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This is an earlier version of the manuscript published as:

Karam, C.M. (2011). Good Organizational Soldiers: Conflict-Related Stress Predicts Organizational Citizenship Behavior, International Journal of Conflict Management, 22:3, 300-319.

Good organizational soldiers:

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Abstract

Purpose: The purpose of this study is to examine employee behavior in times of conflict. We

examine the relationship between employee conflict-related stress and engagement in

organizational citizenship behavior. We further explore cohesiveness as a potential

cross-level moderator of this relationship.

Design: Survey data was collected as part of a larger study examining organizational citizenship

in the Middle East. During data collection armed conflict broke out in Lebanon. A

total of 553 employees working in 62 workgroups participated. Hierarchical liner

modeling was used to test the hypotheses.

Findings: Contrary to previous research, employees engaged in more OCB when they

experienced greater amounts of stress. This relationship is more pronounced in

cohesive groups than in non-cohesive groups

Research implications: The results extend our understanding of the stress-OCB relationship

within the context of conflict. Furthermore, these findings bring to light the

tremendous importance of paying attention to context and the nested-nature of human

behavior.

Practical implications: This study highlights that even under armed conflict; employees

continue to work and are willing to put in extra effort at work to help coworkers and

the organization in general.

Social implications: The results suggest that extraordinary times call for extraordinary efforts

and that employee often meet this challenge through their engagement in behaviors

that will contribute positively to the social-psychological environment of the

workplace.

Originality/value: The paper provides a unique examination of employee behavior in times of

conflict. It is a rare instance of fieldwork in conflict zones and it adds to the paucity of

research within the Middle East

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1.

Introduction

The study of stressors within the management literature has most often focused on those

which are work- or job-related (e.g., Beehr

et al.,

2000; Gupta and Beehr, 1979; Spector

et al.

,

1988), paying little attention to the influence of extraorganizational stressors (i.e., unexpected

external events that trigger unfavorable affective and behavioral reactions - Bhagat, 1983;

Hendrix

et al.,

1994; Hochwarter

et al.,

2008). Although there are some researchers who have

begun to examine the link between forms of extraorganizational stressors and employee behavior

(e.g., Byron and Peterson, 2002; Matteson and Ivancevich, 1979), these have largely been done

within the context of disaster research (e.g., Hurrican Katrina; September 11

th

). Little research

effort has focused on the subjective experience of conflict-related stressors and its impact on

employee behavior. Interestingly, however, this paucity of research is not proportional to our

unfortunate global reality. With a rising number of conflict and conflict-prone clusters around the

world (Gleditsch, 2002; Jamali and Mirshak, 2008; Polkinghom and Byrne, 2001), such research

may be an essential and fruitful area for research.

There are plenty of examples of conflicts in recent history spanning from acute conflicts

(e.g., intermittent civil unrest, violent anti-government protests) to those that are more sustained

(e.g., civil war, war between nations). Indeed, the constant threat of violence, sniper shootings

bombing, artillery fire, and other horrific particulars of conflicts are part of the day-to-day

realities within which millions of employees work, continue to report to work and engage in job

responsibilities. If one were able to peek inside these businesses, what would be observed? How

does the conflict shape employee behavior?

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East, make this region an ideal context within which to examine these types of questions. More

specifically for the current study, we examine employee subjective experiences of

conflict-related stressors within the context of conflict within the Republic of Lebanon. Data was

collected from 553 employees who continued to go to work during the 34-day military conflict

which occurred in July of 2006 between Hezbollah paramilitary factions and Israeli Defense

Forces. More specifically, we are interested in exploring how the subjective experiences of

conflict-related stressors during this conflict shape particular forms of employee behavior;

namely Organizational Citizenship Behavior or OCB (Organ, 1988, 1997). Our central research

question is:

What is the relationship between employee subjective experience of conflict-related

stressors and engagement in organizational citizenship behavior?

Furthermore, we examine this

relationship within the context of group-level cohesiveness.

2.

Literature review

2.1 Organizational citizenship behaviors

Three decades ago Organ and his colleagues (i.e., Bateman and Organ, 1983; Smith

et al.,

1983) coined the term organizational citizenship behavior to refer to

employee behavior that

contributes to the broader organizational, social, and psychological environment in the work

context. These behaviors tend not to be perceived as inrole or as part of an employee’s job and

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al.,

2009). Irrespective of the exact dimension of OCB, this type of employee behavior has been

a popular topic for researchers and managers largely due to its link to the enhancement of both

employee and organizational performance measures (Podsakoff and Mackenzie, 1997).

Much of the work on OCB to date has focused on empirically demonstrating the link

between OCB and its consequences at both the employee and organizational levels (see

Podsakoff

et al.,

2009 for a review). In addition to this, much work has also been done on

examining the antecedents of OCB and has included variables such as: employee attitudes,

dispositional variables, role perceptions, demographics, and more (see Podsakoff

et al.

, 2000 for

a review). Research using stress as an antecedent of employee OCB is of particular relevance for

the current study and will be explicated in the next section.

2.2 Subjective experiences of stressors and its relationship to employee behavior

Employee subjective experiences of stressors at work have been a popular topic for over a

century (Beehr

et al.,

2000; Edwards,

et al.,

2007; Fay and Sonnentag, 2002; Tidd and Friedman,

2002). Numerous studies have demonstrated that various forms of stressors impact employee

performance (see Gilboa

et al.,

2008; Tubre and Collins, 2000 for a metaanalysis).

A review of

the general stressor-performance literature suggests that employee perception, appraisal, and

response to stressors often lead to either: (1) an increase in negative employee behaviors (e.g.,

turnover, absenteeism, accidents- Spector, 2008) or (2) a decrease in positive performance (see

Chang

et al.

, 2007 for a summary and meta-analysis as well as Cropanzano

et al.,

2003; Hockey

and Hamilton, 1983; Jamal, 1984, 1985; Kahneman, 1973; Lambert

et al.,

2008; LePine

et al.

,

2005).

This negative relationship seems to hold for a number of stressors including: role

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family spillover; and finally

acute stressors

(e.g. natural disasters, homicide within the

workplace). It is this last category that is particularly important for the current study as it is

within this category that our key antecedent variable - conflict-related stressors - would fall.

Research on the subjective response to the acute stressors within the workplace also

suggests a general negative effect (e.g., Harvey and Haines, 2005; Sugden and Katchmar, 2005).

Byron and Peterson (2002), for example, examine the impact of an acute stressor (i.e., subjective

experience of the September 11th attacks) on employee behavior. Their results suggest that the

perceived stress was positively related to absenteeism. Is this sort of relationship also expected

between the subjective experience of conflict-related stressors and employee behaviors? More

specifically, what is the expected relationship between an employee’s subjective experience of

conflict-related stressors and his/her engagement in OCB?

2.3

Subjective experience of conflict-related stressors and OCB

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conclude that “most authors agree that the primary psychological effects of [conflict] are to

create feelings of stress” (p. 505) which elicits various behavioral responses.

The subject experiences of conflict-related stressors can manifest in various spheres of

peoples’ lives including the home and workplace (Warr, 1987). For example,

conflict-related

stress-home

may derive from a number of occurrences including death or injury of a loved one;

anxious or scared children; destruction of personal property; and/or financial insecurity.

Furthermore, c

onflict-related stress-work

may derive from pressure to be at work despite

bombings; pressure to keep things running despite conflict-related shortages; and/or generalized

uneasiness of colleagues at work. The suggestion we are making is therefore that individuals can

experience conflict-related stress from home (CRS-H) as well as conflict-related stress from

work

(CRS-W). The influence that these stressors have on employee performance of OCB is our

main focus.

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On the other hand however, there is some anecdotal evidence to suggest that in times of

conflict, individuals generally behave in prosocial ways (Perry and Lindell, 2003). In the context

of work this may suggest that employees may engage in OCB. In the section that follows we

briefly propose some theoretical mechanisms by which conflict-related stress increases employee

engagement in OCB.

3.

Theoretical mechanism for central hypotheses

There are a number of theoretical mechanisms that suggest a positive link between

conflict-related stress and OCB. First, at the most simplest level, anecdotal evidence suggests

that there is an increase in spontaneous acts of helping by strangers and mere acquaintances in

times of conflict (Helsloot and Ruitenberg, 2004; Perry and Lindell, 2003). Second, social

scientists have proposed that in conflict (when under threat); people tend to react by sticking

together (Brown, 2000; Levy, 1989; Munster and Staal, 2006). Similarly, Dahrendorf (1964)

suggested that conflict generates attitudes and behaviors that create internal cohesion. This

behavioral phenomenon has been referred to as the

conflict-cohesion hypothesis

(e.g., Boulding,

1962; Coser 1956; Mack and Snyder, 1957; Simmel 1955) and has been supported in empirical

studies (e.g., Markides and Cohn, 1982).

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Bettenhausen, 1990; Kidwell

et al.,

1997). This therefore suggests, contrary to most stress-OCB

relationships, a positive relationship between conflict-related stress and OCB.

Third and finally, drawing from Hobfoll’s (1989; 2001) Conservation of Resource

Theory, further support for a potentially positive relationship between the conflict-related stress

and OCB may be suggested. This theory centers on the basic principle that employees strive to

obtain, retain, foster, and protect resources (Hobfoll, 1989). Resources are entities that have

intrinsic or instrumental value, including objects (e.g. owning a house) conditions (e.g. being part

of a supportive social group, being employed), personal resources (e.g. having necessary

knowledge, skills and abilities), and energy resources (e.g., level or engagement, Hobfoll, 1989).

In times of conflict, individuals often experience a heightened threat of resource loss as well as a

heightened level of actual loss of resources (Hobfoll, 2001). For example, in conflict, threat and

loss may occur in terms of: the tools necessary for work (e.g., supplies, access to internet,

electricity, running water, colleagues, customers, etc.), personal health and safety, family health

and safety, in group security, financial and employment stability, feeling control over one’s own

life, feeling that life is peaceful, as well as many others.

As a result of the threat and the undermining of resources both at work and at home,

employees may experience conflict-related stress. This therefore will lead employees to

experience conflict-related stress. This conflict-related stress may in turn lead employees to

adopt various coping strategies in an attempt to compensate for the loss or threat of loss

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environment with the possibility of stability within the workplace. This substitution is of central

importance in this study as it sets the stage for an increase in employee engagement in OCB.

Attainment of workplace stability is sought as a replacement for the lost stability in the

external environment. In order to attain this stability an employee would likely become more

focused on fostering and protecting the functionality of, as well as the social harmony within, the

organization for which he/she works. To this end therefore employees would likely engage in

OCB. Following this logic therefore, I propose the following hypothesis:

Hypothesis 1

Conflict-Related Stress-Home will be positively related to the performance of

Organizational Citizenship Behavior by individual employees.

Hypothesis 2

Conflict-Related Stress-Work will be positively related to the performance of

Organizational Citizenship Behavior by individual employees.

4.

Contextualizing the central relationship within cohesive groups

Organizational and group context often is a powerful shaper of employee performance

(Rousseau and Fries, 2006). The within group characteristics create situational opportunities and

constraints (Johns, 2001) that may serve to moderate the hypothesized relationships described

above. It is important for researchers to attempt to examine management and employee related

phenomena from a cross-level or contextualized viewpoint (Louis

et al.,

2004; Rempel and

Fischer,

1997). Of particular interest for the current study is the contextual group-level variable

of

Cohesiveness

.

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Conservation of resource theory suggests further that one should not overlook the

significance of context as an important factor in the stress process. A person’s experience of

stress is primarily situated in a social context (Hobfoll, 1988). In general, for employees the

social context is the workgroup and therefore his/her experience of Conflict-Related Stress at

Work will be influenced by the characteristics of and dynamics within the group.

Application of the conservation of resource theory to explore the influence of work-group

characteristics on employee behavior may be a promising area for theoretical development. In

fact, this theory is useful in helping to explain influences of group characteristics on employee

behaviors in general. Hobfoll (2001) indicated that it is essential to consider the self not in a

vacuum but rather the “self-nested in family-nested in tribe” (354). This suggests that workgroup

characteristics and dynamics may serve to buffer or exacerbate the spillover from the conflict

thereby influences employee behavior. Following this logic therefore it is hypothesized that:

Hypothesis 3

The level of cohesiveness will moderate the relationship between individual level

conflict-related stress-work and the performance of OCB by individual

employees such that the more cohesive a workgroup the more likely an employee

scoring high on conflict-related stress-work will engage in OCB.

Hypothesis 4

The level of cohesiveness will moderate the relationship between individual level

conflict-related stress-home and the performance of OCB by individual employees

such that the more cohesive a workgroup the more likely an employee scoring

high on conflict-related stress-home will engage in OCB.

The complete cross-level model to be tested in this study is depicted in Figure 1.

5.

Specific research context

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war took place in Lebanon from 1975 until the early 1990s destroying much of its infrastructure

and resulting in large scale emigration of its population to other countries (InfoPro, 2006).

However, the period of time just before the conflict of interest for this study (between 1993 and

2006) was a generally a prosperous time of re-building and economic growth for the country.

In July 2006 a military conflict began in Lebanon and lasted 34-days. This conflict resulted

in large scale destruction of the country’s infrastructure, an air and naval blockade, the death of

over one thousand civilians, and displacement of approximately one million Lebanese (Amnesty

International, 2006; Lebanon Higher Relief Council, 2007). The economic and financial situation

of the country was also drastically affected by this conflict. Lebanon witnessed a doubling in

unemployment mainly in the service industry, and the physical destruction of around 150

medium sized businesses, 67 of which are restaurants (Hourani and Sensenig-Dabbous, 2007).

6.

Method

6.1

Participants

The sample consisted of 553 employees working in 62 workgroups drawn from the

Lebanese food service sector. The number of employees in each group ranged from four to 22

employees. The majority of the participants were between the ages of 18-30 (83.9%). Most of the

participants were male (71.6%), spoke Arabic as a first language (96.4%), attended or completed

an undergraduate degree (64.2%). The sample for this study was drawn from four of the five

Lebanese provinces with 36.9% of employees living in, and 38.5% of employees working in,

urban areas.

6.2

Procedure

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outbreak of the 2006 war instigated the collection of data concerning organizational citizenship

behavior in the context of armed conflict. The questionnaire was hand delivered to the

participants at work during working hours and was available in the English and Arabic.

Translation-back translation was done by professional translators. All participants chose to

complete the Arabic translation.

6.3

Measures

6.3.1

Organizational Citizenship Behavior

.

The specific OCB items used for this

study: (1) were derived from examples commonly cited in cross-cultural literature and (2) were

designed to include conflict related stems. The following four items derived from Williams and

Anderson (1991): “To what extent was your attendance at work above the norm despite the

bombing, the terror, and the difficulty traveling?”; “To what extent did you give advance notice

when unable to come to work?”; “To what extent did you help others who had been absent and

returned to work?”; as well as “To what extent did you take the time to listen to co-workers’

problems and worries?” After reading the following instructions: “

Beginning in early July of

2006, Israel attacked Lebanon. During this 33-day war many employees were attending work.

The following questions are designed to try to gain a better insight about your experience during

that period of time in order to provide contextual information for this study

” participants were

asked to rate each of the four items on a 5-point Likert-type scale ranging from

to a very small

extent

(1) to

a great extent

(5). The Cronbach's alpha for this scale was 0.73.

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your stress at work?; To what extent did the events of the war interfere with your work-related

activities and responsibilities?; and To what extent did you feel that your employment situation

was in jeopardy due to the Israeli attacks on Lebanon during the war? For CRS-H these items

were: To what extent did you feel personally threatened or distressed by the Israeli attacks on

Lebanon during the war?; To what extent did the war cause you feelings of personal

uncertainty?; and To what extent did the war affect you personally? Employees were asked to

make their ratings on a Likert-type scale ranging from

to a very small extent

(1) to

a great extent

(5) for each item.

Further statistics were estimated to assess the factorability of the overall six-item Scale.

A two-factor solution was theoretically expected and the factorability tests were significant

(KMO = 0.87 and

χ

2 =

994.35,

df

= 15, p < 0.000). This therefore provides strong support

concerning the appropriateness of conducting a factor analysis on these data.

From the output of

the principle components analysis (two factors specified), it appeared that a two factor solution

was appropriate accounting for 70.2% of the variance. To attain and examine simple structure, a

principle components analysis (two factors specified) with oblimin oblique rotation was

conducted. This rotation was utilized because CRS-W and CRS-H are expected to be correlated.

Examination of the pattern matrix revealed that all of the items loaded on their expected factor

(loadings > O.56) with no significant cross-loadings. Therefore, the expected factor structure of

Conflict-Related Stress was confirmed. Finally, the reliability estimate for the three items

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6.3.3

Cohesiveness. Measures of cohesiveness were collected from each employee

in all 62 workgroups. The specific items used to measure cohesiveness were adapted from

O’Reilly and Caldwell (1985) as well as Dobbins and Zaccaro (1986), and have been used in

previous research on the Organizational Citizenship Phenomenon or related constructs (e.g.,

George and Bettenhausen, 1990; Kidwell

et al.,

1997). The items were slightly modified so that

the referent for all items was also at the group level. Sample items include: “Sample items

include: “The employees in this group get along well together” and “The employees in this group

really stick together.” Therefore, all participants were asked to rate the level of cohesiveness in

their group

as a whole.

Five items were used to measure cohesiveness. All ratings by employees

were done on a 5-point Likert-type scale. The Cronbach's alpha for this scale was 0.77.

7.

Analysis issues and technique

7.1

Common method bias

Due to the fact that the data for the predictor, criterion, and moderation variables were

collected from the same respondent, concern about common method variance is raised.

Mackenzie

et al.

(2003) suggest that common method variance is problematic because the

variance is attributable to the measurement method rather than to the constructs the measures

represent. This therefore can cause systematic measurement errors that either increase or

decrease the observed relationships between constructs (Chang

et al.

, 2010). One method of

checking for such error is Harman’s single factor test (see Anderson and Bateman, 1997).

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two factors (two dimensions of OCB); the next five items loading on the third factor

(cohesiveness) and the final factor populated with all six stress items. The eigen values for the

first ten OCB items ranged from 0.48-0.81; for cohesiveness the range was between 0.55-0.71,

and for conflict-related stress the range was between 0.84-1.11). These results suggest that

common method bias was not an issue with this data set. If a single factor had emerged then

common method bias would have been more of a concern.

7.2

Hierarchical linear modeling

The main analysis technique for this study was Hierarchical Linear Modeling (HLM:

Byrk and Radenbush, 1992). HLM was used to test the proposed relationships because this study

proposes a series of hypotheses at different levels of analysis (individual or group): lower-level

direct (Hypotheses 1 and 2) and cross-level moderation (Hypothesis 3 and 4) relationships. All

level-1 predictors were rescaled using grand-mean centering (Hofmann, 1997). The choice of

centering for the final model (cross-level moderation) is explicated in the results section.

8.

RESULTS

8.1

Means, standard deviations, and intercorrelations

Table 1 provides the means, standard deviations, and intercorrelations for the variables

included in the HLM analysis.

8.2

Justification of aggregation: cohesiveness

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good support for the emergence of cohesiveness in the different groups with 44 of the 62 groups

having an rWG(j) ranging from 0.07 - 0.96. Klein

et al.

(2000) suggests that an rWG(j) 0.70 or

higher can be used to demonstrate emergence. Furthermore the concerning the between-group

differences, the omnibus ICC(2) and ICC(1) indices were calculated across all 62 groups where

the ICC(2) was equal to 0.63 (marginally significant) and the ICC(1) index was 0.16, where

F

(61, 486) = 2.67 was significant at the 0.01 level. However, due to the unequal number of

respondents in the groups, an adjusted ‘

n

’ was used in the calculation of the sum of squares upon

which the

F

-test is based (see Bliese and Halverson, 1998). Furthermore, in considering

measures of practical significance, ICC(1) is similar to omega square save that the independent

variable is “random” (Barnette, 2001) as is the case in this study. In line with this therefore,

ICC(1) can be used as an inferential statistic that assesses effect size. Following the

recommendations of Ukoummunne e

t al

. (1999) the measure of effect size for ICC(1) for

Cohesiveness was 2.27 which is above a value of 2.0 suggesting support for aggregation to the

group level (Muthen and Satorra, 1995).

8.3

Hypothesis testing using HLM

8.3.1

Testing conflict-related stress and OCB

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8.3.2

Testing crosslevel moderation of cohesiveness

Initial estimations (

null model

) in HLM indicates that there is systematic between group

variance in OCB whereby the interclass correlation coefficient (ICC) suggests that approximately

4.2% (0.029/[0.663+0.029]) of the total variance in OCB lies between groups and that this is

statistically significant (

00 = 0.029,

χ

2

[43] = 58.59,

p

=

0.05). The significance of this interclass

correlation coefficient (ICC(1)) is the first requirement for testing the cross-level moderating

effects hypothesized.

In addition to the interclass correlation coefficient (ICC(1)), and before testing for

cross-level moderation, I also examined whether there remains systematic cross-level 2 variance that could

potentially be explained by the addition of cohesiveness as a group-level predictor. The results of

this analysis suggest that the variance in the level 2 intercept residual parameter (

00) is

significant and therefore significant residual variance across groups remains to be explained (

00

= 0.03,

χ

2

(42) = 68.47,

p

<

0.01). Furthermore, as a final step in examining the preconditions, I

examined the variance estimates for the predictors’ slope parameters (

11). Based on this, I found

that these variance estimates (

11) were significant for the relationships of interest: CRS-W and

OCB (

11 = 0.055,

χ

2

[42] = 69.12,

p

<

0.002) and

CRS-H

and OCB

(

11 = 0.031,

χ

2

[43] = 74.61,

p

<

0.003). This suggests therefore that the final precondition for testing the cross-level

moderation relationships has been met.

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3 and 4). Following the recommendation of Hofmann

et al

. (2000), group mean centering was

utilized for the individual level predictors.

In these final models, I found that the parameter estimates were significant for only one

of the two cross-level moderation relationships hypothesized. That is, the cross-level moderation

of cohesiveness on the relationship between CRS-W and OCB (

11 = -0.38,

se

= 0.15,

t

(42) =

-2.46,

p <

0.05) was found to be significant. To check the direction of this significant cross-level

interaction, the individual relationships for high- and low-cohesion were plotted using the

procedure recommended by Aiken and West (1991) and outlined by Choi (2006, see Figure 2).

Here two separate regression analyseis were conducted on individuals who belonged to:

(1) cohesive groups (i.e., 1 SD above the mean and then (2) less cohesive groups (i.e., 1 SD

below the mean). Examination of the regression lines reveals, in general, a positive relationship:

that group members exhibit more OCB when they experience higher levels of CRS-W. This

relationship, however, is more pronounced in cohesive groups than in less cohesive groups. This

therefore suggests that stress due to the conflict is more likely to enhance engagement in OCB in

cohesive groups than in non-cohesive groups. An indication of the strength of this moderation

can be estimated with the calculation of R

2

which indicated that cohesion accounts for 36.6% of

the variance in the relationship between CRS-W

and OCB.

9.

Discussion

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conflict-prone regions are increasingly becoming a context for multinational corporation to conduct

business (Jamali and Misjhrik, 2009). Conflict as a context of business and organizational

behavior, in particular, has been neglected for representation in the empirical literature, yet as

noted in the introduction conflicts and are widespread. The key contributions, therefore, that this

study makes to the organizational literature is that: (1) it is a rare instance of research examining

employee behavior in times of conflict; (2) it suggest and supports a counterintuitive relationship

between stress and employee engagement in OCB; (3) it suggests, within the framework of

conservation of resource theory, the resource substitution of “stability” for “instability”; and (4)

it adds to the paucity of research on OCB in the Middle East.

9.1

Conflict-related stress and OCB

The findings from this research, although in support of the predicted hypotheses, are not

what would be expected based on the literature linking stressors to OCB or other forms of

positive employee behavior. Our results suggest that in times of conflict, employees are more

likely to engage in OCB. This seems to be the case not just for employees who experience

conflict-related stress derived from work but also those who experience stress from home

Previous research on the relationship between stress and citizenship would have suggested

otherwise. This brings to light the tremendous importance of paying attention to context and the

nested-nature of human behavior (Hobfoll, 2001; Johns, 2006, Rousseau and Fried, 2005).

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For example, theoretically both dimensions of Williams and Anderson’s (1994) model of

citizenship behaviors (i.e., OCB-O and OCB-I) contribute to promoting or reestablishing a stable

social and psychological work environment. That is, those OCBs directed and the organization

(i.e., OCB-O) may serve well to protect against further organizational-level resource loss. For

example, when, during times of conflict, an employee may attempt to protect against further

organizational- level resource loss by attending work above the norm (triple shifts, extra

uncompensated hours) despite airstrikes and resultant threat to safety and difficulty traveling.

Furthermore, those OCBs directed at other people (i.e., OCB-I) in times of conflict may serve

well to promote social harmony and social support within the workplace and therefore may serve

to replenish depleted

resource reservoirs

. For example, helping others as well as listening to

co-worker problems and worries may restore and build up entire resource reservoirs (Hobfoll,

2002). Ultimately, it would seem that extraordinary times call for extraordinary caring and that

employees often meet this challenge through their engagement in behaviors that will contribute

positively to the social-psychological environment of the workplace.

9.2

Limitations

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Furthermore, males were overrepresented in the sample (71.6%) which does not reflect the

general working population in Lebanon. Finally, 83.9% of the sample was between the ages of

18 and 30 and therefore this age group may have been overrepresented in the sample. Issues

regarding the generalizability of findings to other conflict areas are also important to consider.

Although the variables comprising the conflict are frequently experienced by people living under

such duress in any country, Lebanon is nonetheless a specific socio-cultural context with unique

considerations. Therefore, the results may not be generalizable to conflict areas.

Further research in times of conflict in the area of organizational behavior is direly

needed in order to fill the apparent research gap. This will also provide a basis to further

understand the unique forms of proactive engagement of employees even in conflict zones. One

point of caution in pursuing this research line further, is that researchers need to consider the line

between voluntarily citizenship behaviors and behaviors that are exhibited so as to ensure

continuity of employment. In times of economic and socio-political instability, engagement in

OCB may be more a matter of fearing job loss or fearing organizational closure than it is a matter

of voluntary citizenship.

10.

References

Amnesty International. (2006). “Israel/Lebanon under fire: Hizbullah’s attacks on northern

Israel”, available at: http://web.amnesty.org/library/index/engmde020252006 (accessed

July 2, 2007).

Anderson, L.M. and Bateman, T. S. (1997). “Cynicism in the workplace: Some causes and

effects”.

Journal of Organizational Behavior

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Table 1.

Means, Standard Deviations, and Intercorrelations for Variables

Note. n= 402* p <0.05, ** p <0.01 One-tailed tests.

Mean

Std. Dev.

CRS-H

CRS-W

OCB

Cohesiveness

CRS-H

3.23

1.15

-

CRS-W

3.40

1.13

.66**

-

OCB

3.39

0.83

00.33**

0.27**

-

(30)

Table 2. Results of HLM estimated models for single and crosslevel relationships between

conflict-related stress, OCB, and Cohesiveness

Parameter

Estimates

Model

00 01 10 11 2 00 11

Null

L1: OCB

ij

=

oj +

r

ij

L2:

oj

=

00

+ U

oj

3.38

***

- - -

0.66

0.03

*

-

Random

-

Coefficient

L1: OCB

ij

-I

=

oj + 1j

(CRS-W)+ r

ij

L2:

oj

=

00

+ U

oj

3.37

***

-

0.22

***

- 0.56

0.01

0.05

**

L1: OCB

ij

–I

=

oj + 1j

(CRS-H)+ r

ij

L2:

oj

=

00

+ U

oj

3.38

***

-

0.25

***

- 056

0.02

**

0.03

**

ntercept-as-outcomes

L1: OCB

ij

=

oj + 1j

+ r

ij

L2:

oj

=

00

+

01

(COH

j

)+ U

oj

L2:

1j

=

10

+ U

1j

2.81

***

0.16

0.51

***

- 0.60

0.03

**

0.09

lope-as-outcomes

L1: OCB

ij

=

oj + 1j

(CRS-W)+ r

ij

L2:

oj

=

00

+

01

(COH

j

)+

02

(CRS-W)

+

03

(COH* CRS-W) + U

oj

L2:

1j

=

10

+

11

(COH

j

)+ U

1j

1.29 0.38

1.66

**

-0.38

*

0.63 0.02

0.05

**

Gambar

Table 1. Means, Standard Deviations, and Intercorrelations for Variables
Table 2. Results of HLM estimated models for single and crosslevel relationships between

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