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A Meta-analysis of the Relationship Between Organizational Commitment and Organizational Citizenship Behavior: Test of Potential Moderator Variables

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Abstract

We meta-analyzed the correlation between organizational commitment (OC) and organizational citizenship behavior (OCB) and tested the effects of four potential moderators of this relationship. Eighty-six primary samples (N = 27,640) were included in the meta analysis. A moderate positive correlation was found between organizational commitment and organizational citizenship behavior. Moderator analysis showed that there was a significant effect of rating source, organization type and culture dimension of individualism vs. collectivism on the OC-OCB relationship. Moderating effect of publication bias was not significant. Implications of findings for theory and practice were discussed and suggestions for further research were provided.
A Meta-analysis of the Relationship
Between Organizational Commitment
and Organizational Citizenship Behavior:
Test of Potential Moderator Variables
Sahin Cetin
1
&Sait Gürbüz
2
&Mahmut Sert
2
#Springer Science+Business Media New York 2015
Abstract We meta-analyzed the correlation between organizational commitment (OC) and
organizational citizenship behavior (OCB) and tested the effects of four potential moderators
of this relationship. Eighty-six primary samples (N=27,640) were included in the meta
analysis. A moderate positive correlation was found between organizational commitment
and organizational citizenship behavior. Moderator analysis showed that there was a signifi-
cant effect of rating source, organization type and culture dimension of individualism vs.
collectivism on the OC-OCB relationship. Moderating effect of publication bias was not
significant. Implications of findings for theory and practice were discussed and suggestions
for further research were provided.
Keywords Organizational citizenship behavior .Organizational commitment
Introduction
Employee behaviors that are outside formal job requirements but help make the workplace
better and thus contribute to unit functioning are collectively called organizational citizenship
behaviors (OCBs). OCBs are important at multiple levels. They are believed to Bshape the
organizational, social, and psychological contexts that serve as the catalyst for task activities
and processes^(Borman and Motowidlo 1997: 100). Employees who perform OCBs tend to
receive more favorable performance evaluations and/or rewards (Van Scotter et al. 2000;
Dulebohn et al. 2005; Whiting et al. 2008; Lievens et al. 2008). Research has also shown that
Employ Respons Rights J
DOI 10.1007/s10672-015-9266-5
*Sahin Cetin
scetin93@gmail.com; scetin2@harpak.edu.tr
1
Department of Management, Turkish War College, Istanbul, Turkey
2
Turkish Military Academy, Ankara, Turkey
OCBs also contribute to organizational performance and social capital (Bolino et al. 2002;
Podsakoff et al. 1997).
As OCBs are associated with a variety of desirable personal and organizational outcomes,
much research has examined its antecedents. Organizational commitment is among the most
commonly studied antecedents of OCB (e.g., Schappe 1998; Van Scotter 2000;Gürbüz2009).
Research on the relationship between OC and OCB generally found a significant positive
correlation between the two constructs (e.g.,: MacKenzie et al. 1998; Chen and Francesco
2003; Bogler and Somech 2004; Chu et al. 2006; Lin et al. 2008). Yet, contrary to expecta-
tions, in some studies researchers did not find a significant relationship between OC and its
dimensions and OCB (e.g.,: Williams and Anderson 1991;Tansky1993; Alotaibi 2001). The
relationship between continuance commitment (OC.Cont.) and OCB, on the other hand, was
consistently negative or insignificant (Meyer et al. 2002; Organ and Ryan 1995).
Meta analyses on the OCB-OC relationship reported significant positive correlations
between the two constructs (LePine et al. 2002; Meyer et al. 2002;Riketta2002;Dalal
2005) and/or their dimensions, with the exception of facets of OCB and continuance commit-
ment not correlating significantly (Organ and Ryan 1995; Podsakoff et al. 1996).
The present study uses meta-analysis to explore (a) the relationship between OC and OCB,
and (b) the effect of potential moderator variables in this relationship. It reports the results of a
meta-analysis that is based on a comprehensive sample of studies dealing specifically with the
OC-OCB relationship and also identifies four potential moderators of this correlation.
Although OC-OCB relationship has been meta-analyzed in previous research, there is value
in revisiting these relationships for a number of reasons. First, studies carried out after the last
meta-analysis (Dalal 2005), seem to have accumulated large enough empirical literature on
OC-OCB relationship to merit a new meta-analysis. By aggregating results across many recent
studies, a more precise and updated estimate of the population correlation between OC and
OCB can be obtained.
Second, previous meta-analyses involved mostly samples from predominantly individualist
cultural settings. As Meyer and his colleagues (2002) noted earlier, research based on the
Three-Component Model of commitment is increasingly being conducted outside North
American context. So, addition of 10 years worth of research including samples from
predominantly collectivist cultural settings (69 % in our sample) should lead to more compre-
hensive and realistic estimates of the OC-OCB relationship.
Further, testing the effects of such potential moderators as source of ratings, publication
bias, type of the organization, and culture on the relationship between OC and OCB might be
an important contribution to the literature too.
Construct Def initions
Organizational Citizenship Behavior
OCB was originally defined as Bindividual behavior that is discretionary, not directly or
explicitly recognized by the formal reward system, and that in the aggregate promotes the
effective functioning of the organization (Organ 1988: 4). In response to criticism concerning
various aspects of the original definition (e.g., Morrison 1994: 1561; MacKenzie et al. 1991;
Podsakoff and MacKenzie 1994)Organ(1997) later acknowledged that OCB may be recog-
nized and rewarded during performance appraisals. Most recently, Organ and colleagues
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(as cited in Spitzmuller et al. 2008: 107) emphasized the discretionary nature of OCB and
redefined it as discretionary contributions that go beyond the strict description and that do not
lay claim to contractual recompense from the formal reward system.
In our analysis we differentiate between three forms of OCB: OCB as a general construct
(OCB-G), OCB directed at the organization as a whole (OCB-O) and OCB directed at
individuals (OCB-I); a framework suggested by Williams and Anderson (1991). OCB-I
involves voluntarily helping co-workers and facilitating their work, thereby contributing to
unit effectiveness as a whole (Williams and Anderson 1991). OCB-O, on the other hand, is not
directed toward any specific employee but aimed at the organization as a whole. Organization
is the primary beneficiary of these behaviors (Williams and Anderson 1991).
We believe that this simple conceptual framework is relevant as it covers all dimensions
defined by Organ (1988) as well as many other forms of OCB in literature (Podsakoff et al.
2009). This framework is also supported by findings of past theoretical and empirical research
(Ilies et al. 2007:270271; Ilies et al. 2009: 947). In a study carried out in Turkey, for instance,
Şeşen (2010) reported better CFA goodness of fit indexes for the two-factor model of OCB
compared to the five-factor model.
Also, previous meta analyses (e.g.,: Chang et al. 2007; Cohen-Charash and Spector 2001;
Chiaburu et al. 2011;Dalal2005; Fassina et al. 2008; Ilies et al. 2007,2009;OrganandRyan
1995; Podsakoff et al. 2009) combined various forms/factors of OCB into two factors (OCB-I
and OCB-O).
Based upon our analysis of cited meta analyses, we classified following OCB dimensions
as OCB-I; Balturism^and Bcourtesy^defined by Organ (1988), Balturism^defined by
Morrison (1994), Binterpersonal helping^definedbyBormanandMotowidlo(1997),
Binterpersonal facilitation^defined by Van Scotter and Motowidlo (1996)andBinterpersonal
facilitation^defined by Van Dyne and LePine (1998). OCB dimensions classified as OCB-O
were; Bgeneral compliance^defined by Smith et al. (1983), Bconscientiousness,^Bcivic
virtue,^and Bsportsmanship^defined by Organ (1988), Van Dyne and LePine (1998),
Moorman and Blakely (1995), Bjob dedication^defined by Van Scotter and Motowidlo
(1996) and Van Dyne and LePine (1998), Borganizational loyalty^defined by Graham
(1991)andBdefending organizational objectives^defined by Borman and Motowidlo
(1997). Those studies that defined other citizenship behaviors were not included in our
analysis.
The procedure followed in combining these dimensions into OCB-I and OCB-O will be
explained in detail in the Procedure section.
Organizational Commitment
Like OCB, organizational commitment (OC) has, for quite some time, been a popular topic
among researchers in management and organizational behavior because it is, too, associated
with various positive organizational outcomes (Riketta 2002).
Porter et al. (1974) defined organizational commitment as the strength of an individuals
identification with and involvement in an organization. They argued that commitment is
characterized by (a) a belief in and acceptance of organizational goals and values, (b) a
willingness to spend effort, and (c) a desire to maintain membership.
Meyer and Herscovitch (2001: 301) defined commitment as a force that guides a course of
action toward one or more targets. According to this definition, two aspects of commitment are
Bforce and target(s).^A target is an Banchor^of attachment and may be the organization, the
Employ Respons Rights J
supervisor, coworkers, customers, the occupation, or the team. BForce^is about willingness of
an employee to maintain his/her membership in the organization. These reasons can be
affective, normative, or continuance (Dagenais-Cooper and Paille 2012). This definition draws
upon Meyer and Allens (as cited in Meyer et al. 1993). Three-Component Model of
Commitment; a widely used model of organizational commitment that defines three forms
of commitment; affective, continuance, and normative commitment. Affective commitment is
described as the emotional attachment to, identification with, and involvement in the organi-
zation. Continuance commitment is related with the perceived costs of leaving the organiza-
tion. Normative commitment is the felt obligation to remain in the organization (Solinger et al.
2008).
Relationship Between OCB and Organizational Commitment
Social exchange theory has been used to explain the relationship between OCB and OC. This
theory contends that employees who have had satisfying experiences about the organization
respond by behaving in ways that benefit the organization and/or other employees (i.e., OCB)
and by displaying commitment to the organization (Cohen and Danny 2008:434).
Studies generally found a positive relationship between OCB and OC (e.g.,: Bogler and
Somech 2004; Chen and Francesco 2003; Chu et al. 2006; MacKenzie et al. 1998). As noted
earlier, some studies did not find a significant relationship between OC or its dimensions and
OCB (e.g.,: Williams and Anderson 1991;Tansky1993; Alotaibi 2001).
In many studies there was a significant positive relationship between affective commitment
and OCB (e.g.,: Feather and Rauter 2004;Gürbüz2006; Moorman et al. 1993; Van Scotter
2000) and between normative commitment and OCB (e.g.,: Gautam et al. 2005; Meyer et al.
1993; Meyer et al. 2002; Nguni et al. 2006; Wasti 2005). The relationship between affective
commitment and OCB is relatively stronger, albeit some evidence for the contrary (Cichy et al.
2009; Meyer et al. 2002; Pianluprasidh 2005).
Research on the relationship between continuance commitment and OCB gave conflicting
results. Although some studies found a significant positive relationship between continuance
commitment and OCB (Nguni et al. 2006; Moorman et al. 1993; Bolat and Bolat 2008)some
others found a negative or an insignificant relationship (Karacaoğlu and Güney 2010;Meyer
et al. 1993; Meyer & Allen, 1986 cited in Meyer and Allen 1991; Shore and Wayne 1993).
Meta analyses on the OCB-OC relationship generally found significant positive correlations
between the two constructs. For the relation between affective commitment and OCB, mean
correlations ranged between (0.20) (LePine et al. 2002) and (ρ=0.32) (Meyer et al. 2002). Ng
and Feldman (2011) reported an effect size of 0.23 for the same relation. For normative
commitment similar corrected mean correlations were found (ρ=0.24 (Meyer et al. 2002)(see
also Riketta 2002;Dalal2005). As regards dimensions of OC and OCB, Podsakoff and
colleagues (1996), for instance, reported significant positive correlations between the two
facets of OCB (altruism and generalized compliance) and two forms of (OC and Affective
Commitment). However the correlation between the two facets of OCB and Continuance
Commitment was insignificant. Similarly, insignificant correlations were reported between
continuance commitment and general construct of OCB (Meyer et al. 2002 or altruism (Organ
and Ryan 1995).
Based on findings of past empirical research and meta analyses, following hypotheses were
formulated on the relationship between OC and OCB:
Employ Respons Rights J
H
1
: There is a significant positive relationship between OC as a general construct (OC-G)
and OCB-G (H
1a
), OCB-I (H
1b
) and OCB-O (H
1c
).
H
2
: There is a significant positive relationship between OC-Aff. and OCB-G (H
2a
), OCB-
I(H
2b
) and OCB-O (H
2c
).
H
3
: There is a significant positive relationship between OC-Norm. and OCB-G (H
3a
),
OCB-I (H
3b
) and OCB-O (H
3c
).
H
4
: There is a no significant relationship between OC-Cont. and OCB-G (H
4a
), OCB-I
(H
4b
)andOCB-O(H
4c
).
Potential Moderator Variables
Source of Ratings
Studies of OCB have mostly used measures from self or supervisor ratings. Some
scholars argue that using the same method for measuring variables (usually self report
surveys) may result in inflated correlations (Spector 2006: 221). Leniency of self-
ratings has been found for a variety of occupations like clerical workers, technical
subordinates, nurses, first-level superiors and executives and for a variety of constructs.
For instance research has shown that self-ratings of performance were significantly
higher than ratings by superiors, a phenomenon accounted for by such theoretical
explanations as social desirability, self-enhancement or self-serving (see Allen et al.
2000).
Research suggests that although self and supervisor ratings of OCB may be
moderately correlated (r=.35, p<0.01inKhalidandAli2005) or not significantly
correlated (Allen et al. 2000), means for self ratings of OCB as a general concept
(Khalid and Ali 2005;Ariani2012)orsomedimensionsofOCB(altruismand
courtesy in Allen et al. 2000) are significantly higher. Similarly, Cardona and
Espejo (2002) found significantly higher means for subordinate and self ratings of
OCB than for colleague ratings. In their meta analysis, Meyer and colleagues (2002)
also found higher correlations between OCB and affective commitment for self ratings
(ρ=0.37) than for supervisor ratings (ρ=0.27).
However Organ and Ryan argued that using supervisor/peer reports for measuring OCB,
too, involves bias, as supervisors or peers sometimes fail to notice certain citizenship behav-
iors. Research findings suggest that managers view citizenship behaviors as a required part of
employeesjobs (Podsakoff et al. 2000). More importantly, superiors may only observe OCB
that is performed in their presence, which may result in a lowering of the scores in superior
ratings of OCB. Using supervisor/peer reports for measuring OCB may thus result in lowered
correlations.
74 (88 %) of 84 studies included in our meta analysis used self reports for measuring
variables, which may bring about inflated correlations. It is therefore hypothesized that:
H
5
:OCOCB relationship will be moderated by the source of the ratings.
Specifically, relationships should be more strongly positive when the behaviors
are rated by job incumbents themselves (self rating) than when they are rated by
supervisors/peers.
Employ Respons Rights J
Publication Bias
Being unable to get a study published, a.k.a. file drawer problem, is one of the major problems
concerning meta analyses (Sutton et al. 2001: 142). It is a widespread belief that editors/
journals favor and prefer to publish studies reporting significant correlations or effects
(Rosenthal 1991 cited in Özcan 2008: 77). This belief may sometimes cause researchers to
include in their meta analyses only those published studies with significantly positive corre-
lations, so that meta analyses too may yield similar (significantly positive) results. The
argument that published findings are not representative of insignificant effects is referred to
as publication bias. This publication bias may inflate correlations/effect sizes (Eatough et al.
2011:622).
Eatough and colleagues (2011) investigated the relationships of role ambiguity, role
conflict, and role overload with OCB for published and unpublished studies and found that
unpublished studies yielded stronger effect sizes than did published studies. In their analysis of
48 studies from the Cochrane Database of Systematic Reviews, Sutton and colleagues (2000)
examined the missing studies and their effect on conclusions of metaa nalyses. They found that
about half of the sample had some indication of publication bias and a fifth had a strong
indication. Yet in most cases these biases did not affect the conclusions.
Based on extant literature and meta analyses (Sutton et al. 2000; Christian et al. 2011;
Eatough et al. 2011; Ilies et al. 2007) it is hypothesized that:
H
6
:OCOCB relationship will be moderated by publication bias. Specifically, relation-
ship should be more strongly positive in published studies than unpublished studies.
Organization Type (Public-Private)
There are certain major differences between public and private organizations. Firstly, goals and
objectives vary substantially (Metin and Altunok 2002: 86). Organizational culture in public
organizations is generally more bureaucratic and accordingly pay and reward systems tend be
based more on such factors as age, status, experience and seniority rather than performance
(Kalleberg et al. 2006). As long as they meet formal job requirements public employees
are entitled to full pay and privileges. As they are not latently or explicitly expected
to exceed task performance, public sector employees may be more prone to display
higher levels of OCB.
In contrast, private organizations promote performance based pay and reward systems.
Expected to perform better, employees tend to meet high performance expectations first, for
which they are entitled to formally specified benefits and privileges. For profit oriented private
sector managers the boundary between extra role and in-role performance may often be blurred
(Özdevecioğlu 2002). They might start expecting employees to display OCB as part of formal
job roles. As a result, private sector employees might be expected to display lower levels of
OCB than their public sector counterparts.
We could not find any studies in the extant literature testing the moderating effect of
organization type on the OC-OCB relationship. Yet, two distinct meta analyses examining the
relationship between emotional strain and role conflict vs. role uncertainty and OCB found that
organization type had a moderating effect and that employees in the public sector displayed
higher levels of OCB (Chang et al. 2007; Eatough et al. 2011).
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Studies comparing OC and OCB levels of public vs. private sector employees generally
reported higher levels of OC for private sector employees. For instance, Buchanan (1974)
reported lower levels of OC for public sector managers and a study carried out in Turkey
(Kaya 2008) found higher levels of OC for private sector and private bank employees
respectively. In contrast, in two studies carried out in India, public employees were found to
display higher OCB than private sector employees (Pal and Dasgupta 2012; Sharma et al.
2011).
Therefore we hpothesized that:
H
7
:OCOCB relationship will be moderated by the type of organization (public vs.
private) in which studies were carried out.
Cultural Differences
After Hofstedes seminal research program around 1980s, culture has started to play a more
central role in organizational behavior literature (Gelfand et al. 2007) rendering the general-
izability of theories developed and research carried out in western organizational environments
to non-western settings questionable.
Referring to culture as the Bcollective programming of the mind^(Hofstede et al. 2010:6),
Hofstede defined five dimensions along which cultures are different: individualism vs. collec-
tivism, power distance, uncertainty avoidance, masculinity vs. femininity, and long vs. short
term orientation. Individualism vs. collectivism is about whether individual or collective
values are prevalent in a society. In individualist cultures group values are less important
whereas in collectivist cultures there is a stronger drive for the group (Hofstede et al. 2010).
Taking into account the influence of culture on individualsbehaviors, attitudes and
reactions, cultural differences can be expected to have a significant effect on employeesOC
and OCB too.
In a meta analysis involving studies from 14 countries, Jaramilloa and colleagues (2005)
showed that cultural differences had a moderating effect on the relationship between job
performance and OC and the relationship was stronger in collectivist cultures.
In another meta analysis, Meyer and colleagues (2002) found a stronger relationship
between normative commitment and OCB in studies conducted outside North America (ρ=
0.37 vs. ρ=0.10). The same was true for correlations involving affective commitment (ρ=0.46
vs. ρ=0.27). Similarly, Wasti (2003) and Cheng and Stockdale (2003) found that the relation-
ship between normative commitment and tendency to stay in the organization was stronger in
collectivist cultures.
In the literature on the effects of cultural differences on OCB individualism vs.
collectivism and power distance are the most commonly studied dimensions. Yet the
strong relationship between these dimensions and the resulting potential
multicollinearity problem may complicate their use in a single study (Rockstuhl et al.
2012;Shaoetal.2013). Therefore we preferred to focus on the moderating effect of
individualism vs. collectivism alone in our meta analysis.
We classified individual studies according to individualism vs. collectivism index of the
country as specified by Hofstede and colleagues (2010; Geert-hofstede [web], 2013). For our
analysis countries were classified as either individualist or collectivist. For instance Turkey,
with an individualism index value of 37 was classified as a collectivist country.
Employ Respons Rights J
Therefore we hypothesized that:
H
8
:OCOCB relationship will be moderated by the culture dimension of individualism
vs. collectivism of the country the study was carried out. Specifically, relationship should
be more strongly positive in studies carried out in a collectivist, compared to individualist,
cultural context.
Method
Literature Search
Published and unpublished studies were included in the meta-analysis. Literature
search was carried out in 16 international databases (Academic Search Complete,
Business Source Complete, EBSCO, Emerald, ERIC, DOAJ, IEEE Xplore Digital
Library, JSTOR, PsycINFO, Sage Journals Online, Science Direct, Springer Link,
Taylor and Francis Online Journals, Wiley Online Library, Web of Knowledge, Web
of Science) and one national (Turkish ULAKBIM) using a variety of related key
words (e.g., organizational commitment, extra-role behaviour, organizational citizen-
ship) both in Turkish and English. Popular internet search engines (Google, Google
Scholar and Yandex) were also used.
In order to locate full-text unpublished masters theses and doctoral dissertations,
Theses and Dissertations Databases of Turkish Council of Higher Education (YOK
TVT) and ProQuest were searched. For those theses/dissertations without authors
approval for full text accessibility different solutions were tried. One mastersthesis
was found in library catalogues (Loğa2003). To access other theses/dissertations,
either the author or advisor was contacted. One author sent an electronic copy of his
thesis in one week (Akbaş2010). To access unpublished manuscripts in Turkish,
Proceedings of 13 National Management and Organization Congresses held between
2000 and 2012 were searched and authors of studies that had carried out research on
related/similar topics were contacted to see if they had any unpublished studies or
research in progress.
Inclusion Criteria
Only those studies that reported a correlation coefficient or presented data that could be used to
compute a correlation coefficient were included in our analysis. Another inclusion criterion
required that the particular study investigate the relationship between OCB as a general
construct or OCB factors and OC as a general construct and its three factors suggested by
Meyer and Allen (1991) (affective, continuance and normative commitment). Only those
studies with a sample that worked either full or part-time in an organization were selected.
Two studies that had students as their sample were not included. If two distinct studies used the
same sample, only one was included.
No effective limit was set for studies with a Turkish sample. Of studies with a
non-Turkish sample, only those made in and after 2005 were included. Because the
meta analysis by Dalal (2005) of the relationship between the very same variables
covered that sample.
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Coding and Results of Searches
Information and data from selected studies were coded in a form developed by researchers.
Two coders worked independently to code the data. One of the coders was the third author of
the present study and the other was a PhD candidate in the field of organizational behavior.
Overall agreement level between coders was 95.84 %. All disagreements were resolved using
a subsequent joint discussion.
We used Hunter and Schmidts(2004:479487) and Cards(2012:6481) studies as
models in developing the coding form which had four sections; the first section involved
information about the study and the sample. Information about the instruments was coded in
the second section of the form. Correlation coefficients and statistical data that can be used to
compute a correlation coefficient (e.g., t-test or ANOVA values) were coded in the third section
and finally potential moderator variables were coded in the last section. We identified four
potential moderator variables: rating source, type of organization (public vs. private), publi-
cation bias and culture dimensions of individualism vs. collectivism.
86 independent samples (N=27,640) were identified from 84 studies. Two studies (Felfe
and Yan 2009 and Rajashi et al. 2012) had been carried out with two independent samples. Of
86 samples, 65 were from published studies; the remaining 21 were from conference presen-
tations, posters, unpublished dissertations, masters theses, and data sets. The overall sample
size was 27,640 (mean: 321). 31 of the samples were Turkish (N=8752, mean: 282) and 55
comprised non-Turkish respondents. Characteristics of the sample in terms of particular
variables are provided in Table 1.
Tab l e 1 Demographic and other characteristics of primary sample respondents
Characteristic Samples or percentages of primary samples with the characteristic
Country Number of samples
Turkey 31 (36 %)
United States 15 (17 %)
Iran 8 (9 %)
Israel 5 (6 %)
Pakistan 3 (3 %)
Canada 4 (5 %)
Other (14 countries with 2 or less samples) 20 (24 %)
Publication bias Number of studies
Published studies 63 (75 %)
Unpublished theses 21 (25 %)
Rating source Number of samples
Self report 75 (87.82 %)
Supervisor/peer report 11 (13.18 %)
Culture dimensions
Collectivism 57 (68.74 %)
Sector in which surveyed
Public 35 (40 %)
Private 47 (55 %)
Not specified 4 (5 %)
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Procedure
Meta-analytic procedures specified by Hunter and Schmidt (1990) were used to correct
correlations to account for the effects of sampling error. Correction for unreliability was
performed for each individual sample.
In those studies that reported correlation coefficients between variables no further compu-
tation was made. Some studies reported ttest or F-test values. These values were converted to
correlation coefficients using the method suggested by Hunter and Schmidt (2004)andthe
formula suggested by Card (2012). For finding fail-safe N and Q-test, Cohens d value was
converted to correlation coefficient (r) using the formula suggested by Borenstein and col-
leagues (2009:77).
For each relationship between our variables, uncorrected weight sample-size correlation
coefficient values () were found by means of sample size and observed (uncorrected)
correlation coefficients using the formula suggested by Hunter and Schmidt (2004:81).
Using the formula suggested by Borenstein and colleagues (2009: 343) instrument related
errors were corrected and corrected correlation values (ŕ) were found. When a reliability
estimate was not provided for a measure in an individual primary sample, however, the
correction was accomplished using the mean reliability from the reliability distribution
generated from the primary samples (Chan et al. 2008: 365).
Next, using the formula suggested by Borenstein and colleagues (2009: 343) corrected
mean correlation coefficients (corrected mean effect size, ρ) were found. Standard error for the
ρvalue was found using the formula suggested by Hunter and Schmidt (2004: 206). Formulas
suggested by Hunter and Schmidt (2004: 94; 167) were used to find instrument and sampling
error variances, consequently making up the total error variance. Total error variance was
found using the formula suggested by Borenstein and colleagues (2009:348).
B75 % rule^was used to test potential moderator effects and the BQ-test^based on Hunter
& Schmidtsformula(2004: 421) was employed to validate the results.
Eighty percent credibility interval and 95 % confidence interval were used. SDSρvalue was
found by using Borenstein and colleaguesformula and 80 % credibility interval was found by
using Hunter and Schmidts(2004: 205) formula. Ninety-five percent confidence interval was
used for examining the accuracy of the meta-analytic effect size estimate. Homogeneity of
effect sizes was assessed using 80 % credibility intervals.
Corrected mean effect size (ρ) for 95 % confidence interval was found using the formula ρ±
1.96SEρ. Hunter and Schmidtsformula(2004: 206) was used to find Standard Error. Fail-safe
number was found using Orwins(1983:158)formula.
Total error variance and Q-test (when needed) findings were used for moderator effect
analyses. Microsoft Excel application (Meta-Analysis Mark X) was used for analyses (Steel
[web], 2012).
Findings
Results of the meta-analysis on the relationship between general constructs and facets of OC
and OCB are provided in Table 2.
The sample-size-weighted mean correlation between OC and OCB-G refers to a
moderateley strong relationship (=0.40). After correcting for unreliability in both OC and
OCB, the sample-size-weighted mean correlation was (ρ=0.49). Both 80 % credibility interval
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and 95%confidence intervals, based on the uncorrected correlations, indicated that the rela-
tionship was significant.
The relationship between OC and the two facets of OCB was also strong. After correcting
for unreliability, the sample-size-weighted mean correlation between OC and OCB-I(ρ=0.40);
and OCB-O (ρ=0.50) were also significant. OCB facets assessed together, relationship was
strongest between OC and OCB-O in both samples (ρ=0.50).
The analysis of the relationship between OC-Aff. (affective commitment) and three OCB
facets showed that relationship was strongest between OC-Aff. and OCB-O (ρ=0.37).
The relationship between normative commitment (OC-Norm) and three facets of OCB was
moderate. Sample-size-weighted mean correlations were OC-Norm.-OCB-G (ρ=0.33), OC-
Norm.-OCB-I (ρ=0.31) and OC-Norm.-OCB-O (ρ=0.35) respectively. Lower and upper
limits of 80 % credibility interval and 95 % confidence intervals, based on the uncorrected
correlations, indicated that the relationship was significant. This relationship is strongest for
OC-N and OCB-O (ρ=0.35).
Relationships between continuance commitment and all facets of OCB were positive and
higher than expected. Corrected sample-size-weighted mean correlation value was (ρ=0.20)
for the relationship between OC-Cont. and OCB-G, (ρ=0.16) for the relationship between OC-
Cont. and OCB-I and (ρ=0.17) for the relationship between OC-Cont. and OCB- O. But since
80 % credibility interval lower limit values were negative, relationships were not significant. It
is important to note that lower limits for the 95 % confidence interval were positive but still
Tab l e 2 Meta-analytic correlation matrix for behavior facets
OCB-General OCB-Individual OCB-Organizational
OC 0.40 (0.49)a 0.34 (0.40)b 0.42 (0.50)c
OC-Affective 0.29 (0.37)d 0.25 (0.32)e 0.29 (0.37)f
OC-Normative 0.25 (0.33)g 0.24 (0.31)h 0.27 (0.35)i
OC-Continuance 0.15 (0.20)j 0.11 (0.16)k 0.12 (0.17)l
Correlations are weighted by sample size (N). Those outside parentheses are correlations uncorrected correlations
(i.e., mean r); those in parentheses arecorrected for unreliability (i.e., mean ρ). k=number of samples in which
relationship was estimated; N=total number of individuals in the ksamples; Mean r=mean of uncorrected
correlations, weighted by sample size (N); Mean ρ=mean of corrected correlations, weighted by sample size (N);
SDρ=standard deviation of correctedcorrelations; 95 % CI=lower and upper limits of 95 % confidence interval;
80 % CrI=lower and upper limits of 80 % credibility interval; OCB=organizational citizenship behavior; OC=
organizational commitment
ak=39, N= 13,134, SDρ=0.18, 80 % CrI=(0.260.72), 95 % CI=(0.430.55)
bk=11, N = 3977, SDρ=0.27, 80 % CrI=(0.050.77), 95 % CI= (0.240.56)
ck=11, N = 3982, SDρ=0.23, 80 % CrI=(0.200.81), 95 % CI=(0.360.65)
dk=40, N= 11,354, SDρ=0.20, 80 % CrI=(0.110.63), 95 % CI=(0.300.44)
ek=27, N=8942, SDρ=0.17, 80 % CrI=(0.100.54), 95 % CI=(0.250.39)
fk=26, N=8931, SDρ=0.20, 80 % CrI=(0.130.64), 95 % CI=(0.310.47)
gk=30, N= 7618, SDρ=0.22, 80 % CrI=(0.260.61), 95 % CI=(0.240.41)
hk=18, N= 5370, SDρ=0.15, 80 % CrI=(0.040.50), 95 % CI=(0.230.39)
ik=18, N=5370, SDρ=0.18, 80 % CrI=(0.120.59), 95 % CI=(0.260.44)
jk=26, N=7052, SDρ=0.24, 80 % CrI=(0.100.51), 95 % CI = (0.110.30)
kk=17, N=5510, SDρ=0.14, 80 % CrI=(0.020.33), 95 % CI=(0.080.23)
lk=18, N=6209, SDρ=0.21, 80 % CrI=(0.100.43), 95 % CI = (0.060.27)
Employ Respons Rights J
very close to (0) and standard deviation of corrected correlations were high. Therefore we
concluded that relationships were not significant.
Based on results, hypotheses H
1
,H
2
,H
3
(
a,b,c
)andH
4
(
a,b,c
) were accepted.
Moderator Analyses
Four moderators of the OC-OCB relationship were analyzed. According to the hypotheses, the
four set of moderator variables (source of ratings, publication bias, type of the organization and
culture dimension of individualism vs. collectivism) would have a significant effect on the
strength of the relationship between OCOCB.
Table 3shows the results of moderator effect analysis for rating source on OC-OCB
relationship.
Table 3shows that, like hypothesized, OC-OCB relationship is stronger for incumbent
ratings (self report) than for supervisor/peer ratings. Corrected sample-size-weighted mean
correlation between OC and OCB was (ρ=0.37) for supervisor/peer ratings and (ρ=0.51) for
self ratings. Based on our findings, hypothesis H5 was accepted.
Results of the moderator effect analysis for publication bias on OC-OCB relationship are
provided in Table 4.
The moderating effect of publication bias was significant only on the relationship between
normative commitment (OC-Norm.) and OCB. As hypothesized, the relationship between OC-
Norm. and OCB is stronger in published studies (ρ=0.37) than in unpublished studies (ρ=
0.26). There was not a significant moderator effect on the relationship between other OC facets
and OCB-G. Because, as can be seen in Table 4, lower and upper limits of 95 % confidence
interval are close and means of SDρfor published/unpublished studies are not lower than SDρ
mean values before grouping. Besides, contrary to our expectations, the relationship between
OC.Cont.-OCB is stronger for unpublished studies (ρ=0.23) than published studies (ρ=0.19).
Therefore hypothesis H
6
was rejected.
Table 5shows results of moderator effect analysis of organization type on OC-OCB
relationship.
The moderating effect of organization type (public vs. private) on the OC-OCB relationship
was significant. Corrected sample-size-weighted mean correlation between OC and OCB for
private sector employees (ρ=0.54) was stronger than for public sector employees (ρ=0.44).
Therefore hypothesis H
7
was accepted.
Tab l e 3 The moderating effect of rating source
kN ρSD
ρ
80 % CrI 95 % CI
Lower Upper Lower Upper
OC-OCB Supervisor/Peer 3 1579 0.32 0.37 0.14 0.19 0.54 0.20 0.53
SD
ρ
=0.18* Job incumbent (Self) 36 11,555 0.42 0.51 0.18 0.28 0.74 0.45 0.57
OC-Aff.-OCB Supervisor/Peer 3 862 0.16 0.20 0.12 0.04 0.35 0.04 0.35
SD
ρ
=0.20* Job incumbent (Self) 37 10,492 0.30 0.39 0.20 0.13 0.64 0.32 0.45
k; number of samples in which relationship was estimated,N;total number of individuals in the ksamples, ;mean
of uncorrectedcorrelationsweighted by sample size, ρ;mean of corrected correlations, weighted by sample size,
SDρ=standard deviation of correctedcorrelations; 95 % CI=lower and upper limits of 95 % confidence interval;
80 % CrI=lower and upper limits of 80 % credibility interval
Employ Respons Rights J
Results of the analysis for the moderator effect of culture dimension of individualism vs.
collectivism on OC-OCB relationship are provided in Table 6.
The moderating effect of individualism/collectivism on the relationship between OC and
OCB was significant. Therefore hypothesis H
8
was accepted. Corrected sample-size-
weighted mean correlation for OC-OCB relationship was significantly higher in
indivudualist cultures (ρ=0.57) than that in collectivist cultures (ρ=0.46) whereas
the relationship between OC-Affective, OC-Normative and OC-Continuance and
OCB was stronger in collectivist cultures than in individualist cultures.
Tab l e 4 The moderating effect of publication bias
kN ρSD
ρ
80 % CrI 95 % CI
Lower Upper Lower Upper
OC-OCB Published 27 10,702 0.42 0.52 0.17 0.30 0.73 0.45 0.58
SD
ρ
=0.18 Unpublished 12 2456 0.34 0.41 0.22 0.13 0.69 0.28 0.54
OC.Aff.-OCB Published 24 7833 0.30 0.39 0.18 0.15 0.62 0.31 0.46
SD
ρ
=0.20 Unpublished 16 3521 0.27 0.34 0.24 0.04 0.64 0.22 0.46
OCNor-OCB Published 17 4754 0.28 0.37 0.25 0.05 0.69 0.25 0.50
SD
ρ
=0.22 Unpublished 13 2864 0.21 0.26 0.16 0.05 0.46 0.16 0.35
OC.Cont-OCB Published 15 4544 0.14 0.19 0.27 0.15 0.53 0.05 0.33
SD
ρ
=0.24 Unpublished 11 2508 0.18 0.23 0.17 0.01 0.45 0.12 0.34
k; number of samples in which relationship was estimated,N;total number of individuals in the ksamples, ;mean
of uncorrectedcorrelationsweighted by sample size, ρ;mean of corrected correlations, weighted by sample size,
SDρ=standard deviation of correctedcorrelations; 95 % CI=lower and upper limits of 95 % confidence interval;
80 % CrI=lower and upper limits of 80 % credibility interval
Tab l e 5 The moderating effect of organization type
kN ρSD
ρ
80 % CrI 95 % CI
Lower Upper Lower Upper
OC-OCB Public 20 5599 0.36 0.44 0.19 0.19 0.68 0.35 0.52
SD
ρ
=0.18 Private 17 6670 0.43 0.54 0.16 0.33 0.75 0.46 0.62
OC-Aff.-OCB Public 1648170.250.330.18 0.10 0.55 0.24 0.42
SD
ρ
=0.20 Private 21 5703 0.34 0.43 0.21 0.16 0.70 0.33 0.52
OC-Nor-OCB Public 11 2881 0.26 0.35 0.26 0.01 0.68 0.19 0.51
SD
ρ
=0.22 Private 16 3826 0.27 0.34 0.21 0.07 0.61 0.23 0.45
OC-Cont-OCBPublic 1129580.100.140.290.23 0.52 0.03 0.32
SD
ρ
=0.24 Private 15 4094 0.19 0.25 0.17 0.04 0.46 0.16 0.34
k; number of samples in which relationship was estimated,N;total number of individuals in the ksamples, ;mean
of uncorrectedcorrelationsweighted by sample size, ρ;mean of corrected correlations, weighted by sample size,
SDρ=standard deviation of correctedcorrelations; 95 % CI=lower and upper limits of 95 % confidence interval;
80 % CrI=lower and upper limits of 80 % credibility interval
Employ Respons Rights J
Discussion
The present meta analysis estimated the relationship between OCB and OC at both general
construct and facet levels and assessed moderators of this relationship.
Based on 86 independent samples (N=27,640) from 84 studies, we found moderately
strong to strong relationships between general constructs of OCB and OC and their facets.
Especially the relationship between OC and OCB as general constructs; and the relationship
between OC and OCB-O were relatively stronger. At facet level, relationship between affective
commitment (OC.Aff.) and organization-directed citizenship (OCB-O) was relatively stronger.
An exception was the relationship between continuance commitment (OC.Cont.) and OCB,
which was still positive but not significant. As employees display higher levels of commit-
ment, they have a greater tendency to direct those behaviors toward the organization as a
whole rather than individuals in the organization.
Our findings are consistent with findings of previous meta-analyses which reported signif-
icant positive correlations between OC and OCB (Podsakoff et al. 1996;LePineetal.2002;
Meyer et al. 2002; Riketta 2002;Dalal2005) but negative or insignificant relationships
between continuance commitment (OC.Cont.) and OCB (Meyer et al. 2002; Organ and
Ryan 1995; Podsakoff et al. 1996).
Four moderators of the OC-OCB relationship were tested: rating source, publication bias,
organization type and culture dimension of individualism vs. collectivism.
Moderator analysis showed that source of ratings had a significant effect on the OC-OCB
relationship. Most studies (76 %) included in our analysis used self reports of OCB. Such
concerns as social desirability and common method variance associated with self reports may
have resulted in inflated correlation coefficients (Spector 2006; Podsakoff et al. 2012).
Analysis results prior to rating source-based grouping support this claim, as mean value for
SDρ- supervisor/peer (0.14) and SDρ- self (0.18) is lower than the pre-grouping SDρvalue
(OC-OCB SDρ: 0.18). Thus we suggest that meta analyses, rather than studies using single
rating source, should incorporate a greater number of studies with various rating sources so as
to allow a more realistic assessment of the relationship between OCB and other constructs.
Tab l e 6 The moderating effect of ındividualism vs. collectivism
kN ρSD
ρ
80 % CrI 95 % CI
Lower Upper Lower Upper
OC-OCB Individualist 6 4189 0.45 0.57 0.05 0.50 0.64 0.52 0.63
SD
ρ
=0.18 Collectivist 33 8945 0.38 0.46 0.20 0.20 0.71 0.39 0.53
OC-Aff.-OCB Individualist 9 3269 0.19 0.25 0.13 0.08 0.42 0.15 0.34
SD
ρ
=0.20 Collectivist 31 8085 0.33 0.42 0.21 0.15 0.68 0.34 0.49
OC-Nor-OCB Individualist 7 1547 0.12 0.15 0.14 0.02 0.32 0.03 0.27
SD
ρ
=0.22 Collectivist 23 6071 0.29 0.37 0.22 0.08 0.65 0.27 0.47
OC-Cont-OCB Individualist 6 1542 0.01 0.01 0.16 0.21 0.19 0.15 0.13
SD
ρ
=0.24 Collectivist 20 5510 0.20 0.27 0.22 0.01 0.55 0.17 0.37
k; number of samples in which relationship was estimated,N;total number of individuals in the ksamples, ;mean
of uncorrectedcorrelationsweighted by sample size, ρ;mean of corrected correlations, weighted by sample size,
SDρ=standard deviation of correctedcorrelations; 95 % CI=lower and upper limits of 95 % confidence interval;
80 % CrI=lower and upper limits of 80 % credibility interval
Employ Respons Rights J
Findings on the moderating effect of publication bias show that whether a study has been
published or not has no significant effect on the relationship between OC and OCB or between
facets of both constructs, except on OC.Norm. and OCB relationship. As a result, we think it is
safe to argue that moderator effect of publication bias is slight and insignificant, a result
supporting previous evidence (Hauenstein et al. 2001; Eatough et al. 2011; Christian et al.
2011).
Moderator effect of organization type (public vs. private) on the OC and OCB relationship
was significant with a stronger OC-OCB relationship for private sector employees than for
public sector employees. Moderating effect of organization type on OC.Norm.-OCB and OC.
Cont.-OCB relationship was not significant.
Previous research comparing OC and OCB levels of public vs. private sector employees
found significantly higher levels of OC (Buchanan 1974;Kaya2008) and lower levels of OCB
(Pal and Dasgupta 2012;Sharmaetal.2011) for private sector employees. Our analysis
explored the moderating effect of sector type on the OC-OCB relationship and showed that
this relationship was moderated by sector type with a significantly stronger relationship in
private sector organizations.
Our analysis on the moderating effect of individualism vs. collectivism showed that
relationship between OC facets (OC.Aff., OC.Norm. and OC.Cont.) and OCB was stronger
in collectivist cultures than in individualist cultures. Interestingly enough, relationship between
OC-OCB as global constructs was stronger in individualist cultures than in collectivist
cultures, which is among the most noteworthy findings of our analysis. This finding conflicts
with findings of previous research (Dalal 2005; Meyer et al. 2002; Organ and Ryan 1995;
Riketta 2002) carried out in individualist cultural setting of North America. The high corre-
lation between OC-OCB in individualist cultures can be explained by the fact that only studies
after 2005 were included in our analysis (k=6) and one study (Albrecht 2012)(N=3437)
accounted for 82 % of the overall sample (N=4189) of the 6 studies in the analysis.
Implications for Theory and Practice
Our meta analysis showed that there were moderately strong to strong relationships between
general constructs and dimensions of OCB and OC with the exception of the relationship
between continuance commitment (OC.Cont.) and OCB, which was not significant.
Given the importance of OCB for more effective organizational functioning as well as a
plethora of desired organizational outcomes and the strong relationship between OC and OCB,
especially between OC.Gen. and OC.Aff. and OCB-O, a high level of employee commitment
is crucial for promoting extra role behaviors directed towards the organization as a whole and
individuals therein.
The primary finding of the present meta-analysis demonstrated that the relationship be-
tween organizational commitment and extra-role performance is rather straightforward. The
relationship between OC and OCB as general constructs and their facets are significantly
positive. Except for employees who feel that it is more costly to leave the organization,
employees who are committed tend to display higher levels of extra role behavior.
Based on our findings it can be argued that the relationship between organizational
commitment and citizenship behaviors is also highly contextual. Although findings do not
allow us to arrive at uniform conclusions as to the role of contextual variables, factors like the
type of the organization and individualist vs. collectivist orientation of the culture play an
important role in this relationship. Our meta-analysis showed that as expected, OC-OCB
Employ Respons Rights J
relationship was stronger for incumbent (self) ratings than for supervisor/peer ratings, and for
private sector employees than for public sector employees. Similarly, the relationship between
OC.Norm. and OCB was stronger in published studies than in unpublished studies. The
relationship between OC and OCB as general constructs was significantly stronger in
indivudualist cultures than in collectivist cultures. However, the relationship between three
OC facets and OCB was stronger in collectivist cultures than in individualist cultures.
The results of this meta-analysis have practical implications in two respects. First, the
results suggest that OC is a better predictor of OCB when: (a) performance is measured by
self-reports rather than supervisor-peer ratings; (b) private sector employees rather than for
public sector employees are targeted; and (c) collectivist cultures rather than individualist
cultures are studied. Second, with the same caveat, conditions (b) and (c) point to circum-
stances under which attempts to increase productivity through OC may be particularly
effective. The present findings cleariy illustrate Meyer et al.s(2002) contention that Bbut
what is needed is more systematic cross-cultural research in which relations among the
constructs are examined in the context of existing theories of cultural differences. Such
research would make a particularly valuable contribution to our understanding of commitment
in the global economy^(p. 44).
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... In order to be effective, leaders of organisations have the obligation to ensure that employees under them give their best and even go the extra mile (Chattopadhyay, 2017). Employee behaviours that are outside formal job requirements but help make the workplace better and thus contribute to unit functioning of the organisationa is called organisational citizenship behaviours (Cetin, Gürbüz & Sert, 2015;Organ, 1988). Delineating this, studies have shown that organisational citizenship behaviour (OCB) plays an important role in achievement of organisational objectives (Bolino, Turnley, & Bloodgood, 2002;Cetin et al., 2015). ...
... Employee behaviours that are outside formal job requirements but help make the workplace better and thus contribute to unit functioning of the organisationa is called organisational citizenship behaviours (Cetin, Gürbüz & Sert, 2015;Organ, 1988). Delineating this, studies have shown that organisational citizenship behaviour (OCB) plays an important role in achievement of organisational objectives (Bolino, Turnley, & Bloodgood, 2002;Cetin et al., 2015). Various scholars have defined OCB, but this study describes OCB in line with the definition given by Organ (1988), where OCB is defined as a discretionary behaviour of employees either towards his or her colleague or the organisation that ensures improvement of the organisational. ...
Article
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The study of leadership has continuously played a pivotal role in any organisational setting, and its importance cannot be overemphasized. This study however, examines if organisational citizenship behaviour of employees differs from strategic leadership skills, and the role of perceived organisational support. Cross-sectional research design using simple random sampling technique was employed. Structured questionnaire was administered to 150 participants of a public sector organisation in Lagos out of which 108 were deemed usable. The scale reliabilities are organisational citizenship behaviour (α = .78) and perceived organisational support (α = .84) showing internal consistency between the items. Analysis was done using analysis of variance analysis, two hypotheses were tested; the result revealed no significant differences between organisational citizenship behaviour of employees strategic leadership skills. Also, no significant difference was found after controlling for perceived support. The study, therefore, recommends that leaders of organisation needs to be strategic and have the required skills, as it is fundamental for organisational success. Also, the study recommends that government should give attention to strategic leadership skills that can improve organisational citizenship behaviour among employees in public sector organisations.
... There are several relationships between the constructs of organizational citizenship behavior and task performance (Miao, Humphrey & Qian, 2018), psychological capital (Gupta, Shaheen & Reddy, 2017), organizational trust (Yildiz, 2019), emotional intelligence (Miao, Humphrey & Qian, 2017), job satisfaction (Spector & Che, 2014), organizational commitment (Cetin, Gürbüz & Sert, 2015), leadership (Nohe & Hertel, 2017), motivational aspect (Singh & Srivastava, 2009), stressors (Eatough, Chang, Miloslavic & Johnson, 2011) absenteeism and turn over (Lee & Allen, 2002). ...
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Individual behavior that can increase organizational effectiveness is an essential aspect for organizations to achieve optimal performance. For this reason, there is a need for research that can contribute to improving individual behavior in producing its effectiveness. However, previous research has shown a theoretical gap in measuring individual trust and organizational citizenship behavior. In theory, to fill the gap, this study measures the influence of individual beliefs and organizational citizenship behavior. Researchers surveyed employees who work in the retail sector as many as 257 employees. The researchers used a structural equation modeling approach – PLS with predictive purposes to test the research model. The study results indicate that there is a positive influence on individual beliefs based on intention and individual beliefs on actions on organizational citizenship behavior. The study's implications indicate the need to increase the motivational aspect to increase individual confidence so that it will lead to behavioral actions that can increase organizational effectiveness.
... In the mediation model of Figure 1, self-rated performance and OCB (altruism toward individual employees) were added as dependent variables, because they are core organizational outcomes associated with both AC (see, e.g., Capozza et al., 2017;Cetin et al., 2015;Wang et al., 2019) and the KUT (e.g., Klein et al., 2014;Procházka et al., 2019). It should be noted that the use of the two measures of commitment allows us to provide evidence for the incremental validity of the KUT, which is expected to explain unique variance in the outcomes of the path analysis model (for the concept of incremental validity, see Haynes & Lench, 2003;Hunsley & Meyer, 2003). ...
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Theories of organizational commitment (OC) and related measures are the background of this work. A valid measure of OC, useful for its brevity and adaptability to different targets, was proposed by Klein and colleagues (the KUT; "Klein et al., Unidimensional, Target-free" scale). The goal of the present study was to test its validity in the Italian context. A sample of employees (N = 906), belonging to different organizations, was interviewed using an online questionnaire. Findings supported the unidimen-sional structure of the scale and its reliability. Furthermore, the KUT was invariant across occupational levels, genders, job seniority, and educational levels. Findings also showed its nomological validity: the KUT was associated, in the expected direction, with the constructs included in Meyer and Maltin's model of well-being. The incremental validity was demonstrated as well. Thus, findings proved the validity of the KUT's Italian version and provided support to Meyer and Maltin's model.
... OCB is the "individual behavior that is discretionary, not directly or explicitly recognized by the formal reward system, and that in the aggregate promotes the effective functioning of the organization" (Bateman, Organ, 1983, Organ,1988. It is sited (Spitzmuller et al., 2008;Cetin, Gürbüz, & Sert, 2015) that later on Organ realized, at the time of performance appraisal that OCB may be rewarded so Organ (1997) redefine and stated that OCB is "discretionary contributions that go beyond the strict description and that do not lay claim to contractual recompense from the formal reward system". Sulastini, Wijayanti and Rajiani (2023) focuses on Change-oriented OCB (COCB) in their study in Indonesia. ...
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Human behaviors have historically been thought to be the main drivers of organizational development. The focus of the day is on WPS, who exhibit charismatic traits, in order to improve organizational behaviors. The study's focus was on workplace spirituality (WPS), its relationship to organizational citizenship behavior (OCB), and the moderating role that organizational culture (OCl) plays. The method for gathering data was stratified random sampling. Four hundred and fifty-seven replies to an approved questionnaire that was sent to five hundred (500) teaching faculty members at various universities in Khyber Pakhtunkhwa, Pakistan, were obtained. AMOS Package-21 and SPSS have been used to find analytical results. The tool's validity and dependability were guaranteed. Every model fit index value was verified. The model's path coefficient has been illustrated and discussed, both with and without moderating and interaction variables. It was discovered that organizational culture plays a moderating effect in OCB and has a direct impact on WPS. The study's role in literature and industries defines its theoretical and practical implications. At the conclusion of this investigation, there are limitations and recommendations based on the findings.
... In recent years, researchers have increasingly considered the interplay of environmental, organizational, and attitudinal factors in influencing Organizational Citizenship Behavior (OCB) performance among employees (Bishop, Govindarajulu, & Daily, 2017;Yoon, Jang, & Lee, 2016). OCB is viewed as a multifaceted behavior influenced by organizational, environmental, and personality factors (Cetin, Gürbüz, & Sert, 2015). Turnipseed and Murkison (2000) describe OCBs as voluntary behaviors that enhance organizational functioning and foster creativity and innovation among employees. ...
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... In recent years researchers and practitioners have shown significant interest in the phenomenon of organizational commitment, usually defined as the relative strength of an individual's identification with and involvement in a particular organization (Mowday et al., 1982, p. 27) or a specific type of psychological bond between employees and the organization (Klein, Molloy, & Brinsfield, 2012, p. 137). This is due to the fact that organizational commitment has been linked to a number of important outcomes, including in-role and extra-role performance (Mathieu & Zajac, 1990;Riketta, 2002;Wright & Bonett, 2002;Cetin et al., 2015;Stanley & Meyer, 2016), turnover intention (Cohen, 1993), absenteeism (Gellatly & Hedberg, 2016), job satisfaction (Mathieu & Zajac, 1990), and well-being (Chris, Maltin & Meyer, 2016). Hence, for many organizations, hiring and retaining highly committed employees is a key component of their people management strategy to achieve business goals and build competitive advantage for companies (Kehoe & Wright, 2013, van Rossenberg, Cross & Swart, 2022. ...
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