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An Explanation of Differences between Government Offices
in Employees’ Organizational Citizenship Behavior
Dong Chul Shim and John Rohrbaugh
Rockefeller College of Public Affairs and Policy
University at Albany, State University of New York
ABSTRACT
Organizational citizenship behavior (OCB) includes employees’ discretionary actions notexplicitly recognized by formal reward systems that in the aggregate promote the effective
functioning of the organization (Organ, 1988). The present study was the first group-levelinvestigation of OCB antecedents in governmental organizations using the office or bureau, not
the government employee, as the primary unit of analysis. The hypotheses foundational to theinvestigation posited that aggregate employee perceptions of the importance and challenge of
work assigned in an office would predict, in part, the degree of overall job satisfaction, and that
all three variables would be associated with the level of OCB reported in an office. The presentstudy was conducted with an organizational survey of all employees in geographically dispersed
offices of a state government agency. Altogether 2136 usable questionnaires were returned for
an overall response rate of 82 percent and subsequently partitioned into 65 distinct office groups.Results based on a multivariate path model suggested that the overall levels of job importance
and job challenge in an office had positive relationships with collective job satisfaction and
explained over two-thirds of the variability observed. Job satisfaction did not fully mediate theconnection of work importance and work challenge to OCB; all three independent measures
were linked directly to the amount of OCB reported in these offices ( R2 = .45). One important
implication of the study is that OCB may serve as a compensatory mechanism in governmentoffices for the assignment of somewhat inconsequential tasks and responsibilities.
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An Explanation of Differences between Government Offices
in Employees’ Organizational Citizenship Behavior
Dong Chul Shim and John Rohrbaugh
Rockefeller College of Public Affairs and Policy
University at Albany, State University of New York
INTRODUCTION
Organizational citizenship behavior (OCB) includes employees’ discretionary actionsnot explicitly recognized by formal reward systems that in the aggregate promote the effective
functioning of the organization (Organ, 1988). Initially, the fundamental assumption was thatOCB was exhibited as a way that employees reciprocated favorable treatment by employers, as
anticipated in social exchange theory (Organ, 1990; Organ & Konovsky, 1989; Organ &Moorman, 1993). More recently, identity theories (social and role identity theory) have
suggested that the extent of OCB is influenced by role definition and organizational
identification (Carmeli, 2005; Finkelstein & Penner, 2004; Morrison, 1994). Another emerging perspective in public management is the importance of public service motivation, that is, the
propensity of public employees to engage in prosocial behaviors due to an ethos of compassion
and commitment to the public interest (see, for example, Houston, 2006; Kim, 2005; Pandey,Wright, & Moynihan, 2008; Rayner, Williams, Lawton, & Allinson, 2011).
According to Organ, Podsakoff, and MacKenzie (2006), OCB makes an importantcontribution to overall organizational performance in that it can facilitate work processes byfilling the gaps associated with non-prescribed tasks that job descriptions might not cover clearly
Podsakoff, Whiting, Podsakoff, and Blume (2009) have compiled considerable evidence that the
extent of OCB can be linked directly to variability in organizational performance including both
productivity and efficiency indicators. OCB is particularly critical in enhancing governmentaleffectiveness, since it can supplement formal bureaucratic operations that may be somewhat
restricted by limited administrative resources or protocols (Vigoda and Golembiewski, 2001).
When engaging in OCB, public employees, similar to their counterparts in the private sector, areseeking ways to enhance organizational performance by contributing to a better organizational
culture and even providing for better public service. Thus, governmental operations can be
managed with greater efficiency and services delivered with higher quality whenever employeesinteract with agency stakeholders in ways that exhibit the positive actions associated with OCB
(Kim, 2005).
Considerable research has been devoted to investigating the antecedents of OCB in private sector organizations (for reviews, see Organ and Ryan, 1995; LePine, Erez, and Johnson,
2002; Podsakoff, MacKenzie, Paine, and Bachrach, 2000; Dalal, 2005). Only a few studies of
OCB, however, have been undertaken in the context of government agencies in the United States(Rioux and Penner, 2001; Finkelstein and Penner, 2004; Pandey et al., 2008), United Kingdom
(Coyle-Shapiro, 2002; Coyle-Shapiro, Morrow, and Kessler, 2006), Australia (Noblet,
McWilliams, Teo, and Rodwell, 2006), Korea (Kim, 2006), and Kuwait (Alotaibi, 2001), and all
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of these have been conducted with the individual employee as the primary unit of analysis. The present study was the first formal investigation of OCB in a governmental organization using the
group (i.e., office or bureau) as the unit of analysis.
Organizational Citizenship Behavior
Employees’ organizational citizenship behavior (OCB) or “extra-role behavior” differs fromthe formally assigned in-role responsibilities defined by a job description linked directly to the
functioning of an organization. Of course, prosocial behaviors such as providing high quality
service to clients or offering assistance to co-workers can be an explicit facet of the job for many
government employees, while they might not be key aspects of performance evaluations forothers (Brief and Motowidlo, 1986). In essence, the core concept of OCB is hinged on whether
the behavior is discretionary and serves to promote an organizational culture in which employees
are known to cooperate widely and contribute broadly in ways that ultimately enhance
organizational effectiveness (Organ et al., 2006). In this context, volition and a predisposition tooffer one’s full effort are prolegomenous to OCB ( Podsakoff et al., 2000).
Not all discretionary prosocial behavior in organizations, however, would be classified asOCB. Prosocial behavior is a broader construct than OCB in that it includes activities both
functional and dysfunctional with respect to organizational goals (Brief and Motowidlo, 1986).
For example, a manager can show leniency toward employees in policy enforcement or retentiondecisions, prosocial choices that may be supportive of individuals and foster interpersonal
relationships but may not be necessarily advantageous to the organization. Altruism also has
been linked to OCB as the basis of a variety of beneficent actions (Krebs, 1970). The
identification of altruistic behaviors, however, presumes that an individual’s motivation for
helping others is without regard to self-interest, while the construct of OCB makes no such presumption. Further, altruistic behaviors are studied in many situations, while OCB is
institutionally identified and bounded. Organizational spontaneity is another seeminglycomparable construct (George and Brief, 1992; George and Jones, 1997) and, in fact, pertains to
a set of behaviors that also are encapsulated by OCB. The construct of OCB, however, is more
expansive than organizational spontaneity, as discussed below.
Organ (1988) proposed a five-dimensional model of OCB consisting of altruism
(assisting coworkers with work-relevant tasks); courtesy (being respectful and considerate ofother employees); conscientiousness (fulfilling in-role duties well beyond required levels); civic
virtue (participating in organizational life such as meetings, events, and governance); and
sportsmanship (tolerating difficulties without undue complaints). Later, he expanded thisframework to include peacekeeping and cheerleading (Organ, 1990). An alternativeconstruction of OCB (see, for example, Williams and Anderson, 1991) differentiates the target or
direction of actions, either toward the benefit of other individuals (termed OCBI) or toward the
benefit of the organization (termed OCBO). Conceptual representations of OCB now includealtruism, courtesy, peacekeeping, and cheerleading in the OCBI category, and conscientiousness(sometimes termed compliance), civic virtue, and sportsmanship in the OCBO category
(Podsakoff et al., 2009).
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Antecedents of Organizational Citizenship Behavior
Prior explanations of OCB can be clustered in four domains of antecedent variables:
employee characteristics, leadership behaviors, organizational conditions, and task (job)dimensions (see, for example, Podsakoff et al., 2000; LePine et al., 2002). Of all employee
characteristics, prior research has shown that positive attitudes about organizational fairness, as
well as job satisfaction and organizational commitment, are predictive of more frequentlyobserved and reported OCB, although not accounting for more than ten percent of the variance in
meta-analytic studies (see also LePine et al., 2002). Positive leadership behaviors also have been
linked frequently but, again, only moderately with OCB.1 Organization conditions have been
studied repeatedly but appear to be quite weakly associated with OCB. Task dimensions have been given little attention in research pertaining to OCB antecedents and will be discussed in
more detail below.
Most OCB studies involving organizations in the public sector have focused onantecedent variables in the domain of employee characteristics.
2 Some of these studies have
provided additional support for the importance of positive attitudes about organizational fairness
in predicting OCB (Alotaibi, 2001; Rioux and Penner, 2001; Coyle-Shapiro, 2002), although the
amount of explained variance in OCB has never exceeded ten percent. Surprisingly, not one
public sector study of OCB that included a measure of job satisfaction has reported its significantcontribution within a multivariate model (Alotaibi, 2001; Kim, 2006; Noblet et al., 2006). The
findings with respect to organizational commitment have been mixed (Rioux and Penner, 2001;
Coyle-Shapiro et al., 2006; Kim, 2006; Alotaibi, 2006; Pandey et al., 2008). All reportedsignificant bivariate correlations between commitment and multiple dimensions of OCB (median
r = .25), but subsequent multiple regression models indicated that this connection was attenuated
when other variables such as organizational fairness were introduced.
Rioux and Penner (2001; see also Finkelstein and Penner, 2004) have explored the
motivational basis of employees’ engagement in OCB using a 30-item Citizenship Motives Scale(CMS) with three subscales: organizational concern, prosocial values, and image management.
The CMS elicits a rating of importance for each of the 30 reasons why an employee might
engage in OCB (e.g., “Because I want to help my coworkers”). Although the greater importanceof a larger number of reasons was found to be significantly correlated with OCB, there remains
the theoretical question of whether self-reported explanations for behavior should be classified as
antecedent variables.3 Within the public management literature, public service motivation
(PSM), as the prosocial values subscale of the CMS, has been advanced as a predictor of OCB
1 One exception may be the role of the leader-member exchange (LMX) variable. Podsakoff and others (2000)
summarized the strength of the LMX-OCB relation across six studies with a correlation of .36. Ilies, Nahrgang, andMorgeson (2007) provide a recent discussion of this connection.2 Coyle-Shapiro and her colleagues (Coyle-Shapiro, 2002; Coyle-Shapiro, Morrow, and Kessler, 2006) have
incorporated measures of organizational conditions such as perceptions of organizational support and employerinducements, as well as measures of leadership behaviors such as trust and reciprocity in their research. Only the
perception of organizational support appeared to be useful in predicting OCB, findings consistent with prior meta-
analyses (see Podsakoff et al., 2000: 528). Noblet and others (2006), however, did not find a relation between OCB
and organizational support but reported that the amount of immediate support from coworkers and supervisors was asignificant predictor, as did Pandey and others (2008).3 Such explanations can become tautological: I help my coworkers because I want to help my coworkers.
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(Kim, 2006; Pandey et al., 2008); regression models including PSM as an antecedent have not been shown to explain as much as 30 percent of the OCB variance.
Podsakoff and others (2000: 532) observed that the domain of task dimensions asantecedents of OCB “appear to be consistently related to a wide variety of organizational
citizenship behaviors, although little attention has been given to them….This is interesting
because it suggests a whole new category of antecedents that has not been previouslyconsidered.” Similarly, Noblet and others (2006: 1805) concluded that little is known about the
characteristics of work that can have positive or negative effects on OCB. Task variety (or,
reversely, task routinization) has been shown to be moderately connected to OCB, and task
feedback weakly associated (Podsakoff et al., 2000). Turnipseed and Murkison (2000) reportedthat task clarity might have an explanatory role, as well. In another study (Noblet et al., 2006),
workload did not appear to be associated with OCB, but job control (or decision latitude) was
found to be significantly related. The present study explored two additional task dimensions—
job importance and job challenge—that, as yet, have not been linked in the research literature toOCB.
Organizational Climate and Organizational Citizenship Behavior
Organizational climate is an aggregated molar construct that reflects employees’collective perception of their work environment (Schneider and Reichers 1983). Such perception
reflects the sense-making process by which co-workers jointly understand and share their
experiences of organizational events (James, Choi, Ko, McNeil, Minton, Wright, and Kim, 2008).Thus, organizational climate is a construct at the group level of theory and should be analyzed
strictly as such. To the extent that employees in an office agree in their reports of psychological
climate,4 their shared perceptions may be aggregated to describe the organizational climate(James et al., 2008).
Shared perceptions of organizational climate are partly a consequence of employees’
work-related values, latent indicators of what individuals typically want to gain from their
workplace (James et al., 2008). An illustrative list of work-related values might include desiresfor harmony and justice; warm and friendly social relations in an organization; support and
recognition; and challenge, independence, and responsibility (Locke, 1976: 1326). These values
can engender cognitive schemas that employees use to assess the impact of their workenvironment on their organizational well-being (James and James, 1989). Thus, work-related
values reflect what employees consider to be important for their sense of personal well-being,
and the resulting cognitive schemas are employed to assess the degree to which such values arefulfilled in their organizations (James et al., 2008).
4 Psychological climate refers to “an individual's cognitive representations of relatively proximal situationalconditions, expressed in terms that reflect psychologically meaningful interpretations of the situation” (James, Hater,
Gent, and Bruni, 1978: 786).
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James and others (2008) have identified four primary domains5 of organizational and
psychological climate that are based on work-related values: 1) role stress and lack of harmony;
2) workgroup cooperation, friendliness, and warmth; 3) leadership facilitation and support; and
4) work challenge, autonomy, and responsibility. This framework has found empirical support ina variety of work settings (see, for example, James and James, 1989; Parker, Baltes, Young, Huff,
Altmann, Lacost, and Roberts, 2003). As noted above, leadership facilitation and support, as
well as workgroup cooperation, have been found to be moderately linked to OCB in priorresearch. The present study was designed to explore a separate domain of the organizational
climate framework for alternative antecedents of OCB in public sector organizations: work
importance and work challenge. Both work importance and work challenge have been identified
by James and others (2008) as occupying the same organizational climate domain with varietyand autonomy. Work importance and work challenge, however, would appear to be more
immediately connected to OCB than variety and autonomy, as discussed below.
A Conceptual Model and Research Hypotheses
Nearly two decades ago, Organ and Ryan (1995: 797) suggested that the study of OCB iswell-suited to research in which the group is used as the unit of analysis: “OCB is more
interesting as a group-level phenomenon and …this is the preferred level at which to theorize
about…OCB.” Podsakoff and others (2000) also encouraged more group-level theory andresearch to be initiated. In the following years, a number of group-level studies have been
published linking OCB with organizational performance (Nielsen, Hrivnak, and Shaw, 2009),
but similarly designed studies of the antecedents of OCB have been lagging (see, for example,Ehrhart, 2004; Richardson and Vandenberg, 2005). The present study was the first group-level
investigation of OCB antecedents in governmental organizations using the office or bureau as the
primary unit of analysis.
As shown in Figure 1, the conceptual model on which the present study was based is notcomplex. The overall degree of job satisfaction in the organization is indicated as having a direct
and positive association with group-level OCB. Two variables were selected from the
organizational climate domain of work challenge, autonomy, and responsibility: workimportance and work challenge. Both variables were considered to exhibit a direct and positive
association both with job satisfaction and with OCB. There are practical advantages to limiting
this framework to what Merton (1957) characterized as “theory of the middle range,” that is, a
network of concepts of modest scope oriented toward a well-delineated issue.
Job satisfaction. Much of the early body of OCB research consistently identified jobsatisfaction as an antecedent (Podsakoff et al., 2000). Social exchange theory supported thisconnection by framing OCB as one mechanism through which employees could reciprocate for
having their needs appropriately fulfilled in the workplace (Organ et al., 2006). Less job
satisfaction was understood to evoke a lower level of OCB (Bateman and Organ, 1983; Smith,Organ, and Near, 1983). Fassina, Jones, and Uggerslev (2008) have reported that job satisfaction
5 James and colleagues (1978) initially identified five domains of climate, but in subsequent work they included onlyfour domains. Aspects of the fifth domain, organizational and subsystem attributes, were included in the first (i.e.,
role stress and lack of harmony) and fourth domains (i.e., social environment characteristics) of their model.
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accounts for a significant degree of variance in OCB, even when three types of organizationalfairness are simultaneously controlled.
Not one public sector study of OCB that included a measure of job satisfaction hasreported its significant contribution as a predictor within a multivariate model (Alotaibi, 2001;
Kim, 2006; Noblet et al., 2006). The lack of alignment in findings between public and private
sector samples of employees has yet to be explained.6 Nevertheless, in accordance with social
exchange theory, the conceptual model framing the present group-level study anticipated a direct
and positive relation between job satisfaction and OCB:
Hypothesis 1: Offices and bureaus in which employees report greater job
satisfaction will produce reports of greater levels of OCB; lower levels of OCB
will be reported in offices and bureaus with less overall job satisfaction.
Work importance. The social identity perspective (Tajfel and Turner, 1979, 1986) and,in particular, the group engagement model (Blader and Tyler, 2009) suggest that individualsenact group norms and help a group to achieve its collective goals through cooperative behaviors
when the group is an important source of their sense of self. The social identity perspective
emphasizes that individuals have a strong need for a positive self-image and often attempt toimprove their self-image by increasing their involvement in groups that can foster this process of
enhancement.
The connection between the importance of one’s organizational work assignments
(sometimes termed “task significance” and job satisfaction is well-established (see, for example,
Fried and Ferris, 1987). The possibility that greater work importance also can be associated with
more OCB has not been investigated either at the individual or group level of analysis. However,Rousseau (1998) proposed that social identity is higher when individuals believe that their work
efforts are meaningful and share the interests of their work group. Thus, employees’ reports ofwork importance and job satisfaction may be considered indicative of group engagement (Blader
and Tyler, 2009) and a willingness to expend more effort toward both in-role performance, as
well as the extra-role activities of OCB (Organ et al., 2006). For these reasons, two additional
hypotheses consistent with the social identity perspective were identified:
Hypothesis 2a: Offices and bureaus in which employees report greater work
importance will produce reports of greater job satisfaction; lower levels of jobsatisfaction will be reported in offices and bureaus with lesser work importance.
Hypothesis 2b: Offices and bureaus in which employees report greater workimportance will produce reports of greater levels of OCB; lower levels of OCB
will be reported in offices and bureaus with lesser work importance.
Work challenge. Work challenge, as work importance, is considered a key factor inincreasing an employee’s motivation (Wright, 2004). When a job is perceived to be complex
and requires considerable effort, a sense of pride and accomplishment emerges with the
6 One possible explanation is that the public sector studies have used somewhat unique and unconventionalmeasures of job satisfaction; no common measure of job satisfaction has been adopted widely for public
management research.
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completion of such tasks. In public management research, however, work challenge (sometimestermed “job difficulty” or “job demand”) has not been widely adopted as a variable of interest
(Hassan and Rohrbaugh, 2011). Noblett and others (2006), working from Karasek’s (1979) job
demand-control model, may have been produced the first and only study to assess the connectionof work challenge to job satisfaction, as well as to OCB; no relationship was found.
Across the full range of organizational conditions in which work challenge might varyfrom extremely low (i.e., simple tasks that are easy to accomplish well) to extremely high (i.e.,
complex tasks that are nearly impossible to accomplish well), its relations with consequential
variables are likely to be nonlinear and mediated by other factors. As Wright (2004) observed,
increased job demands can raise employees’ self-efficacy by signaling others’ confidence thatthey can meet greater work challenges; as a result, group engagement may be greater. At a
certain point, however, excessive job demands termed “role overload”—especially without
essential support and control—will reverse these relationships, resulting is lower job satisfaction
and less willingness to engage in OCB (see, for example, Jex and Thomas, 2003). In the presentstudy, indications of excessive job demands were absent, so that following hypotheses could be
tested in a linear rather than nonlinear manner:
Hypothesis 3a: Offices and bureaus in which employees report greater work
challenge will produce reports of greater job satisfaction; lower levels of job
satisfaction will be reported in offices and bureaus with lesser work challenge.
Hypothesis 3b: Offices and bureaus in which employees report greater work
challenge will produce reports of greater levels of OCB; lower levels of OCB will
be reported in offices and bureaus with lesser work challenge.
The conceptual model shown in Figure 1 allows for a determination of whether
job satisfaction appears to fully or partially mediate the influence of work importance andwork challenge on OCB by tracing both their direct and indirect effects. If the direct pathof work importance to OCB or if the direct path of work challenge to OCB would be
found to be non-significant, the job satisfaction would be shown to fully mediate one or
both effects.
METHOD OF STUDY
The present study was conducted with an organizational survey of all employees in
geographically dispersed offices of a state government agency with twelve distinct divisions ofoperation. Data were gathered through the design and use of a unique, eight-page questionnaireto a population of 2614 employees. Responsibility for internal distribution and collection of
questionnaires was assigned to division managers. Altogether, 2136 usable questionnaires were
returned for an overall response rate of 82 percent; response rates by division ranged from a lowof 70 percent to a high of 100 percent.
As shown in Table 1, most (87 percent) of the respondents were white, and 60 percentwere female. Nearly one-third (31 percent) of the respondents reported their job was best
described as clerical or support, nearly half (47 percent) as professional or technical, and nearly
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one in five as managerial or executive (19 percent). Approximately two-thirds were between theages of 40 and 59 (63 percent); another third were under 40 (31 percent). Not shown in Table 1,
lengths of tenure (arithmetic means of 4.8 years in current position, 9.8 years in current office or
bureau, and 11.6 years in the state agency) were positively skewed.
All respondents completed a 130-item questionnaire designed in large part to examine
employees’ perceptions of the organizational climate in the organization, as well theirorganizational citizenship behavior (OCB). In addition to the variables relevant in the present
study, data were collected for other agency, office and individual level variables, the analysis of
which is beyond the scope of this paper. Items for all of the variables were measured either on a
six-point (coded 1-6) strength of agreement (strongly disagree, generally disagree, disagree alittle, agree a little, generally agree, and strongly agree) or a five-point (coded 0–4) frequency of
occurrence (almost never/never, rarely, sometimes, often, and almost always/always) scale. A
complete list of the items included in each measure used in the present study is provided in the
appendix.
Each of the three independent measures in the conceptual model—work importance,work challenge, and job satisfaction—was assessed using three items borrowed, wherever
possible, from previously validated measures. The measure of work importance was derived
from the job diagnostic survey (Hackman and Oldham, 1975), and the measure of workchallenge was derived from the task-goal attributes (Steers and Porter, 1974). Both measures
were validated recently by Shim and Rohrbaugh (2011).7 Job satisfaction was measured using
items provided by Wright and Davis (2003). In the present study, slight variations in the contentof the three independent measures were made in an effort to improve their reliability and
discriminant validity. The full set of items used in these measures is presented in the appendix.
LePine and others (2002) have concluded that OCB should be considered as a latent
construct to be measured as a general tendency to be cooperative and helpful. The design of the present study did not attempt a multi-dimensional assessment of OCB but rather incorporated
this latent construct approach using four items that tended toward OCBO—behaviors that benefit
the organization in general, rather than specific individuals (Williams and Anderson, 1991). Thisapproach is consistent with the study design at the group level of analysis. Specific wording of
the four items that form this OCB scale was shaped by reviewing scales validated in prior OCB
studies (Organ et al., 2006); these items are included in the appendix.
RESULTS
Not all employees who participated in the survey reported their office location, presumably as a means to assure their anonymity. A total of 1627 employees, however, could be
identified within 65 different office locations, a retention rate of 76 percent.8 Only three of these
7 Work importance was termed “task significance” by Hackman and Oldham (1975). Work challenge was termed
“goal difficulty” by Steers and Porter (1974). Shim and Rohrbaugh (2011) used Cronbach’s alpha to establish scale
reliabilities: .66 for importance and .79 for challenge; the measures were moderately correlated (r = .45). Wright
(2004) reported an alpha of .85 for a parallel measure of challenge.8 Clerical and support staff appeared more concerned than other employees about revealing their office locations.
Over 85% of professional and technical employees, for example, reported their places of work.
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locations needed to be dropped from the study because three or fewer employees had reportedworking there. The number of employees in the remaining 62 offices ranged from four to 129;
23 of these offices were described by fewer than ten employees, while thirteen offices were
described by more than 50 employees.
For each measure in the conceptual model, its component items were standardized with
mean of 0.0 and standard deviation of 1.0 at the individual level of analysis, then averaged sothat the arithmetic mean of the measure also was 0.0; standard deviations ranged from .71 for the
dependent measure OCB to .86 for job satisfaction. The reliability estimates using Cronbach’s
alpha for the four measures are shown in Table 2; all were acceptable and ranged from .67 for
the dependent measure OCB to .82 for job satisfaction. Individual scale scores were aggregated(averaged) within offices and bureaus for group-level analysis (n = 64). Also presented in Table
2 are the bivariate correlations between the four measures at the group and at the individual
levels of analysis. For both levels, work challenge was more greatly associated with OCB than
either job satisfaction or work importance. Work importance, however, was highly correlatedwith job satisfaction at both the individual and group levels of analysis (r s = .67 and .79,
respectively). Work importance and work challenge were not highly correlated at the individuallevel (r = .16 but more so at the group level (r = .43).
All hypotheses for the present study were tested with the multivariate path model shownin Figure 2. Job satisfaction initially was regressed on work importance and work challenge,
then OCB was regressed on work importance, work challenge, and job satisfaction jointly.
Altogether over two-thirds of the variability in overall job satisfaction across offices and bureauscould be predicted from the levels of perceived work importance and work challenge ( R2 = .69),
and almost half of the variability in overall OCB across offices and bureaus could be predicted
from levels of perceived work importance, work challenge, and job satisfaction ( R2 = .45).Hypothesis 1—offices and bureaus in which employees report greater job satisfaction will
produce reports of greater levels of OCB—was supported. The path coefficient () for jobsatisfaction OCB was .65, the largest predictor.
Hypothesis 2a—offices and bureaus in which employees report greater work importance
will produce reports of greater job satisfaction—also was supported. The path coefficient () forwork importance job satisfaction was .67, the largest of the five path coefficients in the
conceptual model. Hypothesis 3a—offices and bureaus in which employees report greater work
challenge will produce reports of greater job satisfaction—was supported, as well. The path
coefficient () for work challenge job satisfaction was .29, but the shared perception of work
challenge clearly was not nearly as predictive of job satisfaction as the shared perception of workimportance.
Hypothesis 2b—offices and bureaus in which employees report greater work importance
will produce reports of greater levels of OCB—was not supported. In fact, a strong inverse
relationship was found between work importance and OCB. The path coefficient () for work
importance OCB was -.43. Offices and bureaus in which the shared perception of workimportance was low also reported greater levels of OCB, despite the fact that greater work
importance was connected to more job satisfaction and greater job satisfaction was connected to
more OCB. Evidently, the importance of work in offices and bureaus can impede as well as
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facilitate OCB, an issue discussed in more detail below. Hypothesis 3b—offices and bureaus inwhich employees report greater work challenge will produce reports of greater levels of OCB—
was supported. The path coefficient () for work challenge OCB was .38. Thus, the strengthof this direct relationship was only partially mediated, not fully mediated, by job satisfaction.
DISCUSSION AND CONCLUSION
The present study was the first formal investigation of OCB in a governmental
organization using the group (i.e., office or bureau) as the unit of analysis. The goal was to
examine how well organizational climate variables in one specific domain—work importanceand work challenge—predict OCB in offices and bureaus of a large, geographically dispersed
government agency (James et al., 2008). The study design relied on a conceptual model that
could provide a well-grounded justification for the selection of the set of four variables. Thisframework was restricted to what Merton (1957) characterized as “theory of the middle range.”
Since the model does not provide a grand or overarching theory of OCB, it should not be takenas the only useful way of analyzing the phenomena of interest here and merely represents one ofmany possible theoretical constructions. No amount of empirical support for this particular
model can logically jeopardize the validity of other alternative frameworks that might be
proposed.
The present research findings provide support for the contention of Organ and Ryan
(1995) that the study of OCB is well-suited to research in which the group, rather than theindividual employee, is used as the unit of analysis. At the group level, nearly half of the
variability in OCB exhibited in offices and bureaus ( R2 = .45) could be predicted from the shared
perceptions of work importance and work challenge, as well as overall job satisfaction. This
proportion of explained variance is considerably more than reported in prior public managementstudies at the individual level of analysis (see, for example, Alotaibi, 2001; Coyle-Shapiro, 2002;
Rioux and Penner, 2001; Pandey et al., 2008).
As noted in the introduction, not one public sector study that included job satisfaction asan independent measure has reported its significant contribution as a predictor of OCB within a
multiple regression equation. This is puzzling because of the long-established relationship
between job satisfaction and OCB in business and industrial settings (Podsakoff et al., 2000). Inthe multivariate path model shown in Figure 2, however, job satisfaction is shown to play a key
role in predicting the level of OCB in 62 offices and bureaus ( = .65). This result, more in
alignment with private sector research findings, may be attributable in the present study to the
use of a more conventional and established measure of job satisfaction incorporating previouslyvalidated items (Wright and Davis, 2003; Hassan and Rohrbaugh, 2011).
Job satisfaction, however, did not fully mediate the effects of work importance or work
challenge on OCB. Both work importance and work challenge had positive indirect relations
with OCB through increased job satisfaction (.67*.65=.44 and .29*.65=.19, respectively), buteach exhibited a direct connection to OCB, as well. The overall relation of work challenge and
OCB at the group level was unambiguous. Offices and bureaus with an organizational climate of
greater work challenge experienced more shared job satisfaction among employees, as well as
more shared OCB. Much less clear was the overall relation of work importance and OCB at the
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group level. Although its positive indirect connection to OCB was evident (i.e., greater workimportance was associated with more job satisfaction, and greater job satisfaction was associated
with more OCB), its direct effect on OCB was negative. A shared perception of greater work
importance in the 62 offices and bureaus predicted lower OCB when job satisfaction and workchallenge were held constant in the multivariate path model.
Organ and others (2006: 116) have suggested that the work characteristic termed roleoverload could be negatively related to OCB due to the reduced amount of discretionary time
available for extra-role activities. It is possible that the negative direct effect of work importance
found in the present study has an explanation that is parallel to the role overload variable. When
the importance of in-role responsibilities in the 62 offices and bureaus was widely perceived to be high, employees tended not to engage so fully in OCB. However, when the shared perception
among employees was that their formal duties were not so important, they may have searched for
other significant responsibilities to which they could commit their discretionary time. Of course,
there is an alternative possibility that this negative path coefficient might be attributable merelyto a statistical artifact that can occur when predictors are highly correlated (i.e., the
“multicollinearity problem;” see, for example, Freund and Wilson, 1998: 181-223). This doesnot appear to be a useful explanation in the present study since 1) work importance and job
satisfaction were not so highly correlated, 2) the number of offices and bureaus (n = 62) was
adequate for three independent measures, and 3) the size of the standard error for the direct path
was small (SE = .15). Perhaps not a statistical artifact, then, OCB may serve in part as a
compensatory mechanism in government offices for the assignment of somewhat inconsequentialin-role tasks and responsibilities.
Tests of statistical significance were not conducted for this study because survey
respondents were not sampled from the full population of employees. In fact, all employeeswere included in the survey, and nearly all employees completed a questionnaire; the
participation rate was .82. Thus, the coefficients reported here can be considered to be quiteclose approximations of the population parameters for the time period in which this study was
conducted. If customary statistical tests had been conducted, however, all correlationcoefficients shown in Table 2 and all path coefficients shown in Figure 2 would be determined to
be significant ( p < .05).
This study shares the potential problem of common method bias (Campbell and Fiske
1959) with all prior studies that have focused on organizational commitment using self-report
data from a single source such as an interview protocol or a questionnaire. In brief, the
measurement of multiple variables through a common method may overestimate the actualmagnitude of their interrelations due to the contribution of a pattern of response covariance
evoked solely by use of one assessment form. Self-reports in organizational research, for
example, may induce patterns of response set such as social desirability, acquiescence, ordeviation that can increase observed correlations between measures. Statistical remedies for
common method bias remain problematic (Podsakoff, MacKenzie, Lee, and Podsakoff, 2003).
A variety of non-statistical procedures were introduced in the design of the present study
to reduce potential common method bias. Anonymity of response was assured repeatedly in all
correspondence and evidenced in every aspect of data collection. Questionnaires were
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completed at different times and in multiple office locations. Further, the particular items usedin the present study were interspersed widely over seven pages and nine distinct sections within
the larger 130-item questionnaire. These items also were almost evenly split in the directionality
of their wording (i.e., both positive and negative statements). Varied response formats were presented. Although no items for “marker” variables were inserted strategically in the
questionnaire to allow for the statistical control of common method bias (Podsakoff et al., 2003),
the results of the present study produced some evidence that the design procedures (discussedabove) may have been at least somewhat effective. For example, the degree of discriminant
validity indicated by the individual-level correlation of job satisfaction and OCB (r = .25) was
equivalent to that reported previously in meta-analytic studies (Organ et al., 2006: 76-77). Thus,
common method bias appears to have been successfully attenuated, if not eliminated, in the present study.
The value of the present conceptual model, although promising, was limited in several notable
ways. Cross-sectional studies such as this one, of course, cannot examine the development ordecline of OCB over time. Government career commitment (Shim and Rohrbaugh, 2011) and,
much more generally, public service motivation (Pandey, Wright, and Moynihan, 2008) may bekey variables that can shape, at least in part, work-related attitudes. Also unanswered by the
present study is another work environment question: employees’ perceptions of organizational
fairness (i.e., both distributive and procedural justice) and its role in influencing OCB (Fassina etal., 2008) in public management. The relation of the psychological climate—as perceived by
individual employees—to the organizational climate—as an aggregated molar construct of
employees’ collective perceptions—remains to be investigated, as well. Clearly, however, the present study suggests that much of the variance in OCB can be predicted from differences in
organizational climate, particularly the shared perceptions work importance, work challenge, and
job satisfaction.
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Work
Importance
Work
Challenge
Job
Satisfaction
Organizational
Citizenship
Behavior
(OCB)
+
+
+
+
+
Figure 1. Conceptual Model for the Present Study.
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Work
Importance
Work
Challenge
Job
Satisfaction
Organizational
Citizenship
Behavior
(OCB)
-.43
.38
.65
.67
.29
Figure 2. Multivariate Path Model for the Present Study.
R2 = .69
R = .45
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Table 1. Employee Demographics and Organizational Characteristics.
Gender
Female 60%
Male 40%
Age
under 30 14%
30 - 39 17%
40 - 49 30%
50 - 59 33%60 and over 6%
Ethnicity
Caucasian/White 87%
African-American/Black 8%
Asian 3%
Hispanic/Latino 2%
Native American 1%
Nature of Position
student/hourly 3%
clerical/support 31%
professional/technical 47%
manager (first-, mid-level) 14%
senior manager/executive 5%
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Table 2. Bivariate Correlations between Measures at Individual and Group Levels.
1 2 3 4
1 Organizational Citizenship Behavior
individual level (.67) .19 .37 .25
group level .24 .57 .52
2 Work Importance
individual level .19 (.70) .42 .67
group level .24 .43 .79
3 Work Challenge
individual level .37 .42 (.72) .49
group level .57 .43 .57
4 Job Satisfaction
individual level .25 .67 .49 (.82)
group level .52 .79 .57
Cronbach’s alphas for each measure are shown in parentheses.
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APPENDIX
Organizational Citizenship Behavior (OCB)
I do extra work for my job that isn’t really expected of me.
I am known to “go the extra mile” for this division.
I find ways to make work-related suggestions that could improve performance.
I am willing to volunteer for teams and committees.
Work Importance
I feel that my job is very important.I work on tasks that seem useless or unnecessary. (reverse scored)
Through my work I help to provide valuable services to New York State taxpayers.
Work Challenge
My work is very challenging.
My daily work routine is very predictable. (reverse scored)
I get an opportunity to do new and different things at work.
Job Satisfaction
I am very satisfied with the kind of work that I do.
At least for now, my current position is well suited to my needs.
At the end of the day, I feel good about the work that I do here.