SlideShare a Scribd company logo
1 of 20
Download to read offline
Nonprofit and Voluntary Sector Quarterly
1­–20
© The Author(s) 2017
Reprints and permissions:
sagepub.com/journalsPermissions.nav
DOI: 10.1177/0899764016685859
journals.sagepub.com/home/nvs
Article
Is It the Job or the Support?
Examining Structural and
Relational Predictors of Job
Satisfaction and Turnover
Intention for Nonprofit
Employees
Joshua R. Knapp1, Brett R. Smith2,
and Therese A. Sprinkle3
Abstract
We examine the relative efficacy of two theoretically distinct variables for
predicting job satisfaction and turnover intentions for workers in nonprofit
organizations. The first, perceived job characteristics, reflects the structure
of jobs in terms of autonomy, skill variety, task identity, task significance, and
feedback. The second, perceived organizational support, reflects the quality of
the employee–organization relationship. We collected data from 196 full-time,
nonprofit employees across two time periods, and we tested hypotheses using
hierarchical regression and relative importance analysis. Results emphasize the
significance of managing employees in a supportive manner and structuring jobs so
that employees can work autonomously.
Keywords
job characteristics, perceived organizational support, relative importance analysis, job
satisfaction, turnover intentions, job structure
1University of Wisconsin–Whitewater, WI, USA
2Miami University, Oxford, OH, USA
3Quinnipiac University, Hamden, CT, USA
Corresponding Author:
Joshua R. Knapp, College of Business and Economics, University of Wisconsin–Whitewater, 809 W.
Starin Road, Whitewater, WI 53190-1790, USA.
Email: knappjr@uww.edu
685859NVSXXX10.1177/0899764016685859Nonprofit and Voluntary Sector QuarterlyKnapp et al.
research-article2017
2	 Nonprofit and Voluntary Sector Quarterly 
Nonprofit organizations rely extensively on their full-time employees to achieve their
goals. Often, these employees are attracted to these kinds of organizations because of
their social missions and of the meaningfulness of their work (Macy, 2006). However,
there remain concerns about the ability of nonprofit organizations to retain qualified and
satisfied full-time employees (Light, 2000). Some of these issues are rooted in demo-
graphic trends such as the increasing number of Baby Boomers retiring from nonprofit
employment (J. L. Johnson, 2009). Other issues are related to the fact that nonprofit
organizations often have flat organizational hierarchies and scarce financial resources.
Consequently, they have limited ability to provide material extrinsic rewards such as
pay, benefits, and promotion (Handy & Katz, 1998; J. Johnson & Ng, 2016; Light, 2002).
Regardless of the reason, managing employee satisfaction and turnover under conditions
of economic scarcity is a critical contemporary concern (Nonprofit HR, 2016).
As an alternative to managing job satisfaction and turnover intentions through
expensive compensation and promotion-oriented human resource practices, we
explore a more holistic view of nonprofit employment that examines structural and
relational variables. From a structural perspective, we consider perceptions of core job
characteristics that reflect degrees of autonomy, feedback, skill variety, task identity,
and task significance (Hackman & Oldham, 1975). These kinds of perceptions are
judgments related to how tasks are organized. From a relational perspective, we con-
sider the perception of organizational support (POS). This kind of perception reflects
a judgment related to whether employees believe that their organization values their
contributions and cares about their individual well-being (Eisenberger, Huntington,
Hutchison, & Sowa, 1986). Interestingly, despite substantial theoretical differences
and bodies of empirical research that are distinct from each other, job characteristics
and POS are sometimes related to similar desirable employee outcomes (e.g.,
Humphrey, Nahrgang, & Morgeson, 2007; Kurtessis et al., in press).
Given nonprofit organizations’ practical need to manage under conditions of eco-
nomic scarcity, and given that job characteristics (a structural variable) and POS (a
relational variable) appear to be theoretically distinct predictors of desirable attitudes
and behaviors, we designed our research to explore two questions. First, do the percep-
tions of job characteristics and POS exhibit simultaneous predictive validity among
employees of nonprofit organizations for job satisfaction and turnover intentions?
Second, are perceptions of structural job characteristics or the perception of relational
POS the most robust predictor?
In our study, we seek to make several contributions. First, we develop and test a
more holistic understanding of nonprofit employment by bridging the research on
organizational job structures with the research on the employee-organization relation-
ship. More specifically, we examine and compare core job characteristics (structural)
and POS (relational) theories as potential explanations for predicting job satisfaction
and turnover for nonprofit employees. This contribution is particularly important
because both theories have been developed primarily in for-profit contexts and because
nonprofit and for-profit employment are dissimilar in a variety of ways (e.g., compen-
sation practices: J. Johnson & Ng, 2016; working conditions: Mirvis & Hackett, 1983;
and employee attitudes: Lee, 2016). Thus, we extend our understanding of how these
Knapp et al.	 3
theories generalize across different employment sectors. Second, we not only intro-
duce the concept of POS to the nonprofit literature, but we also provide evidence that
it is a particularly robust and important predictor of job satisfaction and turnover inten-
tions. Relative importance analysis revealed that POS explained significantly more
variance in the dependent variables than any of our other measures. This finding sug-
gests that nonprofit employees may care more about their relationship with their orga-
nization than they do about how their work is structured. Third, we examine the
discrete predictive validity for all five core job characteristics. Through a combination
of hierarchical regression and post hoc mediation, we found that autonomy had a
direct relationship with job satisfaction and an indirect relationship with turnover
intentions that was fully mediated by job satisfaction. No significant relationships
were found for the other four core job characteristics when POS was controlled for.
These findings are meaningful because they imply that, despite previous research sug-
gesting broad applicability of job characteristics theory, the context of nonprofit work
may prove to be a partial boundary condition.
Job Characteristics and POS as Predictors of Job
Satisfaction and Turnover Intentions
The Perception of Job Characteristics
Hackman and Lawler (1971) observed that structuring jobs to promote efficiency
through simplification and specialization (i.e., scientific management) can demotivate
employees. They theorized that certain job characteristics facilitate recognition,
responsibility, and growth, thereby benefiting employees by fulfilling higher order
needs. Building on this idea, Hackman and Oldham (1974, 1975) theorized that five
core job characteristics—skill variety, task identity, task significance, autonomy, and
feedback—may lead to positive individual-level outcomes. Each component repre-
sents a structural element in the overall design of a job that makes it more interesting
and engaging. For example, jobs with high skill variety let employees use multiple
personal competencies. Employees who work in jobs with high task identity perceive
that they are completing a whole and identifiable piece of work. Employees in jobs
with high task significance believe their work is important. High autonomy jobs pro-
mote responsibility and independence. And finally, high feedback jobs provide infor-
mation that helps employees determine whether they are performing the job well.
Furthermore, Hackman and Lawlor (1971), Hackman and Oldham (1974), and
Hackman and Oldham (1975) suggested that when a job is designed to include optimal
levels of these five characteristics, the employee experiences meaningfulness,
increased accountability, and self-actualization, resulting in intrinsic motivation to
produce optimal work performance. Numerous researchers have built on this work by
exploring how the characteristics link to improved attitudes, intentions, and motiva-
tion (Humphrey et al., 2007).
Although a majority of job characteristics research has been conducted in the for-
profit context, similar research of nonprofit organizations tends to take one of three
4	 Nonprofit and Voluntary Sector Quarterly 
approaches. The first approach is primarily descriptive and examines quantitative job
characteristic levels without testing predictive relationships (e.g., Mirvis & Hackett,
1983; Oldham, Hackman, & Stepina, 1978). The second approach tests quantitative
predictive relationships but does so by combining individual job characteristic mea-
sures into a single composite measure (e.g., Jaskyte, 2008). The third approach draws
on job characteristics research as a theoretical mechanism but stops short of collecting
core characteristics data (e.g., Bassous, 2015; Benz, 2005). Although we know the job
characteristics model applies to the nonprofit workplace, researchers have not yet
empirically examined the predictive validity of each core characteristic, which limits
our understanding of how specific facets of job structure link to the attitudes and
intentions.
Using job characteristics to predict job satisfaction.  Job satisfaction, a feeling of content-
ment resulting from having job expectations met (Bacharach, Bamberger, & Conley,
1991), is an important variable due to its negative relationship with outcomes detract-
ing from organizational functioning (e.g., withdrawal; Tett & Meyer, 1993), and posi-
tive relationships with outcomes supporting organizational functions (e.g., citizenship
behavior; Bateman & Organ, 1983). And, in for-profit organizations, past research has
already documented that all five individual core job characteristics are robust predic-
tors of job satisfaction through meta-analysis (e.g., Humphrey et al., 2007).
Given that we already know that job characteristics theory is applicable to non-
profit contexts when used for descriptive purposes (e.g., Mirvis & Hackett, 1983) and
when used for predictive purposes with aggregate measures (e.g., Jaskyte, 2008), we
expect the job characteristics-job satisfaction relationship to be generalizable from the
for-profit to the nonprofit context. Specifically, autonomy will have a positive rela-
tionship with job satisfaction because workers have higher order needs for responsibil-
ity and independence. Skill variety will have a positive relationship with job satisfaction
because employees prefer interesting jobs. Task identity will have a positive relation-
ship with job satisfaction because work becomes more meaningful to employees who
know how they are contributing to a larger whole. Task significance will have a posi-
tive relationship with job satisfaction because doing jobs that are important enhances
employees’ self-worth. Finally, feedback will have a positive relationship with job
satisfaction because employees will experience less ambiguity, be better able to gauge
the quality of their work, and better know how to improve.
Hypothesis 1 (H1): Perceptions of autonomy, skill variety, task identity, task sig-
nificance, and feedback will each have positive relationships with job satisfaction.
Using job characteristics to predict turnover intentions. Turnover intentions reflect
employees’ desire to leave their organization and represent one of the best predictors
of actual turnover (Griffeth, Hom, & Gaertner, 2000; Steel & Ovalle, 1984). Previous
research, often in for-profit contexts, has predicted a negative relationship between
turnover intentions and job characteristics. The logic suggests employees who have
engaging and important jobs should be less inclined to quit their jobs because they
Knapp et al.	 5
fulfill higher order needs. Interestingly, even though the logic for using job character-
istics to predict turnover intentions is straightforward, documenting a robust empirical
relationship has been elusive in for-profit research. For example, Humphrey et al.’s
(2007) meta-analysis did not find a significant relationship between job characteristics
and turnover intentions, and Slattery, Selvaragjan, Anderson, and Sardessai’s (2010)
more recent study of temporary employees found only small significant relationships
with task identity, autonomy, and feedback.
One explanation for these previous findings is related to how the job’s larger con-
text influences the effects of job characteristics on turnover intentions (Oldham &
Hackman, 2010). For example, researchers have acknowledged variance contingent
on work type (Yan, Peng, & Francesco, 2011), organizational climates and structures
(Morgeson, Dierdorff, & Hmurovic, 2010), and national cultures (Huang & Van De
Vliert, 2003). Given variation based on context, the relationship between job charac-
teristics and turnover intentions may be muted among for-profit employees because
the choice to work in this sector tends to be motivated by economic rewards (Benz,
2005; Leete, 2000). Consequently, for-profit employees may be more willing to con-
tinue doing jobs with less desirable characteristics to receive desired extrinsic benefits
than their nonprofit counterparts who tend to choose employment based on the nature
of their work. Also, after the decision to work in a particular sector is made, nonprofit
employees may consider structural job characteristics to be more salient because of the
relatively lower pay and promotion opportunities they experience. Thus, for nonprofit
employees, we make a prediction that aligns with theory more than past empirical
findings: Perceptions of all five core job characteristics will have a negative relation-
ship with turnover intentions.
Hypothesis 2 (H2): Positive perceptions of autonomy, skill variety, task identity,
task significance, and feedback will each have negative relationships with turnover
intentions.
The POS
In contrast to structural job characteristics, POS captures a relational aspect of organi-
zational life. Employees who believe their organization values their contributions and
cares about their individual well-being (high POS) tend to act and think in a positive
manner, while employees who view their organization as uncaring (low POS) tend to
think and behave more negatively (Eisenberger, Armelli, Rexwinkel, Lynch, &
Rhoades, 2001; Eisenberger et al., 1986). As such, there is a significant body of empir-
ical literature that links higher levels of POS to greater job satisfaction and lower
turnover intentions (e.g., Kurtessis et al., in press; Rhoades & Eisenberger, 2002;
Riggle, Edmondson, & Hansen, 2009) in for-profit contexts through three theoretical
dynamics.
First, POS improves employees’ sense of well-being by fulfilling relational and
socio-emotional needs for self-enhancement and belonging. Consequently, high
POS employees often report higher levels of job satisfaction and lower turnover
6	 Nonprofit and Voluntary Sector Quarterly 
intentions simply because they are receiving desired personal benefits (Kurtessis
et al., in press). Second, employees often feel obligated to return like-for-like in a
reactionary quid pro quo manner (i.e., the norm of reciprocity; Cropanzano &
Mitchell, 2005; Gouldner, 1960). As such, POS can inspire employees to reciprocate
in a positive manner (Eisenberger et al., 2001). For example, employees who have
been treated politely and fairly may loyally reciprocate by not seeking other employ-
ment opportunities. The opposite dynamic is also likely. The perception of unfair
and uncaring treatment can generate negative reciprocal reactions, such as with-
drawal and anger (Eisenberger, Lynch, Aselage, & Rohdieck, 2004). Third, employ-
ees often participate in social exchanges that reflect long-term sequences of actions
and reactions. As such, they may engage in mental accounting with an eye toward
repayment and investing (Blau, 1964; Cropanzano & Mitchell, 2005). From this
perspective, employees who are treated well tend to think and act in a manner sup-
porting organizational functions not only because they feel obligated to “pay” for
social benefits already received but they also believe that they are earning additional
rewards that will be provided at some ambiguous time in the future. Conversely,
employees who are treated poorly will tend to become disgruntled and uncoopera-
tive because they feel that they are owed past-due rewards, and they do not trust that
further investment will result in future benefits.
Despite a lack of POS research among nonprofit workers, we believe that POS is
likely to be a highly salient issue because of limited opportunities to earn higher
wages and because frustration with management is often a key reason for leaving
(Brown & Yoshioka, 2003). Indeed, in an organization designed to be exceptionally
lean so as to better serve a social mission with limited resources, providing caring
support may be one of a few positive levers of influence the organization can imple-
ment on a regular basis. For example, nonprofit organizations can adopt a culture
that emphasizes open communication (M. W. Allen, 1995) and participative deci-
sion-making (D. G. Allen, Shore, & Griffeth, 2003). In this way, they show employ-
ees that they care enough to keep them informed and to ask their opinion. Also,
while it may be difficult to provide additional rewards, nonprofit organizations can
demonstrate care by establishing fair procedures that distribute rewards in a way that
accurately reflects work contributions (Rhoades & Eisenberger, 2002). Finally,
although promotion opportunities may be limited, it is still possible to demonstrate
support by offering training opportunities that expand knowledge and skills in a
meaningful way (D. G. Allen et al., 2003).
Because POS fulfills socio-emotional needs, we hypothesize that POS will have a
positive relationship with job satisfaction. As POS inspires positive reciprocity and
encourages ongoing social exchange, we also hypothesize that nonprofit workers with
high POS will report lower turnover intentions.
Hypothesis 3 (H3): POS will have a positive relationship with job satisfaction.
Hypothesis 4 (H4): POS will have a negative relationship with turnover
intentions.
Knapp et al.	 7
Establishing the Relative Importance of POS and Job Characteristics on
Outcomes
As already noted, the academic literature examining for-profit contexts contains paral-
lel bodies of empirical literature that separately link job characteristics and POS to the
outcomes of job satisfaction and turnover intentions. What has yet to be answered in
any context is whether these variables predict employee attitudes and intentions simul-
taneously and robustly.
We hypothesize that both kinds of variables offer valid and simultaneous predictors
of job satisfaction and turnover intentions, albeit for different reasons. While POS
predicts these criteria because it reflects employees’ perception of how they are being
treated by their organization, job characteristics predict because they reflect the struc-
tural design and organization of the tasks employees do. Although we predict simulta-
neous relationships, we also predict that POS will be the relatively more important
predictor. That is, POS will explain more variance in job satisfaction and turnover
intentions than any of the perceived job characteristics, and this difference will be
statistically significant (Tonidandel & LeBreton, 2011; Tonidandel, LeBreton, &
Johnson, 2009). This is because the choice to work (Preston, 1989) and continue to
work (Brown & Yoshioka, 2003) in nonprofit organizations is often driven by the
moral value (Frank, 1996) and social goals (Hull & Lio, 2006) of the organizational
mission rather than the nature of the specific job being done. Consequently, workers
who perceive that they are being treated well by an organization that they value so
highly have a particularly strong reason to be satisfied with their jobs (Benz, 2005) and
intend to continue working for them (Borzaga & Tortia, 2006).
Hypothesis 5 (H5): POS will be a relatively more important predictor of job satis-
faction and turnover intentions than perceived job characteristics.
Method
Participants and Procedure
We recruited participants and collected data online through Cint data collection ser-
vices (www.cint.com). This independent contractor provides access to research-quality
survey panels. This company verifies member demographics, ensuring that panel
members do not complete multiple surveys for the same study, and it removes mem-
bers who provide inappropriate responses.
An invitation to participate in a longitudinal academic study was e-mailed to mem-
bers of a panel who were pre-screened as full-time employees in nonprofit organiza-
tions. This invitation linked to a webpage explaining the purpose of the study and
informed consent. Only participants who acknowledged this disclosure could access
the survey.
Respondents were not initially informed that they were contacted based on the
nature of their employment, nor were they informed that participation was dependent
8	 Nonprofit and Voluntary Sector Quarterly 
on full-time employment in a nonprofit. Preliminary screening questions asked respon-
dents to identify their employment status. Respondents who did not self-identify as
full-time employees of nonprofits were informed that they did not qualify for partici-
pation and were blocked from the survey. This procedure helped corroborate the pre-
screening criteria and helped alleviate the potential for participants to misrepresent
themselves in an attempt to receive incentives.
Participants who completed the survey received noncash “points” from Cint as an
incentive. They can accumulate and redeem these points for an assortment of premi-
ums (e.g., entry into a sweepstakes, gift cards to retailers, charitable donations). The
actual value of points given for participating in this study was less than US$5.
Online questionnaires were hosted on Zoomerang.com. Separating the web-hosting
and data collection services from the recruitment services allowed us to keep respon-
dents completely anonymous. Only Cint had access to e-mail addresses of respon-
dents, and only we had access to responses on the Zoomerang website.
Research designs that use data from a single source run the risk of inflating rela-
tionships between variables due to common method variance (Podsakoff, Mackenzie,
Lee, & Podsakoff, 2003; Spector, 2006). This dynamic can create problems when a
single survey contains self-report measures. To avoid this risk, we collected data for
our independent and dependent variables in two different surveys, separated by a
3-month interval.
A unique aspect of using online data collection services is that the Time 1 sample
size is determined a priori. Data collection is stopped after the contracted number of
responses is attained. Using Green’s (1991) guidelines for adequate sample size in
multiple regression (Tabachnick & Fidell, 2013), we estimated that we would need at
least 130 nonprofit workers to complete both the Time 1 and Time 2 survey. Dropout
rates from longitudinal studies are sometimes large, so we contracted for 550 Time 1
participants. After eliminating cases with inappropriate or incomplete responses, we
retained 504 Time 1 participants. Then, 3 months later, these respondents were
e-mailed an invitation to participate in Time 2, and we received 216 responses. After
eliminating cases with inappropriate or incomplete responses, we had a final sample
size of 196 individuals who completed both surveys—a 35.63% completion rate.
Matching of responses from Times 1 and 2 was done by a respondent-specific code
embedded in the invitation e-mails sent out by Cint and identification numbers pro-
vided by respondents.
Respondents were 82.65% Caucasian and 71.93% female. Average organizational
tenure was 8.98 years, ranging from 1 to 43. Average age of respondents was 42.70
years, ranging from 19 to 67. A total of 67.3% of respondents earned less than
US$55,000 a year.
Measures
All independent and dependent variables were measured by using a 7-point Likert-
type scale. The perception of job characteristics was measured at Time 1 by using
Idaszak and Drasgow’s (1987) revised version of Hackman and Oldhams’s (1974) job
Knapp et al.	 9
diagnostic survey. Respondents indicated the degree to which their job contained vari-
ous characteristics by answering three questions for each of the five job characteristic
scales. The skill variety measure (sample item: “The job requires me to use a number
of complex or high level skills”) had a Cronbach’s alpha = .85, the task identity mea-
sure (sample item: “The job is arranged so that I can do an entire piece of work from
beginning to end”) had a Cronbach’s alpha = .82, the task significance measure (sam-
ple item: “The job is one where a lot of people can be affected by how well the work
gets done”) had a Cronbach’s alpha = .87, the autonomy measure (sample item: “The
job gives me considerable opportunity for independence and freedom in how I do my
work”) had a Cronbach’s alpha = .83, and the feedback measure (sample item: “After
I finish a job, I know whether I performed well”) had a Cronbach’s alpha = .84. We
measured POS at Time 1 by using Eisenberger, Fasolo, and Davis-LaMastro’s (1990)
9-item short-form measure. Respondents indicated their level of agreement with state-
ments, such as “The organization strongly considers my goals and values” and “The
organization really cares about my well-being.” Cronbach’s alpha = .97.
Job satisfaction was measured at Time 2 by using Bacharach et al.’s (1991) 5-item
measure. This measure asks respondents to indicate the degree to which they are satis-
fied with various aspects of their job, including “your present job when you compare
it to jobs in other organizations” and “the progress you are making toward the goals set
for yourself in your present position.” Cronbach’s alpha = .96. Turnover intentions
were measured at Time 2 by using 4 items reflecting employees’ intention to leave
their current employer (e.g., Bluedorn, 1982). Respondents indicated their level of
agreement with statements, such as “I will still be working for this organization six
months from now” and “I would like to quit this organization within the next six
months.” Cronbach’s alpha = .92.
The control variables of age, gender, tenure, and salary were measured using sin-
gle-item questions. Age data were reported in years and were collected so as to par-
tially alleviate the concern that generational differences in work values (e.g., Twenge,
Campbell, Hoffman, & Lance, 2010) could confound our results. Gender data were
indicated by a check box and were collected to account for the tendency of nonprofit
organizations to employ more women than men (Themudo, 2009). Tenure data were
reported in years and were collected to account for previously known relationships
with job satisfaction (Bedeian, Ferris, & Kacmar, 1992) and turnover (Griffeth et al.,
2000). Salary data were indicated by marking a check box and were collected to
account for nonprofit organizations’ tendency to compensate at lower levels than for-
profit organization (Handy & Katz, 1998) and as a proxy for organizational position.
Analyses and Results
Table 1 reports means, standard deviations, and correlations. Prior to hypotheses test-
ing, we evaluated the validity of our measures by using confirmatory factor analysis
(CFA). The standards for evaluating our CFA were root-mean-square error of approxi-
mation (RMSEA; Steiger, 1990) using a standard of < .08, comparative fit index (CFI;
Bentler, 1990) using a standard of > .90, and standardized root-mean-square residual
10
Table1. Means,StandardDeviations,andIntercorrelations.
VariablesMSD123456789101112
 1. Age42.7011.61 
 2. Sex.72.45−.21** 
 3. Tenure8.988.46.51**−.13 
 4. Salary3.121.63.09−.17*.09 
 5. SkillVariety4.971.49.13.08.08.28*(.85) 
 6. TaskIdentity5.351.27.15*.11.03.09.23**(.82) 
 7. Task
Significance
5.831.21.18**.07.07.17*.50**.42**(.87) 
 8. Autonomy5.611.10.16*.08.11.13.53**.48**.55**(.83) 
 9. Feedback5.251.24.29**.02.11.21**.44**.53**.49**.63**(.84) 
10. POS4.711.53.08.05−.05.12.46**.39**.34**.49**.54**(.97) 
11. JobSatisfaction4.971.64.08.12.09.09.46**.31**.39**.52**.44**.62**(.96) 
12. Turnover
Intentions
2.531.78−.13−.05−.20**−.13−.35**−.21**−.30**−.37**−.29**−.49**−.78**(.92)
Note.Ageandtenurereportedinyears.Malecoded0andfemalecoded1.Salarycoded:1=US$25,000,2=US$25,001-US$40,000,3=US$40,001-
US$55,000,4=US$55,001-US$70,000,5=US$70,001-US$85,000,6=US$85,001-US$100,000,7≥US$100,000.N=196.Reliabilitiesforindividualmeasures
arereportedonthediagonal.Allnoncontrolmeasuresusea7-pointLikert-typescale:1=stronglydisagreeto7=stronglyagree.POS=perceptionof
organizationalsupport.
*p≤.05.**p≤.01.
Knapp et al.	 11
(SRMSR, Hu  Bentler, 1999) using a standard of  .10. Error terms for within-mea-
sure reverse coded items were allowed to covary a priori. All items loaded on the
intended factor, and the model exceeded our criteria for good fit, RMSEA = .066,
CFI = .925, and SRMR = .057.
We tested H1 through H4 using hierarchical regression. We entered control vari-
ables in step one, job characteristics measures in step two, and the POS measure in
step three. Table 2 reports results. When job satisfaction was examined as the criterion
without analyzing POS, only skill variety and autonomy were significant predictors in
step two. When POS was considered in conjunction with job characteristics in step 3,
only tenure, autonomy, and POS were significant predictors. There was a total R2 of
.48. When turnover intentions were examined, only tenure and POS had significant
relationships, and there was a total R2 of .33. These results provide partial support for
H1: Perceived job autonomy and perceived skill variety each explained variance in job
satisfaction in step two of the hierarchical regressions, but only autonomy remained a
significant predictor in Step 3. H2 was not supported: Job characteristics were not
significant predictors of turnover intentions. H3 and H4 were both fully supported in
that POS was a consistent predictor.
We tested H5 by doing a relative importance analysis using the web-based tool
recommended by Tonidandel and LeBreton (2015) at http://relativeimportance.david-
son.edu. This methodology holds two advantages over an examination of standardized
Table 2.  Results of Hierarchical Regression for POS and Job Characteristics.
Job satisfaction Turnover intentions
  Step 1 Step 2 Step 3 Step 1 Step 2 Step 3
Age .05 −.08 −.06 −.08 .01 −.01
Sex .16* .06 .07 −.10 −.03 −.05
Tenure .07 .07 .12 −.16 −.16* −.21**
Salary .11 −.04 −.02 −.12 −.02 −.03
Skill Variety .22** .11 −.13 −.03
Task Identity .03 −.02 −.03 .02
Task Significance .06 .08 −.09 −.11
Autonomy .28** .21** −.19 −.11
Feedback .14 −.02 −.05 .10
POS .47** −.46**
R2 .04 .35 .48 .06 .20 .33
Adjusted R2 .02 .32 .45 .04 .16 .29
ΔR2 .31 .13 .14 .13
df 4 9 10 4 9 10
F 1.87 10.73** 16.56** 3.05* 5.03** 8.80**
ΔF 17.17** 45.41** 6.28** 34.42**
Note. Standardized coefficients reported. POS = perception of organizational support.
*p ≤ .05. **p ≤ .01.
12	 Nonprofit and Voluntary Sector Quarterly 
regression weights. First, regression can exaggerate differences among independent
variables when they are correlated. Relative importance analysis overcomes this issue
by transforming independent variables so that their predictive relationships are orthog-
onal (Tonidandel  LeBreton, 2004, 2011). Second, regression procedures assume
that data exhibits multivariate normality. Relative importance analysis does not con-
tain this assumption as it uses bootstrapping techniques to test for significant differ-
ences in variance explained among predictors (Tonidandel, LeBreton,  Johnson,
2009). Our analysis supported H5 as POS was found to explain significantly more
variance in job satisfaction and turnover intentions than any of the job characteristics
variables as indicated by comparative bootstrapping confidence intervals that were
universally below 0 (see Table 3). Results were based on 10,000 bootstrapping replica-
tions and tested at alpha .05.
Discussion
In an effort to better understand full-time workers in nonprofit organizations, we
examined how structural (core job characteristics) and relational (POS) perceptions
predict job satisfaction and turnover intentions. Contrary to our expectations and some
previous empirical findings in for-profit settings (e.g., Humphrey et al., 2007; Slattery
et al., 2010), we found that job characteristics had limited predictive validity, particu-
larly in the presence of POS. More in line with expectations, we found POS was a
consistent and robust predictor. These findings suggest that employees of nonprofits
may care more about how they are treated than about their jobs. These findings raise a
number of issues for discussion.
Table 3.  Test of Significant Differences in Relative Importance Between POS and Job
Characteristics.
Job satisfaction Turnover intentions
  Lower boundary Upper boundary Lower boundary Upper boundary
Age −.29 −.13 −.24 −.07
Sex −.29 −.12 −.24 −.07
Tenure −.29 −.12 −.21 −.03
Salary −.29 −.13 −.23 −.07
Skill Variety −.24 −.03 −.20 −.01
Task Identity −.28 −.11 −.23 −.06
Task Significance −.26 −.08 −.22 −.04
Autonomy −.22 −.03 −.20 −.02
Feedback −.24 −.08 −.22 −.06
Note. If 0 is not included within confidence intervals, significant differences in relative importance exist.
Negative signs indicate relationship with the criterion is smaller than relationship POS has with the
criterion. Results based on 10,000 bootstrapping replications. Tested at alpha .05. POS = perception of
organizational support.
Knapp et al.	 13
Post Hoc Examination of Mediation
While not addressed by our initial hypotheses and analyses, job satisfaction can
mediate the relationship between predictors and turnover intentions (e.g., Côté 
Morgan, 2002), and we examined this dynamic post hoc. We used the bootstrapping
techniques of Preacher and Hayes (2004) to identify two significant relationships.
First, autonomy had a significant indirect relationship with turnover intentions that
was fully mediated by job satisfaction. Bias-corrected estimate of indirect effects
was −.27, with the 95% confidence interval lower boundary being −.49 and the
upper boundary being −.05. Second, the previously identified relationship between
POS and turnover intentions was partially mediated by job satisfaction. Bias-
corrected estimate of indirect effects operating through job satisfaction was −.45,
with the 95% confidence interval lower boundary being −.63 and the upper bound-
ary being −.26. These findings lend support to a growing body of literature that
identifies job satisfaction as an important mediator that sometimes intervenes
between independent and dependent variables.
Implications of Findings Related to Core Job Characteristics
When controlling for POS, skill variety, task identity, task significance, and feed-
back did not predict either job satisfaction or turnover intentions. Only autonomy
was found to be a significant predictor in that it had a direct relationship with job
satisfaction and an indirect relationship with turnover intentions (identified post
hoc) that was fully mediated by job satisfaction. To some extent, these findings are
consistent with past research in for-profit settings that has found difficulty identify-
ing a theorized relationship between job characteristics and turnover intentions (e.g.,
Humphrey et al., 2007; Slattery et al., 2010). However, the lack of findings related
to satisfaction contrasts with previous research in the for-profit context and suggests
that the nonprofit context may be a partial boundary condition to job characteristics
theory. Future researchers seeking to determine the extent to which nonprofit
employees are truly unique in this regard may benefit from following the example of
researchers who collect data in both for-profit and nonprofit contexts so as to pro-
vide a more direct comparison (Benz, 2005: Borzaga  Tortia, 2006; Brown 
Yoshioka, 2003).
Beyond the nonprofit context, our results also suggest the importance of separately
examining the relationships among the five job characteristics. Researchers often
expect each of the characteristics to have similar relationships with other variables
(e.g., Humphrey et al., 2007), and some researchers have combined the five into a
single, aggregated measure (e.g., Jaskyte, 2008; Piccolo  Colquitt, 2006). However,
only autonomy was a consistent and significant predictor in our data. Thus, we suggest
that future researchers design their studies to separately measure each characteristic.
By following this advice, they can gain a more finely grained understanding of the
relationships and better identify the specific perception(s) that explain variance in their
dependent variables.
14	 Nonprofit and Voluntary Sector Quarterly 
Closing the Gap Between Structural and Relational Research
Consistent with research suggesting that nonprofit employees who feel unappreciated
leave their organizations (Kim  Lee, 2007), we found POS to be a consistent (as
determined by hierarchical regression) and important (as determined by relative
weight analysis) predictor of higher job satisfaction and lower turnover intentions in
our data. Thus, POS appears to be an overlooked but critical predictor of nonprofit
employee satisfaction and turnover. Even further, these results provide initial evidence
that relational aspects of the work environment may matter more than structural
aspects when predicting outcomes in the nonprofit sector.
However, our work is only an initial step to future research on bridging the gap
between structural and relational theories. Future researchers will want to examine a
variety of structure-related knowledge, social environment, and general context vari-
ables (Humphrey et al., 2007; Morgeson  Humphrey, 2006), each of which has the
potential to be a more consistent and important predictor than relational variables.
Furthermore, POS represents only one of many relational constructs and may not
maintain primacy when examined in conjunction with variables related to employee
belonging and need fulfillment (Knapp, Smith,  Sprinkle, 2014; Masterson 
Stamper, 2003). Finally, it is important for future researchers to examine the relative
importance of structural and relational aspects of the work environment with a variety
of different outcomes, including performance and discretionary behavior (Organ,
1997). Only after these kinds of contingencies are systematically examined will we
fully understand how the nature of work structure and the nature of work relationships
co-influence employees.
Methodological Considerations
One strength of our study is the collection of data over two time periods separated by
3 months, which alleviated issues related to common method variance (Podsakoff
et al., 2003; Spector, 2006). This longitudinal design is an improvement over many of
the cross-sectional tests of job satisfaction and turnover in for-profit and nonprofit set-
tings. However, we do acknowledge that a two-stage design is not robust enough to
draw conclusions regarding causal influence (Cole  Maxwell, 2003). Future research-
ers may want to address issues of causality by designing field experiments or collect-
ing data over three (or more) time periods.
Another strength of our study is that we controlled for variation in age, gender,
tenure, and salary, thereby helping to alleviate concerns that our results might be
driven by extraneous individual-level variables. Nonetheless, organizations in the
nonprofit sector are diverse, and the relationships we have identified may vary accord-
ingly. For example, future researchers may find that the perceptions of job character-
istics predict satisfaction among employees at larger nonprofits that have
corporation-like rewards, cultures, and governance. Researchers who want to examine
this potential variation may want to collect and consider additional organizational data
related to specific sub-sectors and organizational characteristics.
Knapp et al.	 15
Another methodological issue worth noting is our choice to use hierarchical regres-
sion rather than structural equation modeling (SEM) to test hypotheses. Because H1 to
H4 predict direct relationships with a single dependent variable, we felt that regression
provided a parsimonious and robust analysis of the data. In contrast, we were con-
cerned about the use of SEM because it requires large samples when effect sizes are
small. The online calculator (at www.danielsoper.com/statcalc/calculator.aspx?id=89)
estimated that we would need 444 respondents to identify an effect size of .2 with a
probability level of .05. These concerns being noted, we did perform exploratory SEM
analysis and found that the overall pattern of results remained largely the same; the
only meaningful difference was that the p value for autonomy’s relationship with sat-
isfaction went from being significant at the p  .01 level using hierarchical regression
to being nonsignificant at the p  .06 level using SEM. This change is consistent with
our sample size concerns.
Practical Implications
Managers of nonprofit organizations should generally be cautious when applying pre-
scriptions commonly used in for-profit organizations because the nature of the work
and work environment may be considerably different. However, we did find POS
theory to be generalizable in our sample of nonprofit workers, and we believe that
management techniques related to POS should be effective at improving job satisfac-
tion and decreasing turnover. Interestingly, many of these techniques require very few
economic resources to implement, thereby making them ideal for application in non-
profit organization. For example, encouraging open communication (M. W. Allen,
1995), engaging in participative decision-making (D. G. Allen et al., 2003), and estab-
lishing fair procedures (Rhoades  Eisenberger, 2002) require only a commitment of
time and effort.
Given that we found few significant relationships related to perceived job charac-
teristics, we are more cautious when it comes to prescriptions for job design and
enrichment. Autonomy related directly to job satisfaction and indirectly to turnover
intentions; thus, a well-executed plan to increase employee independence and respon-
sibility should benefit morale and retention. Yet, we caution against a global approach
of manipulating all characteristics of every job because none of the other job charac-
teristics were significant predictors. These (non)findings suggest that changing other
aspects of job structure may have limited benefits. However, it is worth remembering
that nonprofit organizations are diverse, and our study did lack controls for organiza-
tional variables. Thus, managers will still want to consider the applicability of job
enrichment activities in their own context, particularly if their organization contains a
large number of menial or repetitive jobs.
Conclusion
Our pattern of results suggests that researchers and managers would benefit from a
more complete understanding of how organizational structures and organizational
16	 Nonprofit and Voluntary Sector Quarterly 
relationships differentially predict and influence employee outcomes. POS was an
important and consistent predictor of job satisfaction and turnover intentions in our
study. Job characteristics exhibited limited predictive validity. Thus, it appears that
nonprofit employees care more about how they are treated than about the jobs they do,
and it is possible that nonprofit organizations represent a partial boundary condition
for job characteristics theory. Given these results and potential implications, we
believe there is a critical need for additional empirical research aimed at bridging the
gap between structural and relational theories.
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship,
and/or publication of this article.
Funding
The author(s) received no financial support for the research, authorship, and/or publication of
this article.
References
Allen, D. G., Shore, L. M.,  Griffeth, R. (2003). The role of perceived organizational support
and supportive human resource practices in the turnover process. Journal of Management,
29, 99-118. doi:10.1177/014920630302900107
Allen, M. W. (1995). Communication concepts related to perceived organizational support.
Western Journal of Communication, 59, 326-346. doi:10.1080/10570319509374525
Bacharach, S. B., Bamberger, P.,  Conley, S. (1991). Work-home conflict among nurses and
engineers: Mediating the impact of role stress on burnout and satisfaction at work. Journal
of Organizational Behavior, 12, 39-53. doi:10.1002/job.4030120104
Bassous, M. (2015). What are the factors that affect worker motivation in faith-based nonprofit
organizations? Voluntas: International Journal of Voluntary and Nonprofit Organizations,
26, 355-381. doi:10.1007/s11266-013-9420-3
Bateman, T. S.,  Organ, D. W. (1983). Job satisfaction and the good soldier: The relationship
between affect and employee “citizenship.” Academy of Management Journal, 26, 587-
595. doi:10.2307/255908
Bedeian, A. G., Ferris, G. R.,  Kacmar, K. M. (1992). Age, tenure, and job satisfaction: A
tale of two perspectives. Journal of Vocational Behavior, 40, 33-48. doi:10.1016/0001-
8791(92)90045-2
Bentler, P. M. (1990). Comparative fit indices in structural models. Psychological Bulletin, 122,
238-246. doi:10.1037//0033-2909.107.2.238
Benz, M. (2005). Not for the profit, but for the satisfaction?—Evidence on worker well-being in
nonprofit firms. KYKLOS, 58, 155-176. doi:10.1111/j.0023-5962.2005.00283.x
Blau, P. M. (1964). Exchange and power in social life. New York, NY: John Wiley.
Bluedorn, A. C. (1982). The theories of turnover: Causes, effects, and meaning. Research in the
Sociology of Organizations, 1, 75-128.
Borzaga, C.,  Tortia, E. (2006). Worker motivations, job satisfaction, and loyalty in pub-
lic and nonprofit social services. Nonprofit and Voluntary Sector Quarterly, 35, 225-248.
doi:10.1177/0899764006287207
Knapp et al.	 17
Brown, W. A.,  Yoshioka, C. F. (2003). Mission attachment and satisfaction as factors in
employee retention. Nonprofit Management  Leadership, 14, 5-18. doi:10.1002/nml.18
Cole, D. A.,  Maxwell, S. E. (2003). Testing mediational models with longitudinal data:
Questions and tips in the use of structural equation modeling. Journal of Abnormal
Psychology, 112, 558-577. doi:10.1037/0021-843X.112.4.558
Côté, S.,  Morgan, L. M. (2002). A longitudinal analysis of the association between emotion
regulation, job satisfaction, and intentions to quit. Journal of Organizational Behavior, 23,
947-962. doi:10.1002/job.174
Cropanzano, R.,  Mitchell, M. S. (2005). Social exchange theory: An interdisciplinary review.
Journal of Management, 31, 874-900. doi:10.1177/0149206305279602
Eisenberger, R., Armelli, S., Rexwinkel, B., Lynch, P. D.,  Rhoades, L. (2001). Reciprocation
of perceived organizational support. Journal of Applied Psychology, 86, 42-51.
doi:10.1037//0021-9010.86.1.42
Eisenberger, R., Fasolo, P.,  Davis-LaMastro, V. (1990). Perceived organizational support
and employee diligence, commitment, and innovation. Journal of Applied Psychology, 75,
51-59. doi:10.1037/0021-9010.75.1.51
Eisenberger, R., Huntington, R., Hutchison, S.,  Sowa, D. (1986). Perceived organizational
support. Journal of Applied Psychology, 71, 500-507. doi:10.1037/0021-9010.71.3.500
Eisenberger, R., Lynch, P., Aselage, J.,  Rohdieck, S. (2004). Who takes the most revenge?
Individual differences in negative reciprocity norm endorsement. Personality and Social
Psychology Bulletin, 30, 789-799. doi:10.1177/0146167204264047
Frank, R. H. (1996). What price the moral high ground? Southern Economic Journal, 63, 1-17.
doi:10.2307/1061299
Gouldner, A. W. (1960). The norm of reciprocity: A preliminary statement. American
Sociological Review, 25, 161-178. doi:10.2307/2092623
Green, S. B. (1991). How many subjects does it take to do regression analysis? Multivariate
Behavioral Research, 26, 449-510. doi:10.1207/s15327906mbr2603_7
Griffeth, R. W., Hom, P. W.,  Gaertner, S. (2000). A meta-analysis of antecedents and
correlates of employee turnover: Update, moderator tests, and research implications
for the next millennium. Journal of Management, 26, 463-488. doi:10.1016/S0149-
2063(00)00043-X
Hackman, J. R.,  Lawler, E. E. (1971). Employee reactions to job characteristics. Journal of
Applied Psychology, 55, 259-286. doi:10.1037/h0031152
Hackman, J. R.,  Oldham, G. R. (1974). The Job Diagnostic Survey: An instrument for the
diagnosis of jobs and the evaluation of job redesign projects. Available from http://eric.
ed.gov/
Hackman, J. R.,  Oldham, G. R. (1975). Development of the Job Diagnostic Survey. Journal
of Applied Psychology, 60, 159-170. doi:10.1037/h0076546
Handy, F.,  Katz, E. (1998). The wage differential between nonprofit institutions and cor-
poration: Getting more by paying less? Journal of Comparative Economics, 26, 246-261.
doi:10.1006/jcec.1998.1520
Hu, L.,  Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structural analy-
sis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55.
doi:10.1080/10705519909540118
Huang, X.,  Van De Vliert, E. (2003). Where intrinsic job satisfaction fails to work: National
moderators of intrinsic motivation. Journal of Organizational Behavior, 24, 159-179.
doi:10.1002/job.186
18	 Nonprofit and Voluntary Sector Quarterly 
Hull, C. E.,  Lio, B. H. (2006). Innovation in nonprofit and for-profit organizations: Visionary,
strategic, and financial considerations. Journal of Change Management, 6, 53-65.
doi:10.1080/14697010500523418
Humphrey, S. E., Nahrgang, J. D.,  Morgeson, F. P. (2007). Integrating motivational,
social, and contextual work design features: A meta-analytic summary and theoretical
extension of the work design literature. Journal of Applied Psychology, 92, 1332-1356.
doi:10.1037/0021-9010.92.5.1332
Idaszak, J. R.,  Drasgow, F. (1987). A revision of the Job Diagnostic Survey: Elimination
of a measurement artifact. Journal of Applied Psychology, 72, 69-74. doi:10.1037//0021-
9010.72.1.69
Jaskyte, K. (2008). Employee creativity in U.S. and Lithuanian nonprofit organizations.
Nonprofit Management  Leadership, 18, 465-483. doi:10.1002/nml.198
Johnson, J.,  Ng, E. (2016). Money talks or Millennials walk: The effect of compensation
on nonprofit Millennial workers sector-switching intentions. Review of Public Personnel
Administration, 36, 283-305. doi:10.1177/0734371X15587980
Johnson, J. L. (2009). The nonprofit leadership deficit: A case for more optimism. Nonprofit
Management  Leadership, 19, 2185-2304. doi:10.1002/nml.220
Kim, S.,  Lee, J. (2007). Is mission attachment an effective management tool for employee
retention? An empirical analysis of a nonprofit human services agency. Review of Public
Personnel Administration, 27, 227-248. doi:10.1177/0734371X06295791
Knapp, J. R., Smith, B.,  Sprinkle, T. (2014). Clarifying the roles of psychological owner-
ship, perceived insider status, and organizational identification. Journal of Leadership 
Organizational Studies, 21, 273-285. doi:10.1177/1548051814529826
Kurtessis,J.N.,Eisenberger,R.,Ford,M.T.,Buffardi,L.C.,Stewart,K.A.,Adis,C.S.(inpress).
Perceived organizational support: A meta-analytic evaluation of organizational support the-
ory. Journal of Management. Advance online publication. doi:10.1177/0149206315575554
Lee, Y.-j. (2016). Comparison of job satisfaction between nonprofit and public employees.
Nonprofit and Voluntary Sector Quarterly, 45, 295-313. doi:10.1177/0899764015584061
Leete, L. (2000). Wage equity and employee motivation in nonprofit and for-profit organiza-
tions. Journal of Economic Behavior  Organization, 43, 423-446. doi:10.1016/S0167-
2681(00)00129-3
Light, P. C. (2000). Making nonprofits work: A report on the tides of nonprofit management
reform. Washington, DC: Brookings Institution Press.
Light, P. C. (2002). The content of their character: The state of the nonprofit workforce.
Nonprofit Quarterly, 9, 6-19.
Macy, G. (2006). Outcomes of values and participation in values-expressive nonprofit agencies.
Journal of Behavioral  Applied Management, 7, 165-181.
Masterson, S. S.,  Stamper, C. L. (2003). Perceived organizational membership: An aggregate
framework representing the employee-organization relationship. Journal of Organizational
Behavior, 24, 473-490. doi:10.1002/job.203
Mirvis, P. H.,  Hackett, E. J. (1983). Work and work force characteristics in the nonprofit sec-
tor. Monthly Labor Review, 103, 3-12. doi:10.1126/science.323.5918.1161a
Morgeson, F. P., Dierdorff, E. C.,  Hmurovic, J. L. (2010). Work design in situ: Understanding
the role of occupational and organizational context. Journal of Organizational Behavior,
31, 351-360. doi:10.1002/job.642
Morgeson, F. P.,  Humphrey, S. E. (2006). The Work Design Questionnaire (WDQ):
Developing and validating a comprehensive measure for assessing job design and the nature
of work. Journal of Applied Psychology, 91, 1321-1339. doi:10.1037/0021-9010.91.6.1321
Knapp et al.	 19
Nonprofit HR. (2016). 2016 nonprofit employment practices survey results. Retrieved from
http://www.nonprofithr.com/wp-content/uploads/2016/04/2016NEPSurvey-final.pdf
Oldham, G. R.,  Hackman, J. R. (2010). Not what it was and not what it will be: The future of
job design research. Journal of Organizational Behavior, 31, 463-479. doi:10.1002/job.678
Oldham, G. R., Hackman, J. R.,  Stepina, L. P. (1978). Norms for the job diagnostic survey
(Technical Report Number-06). Retrieved from http://oai.dtic.mil/oai/oai?verb=getRecord
metadataPrefix=htmlidentifier=ADA057268
Organ, D. W. (1997). Organizational citizenship behavior: It’s construct clean-up time. Human
Performance, 10, 85-97. doi:10.1207/s15327043hup1002_2
Piccolo, R. F.,  Colquitt, J. A. (2006). Transformational leadership and job behaviors: The
mediating role of core job characteristics. Academy of Management Journal, 49, 327-340.
doi:10.5465/AMJ.2006.20786079
Podsakoff, P., Mackenzie, S., Lee, J.,  Podsakoff, N. (2003). Common method biases in
behavioral research: A critical review of the literature and recommended remedies. Journal
of Applied Psychology, 88, 879-903. doi:10.1037/0021-9010.88.5.879
Preacher, K. J.,  Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects
in simple mediation models. Behavior Research Methods, Instruments,  Computers, 36,
717-731. doi:10.3758/BF03206553
Preston, A. E. (1989). The nonprofit worker in a for-profit world. Journal of Labor Economics,
7, 438-463. doi:10.1086/298216
Rhoades, L.,  Eisenberger, R. (2002). Perceived organizational support: A review of the litera-
ture. Journal of Applied Psychology, 87, 398-714. doi:10.1037//0021-9010.87.4.698
Riggle, R. J., Edmondson, D. R.,  Hansen, J. D. (2009). A meta-analysis of the relationship
between perceived organizational support and job outcomes: 20 years of research. Journal
of Business Research, 62, 1027-1030. doi:10.1016/j.jbusres.2008.05.003
Slattery, J. P., Selvaragjan, T. T., Anderson, J. E.,  Sardessai, R. (2010). Relationship between
job characteristics and attitudes: A study of temporary employees. Journal of Applied
Social Psychology, 40, 1539-1565. doi:10.1111/j.1559-1816.2010.00628.x
Spector, P. E. (2006). Method variance in organizational research: Truth or urban legend?
Organizational Research Methods, 9, 221-232. doi:10.1177/1094428105284955
Steel, R. P.,  Ovalle, N. K. (1984). A review and meta-analysis of research on the relationship
between behavioral intentions and employee turnover. Journal of Applied Psychology, 69,
673-686. doi:10.1037//0021-9010.69.4.673
Steiger, J. H. (1990). Structural model evaluation and modification: An interval esti-
mation approach. Multivariate Behavioral Research, 25, 173-180. doi:10.1207/
s15327906mbr2502_4
Tabachnick, B. G.,  Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Boston, MA:
Pearson.
Tett, R. P.,  Meyer, J. P. (1993). Job satisfaction, organizational commitment, turnover inten-
tion, and turn-over: Path analyses based on meta-analytic findings. Personnel Psychology,
46, 259-293. doi:10.1111/j.1744-6570.1993.tb00874.x
Themudo, N. S. (2009). Gender and the nonprofit sector. Nonprofit and Voluntary Sector
Quarterly, 38, 663-683. doi:10.1177/0899764009333957
Tonidandel, S.,  LeBreton, J. M. (2004). History and use of relative importance indices in
organizational research. Organizational Research Methods, 7, 238-257. doi:10.1177/
1094428104266510
20	 Nonprofit and Voluntary Sector Quarterly 
Tonidandel, S.,  LeBreton, J. M. (2011). Relative importance analysis: A useful supplement
to regression analysis. Journal of Business and Psychology, 26, 1-9. doi:10.1007/s10869-
010-9204-3
Tonidandel, S.,  LeBreton, J. M. (2015). A free, comprehensive, web-based, and user-friendly
tool for relative weight analyses. Journal of Business and Psychology, 30, 207-215.
doi:10.1007/s10869-014-9351-z
Tonidandel, S., LeBreton, J. M.,  Johnson, J. W. (2009). Determining the statistical signifi-
cance of relative weights. Psychological Methods, 14, 387-399. doi:10.1037/a0017735
Twenge, J. M., Campbell, S. M., Hoffman, B. J.,  Lance, C. E. (2010). Generational differ-
ences in work values: Leisure and extrinsic values increasing, social and intrinsic values
decreasing. Journal of Management, 36, 1117-1142. doi:10.1177/0149206309352246
Yan, M., Peng, K. Z.,  Francesco, A. M. (2011). The differential effects of job design on
knowledge workers and manual workers: A quasi-experimental field study in China.
Human Resource Management, 50, 407-424. doi:10.1002/hrm.20428
Author Biographies
Joshua R. Knapp is Associate Professor of Human Resources and Organizational Behavior at
the University of Wisconsin–Whitewater. His PhD was granted by the University of Cincinnati.
His primary research interests relate to understanding how employees navigate the organiza-
tional environment, including topics related to social exchange, social cognition, and employee-
organization relationships.
Brett R. Smith is Professor of Entrepreneurship and Founding Director, Center for Social
Entrepreneurship, at the Farmer School of Business, Miami University (Ohio). His research
interests focus on social entrepreneurship with specific emphases on identity, scaling, and
development models.
Therese A. Sprinkle is Assistant Professor of Management at Quinnipiac University. She
received her PhD from the University of Cincinnati after a long corporate career. She is keenly
interested in organizational justice, leadership, and roles/role behavior.

More Related Content

What's hot

Job Performance Research Article
Job Performance Research ArticleJob Performance Research Article
Job Performance Research ArticleSadia Razzaq
 
4.[53 62]a live study of employee satisfaction and growth analysis
4.[53 62]a live study of employee satisfaction and growth analysis4.[53 62]a live study of employee satisfaction and growth analysis
4.[53 62]a live study of employee satisfaction and growth analysisAlexander Decker
 
Literaturereview 121109102532-phpapp02
Literaturereview 121109102532-phpapp02Literaturereview 121109102532-phpapp02
Literaturereview 121109102532-phpapp02Vishnu Raj
 
Jurnal sdm
Jurnal sdmJurnal sdm
Jurnal sdmodyjoana
 
Employee Englightnment Sulphey and Basheer
Employee Englightnment Sulphey and BasheerEmployee Englightnment Sulphey and Basheer
Employee Englightnment Sulphey and BasheerM M Sulphey
 
The relationship between the five factors of personality
The relationship between the five factors of personalityThe relationship between the five factors of personality
The relationship between the five factors of personalityiaemedu
 
The relationship between the five factors of personality, individual job perf...
The relationship between the five factors of personality, individual job perf...The relationship between the five factors of personality, individual job perf...
The relationship between the five factors of personality, individual job perf...iaemedu
 
Analysis of the Equity and job Satisfaction at the Workplace- Implementation ...
Analysis of the Equity and job Satisfaction at the Workplace- Implementation ...Analysis of the Equity and job Satisfaction at the Workplace- Implementation ...
Analysis of the Equity and job Satisfaction at the Workplace- Implementation ...AI Publications
 
Effects of task identity on employee motivation a survey of eldoret polytechn...
Effects of task identity on employee motivation a survey of eldoret polytechn...Effects of task identity on employee motivation a survey of eldoret polytechn...
Effects of task identity on employee motivation a survey of eldoret polytechn...Alexander Decker
 
Distortions in performance appraisals and employee perceptions of fairness in...
Distortions in performance appraisals and employee perceptions of fairness in...Distortions in performance appraisals and employee perceptions of fairness in...
Distortions in performance appraisals and employee perceptions of fairness in...Shantanu Basu
 
Relationship between performance appraisal politics, organizational commitmen...
Relationship between performance appraisal politics, organizational commitmen...Relationship between performance appraisal politics, organizational commitmen...
Relationship between performance appraisal politics, organizational commitmen...Alexander Decker
 
Advanced research methods research paper
Advanced research methods research paperAdvanced research methods research paper
Advanced research methods research paperAlFajrQuraan
 
Motivation Theories (Maslow's Hierarchy of Needs, Taylor's Scientific Managem...
Motivation Theories (Maslow's Hierarchy of Needs, Taylor's Scientific Managem...Motivation Theories (Maslow's Hierarchy of Needs, Taylor's Scientific Managem...
Motivation Theories (Maslow's Hierarchy of Needs, Taylor's Scientific Managem...Project Student
 
Shaping employee oriented human resource policies through analyzing motivatio...
Shaping employee oriented human resource policies through analyzing motivatio...Shaping employee oriented human resource policies through analyzing motivatio...
Shaping employee oriented human resource policies through analyzing motivatio...Alexander Decker
 
Formation of organizational citizenship behaviors in students employed in uni...
Formation of organizational citizenship behaviors in students employed in uni...Formation of organizational citizenship behaviors in students employed in uni...
Formation of organizational citizenship behaviors in students employed in uni...AlFajrQuraan
 

What's hot (18)

Job Performance Research Article
Job Performance Research ArticleJob Performance Research Article
Job Performance Research Article
 
4.[53 62]a live study of employee satisfaction and growth analysis
4.[53 62]a live study of employee satisfaction and growth analysis4.[53 62]a live study of employee satisfaction and growth analysis
4.[53 62]a live study of employee satisfaction and growth analysis
 
Literaturereview 121109102532-phpapp02
Literaturereview 121109102532-phpapp02Literaturereview 121109102532-phpapp02
Literaturereview 121109102532-phpapp02
 
Jurnal sdm
Jurnal sdmJurnal sdm
Jurnal sdm
 
Employee Englightnment Sulphey and Basheer
Employee Englightnment Sulphey and BasheerEmployee Englightnment Sulphey and Basheer
Employee Englightnment Sulphey and Basheer
 
The relationship between the five factors of personality
The relationship between the five factors of personalityThe relationship between the five factors of personality
The relationship between the five factors of personality
 
The relationship between the five factors of personality, individual job perf...
The relationship between the five factors of personality, individual job perf...The relationship between the five factors of personality, individual job perf...
The relationship between the five factors of personality, individual job perf...
 
Analysis of the Equity and job Satisfaction at the Workplace- Implementation ...
Analysis of the Equity and job Satisfaction at the Workplace- Implementation ...Analysis of the Equity and job Satisfaction at the Workplace- Implementation ...
Analysis of the Equity and job Satisfaction at the Workplace- Implementation ...
 
E0321030034
E0321030034E0321030034
E0321030034
 
On Attitudes and Job Satisfaction
On Attitudes and Job SatisfactionOn Attitudes and Job Satisfaction
On Attitudes and Job Satisfaction
 
Effects of task identity on employee motivation a survey of eldoret polytechn...
Effects of task identity on employee motivation a survey of eldoret polytechn...Effects of task identity on employee motivation a survey of eldoret polytechn...
Effects of task identity on employee motivation a survey of eldoret polytechn...
 
Distortions in performance appraisals and employee perceptions of fairness in...
Distortions in performance appraisals and employee perceptions of fairness in...Distortions in performance appraisals and employee perceptions of fairness in...
Distortions in performance appraisals and employee perceptions of fairness in...
 
Relationship between performance appraisal politics, organizational commitmen...
Relationship between performance appraisal politics, organizational commitmen...Relationship between performance appraisal politics, organizational commitmen...
Relationship between performance appraisal politics, organizational commitmen...
 
Advanced research methods research paper
Advanced research methods research paperAdvanced research methods research paper
Advanced research methods research paper
 
Motivation Theories (Maslow's Hierarchy of Needs, Taylor's Scientific Managem...
Motivation Theories (Maslow's Hierarchy of Needs, Taylor's Scientific Managem...Motivation Theories (Maslow's Hierarchy of Needs, Taylor's Scientific Managem...
Motivation Theories (Maslow's Hierarchy of Needs, Taylor's Scientific Managem...
 
Shaping employee oriented human resource policies through analyzing motivatio...
Shaping employee oriented human resource policies through analyzing motivatio...Shaping employee oriented human resource policies through analyzing motivatio...
Shaping employee oriented human resource policies through analyzing motivatio...
 
Formation of organizational citizenship behaviors in students employed in uni...
Formation of organizational citizenship behaviors in students employed in uni...Formation of organizational citizenship behaviors in students employed in uni...
Formation of organizational citizenship behaviors in students employed in uni...
 
Papel
PapelPapel
Papel
 

Viewers also liked

McIntyre JIDR 2014
McIntyre JIDR 2014McIntyre JIDR 2014
McIntyre JIDR 2014Ian McIntyre
 
Task 7 film distribution companies
Task 7  film distribution companiesTask 7  film distribution companies
Task 7 film distribution companiesGeorgia Tailby
 
Brian Phillip Resume Updated 06-16-2016
Brian Phillip Resume Updated 06-16-2016Brian Phillip Resume Updated 06-16-2016
Brian Phillip Resume Updated 06-16-2016Brian N. Phillip
 
The Ethereum Geth Client
The Ethereum Geth ClientThe Ethereum Geth Client
The Ethereum Geth ClientArnold Pham
 
Introduction to Ethereum
Introduction to EthereumIntroduction to Ethereum
Introduction to EthereumArnold Pham
 
Ethereum Smart Contract Tutorial
Ethereum Smart Contract TutorialEthereum Smart Contract Tutorial
Ethereum Smart Contract TutorialArnold Pham
 
Cátalogo de productos (anippac) parte 1
Cátalogo de productos (anippac) parte 1Cátalogo de productos (anippac) parte 1
Cátalogo de productos (anippac) parte 1Mauricio Quiroz S
 
BLOG DE NORMAS DE SEGURIDAD Y REGLAS EN EL LABORATORIO
BLOG DE NORMAS DE SEGURIDAD Y REGLAS EN EL LABORATORIO BLOG DE NORMAS DE SEGURIDAD Y REGLAS EN EL LABORATORIO
BLOG DE NORMAS DE SEGURIDAD Y REGLAS EN EL LABORATORIO Carolina Pullutasi
 
Learning Solidity
Learning SolidityLearning Solidity
Learning SolidityArnold Pham
 
Job characteristic model
Job characteristic modelJob characteristic model
Job characteristic modelKapil Rajput
 
RTI against Supreme Court of India dated 05.01.2017
RTI  against Supreme Court of India dated 05.01.2017 RTI  against Supreme Court of India dated 05.01.2017
RTI against Supreme Court of India dated 05.01.2017 Om Prakash Poddar
 
Infrastructure as code: running microservices on AWS using Docker, Terraform,...
Infrastructure as code: running microservices on AWS using Docker, Terraform,...Infrastructure as code: running microservices on AWS using Docker, Terraform,...
Infrastructure as code: running microservices on AWS using Docker, Terraform,...Yevgeniy Brikman
 
Blockchain in IoT and Other Considerations by Dinis Guarda
Blockchain in IoT and Other Considerations by Dinis GuardaBlockchain in IoT and Other Considerations by Dinis Guarda
Blockchain in IoT and Other Considerations by Dinis GuardaDinis Guarda
 

Viewers also liked (20)

McIntyre JIDR 2014
McIntyre JIDR 2014McIntyre JIDR 2014
McIntyre JIDR 2014
 
Task 7 film distribution companies
Task 7  film distribution companiesTask 7  film distribution companies
Task 7 film distribution companies
 
Brian Phillip Resume Updated 06-16-2016
Brian Phillip Resume Updated 06-16-2016Brian Phillip Resume Updated 06-16-2016
Brian Phillip Resume Updated 06-16-2016
 
Album
AlbumAlbum
Album
 
The Ethereum Geth Client
The Ethereum Geth ClientThe Ethereum Geth Client
The Ethereum Geth Client
 
Introduction to Ethereum
Introduction to EthereumIntroduction to Ethereum
Introduction to Ethereum
 
Ethereum Smart Contract Tutorial
Ethereum Smart Contract TutorialEthereum Smart Contract Tutorial
Ethereum Smart Contract Tutorial
 
Cátalogo de productos (anippac) parte 1
Cátalogo de productos (anippac) parte 1Cátalogo de productos (anippac) parte 1
Cátalogo de productos (anippac) parte 1
 
Examen Tics
Examen TicsExamen Tics
Examen Tics
 
BLOG DE NORMAS DE SEGURIDAD Y REGLAS EN EL LABORATORIO
BLOG DE NORMAS DE SEGURIDAD Y REGLAS EN EL LABORATORIO BLOG DE NORMAS DE SEGURIDAD Y REGLAS EN EL LABORATORIO
BLOG DE NORMAS DE SEGURIDAD Y REGLAS EN EL LABORATORIO
 
Examen Tics
Examen TicsExamen Tics
Examen Tics
 
Examen tic
Examen ticExamen tic
Examen tic
 
Learning Solidity
Learning SolidityLearning Solidity
Learning Solidity
 
Transdutores
TransdutoresTransdutores
Transdutores
 
Biblioteca virtual
Biblioteca virtualBiblioteca virtual
Biblioteca virtual
 
Job characteristic model
Job characteristic modelJob characteristic model
Job characteristic model
 
RTI against Supreme Court of India dated 05.01.2017
RTI  against Supreme Court of India dated 05.01.2017 RTI  against Supreme Court of India dated 05.01.2017
RTI against Supreme Court of India dated 05.01.2017
 
Prueba
PruebaPrueba
Prueba
 
Infrastructure as code: running microservices on AWS using Docker, Terraform,...
Infrastructure as code: running microservices on AWS using Docker, Terraform,...Infrastructure as code: running microservices on AWS using Docker, Terraform,...
Infrastructure as code: running microservices on AWS using Docker, Terraform,...
 
Blockchain in IoT and Other Considerations by Dinis Guarda
Blockchain in IoT and Other Considerations by Dinis GuardaBlockchain in IoT and Other Considerations by Dinis Guarda
Blockchain in IoT and Other Considerations by Dinis Guarda
 

Similar to Is it the Job or the Support

© 2016 Laureate Education, Inc. Page 1 of 9 DDBA
© 2016 Laureate Education, Inc.        Page 1 of 9 DDBA © 2016 Laureate Education, Inc.        Page 1 of 9 DDBA
© 2016 Laureate Education, Inc. Page 1 of 9 DDBA LesleyWhitesidefv
 
Employees’ Growth Need Strength.pdf
Employees’ Growth Need Strength.pdfEmployees’ Growth Need Strength.pdf
Employees’ Growth Need Strength.pdfValerieBez1
 
Relationship of Demographic Variables and Job Satisfaction among Married Women
Relationship of Demographic Variables and Job Satisfaction among Married WomenRelationship of Demographic Variables and Job Satisfaction among Married Women
Relationship of Demographic Variables and Job Satisfaction among Married WomenIJLT EMAS
 
Managerial Psychology By Dr.Mahboob Khan Phd
Managerial Psychology By Dr.Mahboob Khan PhdManagerial Psychology By Dr.Mahboob Khan Phd
Managerial Psychology By Dr.Mahboob Khan PhdHealthcare consultant
 
Human Resource Management Practices And Workers Job Satisfaction
Human Resource Management Practices And Workers  Job SatisfactionHuman Resource Management Practices And Workers  Job Satisfaction
Human Resource Management Practices And Workers Job SatisfactionKimberly Williams
 
How Internal and External Business Effect Employee Turnover intention. AResea...
How Internal and External Business Effect Employee Turnover intention. AResea...How Internal and External Business Effect Employee Turnover intention. AResea...
How Internal and External Business Effect Employee Turnover intention. AResea...Muneeb Ahsan
 
Exploring organizational citiz
Exploring organizational citizExploring organizational citiz
Exploring organizational citizAlFajrQuraan
 
Asif razzaq final Business Research Methods on Employees satisfaction
Asif razzaq final Business Research Methods on Employees satisfactionAsif razzaq final Business Research Methods on Employees satisfaction
Asif razzaq final Business Research Methods on Employees satisfactionAsif Razzaq
 
Clarifying the Relational Ties of Belonging 2014 knapp smith sprinkle
Clarifying the Relational Ties of Belonging 2014 knapp smith sprinkleClarifying the Relational Ties of Belonging 2014 knapp smith sprinkle
Clarifying the Relational Ties of Belonging 2014 knapp smith sprinklejoshuarknapp
 
A Comparative Study Of Employee-Attitude Of Permanent And Temporary Employees...
A Comparative Study Of Employee-Attitude Of Permanent And Temporary Employees...A Comparative Study Of Employee-Attitude Of Permanent And Temporary Employees...
A Comparative Study Of Employee-Attitude Of Permanent And Temporary Employees...Sabrina Green
 
Employability and career_success_bridging_the_gap_between_theory_and_reality
Employability and career_success_bridging_the_gap_between_theory_and_realityEmployability and career_success_bridging_the_gap_between_theory_and_reality
Employability and career_success_bridging_the_gap_between_theory_and_realityNorhidayah Badrul Hisham
 
Employees’ attitudes and efficiency of human resource
Employees’ attitudes and efficiency of human resourceEmployees’ attitudes and efficiency of human resource
Employees’ attitudes and efficiency of human resourceAlexander Decker
 
5Factors of Engagement
5Factors of Engagement5Factors of Engagement
5Factors of EngagementOmar Farooq
 
Final Human Resources Paper
Final Human Resources PaperFinal Human Resources Paper
Final Human Resources PaperStephanie Snyder
 
A study on organisational citizenship behaviour and organisational commitmen
A study on organisational citizenship behaviour and organisational commitmenA study on organisational citizenship behaviour and organisational commitmen
A study on organisational citizenship behaviour and organisational commitmenIAEME Publication
 
11.a two factor model of organizational citizenship behaviour in organizations
11.a two factor model of organizational citizenship behaviour in organizations11.a two factor model of organizational citizenship behaviour in organizations
11.a two factor model of organizational citizenship behaviour in organizationsAlexander Decker
 
HRM AND SMALL-FIRM EMPLOYEE MOTIVATIONBEFORE AND AFTER TH.docx
HRM AND SMALL-FIRM EMPLOYEE MOTIVATIONBEFORE AND AFTER TH.docxHRM AND SMALL-FIRM EMPLOYEE MOTIVATIONBEFORE AND AFTER TH.docx
HRM AND SMALL-FIRM EMPLOYEE MOTIVATIONBEFORE AND AFTER TH.docxpooleavelina
 
Context matters examining ‘soft’ and ‘hard’ approaches to emp.docx
Context matters examining ‘soft’ and ‘hard’ approaches to emp.docxContext matters examining ‘soft’ and ‘hard’ approaches to emp.docx
Context matters examining ‘soft’ and ‘hard’ approaches to emp.docxdickonsondorris
 

Similar to Is it the Job or the Support (20)

© 2016 Laureate Education, Inc. Page 1 of 9 DDBA
© 2016 Laureate Education, Inc.        Page 1 of 9 DDBA © 2016 Laureate Education, Inc.        Page 1 of 9 DDBA
© 2016 Laureate Education, Inc. Page 1 of 9 DDBA
 
Employees’ Growth Need Strength.pdf
Employees’ Growth Need Strength.pdfEmployees’ Growth Need Strength.pdf
Employees’ Growth Need Strength.pdf
 
Relationship of Demographic Variables and Job Satisfaction among Married Women
Relationship of Demographic Variables and Job Satisfaction among Married WomenRelationship of Demographic Variables and Job Satisfaction among Married Women
Relationship of Demographic Variables and Job Satisfaction among Married Women
 
Managerial Psychology By Dr.Mahboob Khan Phd
Managerial Psychology By Dr.Mahboob Khan PhdManagerial Psychology By Dr.Mahboob Khan Phd
Managerial Psychology By Dr.Mahboob Khan Phd
 
Human Resource Management Practices And Workers Job Satisfaction
Human Resource Management Practices And Workers  Job SatisfactionHuman Resource Management Practices And Workers  Job Satisfaction
Human Resource Management Practices And Workers Job Satisfaction
 
How Internal and External Business Effect Employee Turnover intention. AResea...
How Internal and External Business Effect Employee Turnover intention. AResea...How Internal and External Business Effect Employee Turnover intention. AResea...
How Internal and External Business Effect Employee Turnover intention. AResea...
 
Exploring organizational citiz
Exploring organizational citizExploring organizational citiz
Exploring organizational citiz
 
Asif razzaq final Business Research Methods on Employees satisfaction
Asif razzaq final Business Research Methods on Employees satisfactionAsif razzaq final Business Research Methods on Employees satisfaction
Asif razzaq final Business Research Methods on Employees satisfaction
 
Clarifying the Relational Ties of Belonging 2014 knapp smith sprinkle
Clarifying the Relational Ties of Belonging 2014 knapp smith sprinkleClarifying the Relational Ties of Belonging 2014 knapp smith sprinkle
Clarifying the Relational Ties of Belonging 2014 knapp smith sprinkle
 
A Comparative Study Of Employee-Attitude Of Permanent And Temporary Employees...
A Comparative Study Of Employee-Attitude Of Permanent And Temporary Employees...A Comparative Study Of Employee-Attitude Of Permanent And Temporary Employees...
A Comparative Study Of Employee-Attitude Of Permanent And Temporary Employees...
 
Employability and career_success_bridging_the_gap_between_theory_and_reality
Employability and career_success_bridging_the_gap_between_theory_and_realityEmployability and career_success_bridging_the_gap_between_theory_and_reality
Employability and career_success_bridging_the_gap_between_theory_and_reality
 
Employees’ attitudes and efficiency of human resource
Employees’ attitudes and efficiency of human resourceEmployees’ attitudes and efficiency of human resource
Employees’ attitudes and efficiency of human resource
 
Literature review
Literature reviewLiterature review
Literature review
 
5Factors of Engagement
5Factors of Engagement5Factors of Engagement
5Factors of Engagement
 
Final Human Resources Paper
Final Human Resources PaperFinal Human Resources Paper
Final Human Resources Paper
 
A study on organisational citizenship behaviour and organisational commitmen
A study on organisational citizenship behaviour and organisational commitmenA study on organisational citizenship behaviour and organisational commitmen
A study on organisational citizenship behaviour and organisational commitmen
 
11.a two factor model of organizational citizenship behaviour in organizations
11.a two factor model of organizational citizenship behaviour in organizations11.a two factor model of organizational citizenship behaviour in organizations
11.a two factor model of organizational citizenship behaviour in organizations
 
I037054058
I037054058I037054058
I037054058
 
HRM AND SMALL-FIRM EMPLOYEE MOTIVATIONBEFORE AND AFTER TH.docx
HRM AND SMALL-FIRM EMPLOYEE MOTIVATIONBEFORE AND AFTER TH.docxHRM AND SMALL-FIRM EMPLOYEE MOTIVATIONBEFORE AND AFTER TH.docx
HRM AND SMALL-FIRM EMPLOYEE MOTIVATIONBEFORE AND AFTER TH.docx
 
Context matters examining ‘soft’ and ‘hard’ approaches to emp.docx
Context matters examining ‘soft’ and ‘hard’ approaches to emp.docxContext matters examining ‘soft’ and ‘hard’ approaches to emp.docx
Context matters examining ‘soft’ and ‘hard’ approaches to emp.docx
 

Is it the Job or the Support

  • 1. Nonprofit and Voluntary Sector Quarterly 1­–20 © The Author(s) 2017 Reprints and permissions: sagepub.com/journalsPermissions.nav DOI: 10.1177/0899764016685859 journals.sagepub.com/home/nvs Article Is It the Job or the Support? Examining Structural and Relational Predictors of Job Satisfaction and Turnover Intention for Nonprofit Employees Joshua R. Knapp1, Brett R. Smith2, and Therese A. Sprinkle3 Abstract We examine the relative efficacy of two theoretically distinct variables for predicting job satisfaction and turnover intentions for workers in nonprofit organizations. The first, perceived job characteristics, reflects the structure of jobs in terms of autonomy, skill variety, task identity, task significance, and feedback. The second, perceived organizational support, reflects the quality of the employee–organization relationship. We collected data from 196 full-time, nonprofit employees across two time periods, and we tested hypotheses using hierarchical regression and relative importance analysis. Results emphasize the significance of managing employees in a supportive manner and structuring jobs so that employees can work autonomously. Keywords job characteristics, perceived organizational support, relative importance analysis, job satisfaction, turnover intentions, job structure 1University of Wisconsin–Whitewater, WI, USA 2Miami University, Oxford, OH, USA 3Quinnipiac University, Hamden, CT, USA Corresponding Author: Joshua R. Knapp, College of Business and Economics, University of Wisconsin–Whitewater, 809 W. Starin Road, Whitewater, WI 53190-1790, USA. Email: knappjr@uww.edu 685859NVSXXX10.1177/0899764016685859Nonprofit and Voluntary Sector QuarterlyKnapp et al. research-article2017
  • 2. 2 Nonprofit and Voluntary Sector Quarterly  Nonprofit organizations rely extensively on their full-time employees to achieve their goals. Often, these employees are attracted to these kinds of organizations because of their social missions and of the meaningfulness of their work (Macy, 2006). However, there remain concerns about the ability of nonprofit organizations to retain qualified and satisfied full-time employees (Light, 2000). Some of these issues are rooted in demo- graphic trends such as the increasing number of Baby Boomers retiring from nonprofit employment (J. L. Johnson, 2009). Other issues are related to the fact that nonprofit organizations often have flat organizational hierarchies and scarce financial resources. Consequently, they have limited ability to provide material extrinsic rewards such as pay, benefits, and promotion (Handy & Katz, 1998; J. Johnson & Ng, 2016; Light, 2002). Regardless of the reason, managing employee satisfaction and turnover under conditions of economic scarcity is a critical contemporary concern (Nonprofit HR, 2016). As an alternative to managing job satisfaction and turnover intentions through expensive compensation and promotion-oriented human resource practices, we explore a more holistic view of nonprofit employment that examines structural and relational variables. From a structural perspective, we consider perceptions of core job characteristics that reflect degrees of autonomy, feedback, skill variety, task identity, and task significance (Hackman & Oldham, 1975). These kinds of perceptions are judgments related to how tasks are organized. From a relational perspective, we con- sider the perception of organizational support (POS). This kind of perception reflects a judgment related to whether employees believe that their organization values their contributions and cares about their individual well-being (Eisenberger, Huntington, Hutchison, & Sowa, 1986). Interestingly, despite substantial theoretical differences and bodies of empirical research that are distinct from each other, job characteristics and POS are sometimes related to similar desirable employee outcomes (e.g., Humphrey, Nahrgang, & Morgeson, 2007; Kurtessis et al., in press). Given nonprofit organizations’ practical need to manage under conditions of eco- nomic scarcity, and given that job characteristics (a structural variable) and POS (a relational variable) appear to be theoretically distinct predictors of desirable attitudes and behaviors, we designed our research to explore two questions. First, do the percep- tions of job characteristics and POS exhibit simultaneous predictive validity among employees of nonprofit organizations for job satisfaction and turnover intentions? Second, are perceptions of structural job characteristics or the perception of relational POS the most robust predictor? In our study, we seek to make several contributions. First, we develop and test a more holistic understanding of nonprofit employment by bridging the research on organizational job structures with the research on the employee-organization relation- ship. More specifically, we examine and compare core job characteristics (structural) and POS (relational) theories as potential explanations for predicting job satisfaction and turnover for nonprofit employees. This contribution is particularly important because both theories have been developed primarily in for-profit contexts and because nonprofit and for-profit employment are dissimilar in a variety of ways (e.g., compen- sation practices: J. Johnson & Ng, 2016; working conditions: Mirvis & Hackett, 1983; and employee attitudes: Lee, 2016). Thus, we extend our understanding of how these
  • 3. Knapp et al. 3 theories generalize across different employment sectors. Second, we not only intro- duce the concept of POS to the nonprofit literature, but we also provide evidence that it is a particularly robust and important predictor of job satisfaction and turnover inten- tions. Relative importance analysis revealed that POS explained significantly more variance in the dependent variables than any of our other measures. This finding sug- gests that nonprofit employees may care more about their relationship with their orga- nization than they do about how their work is structured. Third, we examine the discrete predictive validity for all five core job characteristics. Through a combination of hierarchical regression and post hoc mediation, we found that autonomy had a direct relationship with job satisfaction and an indirect relationship with turnover intentions that was fully mediated by job satisfaction. No significant relationships were found for the other four core job characteristics when POS was controlled for. These findings are meaningful because they imply that, despite previous research sug- gesting broad applicability of job characteristics theory, the context of nonprofit work may prove to be a partial boundary condition. Job Characteristics and POS as Predictors of Job Satisfaction and Turnover Intentions The Perception of Job Characteristics Hackman and Lawler (1971) observed that structuring jobs to promote efficiency through simplification and specialization (i.e., scientific management) can demotivate employees. They theorized that certain job characteristics facilitate recognition, responsibility, and growth, thereby benefiting employees by fulfilling higher order needs. Building on this idea, Hackman and Oldham (1974, 1975) theorized that five core job characteristics—skill variety, task identity, task significance, autonomy, and feedback—may lead to positive individual-level outcomes. Each component repre- sents a structural element in the overall design of a job that makes it more interesting and engaging. For example, jobs with high skill variety let employees use multiple personal competencies. Employees who work in jobs with high task identity perceive that they are completing a whole and identifiable piece of work. Employees in jobs with high task significance believe their work is important. High autonomy jobs pro- mote responsibility and independence. And finally, high feedback jobs provide infor- mation that helps employees determine whether they are performing the job well. Furthermore, Hackman and Lawlor (1971), Hackman and Oldham (1974), and Hackman and Oldham (1975) suggested that when a job is designed to include optimal levels of these five characteristics, the employee experiences meaningfulness, increased accountability, and self-actualization, resulting in intrinsic motivation to produce optimal work performance. Numerous researchers have built on this work by exploring how the characteristics link to improved attitudes, intentions, and motiva- tion (Humphrey et al., 2007). Although a majority of job characteristics research has been conducted in the for- profit context, similar research of nonprofit organizations tends to take one of three
  • 4. 4 Nonprofit and Voluntary Sector Quarterly  approaches. The first approach is primarily descriptive and examines quantitative job characteristic levels without testing predictive relationships (e.g., Mirvis & Hackett, 1983; Oldham, Hackman, & Stepina, 1978). The second approach tests quantitative predictive relationships but does so by combining individual job characteristic mea- sures into a single composite measure (e.g., Jaskyte, 2008). The third approach draws on job characteristics research as a theoretical mechanism but stops short of collecting core characteristics data (e.g., Bassous, 2015; Benz, 2005). Although we know the job characteristics model applies to the nonprofit workplace, researchers have not yet empirically examined the predictive validity of each core characteristic, which limits our understanding of how specific facets of job structure link to the attitudes and intentions. Using job characteristics to predict job satisfaction.  Job satisfaction, a feeling of content- ment resulting from having job expectations met (Bacharach, Bamberger, & Conley, 1991), is an important variable due to its negative relationship with outcomes detract- ing from organizational functioning (e.g., withdrawal; Tett & Meyer, 1993), and posi- tive relationships with outcomes supporting organizational functions (e.g., citizenship behavior; Bateman & Organ, 1983). And, in for-profit organizations, past research has already documented that all five individual core job characteristics are robust predic- tors of job satisfaction through meta-analysis (e.g., Humphrey et al., 2007). Given that we already know that job characteristics theory is applicable to non- profit contexts when used for descriptive purposes (e.g., Mirvis & Hackett, 1983) and when used for predictive purposes with aggregate measures (e.g., Jaskyte, 2008), we expect the job characteristics-job satisfaction relationship to be generalizable from the for-profit to the nonprofit context. Specifically, autonomy will have a positive rela- tionship with job satisfaction because workers have higher order needs for responsibil- ity and independence. Skill variety will have a positive relationship with job satisfaction because employees prefer interesting jobs. Task identity will have a positive relation- ship with job satisfaction because work becomes more meaningful to employees who know how they are contributing to a larger whole. Task significance will have a posi- tive relationship with job satisfaction because doing jobs that are important enhances employees’ self-worth. Finally, feedback will have a positive relationship with job satisfaction because employees will experience less ambiguity, be better able to gauge the quality of their work, and better know how to improve. Hypothesis 1 (H1): Perceptions of autonomy, skill variety, task identity, task sig- nificance, and feedback will each have positive relationships with job satisfaction. Using job characteristics to predict turnover intentions. Turnover intentions reflect employees’ desire to leave their organization and represent one of the best predictors of actual turnover (Griffeth, Hom, & Gaertner, 2000; Steel & Ovalle, 1984). Previous research, often in for-profit contexts, has predicted a negative relationship between turnover intentions and job characteristics. The logic suggests employees who have engaging and important jobs should be less inclined to quit their jobs because they
  • 5. Knapp et al. 5 fulfill higher order needs. Interestingly, even though the logic for using job character- istics to predict turnover intentions is straightforward, documenting a robust empirical relationship has been elusive in for-profit research. For example, Humphrey et al.’s (2007) meta-analysis did not find a significant relationship between job characteristics and turnover intentions, and Slattery, Selvaragjan, Anderson, and Sardessai’s (2010) more recent study of temporary employees found only small significant relationships with task identity, autonomy, and feedback. One explanation for these previous findings is related to how the job’s larger con- text influences the effects of job characteristics on turnover intentions (Oldham & Hackman, 2010). For example, researchers have acknowledged variance contingent on work type (Yan, Peng, & Francesco, 2011), organizational climates and structures (Morgeson, Dierdorff, & Hmurovic, 2010), and national cultures (Huang & Van De Vliert, 2003). Given variation based on context, the relationship between job charac- teristics and turnover intentions may be muted among for-profit employees because the choice to work in this sector tends to be motivated by economic rewards (Benz, 2005; Leete, 2000). Consequently, for-profit employees may be more willing to con- tinue doing jobs with less desirable characteristics to receive desired extrinsic benefits than their nonprofit counterparts who tend to choose employment based on the nature of their work. Also, after the decision to work in a particular sector is made, nonprofit employees may consider structural job characteristics to be more salient because of the relatively lower pay and promotion opportunities they experience. Thus, for nonprofit employees, we make a prediction that aligns with theory more than past empirical findings: Perceptions of all five core job characteristics will have a negative relation- ship with turnover intentions. Hypothesis 2 (H2): Positive perceptions of autonomy, skill variety, task identity, task significance, and feedback will each have negative relationships with turnover intentions. The POS In contrast to structural job characteristics, POS captures a relational aspect of organi- zational life. Employees who believe their organization values their contributions and cares about their individual well-being (high POS) tend to act and think in a positive manner, while employees who view their organization as uncaring (low POS) tend to think and behave more negatively (Eisenberger, Armelli, Rexwinkel, Lynch, & Rhoades, 2001; Eisenberger et al., 1986). As such, there is a significant body of empir- ical literature that links higher levels of POS to greater job satisfaction and lower turnover intentions (e.g., Kurtessis et al., in press; Rhoades & Eisenberger, 2002; Riggle, Edmondson, & Hansen, 2009) in for-profit contexts through three theoretical dynamics. First, POS improves employees’ sense of well-being by fulfilling relational and socio-emotional needs for self-enhancement and belonging. Consequently, high POS employees often report higher levels of job satisfaction and lower turnover
  • 6. 6 Nonprofit and Voluntary Sector Quarterly  intentions simply because they are receiving desired personal benefits (Kurtessis et al., in press). Second, employees often feel obligated to return like-for-like in a reactionary quid pro quo manner (i.e., the norm of reciprocity; Cropanzano & Mitchell, 2005; Gouldner, 1960). As such, POS can inspire employees to reciprocate in a positive manner (Eisenberger et al., 2001). For example, employees who have been treated politely and fairly may loyally reciprocate by not seeking other employ- ment opportunities. The opposite dynamic is also likely. The perception of unfair and uncaring treatment can generate negative reciprocal reactions, such as with- drawal and anger (Eisenberger, Lynch, Aselage, & Rohdieck, 2004). Third, employ- ees often participate in social exchanges that reflect long-term sequences of actions and reactions. As such, they may engage in mental accounting with an eye toward repayment and investing (Blau, 1964; Cropanzano & Mitchell, 2005). From this perspective, employees who are treated well tend to think and act in a manner sup- porting organizational functions not only because they feel obligated to “pay” for social benefits already received but they also believe that they are earning additional rewards that will be provided at some ambiguous time in the future. Conversely, employees who are treated poorly will tend to become disgruntled and uncoopera- tive because they feel that they are owed past-due rewards, and they do not trust that further investment will result in future benefits. Despite a lack of POS research among nonprofit workers, we believe that POS is likely to be a highly salient issue because of limited opportunities to earn higher wages and because frustration with management is often a key reason for leaving (Brown & Yoshioka, 2003). Indeed, in an organization designed to be exceptionally lean so as to better serve a social mission with limited resources, providing caring support may be one of a few positive levers of influence the organization can imple- ment on a regular basis. For example, nonprofit organizations can adopt a culture that emphasizes open communication (M. W. Allen, 1995) and participative deci- sion-making (D. G. Allen, Shore, & Griffeth, 2003). In this way, they show employ- ees that they care enough to keep them informed and to ask their opinion. Also, while it may be difficult to provide additional rewards, nonprofit organizations can demonstrate care by establishing fair procedures that distribute rewards in a way that accurately reflects work contributions (Rhoades & Eisenberger, 2002). Finally, although promotion opportunities may be limited, it is still possible to demonstrate support by offering training opportunities that expand knowledge and skills in a meaningful way (D. G. Allen et al., 2003). Because POS fulfills socio-emotional needs, we hypothesize that POS will have a positive relationship with job satisfaction. As POS inspires positive reciprocity and encourages ongoing social exchange, we also hypothesize that nonprofit workers with high POS will report lower turnover intentions. Hypothesis 3 (H3): POS will have a positive relationship with job satisfaction. Hypothesis 4 (H4): POS will have a negative relationship with turnover intentions.
  • 7. Knapp et al. 7 Establishing the Relative Importance of POS and Job Characteristics on Outcomes As already noted, the academic literature examining for-profit contexts contains paral- lel bodies of empirical literature that separately link job characteristics and POS to the outcomes of job satisfaction and turnover intentions. What has yet to be answered in any context is whether these variables predict employee attitudes and intentions simul- taneously and robustly. We hypothesize that both kinds of variables offer valid and simultaneous predictors of job satisfaction and turnover intentions, albeit for different reasons. While POS predicts these criteria because it reflects employees’ perception of how they are being treated by their organization, job characteristics predict because they reflect the struc- tural design and organization of the tasks employees do. Although we predict simulta- neous relationships, we also predict that POS will be the relatively more important predictor. That is, POS will explain more variance in job satisfaction and turnover intentions than any of the perceived job characteristics, and this difference will be statistically significant (Tonidandel & LeBreton, 2011; Tonidandel, LeBreton, & Johnson, 2009). This is because the choice to work (Preston, 1989) and continue to work (Brown & Yoshioka, 2003) in nonprofit organizations is often driven by the moral value (Frank, 1996) and social goals (Hull & Lio, 2006) of the organizational mission rather than the nature of the specific job being done. Consequently, workers who perceive that they are being treated well by an organization that they value so highly have a particularly strong reason to be satisfied with their jobs (Benz, 2005) and intend to continue working for them (Borzaga & Tortia, 2006). Hypothesis 5 (H5): POS will be a relatively more important predictor of job satis- faction and turnover intentions than perceived job characteristics. Method Participants and Procedure We recruited participants and collected data online through Cint data collection ser- vices (www.cint.com). This independent contractor provides access to research-quality survey panels. This company verifies member demographics, ensuring that panel members do not complete multiple surveys for the same study, and it removes mem- bers who provide inappropriate responses. An invitation to participate in a longitudinal academic study was e-mailed to mem- bers of a panel who were pre-screened as full-time employees in nonprofit organiza- tions. This invitation linked to a webpage explaining the purpose of the study and informed consent. Only participants who acknowledged this disclosure could access the survey. Respondents were not initially informed that they were contacted based on the nature of their employment, nor were they informed that participation was dependent
  • 8. 8 Nonprofit and Voluntary Sector Quarterly  on full-time employment in a nonprofit. Preliminary screening questions asked respon- dents to identify their employment status. Respondents who did not self-identify as full-time employees of nonprofits were informed that they did not qualify for partici- pation and were blocked from the survey. This procedure helped corroborate the pre- screening criteria and helped alleviate the potential for participants to misrepresent themselves in an attempt to receive incentives. Participants who completed the survey received noncash “points” from Cint as an incentive. They can accumulate and redeem these points for an assortment of premi- ums (e.g., entry into a sweepstakes, gift cards to retailers, charitable donations). The actual value of points given for participating in this study was less than US$5. Online questionnaires were hosted on Zoomerang.com. Separating the web-hosting and data collection services from the recruitment services allowed us to keep respon- dents completely anonymous. Only Cint had access to e-mail addresses of respon- dents, and only we had access to responses on the Zoomerang website. Research designs that use data from a single source run the risk of inflating rela- tionships between variables due to common method variance (Podsakoff, Mackenzie, Lee, & Podsakoff, 2003; Spector, 2006). This dynamic can create problems when a single survey contains self-report measures. To avoid this risk, we collected data for our independent and dependent variables in two different surveys, separated by a 3-month interval. A unique aspect of using online data collection services is that the Time 1 sample size is determined a priori. Data collection is stopped after the contracted number of responses is attained. Using Green’s (1991) guidelines for adequate sample size in multiple regression (Tabachnick & Fidell, 2013), we estimated that we would need at least 130 nonprofit workers to complete both the Time 1 and Time 2 survey. Dropout rates from longitudinal studies are sometimes large, so we contracted for 550 Time 1 participants. After eliminating cases with inappropriate or incomplete responses, we retained 504 Time 1 participants. Then, 3 months later, these respondents were e-mailed an invitation to participate in Time 2, and we received 216 responses. After eliminating cases with inappropriate or incomplete responses, we had a final sample size of 196 individuals who completed both surveys—a 35.63% completion rate. Matching of responses from Times 1 and 2 was done by a respondent-specific code embedded in the invitation e-mails sent out by Cint and identification numbers pro- vided by respondents. Respondents were 82.65% Caucasian and 71.93% female. Average organizational tenure was 8.98 years, ranging from 1 to 43. Average age of respondents was 42.70 years, ranging from 19 to 67. A total of 67.3% of respondents earned less than US$55,000 a year. Measures All independent and dependent variables were measured by using a 7-point Likert- type scale. The perception of job characteristics was measured at Time 1 by using Idaszak and Drasgow’s (1987) revised version of Hackman and Oldhams’s (1974) job
  • 9. Knapp et al. 9 diagnostic survey. Respondents indicated the degree to which their job contained vari- ous characteristics by answering three questions for each of the five job characteristic scales. The skill variety measure (sample item: “The job requires me to use a number of complex or high level skills”) had a Cronbach’s alpha = .85, the task identity mea- sure (sample item: “The job is arranged so that I can do an entire piece of work from beginning to end”) had a Cronbach’s alpha = .82, the task significance measure (sam- ple item: “The job is one where a lot of people can be affected by how well the work gets done”) had a Cronbach’s alpha = .87, the autonomy measure (sample item: “The job gives me considerable opportunity for independence and freedom in how I do my work”) had a Cronbach’s alpha = .83, and the feedback measure (sample item: “After I finish a job, I know whether I performed well”) had a Cronbach’s alpha = .84. We measured POS at Time 1 by using Eisenberger, Fasolo, and Davis-LaMastro’s (1990) 9-item short-form measure. Respondents indicated their level of agreement with state- ments, such as “The organization strongly considers my goals and values” and “The organization really cares about my well-being.” Cronbach’s alpha = .97. Job satisfaction was measured at Time 2 by using Bacharach et al.’s (1991) 5-item measure. This measure asks respondents to indicate the degree to which they are satis- fied with various aspects of their job, including “your present job when you compare it to jobs in other organizations” and “the progress you are making toward the goals set for yourself in your present position.” Cronbach’s alpha = .96. Turnover intentions were measured at Time 2 by using 4 items reflecting employees’ intention to leave their current employer (e.g., Bluedorn, 1982). Respondents indicated their level of agreement with statements, such as “I will still be working for this organization six months from now” and “I would like to quit this organization within the next six months.” Cronbach’s alpha = .92. The control variables of age, gender, tenure, and salary were measured using sin- gle-item questions. Age data were reported in years and were collected so as to par- tially alleviate the concern that generational differences in work values (e.g., Twenge, Campbell, Hoffman, & Lance, 2010) could confound our results. Gender data were indicated by a check box and were collected to account for the tendency of nonprofit organizations to employ more women than men (Themudo, 2009). Tenure data were reported in years and were collected to account for previously known relationships with job satisfaction (Bedeian, Ferris, & Kacmar, 1992) and turnover (Griffeth et al., 2000). Salary data were indicated by marking a check box and were collected to account for nonprofit organizations’ tendency to compensate at lower levels than for- profit organization (Handy & Katz, 1998) and as a proxy for organizational position. Analyses and Results Table 1 reports means, standard deviations, and correlations. Prior to hypotheses test- ing, we evaluated the validity of our measures by using confirmatory factor analysis (CFA). The standards for evaluating our CFA were root-mean-square error of approxi- mation (RMSEA; Steiger, 1990) using a standard of < .08, comparative fit index (CFI; Bentler, 1990) using a standard of > .90, and standardized root-mean-square residual
  • 10. 10 Table1. Means,StandardDeviations,andIntercorrelations. VariablesMSD123456789101112  1. Age42.7011.61   2. Sex.72.45−.21**   3. Tenure8.988.46.51**−.13   4. Salary3.121.63.09−.17*.09   5. SkillVariety4.971.49.13.08.08.28*(.85)   6. TaskIdentity5.351.27.15*.11.03.09.23**(.82)   7. Task Significance 5.831.21.18**.07.07.17*.50**.42**(.87)   8. Autonomy5.611.10.16*.08.11.13.53**.48**.55**(.83)   9. Feedback5.251.24.29**.02.11.21**.44**.53**.49**.63**(.84)  10. POS4.711.53.08.05−.05.12.46**.39**.34**.49**.54**(.97)  11. JobSatisfaction4.971.64.08.12.09.09.46**.31**.39**.52**.44**.62**(.96)  12. Turnover Intentions 2.531.78−.13−.05−.20**−.13−.35**−.21**−.30**−.37**−.29**−.49**−.78**(.92) Note.Ageandtenurereportedinyears.Malecoded0andfemalecoded1.Salarycoded:1=US$25,000,2=US$25,001-US$40,000,3=US$40,001- US$55,000,4=US$55,001-US$70,000,5=US$70,001-US$85,000,6=US$85,001-US$100,000,7≥US$100,000.N=196.Reliabilitiesforindividualmeasures arereportedonthediagonal.Allnoncontrolmeasuresusea7-pointLikert-typescale:1=stronglydisagreeto7=stronglyagree.POS=perceptionof organizationalsupport. *p≤.05.**p≤.01.
  • 11. Knapp et al. 11 (SRMSR, Hu Bentler, 1999) using a standard of .10. Error terms for within-mea- sure reverse coded items were allowed to covary a priori. All items loaded on the intended factor, and the model exceeded our criteria for good fit, RMSEA = .066, CFI = .925, and SRMR = .057. We tested H1 through H4 using hierarchical regression. We entered control vari- ables in step one, job characteristics measures in step two, and the POS measure in step three. Table 2 reports results. When job satisfaction was examined as the criterion without analyzing POS, only skill variety and autonomy were significant predictors in step two. When POS was considered in conjunction with job characteristics in step 3, only tenure, autonomy, and POS were significant predictors. There was a total R2 of .48. When turnover intentions were examined, only tenure and POS had significant relationships, and there was a total R2 of .33. These results provide partial support for H1: Perceived job autonomy and perceived skill variety each explained variance in job satisfaction in step two of the hierarchical regressions, but only autonomy remained a significant predictor in Step 3. H2 was not supported: Job characteristics were not significant predictors of turnover intentions. H3 and H4 were both fully supported in that POS was a consistent predictor. We tested H5 by doing a relative importance analysis using the web-based tool recommended by Tonidandel and LeBreton (2015) at http://relativeimportance.david- son.edu. This methodology holds two advantages over an examination of standardized Table 2.  Results of Hierarchical Regression for POS and Job Characteristics. Job satisfaction Turnover intentions   Step 1 Step 2 Step 3 Step 1 Step 2 Step 3 Age .05 −.08 −.06 −.08 .01 −.01 Sex .16* .06 .07 −.10 −.03 −.05 Tenure .07 .07 .12 −.16 −.16* −.21** Salary .11 −.04 −.02 −.12 −.02 −.03 Skill Variety .22** .11 −.13 −.03 Task Identity .03 −.02 −.03 .02 Task Significance .06 .08 −.09 −.11 Autonomy .28** .21** −.19 −.11 Feedback .14 −.02 −.05 .10 POS .47** −.46** R2 .04 .35 .48 .06 .20 .33 Adjusted R2 .02 .32 .45 .04 .16 .29 ΔR2 .31 .13 .14 .13 df 4 9 10 4 9 10 F 1.87 10.73** 16.56** 3.05* 5.03** 8.80** ΔF 17.17** 45.41** 6.28** 34.42** Note. Standardized coefficients reported. POS = perception of organizational support. *p ≤ .05. **p ≤ .01.
  • 12. 12 Nonprofit and Voluntary Sector Quarterly  regression weights. First, regression can exaggerate differences among independent variables when they are correlated. Relative importance analysis overcomes this issue by transforming independent variables so that their predictive relationships are orthog- onal (Tonidandel LeBreton, 2004, 2011). Second, regression procedures assume that data exhibits multivariate normality. Relative importance analysis does not con- tain this assumption as it uses bootstrapping techniques to test for significant differ- ences in variance explained among predictors (Tonidandel, LeBreton, Johnson, 2009). Our analysis supported H5 as POS was found to explain significantly more variance in job satisfaction and turnover intentions than any of the job characteristics variables as indicated by comparative bootstrapping confidence intervals that were universally below 0 (see Table 3). Results were based on 10,000 bootstrapping replica- tions and tested at alpha .05. Discussion In an effort to better understand full-time workers in nonprofit organizations, we examined how structural (core job characteristics) and relational (POS) perceptions predict job satisfaction and turnover intentions. Contrary to our expectations and some previous empirical findings in for-profit settings (e.g., Humphrey et al., 2007; Slattery et al., 2010), we found that job characteristics had limited predictive validity, particu- larly in the presence of POS. More in line with expectations, we found POS was a consistent and robust predictor. These findings suggest that employees of nonprofits may care more about how they are treated than about their jobs. These findings raise a number of issues for discussion. Table 3.  Test of Significant Differences in Relative Importance Between POS and Job Characteristics. Job satisfaction Turnover intentions   Lower boundary Upper boundary Lower boundary Upper boundary Age −.29 −.13 −.24 −.07 Sex −.29 −.12 −.24 −.07 Tenure −.29 −.12 −.21 −.03 Salary −.29 −.13 −.23 −.07 Skill Variety −.24 −.03 −.20 −.01 Task Identity −.28 −.11 −.23 −.06 Task Significance −.26 −.08 −.22 −.04 Autonomy −.22 −.03 −.20 −.02 Feedback −.24 −.08 −.22 −.06 Note. If 0 is not included within confidence intervals, significant differences in relative importance exist. Negative signs indicate relationship with the criterion is smaller than relationship POS has with the criterion. Results based on 10,000 bootstrapping replications. Tested at alpha .05. POS = perception of organizational support.
  • 13. Knapp et al. 13 Post Hoc Examination of Mediation While not addressed by our initial hypotheses and analyses, job satisfaction can mediate the relationship between predictors and turnover intentions (e.g., Côté Morgan, 2002), and we examined this dynamic post hoc. We used the bootstrapping techniques of Preacher and Hayes (2004) to identify two significant relationships. First, autonomy had a significant indirect relationship with turnover intentions that was fully mediated by job satisfaction. Bias-corrected estimate of indirect effects was −.27, with the 95% confidence interval lower boundary being −.49 and the upper boundary being −.05. Second, the previously identified relationship between POS and turnover intentions was partially mediated by job satisfaction. Bias- corrected estimate of indirect effects operating through job satisfaction was −.45, with the 95% confidence interval lower boundary being −.63 and the upper bound- ary being −.26. These findings lend support to a growing body of literature that identifies job satisfaction as an important mediator that sometimes intervenes between independent and dependent variables. Implications of Findings Related to Core Job Characteristics When controlling for POS, skill variety, task identity, task significance, and feed- back did not predict either job satisfaction or turnover intentions. Only autonomy was found to be a significant predictor in that it had a direct relationship with job satisfaction and an indirect relationship with turnover intentions (identified post hoc) that was fully mediated by job satisfaction. To some extent, these findings are consistent with past research in for-profit settings that has found difficulty identify- ing a theorized relationship between job characteristics and turnover intentions (e.g., Humphrey et al., 2007; Slattery et al., 2010). However, the lack of findings related to satisfaction contrasts with previous research in the for-profit context and suggests that the nonprofit context may be a partial boundary condition to job characteristics theory. Future researchers seeking to determine the extent to which nonprofit employees are truly unique in this regard may benefit from following the example of researchers who collect data in both for-profit and nonprofit contexts so as to pro- vide a more direct comparison (Benz, 2005: Borzaga Tortia, 2006; Brown Yoshioka, 2003). Beyond the nonprofit context, our results also suggest the importance of separately examining the relationships among the five job characteristics. Researchers often expect each of the characteristics to have similar relationships with other variables (e.g., Humphrey et al., 2007), and some researchers have combined the five into a single, aggregated measure (e.g., Jaskyte, 2008; Piccolo Colquitt, 2006). However, only autonomy was a consistent and significant predictor in our data. Thus, we suggest that future researchers design their studies to separately measure each characteristic. By following this advice, they can gain a more finely grained understanding of the relationships and better identify the specific perception(s) that explain variance in their dependent variables.
  • 14. 14 Nonprofit and Voluntary Sector Quarterly  Closing the Gap Between Structural and Relational Research Consistent with research suggesting that nonprofit employees who feel unappreciated leave their organizations (Kim Lee, 2007), we found POS to be a consistent (as determined by hierarchical regression) and important (as determined by relative weight analysis) predictor of higher job satisfaction and lower turnover intentions in our data. Thus, POS appears to be an overlooked but critical predictor of nonprofit employee satisfaction and turnover. Even further, these results provide initial evidence that relational aspects of the work environment may matter more than structural aspects when predicting outcomes in the nonprofit sector. However, our work is only an initial step to future research on bridging the gap between structural and relational theories. Future researchers will want to examine a variety of structure-related knowledge, social environment, and general context vari- ables (Humphrey et al., 2007; Morgeson Humphrey, 2006), each of which has the potential to be a more consistent and important predictor than relational variables. Furthermore, POS represents only one of many relational constructs and may not maintain primacy when examined in conjunction with variables related to employee belonging and need fulfillment (Knapp, Smith, Sprinkle, 2014; Masterson Stamper, 2003). Finally, it is important for future researchers to examine the relative importance of structural and relational aspects of the work environment with a variety of different outcomes, including performance and discretionary behavior (Organ, 1997). Only after these kinds of contingencies are systematically examined will we fully understand how the nature of work structure and the nature of work relationships co-influence employees. Methodological Considerations One strength of our study is the collection of data over two time periods separated by 3 months, which alleviated issues related to common method variance (Podsakoff et al., 2003; Spector, 2006). This longitudinal design is an improvement over many of the cross-sectional tests of job satisfaction and turnover in for-profit and nonprofit set- tings. However, we do acknowledge that a two-stage design is not robust enough to draw conclusions regarding causal influence (Cole Maxwell, 2003). Future research- ers may want to address issues of causality by designing field experiments or collect- ing data over three (or more) time periods. Another strength of our study is that we controlled for variation in age, gender, tenure, and salary, thereby helping to alleviate concerns that our results might be driven by extraneous individual-level variables. Nonetheless, organizations in the nonprofit sector are diverse, and the relationships we have identified may vary accord- ingly. For example, future researchers may find that the perceptions of job character- istics predict satisfaction among employees at larger nonprofits that have corporation-like rewards, cultures, and governance. Researchers who want to examine this potential variation may want to collect and consider additional organizational data related to specific sub-sectors and organizational characteristics.
  • 15. Knapp et al. 15 Another methodological issue worth noting is our choice to use hierarchical regres- sion rather than structural equation modeling (SEM) to test hypotheses. Because H1 to H4 predict direct relationships with a single dependent variable, we felt that regression provided a parsimonious and robust analysis of the data. In contrast, we were con- cerned about the use of SEM because it requires large samples when effect sizes are small. The online calculator (at www.danielsoper.com/statcalc/calculator.aspx?id=89) estimated that we would need 444 respondents to identify an effect size of .2 with a probability level of .05. These concerns being noted, we did perform exploratory SEM analysis and found that the overall pattern of results remained largely the same; the only meaningful difference was that the p value for autonomy’s relationship with sat- isfaction went from being significant at the p .01 level using hierarchical regression to being nonsignificant at the p .06 level using SEM. This change is consistent with our sample size concerns. Practical Implications Managers of nonprofit organizations should generally be cautious when applying pre- scriptions commonly used in for-profit organizations because the nature of the work and work environment may be considerably different. However, we did find POS theory to be generalizable in our sample of nonprofit workers, and we believe that management techniques related to POS should be effective at improving job satisfac- tion and decreasing turnover. Interestingly, many of these techniques require very few economic resources to implement, thereby making them ideal for application in non- profit organization. For example, encouraging open communication (M. W. Allen, 1995), engaging in participative decision-making (D. G. Allen et al., 2003), and estab- lishing fair procedures (Rhoades Eisenberger, 2002) require only a commitment of time and effort. Given that we found few significant relationships related to perceived job charac- teristics, we are more cautious when it comes to prescriptions for job design and enrichment. Autonomy related directly to job satisfaction and indirectly to turnover intentions; thus, a well-executed plan to increase employee independence and respon- sibility should benefit morale and retention. Yet, we caution against a global approach of manipulating all characteristics of every job because none of the other job charac- teristics were significant predictors. These (non)findings suggest that changing other aspects of job structure may have limited benefits. However, it is worth remembering that nonprofit organizations are diverse, and our study did lack controls for organiza- tional variables. Thus, managers will still want to consider the applicability of job enrichment activities in their own context, particularly if their organization contains a large number of menial or repetitive jobs. Conclusion Our pattern of results suggests that researchers and managers would benefit from a more complete understanding of how organizational structures and organizational
  • 16. 16 Nonprofit and Voluntary Sector Quarterly  relationships differentially predict and influence employee outcomes. POS was an important and consistent predictor of job satisfaction and turnover intentions in our study. Job characteristics exhibited limited predictive validity. Thus, it appears that nonprofit employees care more about how they are treated than about the jobs they do, and it is possible that nonprofit organizations represent a partial boundary condition for job characteristics theory. Given these results and potential implications, we believe there is a critical need for additional empirical research aimed at bridging the gap between structural and relational theories. Declaration of Conflicting Interests The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. Funding The author(s) received no financial support for the research, authorship, and/or publication of this article. References Allen, D. G., Shore, L. M., Griffeth, R. (2003). The role of perceived organizational support and supportive human resource practices in the turnover process. Journal of Management, 29, 99-118. doi:10.1177/014920630302900107 Allen, M. W. (1995). Communication concepts related to perceived organizational support. Western Journal of Communication, 59, 326-346. doi:10.1080/10570319509374525 Bacharach, S. B., Bamberger, P., Conley, S. (1991). Work-home conflict among nurses and engineers: Mediating the impact of role stress on burnout and satisfaction at work. Journal of Organizational Behavior, 12, 39-53. doi:10.1002/job.4030120104 Bassous, M. (2015). What are the factors that affect worker motivation in faith-based nonprofit organizations? Voluntas: International Journal of Voluntary and Nonprofit Organizations, 26, 355-381. doi:10.1007/s11266-013-9420-3 Bateman, T. S., Organ, D. W. (1983). Job satisfaction and the good soldier: The relationship between affect and employee “citizenship.” Academy of Management Journal, 26, 587- 595. doi:10.2307/255908 Bedeian, A. G., Ferris, G. R., Kacmar, K. M. (1992). Age, tenure, and job satisfaction: A tale of two perspectives. Journal of Vocational Behavior, 40, 33-48. doi:10.1016/0001- 8791(92)90045-2 Bentler, P. M. (1990). Comparative fit indices in structural models. Psychological Bulletin, 122, 238-246. doi:10.1037//0033-2909.107.2.238 Benz, M. (2005). Not for the profit, but for the satisfaction?—Evidence on worker well-being in nonprofit firms. KYKLOS, 58, 155-176. doi:10.1111/j.0023-5962.2005.00283.x Blau, P. M. (1964). Exchange and power in social life. New York, NY: John Wiley. Bluedorn, A. C. (1982). The theories of turnover: Causes, effects, and meaning. Research in the Sociology of Organizations, 1, 75-128. Borzaga, C., Tortia, E. (2006). Worker motivations, job satisfaction, and loyalty in pub- lic and nonprofit social services. Nonprofit and Voluntary Sector Quarterly, 35, 225-248. doi:10.1177/0899764006287207
  • 17. Knapp et al. 17 Brown, W. A., Yoshioka, C. F. (2003). Mission attachment and satisfaction as factors in employee retention. Nonprofit Management Leadership, 14, 5-18. doi:10.1002/nml.18 Cole, D. A., Maxwell, S. E. (2003). Testing mediational models with longitudinal data: Questions and tips in the use of structural equation modeling. Journal of Abnormal Psychology, 112, 558-577. doi:10.1037/0021-843X.112.4.558 Côté, S., Morgan, L. M. (2002). A longitudinal analysis of the association between emotion regulation, job satisfaction, and intentions to quit. Journal of Organizational Behavior, 23, 947-962. doi:10.1002/job.174 Cropanzano, R., Mitchell, M. S. (2005). Social exchange theory: An interdisciplinary review. Journal of Management, 31, 874-900. doi:10.1177/0149206305279602 Eisenberger, R., Armelli, S., Rexwinkel, B., Lynch, P. D., Rhoades, L. (2001). Reciprocation of perceived organizational support. Journal of Applied Psychology, 86, 42-51. doi:10.1037//0021-9010.86.1.42 Eisenberger, R., Fasolo, P., Davis-LaMastro, V. (1990). Perceived organizational support and employee diligence, commitment, and innovation. Journal of Applied Psychology, 75, 51-59. doi:10.1037/0021-9010.75.1.51 Eisenberger, R., Huntington, R., Hutchison, S., Sowa, D. (1986). Perceived organizational support. Journal of Applied Psychology, 71, 500-507. doi:10.1037/0021-9010.71.3.500 Eisenberger, R., Lynch, P., Aselage, J., Rohdieck, S. (2004). Who takes the most revenge? Individual differences in negative reciprocity norm endorsement. Personality and Social Psychology Bulletin, 30, 789-799. doi:10.1177/0146167204264047 Frank, R. H. (1996). What price the moral high ground? Southern Economic Journal, 63, 1-17. doi:10.2307/1061299 Gouldner, A. W. (1960). The norm of reciprocity: A preliminary statement. American Sociological Review, 25, 161-178. doi:10.2307/2092623 Green, S. B. (1991). How many subjects does it take to do regression analysis? Multivariate Behavioral Research, 26, 449-510. doi:10.1207/s15327906mbr2603_7 Griffeth, R. W., Hom, P. W., Gaertner, S. (2000). A meta-analysis of antecedents and correlates of employee turnover: Update, moderator tests, and research implications for the next millennium. Journal of Management, 26, 463-488. doi:10.1016/S0149- 2063(00)00043-X Hackman, J. R., Lawler, E. E. (1971). Employee reactions to job characteristics. Journal of Applied Psychology, 55, 259-286. doi:10.1037/h0031152 Hackman, J. R., Oldham, G. R. (1974). The Job Diagnostic Survey: An instrument for the diagnosis of jobs and the evaluation of job redesign projects. Available from http://eric. ed.gov/ Hackman, J. R., Oldham, G. R. (1975). Development of the Job Diagnostic Survey. Journal of Applied Psychology, 60, 159-170. doi:10.1037/h0076546 Handy, F., Katz, E. (1998). The wage differential between nonprofit institutions and cor- poration: Getting more by paying less? Journal of Comparative Economics, 26, 246-261. doi:10.1006/jcec.1998.1520 Hu, L., Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structural analy- sis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55. doi:10.1080/10705519909540118 Huang, X., Van De Vliert, E. (2003). Where intrinsic job satisfaction fails to work: National moderators of intrinsic motivation. Journal of Organizational Behavior, 24, 159-179. doi:10.1002/job.186
  • 18. 18 Nonprofit and Voluntary Sector Quarterly  Hull, C. E., Lio, B. H. (2006). Innovation in nonprofit and for-profit organizations: Visionary, strategic, and financial considerations. Journal of Change Management, 6, 53-65. doi:10.1080/14697010500523418 Humphrey, S. E., Nahrgang, J. D., Morgeson, F. P. (2007). Integrating motivational, social, and contextual work design features: A meta-analytic summary and theoretical extension of the work design literature. Journal of Applied Psychology, 92, 1332-1356. doi:10.1037/0021-9010.92.5.1332 Idaszak, J. R., Drasgow, F. (1987). A revision of the Job Diagnostic Survey: Elimination of a measurement artifact. Journal of Applied Psychology, 72, 69-74. doi:10.1037//0021- 9010.72.1.69 Jaskyte, K. (2008). Employee creativity in U.S. and Lithuanian nonprofit organizations. Nonprofit Management Leadership, 18, 465-483. doi:10.1002/nml.198 Johnson, J., Ng, E. (2016). Money talks or Millennials walk: The effect of compensation on nonprofit Millennial workers sector-switching intentions. Review of Public Personnel Administration, 36, 283-305. doi:10.1177/0734371X15587980 Johnson, J. L. (2009). The nonprofit leadership deficit: A case for more optimism. Nonprofit Management Leadership, 19, 2185-2304. doi:10.1002/nml.220 Kim, S., Lee, J. (2007). Is mission attachment an effective management tool for employee retention? An empirical analysis of a nonprofit human services agency. Review of Public Personnel Administration, 27, 227-248. doi:10.1177/0734371X06295791 Knapp, J. R., Smith, B., Sprinkle, T. (2014). Clarifying the roles of psychological owner- ship, perceived insider status, and organizational identification. Journal of Leadership Organizational Studies, 21, 273-285. doi:10.1177/1548051814529826 Kurtessis,J.N.,Eisenberger,R.,Ford,M.T.,Buffardi,L.C.,Stewart,K.A.,Adis,C.S.(inpress). Perceived organizational support: A meta-analytic evaluation of organizational support the- ory. Journal of Management. Advance online publication. doi:10.1177/0149206315575554 Lee, Y.-j. (2016). Comparison of job satisfaction between nonprofit and public employees. Nonprofit and Voluntary Sector Quarterly, 45, 295-313. doi:10.1177/0899764015584061 Leete, L. (2000). Wage equity and employee motivation in nonprofit and for-profit organiza- tions. Journal of Economic Behavior Organization, 43, 423-446. doi:10.1016/S0167- 2681(00)00129-3 Light, P. C. (2000). Making nonprofits work: A report on the tides of nonprofit management reform. Washington, DC: Brookings Institution Press. Light, P. C. (2002). The content of their character: The state of the nonprofit workforce. Nonprofit Quarterly, 9, 6-19. Macy, G. (2006). Outcomes of values and participation in values-expressive nonprofit agencies. Journal of Behavioral Applied Management, 7, 165-181. Masterson, S. S., Stamper, C. L. (2003). Perceived organizational membership: An aggregate framework representing the employee-organization relationship. Journal of Organizational Behavior, 24, 473-490. doi:10.1002/job.203 Mirvis, P. H., Hackett, E. J. (1983). Work and work force characteristics in the nonprofit sec- tor. Monthly Labor Review, 103, 3-12. doi:10.1126/science.323.5918.1161a Morgeson, F. P., Dierdorff, E. C., Hmurovic, J. L. (2010). Work design in situ: Understanding the role of occupational and organizational context. Journal of Organizational Behavior, 31, 351-360. doi:10.1002/job.642 Morgeson, F. P., Humphrey, S. E. (2006). The Work Design Questionnaire (WDQ): Developing and validating a comprehensive measure for assessing job design and the nature of work. Journal of Applied Psychology, 91, 1321-1339. doi:10.1037/0021-9010.91.6.1321
  • 19. Knapp et al. 19 Nonprofit HR. (2016). 2016 nonprofit employment practices survey results. Retrieved from http://www.nonprofithr.com/wp-content/uploads/2016/04/2016NEPSurvey-final.pdf Oldham, G. R., Hackman, J. R. (2010). Not what it was and not what it will be: The future of job design research. Journal of Organizational Behavior, 31, 463-479. doi:10.1002/job.678 Oldham, G. R., Hackman, J. R., Stepina, L. P. (1978). Norms for the job diagnostic survey (Technical Report Number-06). Retrieved from http://oai.dtic.mil/oai/oai?verb=getRecord metadataPrefix=htmlidentifier=ADA057268 Organ, D. W. (1997). Organizational citizenship behavior: It’s construct clean-up time. Human Performance, 10, 85-97. doi:10.1207/s15327043hup1002_2 Piccolo, R. F., Colquitt, J. A. (2006). Transformational leadership and job behaviors: The mediating role of core job characteristics. Academy of Management Journal, 49, 327-340. doi:10.5465/AMJ.2006.20786079 Podsakoff, P., Mackenzie, S., Lee, J., Podsakoff, N. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88, 879-903. doi:10.1037/0021-9010.88.5.879 Preacher, K. J., Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, Computers, 36, 717-731. doi:10.3758/BF03206553 Preston, A. E. (1989). The nonprofit worker in a for-profit world. Journal of Labor Economics, 7, 438-463. doi:10.1086/298216 Rhoades, L., Eisenberger, R. (2002). Perceived organizational support: A review of the litera- ture. Journal of Applied Psychology, 87, 398-714. doi:10.1037//0021-9010.87.4.698 Riggle, R. J., Edmondson, D. R., Hansen, J. D. (2009). A meta-analysis of the relationship between perceived organizational support and job outcomes: 20 years of research. Journal of Business Research, 62, 1027-1030. doi:10.1016/j.jbusres.2008.05.003 Slattery, J. P., Selvaragjan, T. T., Anderson, J. E., Sardessai, R. (2010). Relationship between job characteristics and attitudes: A study of temporary employees. Journal of Applied Social Psychology, 40, 1539-1565. doi:10.1111/j.1559-1816.2010.00628.x Spector, P. E. (2006). Method variance in organizational research: Truth or urban legend? Organizational Research Methods, 9, 221-232. doi:10.1177/1094428105284955 Steel, R. P., Ovalle, N. K. (1984). A review and meta-analysis of research on the relationship between behavioral intentions and employee turnover. Journal of Applied Psychology, 69, 673-686. doi:10.1037//0021-9010.69.4.673 Steiger, J. H. (1990). Structural model evaluation and modification: An interval esti- mation approach. Multivariate Behavioral Research, 25, 173-180. doi:10.1207/ s15327906mbr2502_4 Tabachnick, B. G., Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Boston, MA: Pearson. Tett, R. P., Meyer, J. P. (1993). Job satisfaction, organizational commitment, turnover inten- tion, and turn-over: Path analyses based on meta-analytic findings. Personnel Psychology, 46, 259-293. doi:10.1111/j.1744-6570.1993.tb00874.x Themudo, N. S. (2009). Gender and the nonprofit sector. Nonprofit and Voluntary Sector Quarterly, 38, 663-683. doi:10.1177/0899764009333957 Tonidandel, S., LeBreton, J. M. (2004). History and use of relative importance indices in organizational research. Organizational Research Methods, 7, 238-257. doi:10.1177/ 1094428104266510
  • 20. 20 Nonprofit and Voluntary Sector Quarterly  Tonidandel, S., LeBreton, J. M. (2011). Relative importance analysis: A useful supplement to regression analysis. Journal of Business and Psychology, 26, 1-9. doi:10.1007/s10869- 010-9204-3 Tonidandel, S., LeBreton, J. M. (2015). A free, comprehensive, web-based, and user-friendly tool for relative weight analyses. Journal of Business and Psychology, 30, 207-215. doi:10.1007/s10869-014-9351-z Tonidandel, S., LeBreton, J. M., Johnson, J. W. (2009). Determining the statistical signifi- cance of relative weights. Psychological Methods, 14, 387-399. doi:10.1037/a0017735 Twenge, J. M., Campbell, S. M., Hoffman, B. J., Lance, C. E. (2010). Generational differ- ences in work values: Leisure and extrinsic values increasing, social and intrinsic values decreasing. Journal of Management, 36, 1117-1142. doi:10.1177/0149206309352246 Yan, M., Peng, K. Z., Francesco, A. M. (2011). The differential effects of job design on knowledge workers and manual workers: A quasi-experimental field study in China. Human Resource Management, 50, 407-424. doi:10.1002/hrm.20428 Author Biographies Joshua R. Knapp is Associate Professor of Human Resources and Organizational Behavior at the University of Wisconsin–Whitewater. His PhD was granted by the University of Cincinnati. His primary research interests relate to understanding how employees navigate the organiza- tional environment, including topics related to social exchange, social cognition, and employee- organization relationships. Brett R. Smith is Professor of Entrepreneurship and Founding Director, Center for Social Entrepreneurship, at the Farmer School of Business, Miami University (Ohio). His research interests focus on social entrepreneurship with specific emphases on identity, scaling, and development models. Therese A. Sprinkle is Assistant Professor of Management at Quinnipiac University. She received her PhD from the University of Cincinnati after a long corporate career. She is keenly interested in organizational justice, leadership, and roles/role behavior.