Huang & Van de
Vliert’s observation (2004) that job satisfaction can be influenced by the level of the
employee in the organisation. The results of the present study showed that as the
employee level increased from Level 1 (unionised factory workers) to Level 5 (manage-
ment) the level of job satisfaction increased. The results of an ordinal regression
indicated a highly significant relationship (less than 1%) between job satisfaction and
Table 1: Level of job satisfaction – descriptive statistics
Country
Completely
satisfied
(%)
Very
satisfied
(%)
Fairly
satisfied
(%)
Neither. . .
nor (%)
Fairly
dissatisfied
(%)
Very
dissatisfied
(%)
Mozal survey
(n = 181)
(Qs 69–72)∗
3.8
(4.9)
14.4
(16.9)
43.5
(39.4)
27.0
(26.9)
7.5
(8.0)
3.8
(3.7)
Anglo Saxon
United States 15.9 32.5 35.0 7.3 6.4 2.9
Great Britain 13.0 22.6 43.3 10.3 8.1 2.7
New Zealand 11.8 29.4 42.6 9.1 5.2 1.9
Western European
Denmark 24.7 36.9 26.3 7.7 3.6 0.8
France 11.4 22.3 42.2 14.1 7.7 2.3
Germany 7.9 28.6 43.3 14.5 4.3 1.4
Italy 15.5 19.9 43.4 13.1 5.0 3.1
The Netherlands 10.5 37.6 41.8 6.1 2.8 1.2
Norway 10.1 26.6 45.4 12.3 4.6 1.0
Portugal 17.7 21.2 32.5 21.8 3.7 3.1
Spain 13.8 36.0 33.7 11.3 3.7 1.5
Sweden 9.9 30.4 42.1 11.7 4.2 1.7
Switzerland 11.7 40.3 37.1 7.2 2.4 1.3
Eastern European
Hungary 9.1 14.1 39.0 29.6 5.0 3.2
Czech Republic 15.4 13.0 50.5 14.3 4.7 2.1
Slovenia 11.6 15.4 39.7 26.2 5.2 1.9
Bulgaria 10.7 18.4 49.3 13.0 4.8 3.8
Russia 13.2 26.7 19.2 25.5 8.0 7.4
Others
Japan 5.5 24.7 41.6 13.4 9.7 5.1
Israel 27.6 20.8 32.8 10.9 4.9 3.0
Cyprus 21.6 38.2 27.4 10.3 2.0 0.5
Total 13.6 26.5 38.6 13.8 5.1 2.8
∗These were the question numbers on the questionnaire for the values in parentheses. The level of job
satisfaction was also tested by aggregating four different measures to provide a broader alternative.
Source: International figures from Sousa-Poza & Sousa-Poza (2000).
260 K Sartorius et al.
employee level. A Kruskal–Wallis test further confirmed that there was a significant
difference in job satisfaction across the five levels of employee. The chi-square score
was 15.629 (4 degrees of freedom) and the probability that there was no difference
between the levels of satisfaction across the five levels was 0.0036, which is less than
1%. The differential level of satisfaction, further illustrated in Figure 1, clearly demon-
strated that Level 5 employees (management) had significantly higher levels of job sat-
isfaction than the other four levels. (Four measures of job satisfaction were aggregated,
hence a score of 5 indicates a very high level of job satisfaction and 30 a very low one.)
The interviews provided some further insights. In 2007, a manager (Samuel) said the
lowest level of satisfaction was demonstrated by Level 1 and Level 2 employers (who
were the principal backers of the 2001 strike). This statement was supported by a
Level 2 maintenance technician (Gafar) who said that ‘the gap between Level 1 and
Level 2 and management is too big, but Level 4 and 5 are now also feeling their situation
is compromised because they are not unionised and the salary gap between us is getting
smaller’.
4.2 The influence of rewards on job satisfaction
Hofstede’s 14 intrinsic and extrinsic rewards (2001) were all ranked as important deter-
minants of job satisfaction (see Table 2). Although ‘challenging work’ has been rated as a
top retention and motivation strategy in some high technology industries (Horwitz et al.,
2003), it was somewhat surprising to see that the respondents in this study rated this
reward, and also ‘good training opportunities’, more highly than ‘opportunity for high
earnings’ and ‘good fringe benefits’, given the central role of these latter two rewards
as a precursor to the strike of 2001. The importance of job quality, however, is widely
cited in the literature (Herzberg, 1966; Kalleberg, 1977; Mulinge & Mueller, 1998;
Pfeffer, 1998; Sousa-Poza & Sousa-Poza, 2000; Hofstede, 2001; Van de Vliert &
Janssen, 2002). The respondents ranked ‘level of cooperation with others’, a social
extrinsic reward, in second place, which underlines the importance of in-group relation-
ships in a collective workforce (Hofstede, 1994).
Figure 1: Job satisfaction and employee level
Creating job satisfaction in Africa 261
‘Job security’ was also highly ranked. In the context of limited alternative employment
opportunities, as well as the responsibility for an extended family, job security is a crucial
household variable in Mozambique (Granjo, 2003; Davis, 2008). Another important
finding was the low ranking of ‘good working relationship with manager’ – the negative
impact of a poor relationship with management is a major source of grievances. A col-
lective workforce, in particular, expects a manager to be ‘one of them’, and to use intui-
tion and be able to understand their feelings (Hofstede, 2001). Lower ranked rewards
indicated the descending importance of self-development (‘training opportunities’),
good physical working conditions, earnings and leisure time. Finally, the respondents
ranked recognition, fringe benefits and a degree of autonomy in the workplace, as
their lowest ranked (but still important) rewards.
Job titles were cited as being of the utmost importance by nearly every one of the inter-
viewees, in support of the findings of Granjo (2003).[0] Job titles were particularly
important for maintenance personnel, who did not like to be called ‘maintainers’ but
rather ‘maintenance technicians’.
To refine the analysis of the responses, the variables influencing the ideal job were ana-
lysed across the five levels of respondent. The results in Table 3 show that the five levels
of employees ranked some of the variables very differently. However, every category of
employee except Level 2 (maintainers) ranked ‘good training opportunities’ as one of the
top six rewards. Level 2 employees felt that the training they had received should have
resulted in the same pay as expatriates. They were also unhappy that they were called
‘maintainers’ and not ‘maintenance technicians’ (Gafar, maintainer; Dumi, HR
manager; Mark, HR superintendent; Tomas, industrial relations superintendent).
Table 2: Rewards influencing the perception of the ideal job – descriptive statistics
(n = 181)
–Binomial exact – Means and
ranking
Reward∗ Obs. Median
[95% confidence
interval] Mean Rank
Challenging work 170 2 1 2 1.77 1
Level of cooperation with others 176 2 1 2 1.81 2
Good training opportunities 177 2 1 2 1.86 3
Job security 176 2 1 2 1.93 4
Good working relationship with manager 177 2 1 2 1.94 5
Fully use skills 172 2 2 2 1.95 6
Live in desirable area 177 2 1 2 1.95 7
Good physical working conditions 179 2 1 2 1.96 8
Opportunity for high earnings 171 2 1 2 1.96 9
Sufficient leisure time 176 2 2 2 1.98 10
Opportunity for advancement 172 2 2 2 2.01 11
Recognition for good work 177 2 2 2 2.03 12
Good fringe benefits 175 2 2 2 2.07 13
Freedom to adopt own approach 175 2 2 2 2.07 14
∗Rewards based on Hofstede (2001).
262 K Sartorius et al.
The importance of physical conditions was especially highly ranked by Level 1 operators.
They felt that the working conditions were exhausting because they had had no similar
experience in their working life, and some felt that they were dangerous (Brief &
Weiss, 2002; Granjo, 2003). JJ Muhai (an internal audit controller) said his family
members could not understand why he was exhausted at the end of a day’s work, and
Mulayo (the paymaster) said that many workers felt there was danger because they remem-
bered how dangerous it had been when their families worked in South African mines.
Although the survey ranked many of the rewards higher than earnings and fringe benefits,
the case study interviews contradicted these findings. Four interviewees offered the
opinion that a prime reason for the strike of 2001 was that Levels 1 and 2 thought
they were underpaid relative to the training they received, and these four also said that
Mozambican employees should be paid the same as their expatriate colleagues
(Samuel, manager; Dumi, HR manager; Mark, HR superintendent; Tomas, industrial
relations superintendent). Two interviewees pointed out that even management was
now complaining that the salary gap between them and the workers was being unfairly
reduced because they were not unionised (Elias, chairman of labour union; Gafar, main-
tainer), and three observed that fringe benefits such as food allowance, provident fund,
study assistance and particularly medical aid and programmes for HIV/AIDS were
very important (Elias, chairman of labour union; Gafar, maintainer; JJ Muhai, internal
audit controller).
4.3 How do humanist variables influence job satisfaction?
To test the third research question the humanist variables listed in Table 4 were indivi-
dually regressed on job satisfaction. The results highlighted some interesting features of
the workplace. Quite surprisingly, the level of tension in the job situation (TENSE) and
the management style of the immediate superior (MANAGER) did not appear to influ-
ence job satisfaction significantly, which contradicts the findings of Hofstede (2001).
Another finding that contradicts Hofstede’s is that job satisfaction was negatively
Table 3: Ranking of ideal job variables – descriptive statistics (n = 181)
Level 1 Level 2 Level 3 Level 4 Level 5
Challenging work 2 6 2 1 1
Level of cooperation with others 1 5 1 4 5
Good training opportunities 5 11 4 5 6
Job security 4 7 11 2 13
Good working relationship with manager 6 8 6 8 7
Fully use skills 13 13 3 6 4
Live in desirable area 8 2 9 9 11
Good physical working conditions 3 12 13 3 8
Opportunity for high earnings 10 1 8 13 2
Sufficient leisure time 9 4 7 12 14
Opportunity for advancement 12 10 5 7 9
Recognition for good work 7 14 10 10 10
Good fringe benefits 14 3 12 14 3
Freedom to adopt own approach 11 9 14 11 12
Creating job satisfaction in Africa 263
influenced because workers were afraid to disagree with their managers (AFRAID p ,
10%), and that it was important to have a good relationship with the manager. However,
Mulinge & Mueller (1998) suggest that in some collectivist countries the ability to com-
municate and be heard by management is more important than the management style,
and Granjo (2003) suggests that workers in Mozambique may accept autocracy and
power inequality in the workplace as a fact of life. Questioning the judgement of a
superior could be taken as offensive and lead to conflict, which would disrupt the
harmony of the workplace (Nussbaum, 2003; Kamoche et al., 2004; Broodryk, 2006).
Other variables that had a significant positive influence on job satisfaction were the
respondents’ level of pride in the company (PRIDE), being inspired by the company
(INSPIRESME), their feeling that the company’s values were similar to theirs
(VALUES) and the perception that Mozal cared for their well-being (MOZCARES 1).
Finally, additional factors positively influencing job satisfaction were the perceptions
that the company cared about their opinions (MOZCARES 2), helped them as employees
(HELPSME), and had invested in their local communities (COMMUNITY). Finally, the
age of employees (AGE) was significantly negatively correlated with job satisfaction.
The significant variables, identified in the univariate analysis, were then used as the basis
for constructing a multivariate model (see Table 5). In the multivariate results only two
variables emerged as significant. This further analysis showed that job satisfaction was sig-
nificantly positively influenced as a result of workers being inspired (INSPIRESME) by the
company (p , 10%). There also appeared to be a highly significant negative relationship
between the age (AGE) of employees and job satisfaction (p , 5%). This confirms find-
ings from other collectivist African countries where age is negatively correlated with job
satisfaction (Eskildsen et al., 2004) and older employees often feel their status in the
company is not properly recognised (Nussbaum, 2003; Kamoche et al., 2004).
Table 4: Humanist variables influencing job satisfaction – ordered logistic
regression (univariate)
Predictor Odds ratio Std err. Z p > z
[95% confidence
interval] Significance
TENSE –0.2215232 0.2117084 –1.05 0.295 –0.636464 0.1934176
INTENTION –0.5180336 0.1972114 –2.63 0.009 –0.9045609 –0.1315064 ∗
AFRAID –0.3162494 0.1709976 –1.85 0.064 –0.6513985 0.0188996 ∗∗
MANAGER 0.0651599 0.1485009 0.44 0.661 –0.2258965 0.3562164
EFFORT 0.2517099 0.1717664 1.47 0.143 –0.084946 0.5883658
PRIDE 0.8230633 0.1684091 4.89 0.000 0.4929876 1.153139 ∗
INSPIRESME 0.9702437 0.2164708 4.48 0.000 0.5459688 1.394519 ∗
VALUES 0.4892577 0.1712613 2.86 0.004 0.1535918 0.8249237 ∗
MOZCARES 1 0.6527916 0.1623787 4.02 0.000 0.3345352 0.971048 ∗
MOZCARES 2 0.9860946 0.1960673 5.03 0.000 0.6018097 1.37038 ∗
HELPSME 0.6866854 0.1619803 4.24 0.000 0.3692099 1.004161 ∗
FORGIVESME 0.4633704 0.1491115 3.11 0.002 0.1711172 0.7556236 ∗
COMMUNITY 0.4027492 0.1769409 2.28 0.023 0.0559514 0.7495471 ∗
ENVIRONMENT 0.1240686 0.170295 0.73 0.466 –0.2097035 0.4578408
SERVICE –0.3230725 0.1890899 –1.71 0.088 –0.6936818 0.0475368 ∗∗
AGE –0.4894568 0.1713452 –2.86 0.004 –0.8252872 –0.1536265 ∗
∗Significant at the 5% level. ∗∗Significant at the 10% level.
264 K Sartorius et al.
The interviews, conducted during 2007, revealed some additional humanist variables that
were strongly responsible for lower levels of job satisfaction before the strike of 2001.
Nine interviewees expressed the opinion that management were ‘not human’ before the
strike in 2001, but were ‘aggressive’, ‘military’ and ‘racist’, would only talk but not
listen, and workers were scared (Daniel, lawyer; JJ Muhai, internal audit controller;
Gafar, maintainer; Riaan, finance manager; Enrique, superintendent; Dumi, HR
manager; Mark, HR superintendent; Tomas, industrial relations superintendent; Lino,
paymaster). Seven said that the Company was now communicating with its staff,
sharing its concerns with them, using the public and internal communications to cover
news such as family births and deaths, and on the whole seeing workers ‘more as
humans’ (Samuel, manager; Dumi, HR manager; Mark, HR superintendent; Tomas,
industrial relations superintendent; JJ Muhai, internal audit controller; Gafar, maintainer;
Lino, paymaster). And, finally, one said that despite these changes many workers still felt
the workplace was over-regimented and over-structured (Daniel, lawyer).
The results demonstrate the strength of the employees’ feelings about the importance of
humanism in the workplace (Kamoche et al., 2004). When job satisfaction was measured
using four aggregated measures, one of the questions asked was ‘whether their families
were satisfied with Mozal as an employer’. Interestingly, the respondents’ level of job
satisfaction was identical to their families’ perceptions of the company, indicating
the importance of the role of family in a developing collectivist country (Mulinge
& Mueller, 1998; Granjo, 2003; Carmichael & Rijamampianina, 2007; Dimba &
K’obonyo, 2007; Horwitz, 2007).
5. Conclusion and recommendations
The paper has illustrated some of the difficulties that confront multinationals when they
implement HRM programmes in a developing African country. The lesson that has been
Table 5: Humanist variables influencing job satisfaction – ordered logistic
regression (multivariate)
Predictor Coefficient Std err. z p > z
[95% confidence
interval] Significance
INTENTION –0.3638956 0.2293895 –1.59 0.113 –0.8134908 0.0856997
AFRAID –0.0585321 0.2039804 –0.29 0.774 –0.4583264 0.3412622
PRIDE 0.2212715 0.2530603 0.87 0.382 –0.2747177 0.7172606
INSPIRESME 0.6006747 0.3112362 1.93 0.054 –0.0093371 1.210687 ∗∗
VALUES –0.170849 0.2458507 –0.69 0.487 –0.6527076 0.3110096
MOZCARES 1 0.0602553 0.2507922 0.24 0.810 –0.4312884 0.551799
MOZCARES 2 0.3676478 0.3316529 1.11 0.268 –0.2823799 1.017676
HELPSME 0.2366562 0.2257508 1.05 0.294 –0.2058073 0.6791197
FORGIVESME 0.1396051 0.2023747 0.69 0.490 –0.2570421 0.5362522
COMMUNITY –0.1456978 0.2643735 –0.55 0.582 –0.6638604 0.3724648
SERVICE –0.2978317 0.2315025 –1.29 0.198 –0.7515683 0.155905
AGE –0.4774027 0.2185087 –2.18 0.029 –0.9056718 –0.0491335 ∗
∗Significant at the 5% level. ∗∗Significant at the 10% level.
Notes: Ordered logistic regression. Number of obs = 108; LR chi2 (12) = 51.49; Prob . chi2 = 0.0000;
Log likelihood = –80.672879; Pseudo R2= 0.2419.
Creating job satisfaction in Africa 265
learned is that local employees are at least as motivated by traditional extrinsic rewards
as their developed country counterparts – both our study and the literature support this
observation They want, however, to earn these rewards in a more humanist environment,
where caring about people is visibly demonstrated. Furthermore, they are less concerned
about rules than about the way the rules are administered. The case study interviews also
revealed that none of the technical standards and production procedures (for the pro-
duction of aluminium) had been changed – they could not be or the product would
not be of the necessary quality and the production environment would be too dangerous.
The level of job satisfaction showed that there were some similarities with former Soviet
Bloc countries that have also experienced foreign based HRM programmes that were
superimposed on their predominantly collectivist local workforces. The complex
nature of job satisfaction was also underlined by significant differences across employee
levels. A combination of these insights suggests that company HRM programmes need to
be targeted to specific levels in an organisation, and to accommodate the requirements of
the local culture.
The results support the contention that the traditional extrinsic and intrinsic rewards that
form the basis of instrumentalist HRM are equally important motivators of job satisfac-
tion in an African context. The Mozal Company, the focus of this study, responded to the
challenge of the strike in 2001 by completely re-investigating their employment package.
The findings showed that to achieve job satisfaction in its workforce it was important for
the company not only to modify the rewards but also to adopt a more humanist manage-
ment style. The approach taken by South African Breweries (SAB) when they partnered
with a local brewery in China as part of their internationalisation strategy is an example
of the extent to which organisational success rests on implementing locally adapted strat-
egies – and a way of doing it successfully (Vermeulen, 2001). The key element of the
SAB success lay in the fact that they absorbed and identified key cultural elements
and ways of going about business before implementing HRM and other practices. Huma-
nist variables, therefore, appeared to mediate the effectiveness of traditional rewards, as
well as to support a central tenet of African tradition, namely the concept of ubuntu or
‘humanness’, which stresses that a ‘person is a person through other people’. The
improvement in job satisfaction after the 2001 strike, therefore, was due as much to
the change in management’s attitude to and communication with the employees as to
the revised compensation package. A major lesson that was learned was that manage-
ment was required to understand the culture and feelings of their workers better, in
much the way that Vermeulen (2001) describes. Finally, an important challenge
identified in the study was the status attached to age in the workplace and the need recon-
cile this with added value.
Many of the variables used in this study to test the importance of humanism in the
African workplace could be more vigorously investigated across a wide range of
countries and technological conditions, and the humanist variables should be tested
against the tenets of the African tradition of ubuntu in order to examine the possibility
of developing specifically African HRM programmes.
References
Azolukwam, V & Perkins, S, 2009. Managerial perspectives on HRM in Nigeria: Evolving hybrid-
ization? Cross Cultural Management, An International Journal 16(1), 62–82.
Bender, K, Donohue, S & Heywood, J, 2005. Job satisfaction and gender segregation. Oxford
Economic Papers 57(3), 479–96.
266 K Sartorius et al.
Brief, AP & Weiss, HM, 2002. Organization behaviour: Affect in the workplace. Annual Review of
Psychology 53, 279–307.
Broodryk, J, 2006. The philosophy of ubuntu: Some management guidelines. Management Today
22(7), 52–5.
Carmichael, T & Rijamampianina, R, 2007. Managing diversity in Africa. In Luiz, J (Ed.),
Managing Business in Africa: Practical Management Theory for an Emerging Market.
Oxford University Press, Cape Town.
D’Addioa, A, Eriksson, T & Frijters, P, 2007. An analysis of the determinants of job satisfaction
when individuals’ baseline satisfaction levels may differ. Applied Economics 39(19),
2413–23.
Davis, S, 2008. The decline of job loss and why it matters. American Economic Review 98(2),
263–7.
Diaz-Serrano, L & Vieira, J, 2005. Low pay, higher pay and job satisfaction within the European
Union: Empirical evidence from fourteen countries. Discussion Paper No. 1558. IZA (Insti-
tute for the Study of Labor), National University of Ireland, Maynooth.
Dimba, B & K’obonyo, P, 2007. Influence of culture on strategic human resource management
(SHRM) practices in multinational companies (MNC) in Kenya: A critical literature
review. Working paper. College of Humanities and Social Sciences, University of Nairobi,
Kenya.
Eskildsen, J, Kristensen, K & Westlund, A, 2004. Work motivation and job satisfaction in the
Nordic countries. Employee Relations 26(2), 122–36.
Faragher, E, Cass, M & Cooper, C, 2005. The relationship between job satisfaction and health:
A meta-analysis. Occupational and Environmental Medicine 62(2), 105–12.
Gomez-Mejia, L & Palich, L, 1997. Cultural diversity and the performance of multinational firms.
Journal of International Business Studies 28(2), 309–35.
Granjo, P, 2003. The mine comes to town. Working paper from the Department of Archaeology
and Anthropology. Eduardo Mondlane University, Maputo, Mozambique.
Greenberg, J, 1980. Attentional focus and locus of performance causality as determinants of equity
behavior. Journal of Personality and Social Psychology 38(4), 579–85.
Herzberg, F, 1966. Work and the Nature of Man. World Publishing, Cleveland, OH.
Hofstede, G, 1994. Values Survey Module 1994 Manual. Institute for Research on Intercultural
Cooperation, Maastricht, The Netherlands.
Hofstede, G, 2001. Culture’s Consequences: Comparing Values, Behaviors, Institutions, and
Organizations across Nations. 2nd ed. Sage, Thousand Oaks, CA.
Hofstede, G, Jonker, CM & Verwaart, T, 2009. A multi-agent model of deceit and trust in inter-
cultural trade in computational collective intelligence. In Nguyen, NT, Kowalczky, R &
Chen, S-M (Eds), Computational College Intelligence: Semantic Web, Social Networks
and Multiagent Systems. Springer, Berlin.
Horwitz, F, 2007. Human resource management in Africa. In Luiz, J (Ed.), Managing Business in
Africa. Oxford University Press, Cape Town.
Horwitz, F, Heng, C & Quazi, H, 2003. Finders, keepers? Attracting, motivating and retaining
knowledge workers. Human Resource Management Journal 13(4), 23–44.
Huang, X & Van de Vliert, E, 2004. Job level and national culture as joint roots of job satisfaction.
Applied Psychology 53(3), 329–48.
Human, L, 1996. Managing workforce diversity: A critique and example from South Africa.
International Journal of Manpower 17(4/5), 46–64.
Inyang, B, 2009. The challenges of evolving and developing management indigenous theories and
practices in Africa. International Journal of Business and Management 3(12), 122–32.
Jackson, T, 2002. The management of people across cultures: Valuing people differently. Human
Resource Management 41(4), 455–75.
Kalleberg, A, 1977. Work values and job rewards: A theory of job satisfaction. American Socio-
logical Review 42(1), 124–43.
Kamoche, K, Yaw, D, Horwitz, F & Muuka, G (Eds), 2004. Managing Human Resources in Africa.
Routledge, London.
Creating job satisfaction in Africa 267
Leedy, P, 1993. Practical Research: Planning and Design. 5th ed. Macmillan, New York.
Leedy, P & Ormrod, J, 2001. Practical Research: Planning and Design. 7th ed. Prentice-Hall, Upper
Saddle River, NJ.
Levy-Garboua, L & Montmarquette, C, 2004. Reported job satisfaction: What does it mean?
Journal of Socio-Economics 33(2), 135–51.
Luiz, J, 2007. Challenges and prospects for economic and business development in Africa. In Luiz,
J (Ed.), Managing Business in Africa. Oxford University Press, Cape Town.
McGuire, D, Cross, C & O’Donnell, D, 2005. Why humanist approaches in HRD won’t work.
Human Resource Development Quarterly 16(1), 131–7.
Mueller, C & Price, J, 1990. Economic, psychological, and sociological determinants of voluntary
turnover. Journal of Behavioral Economics 19(3), 321–35.
Mulinge, M & Mueller, C, 1998. Employee job satisfaction in developing countries: The case of
Kenya. World Development 26(12), 2181–99.
Nussbaum, B, 2003. African culture and ubuntu: Reflections of a South African in America. World
Business Academy 17(1), 1–12.
Ogbonna, E & Harris, LC, 2002. Managing organisational culture: Insights from the hospitality
industry. Human Resource Management Journal 12(1), 33–54.
Okpara, J & Wynn, P, 2008. Challenges and prospects. Management Research News 31(1), 57–76.
Pfeffer, J, 1998. Six dangerous myths about pay. Harvard Business Review 76(3), 109–19.
Pitcher, M, 2006. Forgetting from above and memory from below: Strategies of legitimation and
struggle in postsocialist Mozambique. Africa 76(1), 88–112.
Price, J & Mueller, C, 1986. Absenteeism and Turnover of Hospital Employees. JAI Press,
Greenwich.
Prinsloo, E, 2000. The African view of participatory business management. Journal of Business
Ethics 25(4), 275–86.
Rijamampianina, R, 1996. Effective management in multicultural organizations. Economic Journal
of Hokkaido University 25(1), 119–67.
Rijamampianina, R & Carmichael, T, 2005. A framework for effective cross-cultural co-opetition
between organisations. Problems and Perspectives in Management 3(4), 92–103.
Schein, E, 1985. How Culture Forms, Develops, and Changes: Gaining Control of the Corporate
Culture. Jossey-Bass, San Francisco.
Schneider, S & Barsoux, J, 2003a. Culture and human resource management. In Schneider, S &
Barsoux, J (Eds), Managing Across Cultures. Financial Times Prentice Hall, Upper Saddle
River, NJ.
Schneider, S & Barsoux, J, 2003b. Culture and organization. In Schneider, S & Barsoux, J (Eds),
Managing Across Cultures. Financial Times Prentice Hall, Upper Saddle River, NJ.
Schneider, S & Barsoux, J, 2003c. The multicultural team. In Schneider, S & Barsoux, J (Eds),
Managing Across Cultures. Financial Times Prentice Hall, Upper Saddle River, NJ.
Sousa-Poza, A & Sousa-Poza, A, 2000. Well-being at work: A cross-national analysis of the levels
and determinants of job satisfaction. Journal of Socio-economics 29(6), 517–38.
Van de Vliert, E & Janssen, O, 2002. ‘Better than’ performance motives as roots of satisfaction
across more and less developed countries. Journal of Cross-cultural Psychology 33(4),
380–97.
Vermeulen, A, 2001. SAB takes ‘slow boat’’ approach to China. Business Report, 7 November.
www.busrep.co.za/index.php?fSetId=304&fSectionId=563&fArticleId=111717 Accessed 5
May 2010.
Vila, L & Garcıa-Mora, B, 2005. Education and the determinants of job satisfaction. Education
Economics 13(4), 409–25.
Voronov, M & Singer, J, 2002. The myth of individualism-collectivism: A critical review. Journal
of Social Psychology 142(4), 461–80.
Webster, E & Wood, G, 2005. Human resource management practice and institutional constraints:
The case of Mozambique. Employee Relations 27(4), 369–85.
268 K Sartorius et al.
Webster, E, Wood, G & Brookes, M, 2006. International homogenization or the persistence of
national practices? The remaking of industrial relations in Mozambique. Relations Indus-
trielles 61(2), 247–70.
Wooten, L & Crane, P, 2004. Generating dynamic capabilities through a humanist work ideology:
The case of a certified-nurse midwife practice in a professional bureaucracy. American
Behavioral Scientist 47(6), 848–66.
Yin, RK, 1994. Case Study Research: Design and Methods. 2nd ed. Sage, Newbury Park, CA.
Creating job satisfaction in Africa 269