592:The potential cons/problems associated with using temporary employees as part of your workforce.
Journal of Organizational Behavior
J. Organiz. Behav. 23, 425–453 (2002) Published online in Wiley InterScience (www.interscience.wiley.com). DOI: 10.1002/job.148
Boundaryless and traditional contingent employees: worlds apart
JANET H. MARLER 1 *, MELISSA WOODARD BARRINGER
2
AND GEORGE T. MILKOVICH 3
1 School of Business, University at Albany, S.U.N.Y., U.S.A.
2 Isenberg School of Management, University of Massachusetts, U.S.A.
3 School of Industrial and Labor Relations, Center for Advanced Human Resource Studies, Cornell University, U.S.A.
Summary We find support for distinguishing between two types of contingent workers: boundaryless and traditional. The existence of these two types helps explain the conflicting views about contin- gent work in the literature. Using hierarchical cluster and multivariate analysis on a national survey of 614, and a regional sample of 276 temporary employees, we also find that these two types exhibit different work attitudes and behaviors. What distinguishes boundaryless tempor- aries from others is their preference for temporary work and level of skill and experience. Results also show that the performance of traditional temporaries is more sensitive to attitudes than boundaryless temporaries. After controlling for level of work satisfaction, traditional temporaries reported higher task and contextual performance. We discuss the implications of these findings for theory development, organization practice and public policy. Copyright # 2002 John Wiley & Sons, Ltd.
Introduction
One of the most notable human resource trends in the past decade has been the extraordinary growth in
contingent employment arrangements. With growth rates significantly higher than conventional
employment, contingent employment relationships have attracted both popular and academic atten-
tion, much of it contradictory. For example, several researchers indicate the trend is creating a worker
underclass (Kalleberg, Reskin, & Hudson, 2000), with low wages, no benefits, negligible job security,
little training and no possibility of advancement (Segal & Sullivan, 1997b; McAllister, 1997;
Kalleberg et al., 1997; Barker & Christiensen, 1998; Parker, 1994; Rogers, 1995, 2000). Symptomatic
of a new ‘political economy of insecurity’ in which ‘labour market flexibility has become a political
Copyright # 2002 John Wiley & Sons, Ltd.
* Correspondence to: Janet H. Marler, School of Business, University at Albany, S.U.N.Y. Albany, New York 12222, U.S.A. E-mail: [email protected]
Contract/grant sopnsor: Alfred P. Sloan Foundation. Contract/grant number: #96-6-9. Contract/grant number: #99-6-23.
mantra’ and risk is redistributed ‘away from the state and the economy and towards the individual’
contingent work is viewed as a threat to social welfare (Beck, 2000, p. 3). A competing view suggests
the trend is consistent with the emergence of boundaryless career strategies (Sullivan, 1999; Arthur
and Rousseau, 1995) stemming from employers’ emphasis on employability, flexibility (Capelli,
1999), and network technologies (Miles & Snow, 1996), and from an increasingly diverse work force
that includes growing demand for career flexibility among dual career families, single parents, and
older workers transitioning to retirement (Albert & Bradley, 1997; Bailyn, 1993; Capelli, 1999; Kohli,
1994; Moen and Yu, 1999).
Perhaps both views have merit. As Rogers (2000, p. 2) and others note, ‘temporary employment has
many faces’ and can not be summed up as either all ‘good’ or all ‘bad.’ Rogers (2000, p. 10) cautions
against assuming ‘that the ‘temporary’ component of contingent employment is the primary identify-
ing factor for these workers,’ although it is clearly an important and shared influence. She suggests that
the meaning of these work arrangements depends also on ascriptive attributes of the workers (e.g.,
class, gender, race) and conditions in the specific labor markets of their occupations.
Recent attempts to extend theory beyond the confines of assumed conventional employment rela-
tionships also yield conflicting views. For example, Tsui, Pearce, Porter and Hite (1995) suggest that
the primarily transactional nature of contingent arrangements may be detrimental to organizational
performance. In contrast, Matusik and Hill (1998) and Lepak and Snell (1999) theorize that, contrary
to popular belief, contingent employees may in fact create valuable new knowledge and more effective
organizations. There is agreement, however, that heterogeneity within these alternative employment
arrangements needs to be better understood in order to inform organizational and public policy makers
(Von Hippel, Mangum, Greenberger, Heneman, & Skoglind, 1997; Kunda, Barley, & Evans, 2002;
McLean Parks, Kidder, & Gallagher 1998; Gallagher & McLean Parks, 2000; Kalleberg, Reskin, &
Hudson, 2000).
Theoretical discourse about contingent work is part of a larger discussion about the changing work-
place. For instance, theorists adopting a postmodern perspective examine the implications of a ‘pro-
found transformation in the logic of modern, industrial society’ (Gephart, 1996, p. 34). Although the
meaning of this transformation is context-specific, many of the ‘stories’ told by postmodern theorists
reflect a general trend toward uncertainty and risk in the workplace. Gephart (1996, p. 38), for exam-
ple, posits that, in the postmodern organization, ‘commitment and motivation will likely be trans-
formed into quasi-contractual commitments to particular projects undertaken by transient work
teams composing temporary organizational fiefdoms.’ Smith (2001, p. 3) draws on the traditions of
labor process theory, flexible specialization, and dual labor markets to ‘untangle the contradictory
strands present in the contemporary transformation of jobs and work organizations.’ She challenges
the simplistic division of today’s work into ‘bad’ contingent jobs and ‘good’ permanent standard jobs,
and argues ‘that uncertainty and unpredictability, and to varying degrees personal risk, have diffused
into a broad range of postindustrial workplaces’ (Smith, 2001, p. 7).
Our study examines the changing landscape of the postindustrial workplace by focusing on the fast-
est growing segment of the workforce and contingent employment arrangements: temporary agency
employees (Kalleberg, Reskin, & Hudson, 2000; Segal, 1996). To explore the differences that exist
among workers in this sector of the labor market, we used a national probability sample and a regional
sample of temporary agency employees. Adopting a rich multi-disciplinary framework drawing from
economics, industrial organizational psychology, organizational theory, and sociology, and an explora-
tory empirical methodology cluster analysis, we propose and empirically test the existence of two pri-
mary types of temporary agency employees — traditional and boundaryless. Traditional temporaries
represent the typical notion of temporary employee, someone with limited skills, hoping to find stan-
dard work within a bureaucratic organization (Rogers, 2000). Boundaryless connotes being outside or
opposite to being within one organization (Arthur & Rousseau, 1995) and boundaryless temporaries
426 J. H. MARLER ET AL.
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refer to individuals whose current career consists of ‘quasi-contractual’ commitments/temporary pro-
jects voluntarily arranged through temporary employment agencies.
We believe these two types exemplify the different perspectives in the literature on contingent
employment. We show that these two types differ significantly along several theoretically derived
dimensions related to skill and preference, and also to work attitudes and behaviors. These findings
are important because they provide generalizable empirical evidence of significant heterogeneity in
contingent employment, which only recently is acknowledged as a developing trend, and underscores
the need to take diversity into account when developing organizational strategies and when making
pay and public policy decisions.
The paper is divided into three sections. The first section develops a theoretical perspective that sup-
ports the expectation of heterogeneity within temporary labor markets. Section two describes the
methods and results of the empirical analyses. We conclude with a discussion of our findings and
the implications for practice, research and policy.
Definitions and Theoretical Background
The temporary workforce
We use the BLS definitions of contingent work and temporary employment arrangements in this paper.
They capture the most important aspect of this work: the externalization and weak connection between
workers and firms (Pfeffer & Barron, 1988). Contingent work is defined as ‘any job in which an indi-
vidual does not have an explicit or implicit contract for long-term employment’ (Polivka, 1996a, p. 4).
Temporary refers to jobs that are arranged by an employment intermediary or agency. Under this defi-
nition, about two-thirds of temporary employees are also contingent (Polivka, 1996a) and they com-
prise somewhere between 1.5 and 5 per cent of all workers (Cohany, 1998; Segal, 1996).
A demand and supply framework: heterogeneity in skills and preference
Heterogeneity within the temporary work force is influenced by both demand and supply factors.
Demand factors are associated with varying skill requirements, increasing demand for flexibility, cost
reduction, and the growth of intermediaries such as temporary help agencies to satisfy these organiza-
tional demands. Demand factors have implications for supply factors, which we develop in terms of
differences in individual preferences for contingent work.
Demand factors: variable skill requirements, cost reduction and temporary help agencies We propose a two-part explanation for increasing demand for temporary employees. The first relates to
changes in organizations’ competitive strategies that have created demand for both high and low skill
workers. The second links the growth of intermediary institutions to the increased attractiveness of
temporary work arrangements to both organizations and workers.
One view of the decision to use temporary employees suggests that it is part of an organization’s
strategic process aimed at increasing profitability and shareholder return. Lepak and Snell (1999) sug-
gest that organizations adopt staffing strategies that are consistent with their particular human resource
needs. Drawing on resource-based theory (Barney, 1991; Wright, McMahan, & McWilliams, 1994),
they argue that organizations enhance their value by determining which human resource capabilities
should remain within the firm (specific skills) and which should be acquired in the market (general
BOUNDARYLESS AND TRADITIONAL CONTINGENT EMPLOYEES 427
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skills). Knowledge, skills, and abilities that contribute to a firm’s unique capabilities should be devel-
oped within the firm and those that don’t should be acquired on demand in the external labor market.
Capabilities categorized as low value do not justify a high level of commitment and are best acquired
in the external market.
This logic is also consistent with the economic transaction cost model (Williamson, 1990). Transac-
tions that are neither unique, nor asset specific, can be easily imitated and supplied in the market. With
many market alternatives, the more costly bureaucratic internal labor market associated with conven-
tional full-time employment arrangements is not justified or competitive. Capabilities that are too spe-
cialized are needed too infrequently to justify incurring full-time employment costs, such as
the overhead associated with recruiting, compensation and benefit administration, training, perfor-
mance evaluation, and so on. When economies of scale are not achieved, these skills are better
acquired in the external labor market on a temporary basis.
Under these perspectives, organizations ‘buy’ more skills in the external labor market by externaliz-
ing certain employment relationships (Pfeffer & Barron, 1988; Abraham & Taylor, 1996). As noted
above, the different circumstances under which these organizations decide to adopt such a strategy will
be associated with different decisions about the skills that are purchased. Lepak and Snell (1999)
identify two types of external employment arrangements: out-sourcing and partnering. Out-sourcing,
which involves acquiring low value, low unique skills, is akin to hiring temporary office staff. Partner-
ing entails engaging someone with unique skills for a short period of time (e.g., a temporary software
engineer). Lautsch (1999) made similar distinctions in her qualitative study of the organizational use
of temporary workers across occupations and skills. She identified two main strategies: cost-reduction
and flexibility. A flexible strategy, like partnering, generally involves higher skilled temporaries.
These workers are integrated with regular employees, performing the same tasks and often earning
greater wages, but have no implicit contract for long-term employment. The cost-reduction strategy
corresponds roughly to outsourcing in that it is achieved by employing temporaries with fewer
skills.
These emerging staffing strategies have resulted in a dramatic increase in the demand for both high
and low skill temporary workers, and, in turn, favorable environments for temporary help agencies.
Increased outsourcing and lay-offs create economies of scale for the temporary help industry, lowering
their costs and increasing their profits (Segal & Sullivan, 1997a). With increasing profitability, the tem-
porary help services industry has grown dramatically, providing a greater supply and variety of tem-
porary services. Greater variety, availability, and lower costs make temporary employment more
attractive to organizations, and encourage further substitution of temporary workers for permanent
workers at both low and high skill levels. Indeed, the number of temporary help service (‘THS’) com-
panies in the United States grew from 3133 to 10 611 between 1975 and 1987 (Carnoy, Castells, &
Benner, 1997). Further, 20 per cent of new jobs created between 1991 and 1993 in the United States
were temporary jobs (Von Hippel et al., 1997).
In sum, theory and some evidence suggest that the demand for temporary labor is not homogeneous.
Temporary workers with both low and high skills are becoming increasingly attractive to organizations
seeking to minimize labor costs and maximize flexibility. Thus we would expect to see the existence of
not just lower skilled temporaries such as clerks and receptionists but also temps with specialized skills
such as accountants, lawyers, engineers, and medical professionals. We next consider the attributes of
workers who may be willing to accept such employment.
Supply factors: human capital theory, boundaryless careers, and preferences for temporary work Human capital theory suggests that individuals do not invest in skill development unless the present
value of the returns on these investments is greater than the present value of the costs (Becker, 1992).
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Individuals who invest in their own skill development by, for example, attending college or participat-
ing in a lengthy apprenticeship, expect to earn higher salaries to justify the out-of pocket costs of edu-
cation, the foregone earnings, and the effort required for their investment. The investment is made in
expectation of higher earnings over a substantial period of time. Workers who have made such invest-
ments would prefer longer-term employment. According to this logic, the only workers who would be
willing to supply labor to temporary help agencies would be those with few human capital investments.
Generally, the empirical evidence supports this prediction. Cohany (1996) shows that the majority of
temporary workers is younger and less educated than traditional workers, and are therefore more likely
to have less experience and formal training.
Human capital theory also postulates the conditions under which organizations choose to invest in
developing employee skills (Becker, 1992). Few employers will invest in general skills training (those
skills that are standardized and can be easily duplicated in the market, e.g., computer programming)
and if they do, then the employee bears the costs through lower wages (see Bishop, 1994 for a review).
Organization specific training, in contrast, involves developing skills that are valuable primarily to the
organization. Unlike general training, the employee shares both the benefits (e.g. higher wages after
training) and costs (e.g. lower wages during training) of training. In the case of temporary workers,
however, neither the organization nor the worker could expect to reap the benefits and recoup their
costs. Hence, temporaries have fewer opportunities and less incentive to invest in firm-specific skills,
but without such skills they are less productive and earn lower wages. Because of such limitations on
skill and earnings growth, employees may prefer the longer-term employment arrangements of inter-
nal labor markets, where their skills earn higher wages and are the basis for upward mobility
(Osterman, 1984).
In sum, human capital theory implies that few workers should be interested in working in temporary
positions; most will seek positions where specific skills should result in higher wages for a longer
duration. Those who do accept temporary jobs are likely to have few skills and a strong interest
in gaining access to a traditional job, where they can develop specific skills, earn more and gain job
security.
These conclusions rest on two assumptions. The first assumption is that workers’ decisions about
employment are primarily influenced by financial outcomes. A substantial literature, however, finds
that the value, or importance, of work outcomes varies across individuals (Bartol & Locke, 2000).
For example, some workers may place a high value on variety, or autonomy. Bradach’s (1997 — unpub-
lished manuscript) interviews of temporary executives and computer programmers provide evidence of
such values. He found that many preferred to maintain their independence from any one organization.
Similarly, Kunda, Barley, and Evans (2002), in their sample of technology contract workers, and
Rogers (2000) in her sample of temporary lawyers found that many liked working outside organiza-
tional boundaries because of the flexibility and the ability to separate themselves from organizational
politics, incompetence and inequities. Finally, a study by the National Association of Temporary Staff-
ing Specialists (NATSS) identified a group that consisted primarily of older females who desired flex-
ibility but were not the family breadwinners (Steinberg, 1994).
The second assumption is that temporary employment prevents high-skill workers from recouping
their investments in human capital. However, as noted above, the outlook for workers in the temporary
help industry is changing. As organizations continue to increase their use of temporary workers, tem-
porary help agencies increase their volume assignments. With greater volume, these agencies are pro-
viding the work continuity and variety necessary to induce more workers to consider temporary
assignments. Hence, the increasing demand for temporary workers has diminished the risks associated
with temporary job insecurity. Individuals with specialized skills can be more assured of a string of
opportunities, which mitigates a major disadvantage that may have served to inhibit them from con-
sidering temporary work in the past.
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Furthermore, temporary workers may actually increase their value in the marketplace if, by holding
jobs in multiple firms, they are able to accumulate general skills valued by organizations. General skill
accumulation is defined as the level of investment in human capital, general skills, experience, and
transferable competencies (Becker, 1992; Sullivan, 1999). Baker and Aldrich (1996) argue that knowl-
edge accumulation is an important attribute of a career. It represents skill development (general and
firm specific) that evolves from work experience and training, both of which influence opportunities
for further development and wage growth. According to this logic, experience gained from working for
multiple firms facilitates the accumulation of transferable specific skills and increases individuals’
marketability and earnings potential. The accumulation of skills may be particularly favorable for indi-
viduals trained in certain recognized and codified occupations or professions, such as accountants,
lawyers, engineers, where general skills can be augmented with multiple firm-specific experiences
(Tolbert, 1996) or for those in craft-like occupations (Osterman, 1984). Thus, it isn’t the case that valu-
able skill accumulation can only occur within an organizational boundary or that only firm-specific
skills carry wage premiums as human capital theory suggests. Matusik and Hill (1998) point out that
those outside organizational boundaries can provide new knowledge that would not have been intern-
ally developed and this new knowledge carries great value to the organization, particularly in dynamic
and competitive industries. Lautsch (1999 — unpublished manuscript) also shows that firms are willing
to pay wage premiums for numerical and skill flexibility.
Hence, both theory and recent evidence suggest that workers in the temporary help industry are
likely to vary in their preference for this type of employment and in their opportunities for skill
accumulation and wage growth. Consequently, while government data indicate that over 60 per cent
of temporary workers wanted a permanent work arrangement, there is also a sizeable minority who
actually prefer their temporary status (Cohany, 1996). Evidence also suggests that although blue
and pink-collar jobs comprise the majority of temporary work, there are also a growing number of
professional, technical and managerial positions (Cohany, 1996; Segal & Sullivan, 1997a). We believe
that the latter group is part of a growing group of workers who have adopted an alternative, ‘boundary-
less’ career path, one that is opposite to bureaucratic career, one of independence from, rather than
dependence on, traditional organizational career arrangements (Arthur & Rousseau, 1996). In contrast
to careers that involve a sequence of jobs within one internal labor market, boundaryless careers
reflect career paths that go beyond the boundaries of single employment settings (DeFillippi & Arthur,
1996).
As job security and promotional opportunities within larger organizations decline, individuals may
view multiple employer experiences in a positive light because it supports skill development, increases
marketability, shifts career control to the employee, and perhaps results in better matching career and
family life-cycle demands. As such, boundarylessness represents a different conception of job security.
The key benefit of working within an organization is the sense of social and economic security it
affords (Kunda, Barley, & Evans, 2002). When individuals become boundaryless their security is
rooted in their own skills and ability to sell those skills in the external labor market. Their worth is
validated outside the organization. For example, in their study of technology contractors, Kunda,
Barley, and Evans (2002) noted that security came with experience in selling skills and that security
was not about keeping a job but about how easily one could find another job. Skill development is
clearly an important component of the boundaryless career.
Boundaryless careers take many forms, and may involve the ‘transitions across organizational
boundaries’ that are characteristic of temporary employment (Sullivan, 1999, p. 464). Hence, many
workers who may prefer a boundaryless career may be drawn to the temporary help industry. Such
workers value general skill accumulation and have invested more than other temporaries in their
human capital. They prefer temporary work arrangements with multiple firms because of the oppor-
tunities for skill development.
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We believe that those who prefer boundaryless careers are an emerging group different from our tra-
ditional notion of temporary workers because they perceive their careers differently. Aldrich & Baker
(1996) suggest that boundaryless careerists are comfortable with multiple employer assignments
because they provide opportunities to increase skills and knowledge. They are less likely to look for
a permanent job because they increase their value and marketability by accumulating knowledge across
employers. They also identify with their occupation or skill set and not with the organization that they
work for. We expect, therefore, that boundaryless temporaries will perceive their work differently, as a
way to improve their marketability and reduce their risk of dependence on any single organization.
A bifurcated temporary labor market
The above discussion of demand and supply factors influencing the labor market suggests that the tem-
porary workforce will vary along two key dimensions: skill accumulation and employment prefer-
ences. Further, both theory and evidence suggests that these dimensions are not orthogonal, they
are positively related. Higher skill will coincide with preference for temporary work similar to a boun-
daryless career. Low skilled individuals are more likely to seek a standard job with a single employer.
Thus, there should be, and we propose, two primary types of temporary worker. We expect one type to
be the ‘traditional’ temporary worker: low skill and a preference for traditional, long-term employment
that is consistent with the predictions based on human capital theory. The other type we refer to as a
‘boundaryless’ temporary worker: high skill and a preference for non-traditional employment arrange-
ments, that is consistent with the notion of boundaryless careers and changing organizational strategies
based on economic transaction theory. Therefore, we propose:
Hypothesis 1a: Temporary employee skill level and preference for temporary employment are not
independent.
Hypothesis 1b: Temporary employees will form two distinct groups that will differ significantly in
skill and preference for temporary employment arrangements. One group will comprise individuals
with low skill and low preference for temporary employment and the other group will consist pri-
marily of higher skilled individuals with a high preference for temporary employment arrangements.
In addition to this combination of skill and preference, we expect that these two types will have
several other related characteristics derivative of the same demand and supply factors.
As discussed above, the growth of the temporary staffing industry has resulted in more favorable
conditions for skilled workers. Temporary help or staffing agencies lower the risks and costs of job
search and placement, increasing the opportunities for multiple contracts. Higher wages may attract
higher skilled individuals, but to induce workers to switch to contract work, they must perceive oppor-
tunities for multiple assignments. Thus we further expect that:
Hypothesis 2: There will be a significant difference between how the two types perceive alternative
job opportunities and this difference will be such that boundaryless types perceive that they have
more job alternatives than traditional types.
Human capital theory predicts that in general individuals will prefer a traditional job to a temporary
assignment because the wages are likely to be higher for specific, organizationally valued skills.
Historically, workers in temporary jobs have earned lower wages than workers with equivalent skills
in longer-term jobs (Segal, 1996). The opportunities and wage rates of higher skilled temporary work-
ers, however, should increase as more organizations choose to externalize highly, skilled work. Wages
for particular, unique general skills are likely to be higher to attract higher skilled workers to accept
BOUNDARYLESS AND TRADITIONAL CONTINGENT EMPLOYEES 431
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shorter, riskier employment contracts. Thus, it is likely that boundaryless types earn higher relative
wages than the traditional group. Further, as job security within single firms appears less assured, indi-
viduals may become more focused on the transactional aspects of their relationship (Robinson Kraatz
& Rousseau, 1994; Rousseau, 1995), and therefore expect to earn higher wages. We hypothesize,
therefore, that:
Hypothesis 3: There will be a significant difference between the two types with respect to relative
wages, whereby boundaryless types earn higher relative wages for their temporary work (compared
to standard work) than do traditional types.
Hypothesis 4: There will be a significant difference between the two types in their expectations for
higher wages such that boundaryless types expect to earn higher wages; whereas, traditional types
do not.
We have argued that the growth of staffing agencies reduces the risk and costs for both temporary
workers and their employers, hence increasing the supply of high skilled temporary workers who actu-
ally prefer temporary work. It is also possible that changes in the labor force have contributed to chan-
ging career choices over the life course (Baker & Aldrich, 1996; Elder & Pavalko, 1993).
Demographic shifts in the labor supply, most notably greater participation of married women in the
labor force and an associated increase in dual income families, may lead to increased opportunities to
experiment with alternative work arrangements. Because of their higher skills, boundaryless workers
are likely to have employment opportunities in both traditional and temporary work arrangements.
That they choose temporary work may, in some cases, reflect a lower need for steady income and
employer-provided benefits. We therefore expect that boundaryless types are more likely to have work-
ing spouses. Hence,
Hypothesis 5: There will be a significant difference between the two types in the working status of their
spouse such that boundaryless types are more likely to have working spouses than traditional types.
In summary, we have developed a boundaryless profile and distinguished this particular profile
against the more ‘traditional’ category of temporary worker. We use this set of hypotheses to empiri-
cally test whether theory and evidence coincide. We suggest that high skilled temporary workers who
prefer temporary work represent an example of the growing acceptance of boundaryless careers, which
coincides not only with changing organizations’ boundaries and employment security policies but also
with changing demographic characteristics of workers. And from a demand perspective, an increased
demand for high skilled temporary work, coupled with the growth of staffing intermediaries, has low-
ered the cost for both organizations and higher skilled individuals who might otherwise spurn contract
work. Organizations with strategies that emphasize employability rather than commitment and longer-
term job security also encourage a form of boundaryless career.
Differences within temporary employment arrangements: does it matter?
Several studies have found differences in satisfaction with temporary work with respect to variation in
voluntariness or preference. Ellingson, Gruys, and Sackett (1998) found a positive correlation between
voluntariness and overall satisfaction with working as a temporary employee. Feldman, Doerpinghaus,
and Turnley (1995) also found significant differences between self-reported voluntary and non-
voluntary temporaries in satisfaction with temporary life. These results are to be expected because
one would expect voluntariness and satisfaction with temporary work to be highly correlated. Both
studies, however, report conflicting results when measuring facets of job satisfaction. Ellingson and
432 J. H. MARLER ET AL.
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colleagues found no significant relationship between voluntariness and specific facets of job satisfac-
tion. In contrast, Feldman et al.’s study showed voluntary temporaries reported higher job facet satis-
faction, in particular, general satisfaction and pay satisfaction.
It is important to note, however, that in both these studies, samples on which these results rested
controlled for occupational and assignment variation by using homogenous samples. Ellingson and
colleagues used a sample of clerical temporaries located in one city. Similarly, Feldman and collea-
gues’ sample included clerical and blue-collar temporaries.
We explore whether these same results will occur in a broader, more varied sample of temporary
workers. We expect that boundaryless temporaries are likely to experience greater job satisfaction
because, in addition to the volition, the nature of the work should be more challenging thus enhancing
perceived intrinsic value of the work.
We therefore propose:
Hypothesis 6: Boundaryless temporaries will be more satisfied with their jobs than traditional
temporaries.
Consistent with our arguments concerning the differences across the two temporary types regarding
differences in wages, we expect boundaryless temporaries to report higher levels of pay satisfaction
than traditional temporaries.
Hypothesis 7: Boundaryless temporaries will be more satisfied with their pay than traditional
temporaries.
Gallagher and McLean Parks (2000) argue that the notion of organizational commitment is rendered
more complex when considered in the context of alternative employment relationships. They theorize
that not only are there different commitment foci such as organization, job, employment, and occupa-
tion but, in the context of temporary agency employment arrangements, one must also consider
commitment to the employing temporary help agency as well as to the client organization. Further-
more, commitment to the client is likely to represent a cumulative experience of assignments with
multiple clients. Given this perspective and given the antecedents and correlates of organizational
commitment are primarily under the control of the client firm rather than the employer temporary help
agency (Gallagher & McLean Parks, 2000), we would expect that boundaryless temporaries would
exhibit greater client commitment than traditional temporaries. Boundaryless temporaries are more
likely to encounter client assignments that have environmental antecedents such as enriched jobs that
are correlated with greater organizational commitment (Mathieu & Zajac, 1990). Further we have
already hypothesized that boundaryless temporaries will have higher job satisfaction, and job satisfac-
tion is positively correlated with organizational commitment (Mathieu & Zajac, 1990). Finally,
Gallagher and McLean Parks (2000) suggest that there may be an overlap of commitment foci across
organization, job and occupation, which may be particularly true for ‘professionalized’ occupations
such as those likely to represented by boundaryless temporaries. Thus we would hypothesize:
Hypotheses 8: Boundaryless temporaries will have higher client commitment than traditional
temporaries.
There is less theory or consistent evidence regarding performance differences within temporary
employment. Pearce (1993) found higher extra-role performance reported by independent contractor
engineers compared to traditional core employees, whereas Van Dyne and Ang (1998) found loan
officers and nurses had lower citizenship behavior than their core employee counterparts. There is very
little evidence, however, regarding performance differences within different temporary types.
Ellingson et al. (1998) found that overall assignment satisfaction and satisfaction with temporary work
BOUNDARYLESS AND TRADITIONAL CONTINGENT EMPLOYEES 433
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were positively and significantly related to performance but found no significant difference in perfor-
mance between those who preferred and did not prefer temporary work. Lautsch (1999 — unpublished
manuscript) on the other hand, found evidence of better performance among traditional temporaries
than their full-time counterparts, which she attributed to differences in how organizations use tempor-
aries. Some organizations use temporary work as a method of screening job applicants (Lautsch,
1999 — unpublished manuscript). In this case, traditional temporaries have an incentive to work hard.
In both cases, the sample of temporaries performed clerical or low skilled assignments. In contrast,
boundaryless temporaries are more likely to be in enriched jobs, which are theoretically more satisfy-
ing and motivating (Hackman & Oldham, 1976). Further, Kunda et al. (2002) found that high techno-
logy temporaries were aware that better performance is likely to lead to referrals and repeat business.
Since theory and evidence seem to offer competing predictions about the relative performance of the
two types of temporary worker, we propose no hypotheses a priori with respect to performance and
conduct an exploratory study to determine empirically whether differences exist across the two diverse
type of temporary worker.
Organizational Context
The country In 1995, the Bureau of Labor Statistics began counting the number of contingent work and alter-
native employment arrangements in the U.S. workforce. According to their estimates, approxi-
mately 5 per cent of the U.S. workforce were in contingent work, defined as any job in which an
individual does not have an implicit or explicit contract for long-term employment. In 1997, about
12.6 million, or 1 in 10 workers were estimated to be in alternative employment arrangements.
These arrangements included those classified as independent contractors, on-call workers, tempor-
ary agency help workers and workers provided by contract firms. About two-thirds of alternative
employment arrangements were independent contractors, and ten per cent were temporary help
agency workers. Temporary help agency workers were also more likely than any other category
to be also classified as contingent and continue to be the fastest growing segment of the workforce.
They comprise about 1.5 to 5 per cent of the total workforce.
The participants in the national sample The Bureau of Labor Statistics scientifically selected participants in the national sample from
households in the nation as a whole. Participants represented anyone 16 years or older who had
a job or was looking for a job and were available for work during the month of February 1995
and 1997 and who further identified themselves as being paid by a temporary help agency. Fifty-
seven per cent were women and 38 per cent were married. The average temporary agency worker
was 36 years old and earned on average $371 per week.
The participants in the regional sample Participants in the regional sample consisted of individuals working on assignments in 1995 and
sampled from four temporary help agencies and one employment broker located in the Northeast
United States. Participants were working in assignments in 95 client organizations representing
local, regional and international companies. Fifty-four per cent were women and 54 per cent were
married. The average age was 38 years old and average hourly earnings were $17 per hour.
434 J. H. MARLER ET AL.
Copyright # 2002 John Wiley & Sons, Ltd. J. Organiz. Behav. 23, 425–453 (2002)
Methods
To test our propositions, we use two samples: a national probability sample that has external validity
and a regional sample that contains extensive measures of temporary worker attitudes and behaviors.
We apply a hierarchical clustering technique to the national sample and replicate these results on the
regional sample. We then use the regional sample’s more extensive measures of attitudes and perfor-
mance to conduct further analyses.
National sample
The national sample is derived from the Current Population Survey’s (CPS) Contingent Work
Supplement, collected in February 1995 and 1997. The CPS is a monthly survey series collected by
the Bureau of the Census for the Bureau of Labor Statistics (BLS) and is the source for official govern-
ment statistics on employment. Households are scientifically selected to represent the nation as a
whole and household participants (U. S. Dept. of Commerce, 1995). The 1995 and 1997 Contingent
Work Supplement consists of a set of additional questions about contingent work and alternative work
arrangements that were asked of household participants who had a job or were looking for a job and
were available for work during the month of February. The sample used in this study consisted of 614
temporary workers with no missing data 1
who were employed at the time of the survey and included in
the supplemental questions.
National sample cluster variables
Ten variables were included in the cluster analysis. These variables are described below and are
included to test whether they cluster in the theoretically derived pattern across the two proposed types.
Skill accumulation is measured in three ways: by level of formal education, age and occupation. Level
of education is a measure of cognitive ability and general skill accumulation. Age captures the degree
of accumulated work experience, both specific and general, and occupation captures the specific skill
accumulation.
Education is a categorical scale that indicates 16 levels of educational attainment. It is ordinal with the
lowest attainment level being less than first grade and the highest, a doctorate degree. The actual mea-
sure converts this scale into number of years of education. Less than 9th grade educational attainment
is treated as an average of eight years of education. A high school diploma represents 12 years; a col-
lege degree represents 16 years and a doctorate 21 years.
Age is measured as number of years from birth and is an accepted measure of experience in the study of
human capital.
Occupation was measured by 13 indicator variables. Individual occupation is coded according to the
single digit Census Bureau major occupation coding. For example occupation code 1 equals executive
and managerial occupations, occupation code 2 equals professional occupations. Codes increase with
1 An analysis of those cases with missing data show that there were no significant differences in preference for contingent work,
marital status, race, location or reasons for contingent work. Temporary employees with missing data were more likely to be in occupations with a higher rate of unemployment.
BOUNDARYLESS AND TRADITIONAL CONTINGENT EMPLOYEES 435
Copyright # 2002 John Wiley & Sons, Ltd. J. Organiz. Behav. 23, 425–453 (2002)
decreasing level of skill required for the occupation. For example occupation 12 are helpers and
laborers.
Preference for temporary employment arrangement is measured by two variables.
Preference for temporary work. Respondents make judgments about their work arrangement: do they
prefer or not. Those who worked for temporary help agencies were asked: ‘Earlier you said you were
paid by a temporary help agency. Would you prefer a job with a different type of employer?’ Response
choices were bi-polar qualitative response categories: yes, depends, or no.
Reasons for temporary work represented 16 nominal categorical variables indicating which of the 16
choices reflected the main reason for choosing temporary work. These 16 reasons grouped into three
categories: job, economic, and personal factors. Reasons that were job related include: to be own boss,
money is better, training, and flexible schedule.
Reasons representing economic factors were: this was the only type of work I could find, hope leads
to a permanent job, laid-off and rehired as contingent worker, and other economic. Personal factors
included child-care, other family/personal obligations, in school, health limitations, and social security
limitations.
Other characteristics consider job alternatives and marital status.
Number of job alternatives was measured by the level of occupational unemployment, which repre-
sents a ratio of the number of unemployed and looking for employment divided by the number of
employed, categorized by a two-digit occupation code. The data represent current unemployment as
of the time of the survey, February 1995 or 1997.
Wage rates are reported weekly wage.
Marital status is an indicator variable recorded as one if the individual was married with a spouse pre-
sent, otherwise zero.
Married woman is measured as an interaction of two indicator variables, female and marital status.
Regional sample
The Regional Sample consists of survey data collected from individuals working on assignments in the
Northeast United States. Four temporary help agencies and one employment broker 2
agreed to distri-
bute questionnaires (by mail or with paychecks) to all individuals currently on their active list. Com-
pleted surveys were returned by mail to the researchers. A total of 960 surveys were successfully
delivered and 276 were returned for a response rate of 29 per cent. 3
Respondents represent a broad cross-section of temporary workers and work assignments. They
were working in assignments at 95 client organizations representing local, regional, national and inter-
national companies.
2 An employment broker is an agency that makes arrangements with temporary help agencies to provide contract workers to
client organizations. 3 This response rate is about average for sample surveys of this population. Miller (1995) sampled one large temporary agency
located in the West and had a 17 per cent response rate. Von Hippel et al. (1997) had a 54 per cent response rate with a survey fielded by a large Midwestern agency.
436 J. H. MARLER ET AL.
Copyright # 2002 John Wiley & Sons, Ltd. J. Organiz. Behav. 23, 425–453 (2002)
Regional sample cluster variables
We match the measures used in the national sample to those collected in the regional sample.
Education is measured as a 6-item ordered categorical variable. The lowest level of education was high
school or equivalency diploma and the highest level was Ph.D. The mean level of education was an
associate’s degree.
Age is measured as number of years from birth.
Occupation was measured by seven indicator variables. Individuals reported their occupation from a
choice of clerical, technician, engineering, accounting, software/systems, industrial, and managerial/
executives. These correspond to the occupational designations used by the temporary help industry and
when aggregated to Census Bureau coding that categorizes occupations as managerial, professional,
clerical and industrial.
Preference for temporary work. A two-item measure was created to estimate each individual’s prefer-
ence for temporary work. Response choices were ordered categorically: strongly disagree, disagree,
neutral, agree, and strongly agree. The two items were: ‘I have a choice and I prefer temporary/con-
tract work’ and ‘I have little choice; I would prefer a permanent, regular job’ (reverse coded). The
alpha coefficient for this scale is 0.84.
Reasons for temporary work. Paralleling the measures in the national sample, we identified job, eco-
nomic and personal reasons. For job factors, individuals were asked to rate the importance of a parti-
cular factor to making temporary work attractive. The response choices ranged from ‘not important at
all’ (1) to ‘extremely important’ (5) and the factors evaluated included variety, challenge, flexibility
and independence/autonomy. The alpha coefficient for this scale is 0.70. For economic reasons we
used a one-item scale that asked about the likelihood of taking a permanent job if one were available
at another company over the next six months. Response choice was a 7-item Likert-type scale where
1 ¼ very unlikely and 7 ¼ very likely. Respondents also indicated whether higher pay was a reason for accepting temporary employment. Personal reasons included a one-item measure in which respon-
dents indicated how important balancing work and family is to making temporary work attractive.
Other variables Number of job alternatives. Respondents were asked to estimate their present alternative job opportu-
nities on a 5-point scale ranging from no opportunities (1) to many opportunities (5).
Wage rates represented respondents’ reported hourly wage rate.
Marital status is an indicator variable recorded as one if the individual was married with a spouse pre-
sent, otherwise zero.
Married woman. This is measured as an interaction of two indicator variables: gender (female) and
marital status.
Other measures Relative wages is measured as the difference between what the temporary worker is currently earning
and the wage of an equivalent conventional work arrangement. The following equation depicts how
this measure was derived based on wage equations used by Krueger & Summers (1988)
Wpi ¼ Xi� þ Yi� þ Zi� þ "i ð1Þ
BOUNDARYLESS AND TRADITIONAL CONTINGENT EMPLOYEES 437
Copyright # 2002 John Wiley & Sons, Ltd. J. Organiz. Behav. 23, 425–453 (2002)
where Wpi is the predicted log hourly wage for employed individual i; Xi a vector of human capital
variables for individual i that include education, age, and its square; Yi is a vector of geographic vari-
ables including region of the country and dummies indicating central city, mixed or rural location; Zi is
a vector of individual characteristics such as gender, race, marital status, and number of children; "i is an error term, and � are parameters to be estimated based on a national sample population of employed men and women,
Ri ¼ Ai � Wpi ð2Þ
where Ri is the difference between the predicted outcome, Wpi and the individual’s actual log hourly
wage, Ai. The difference, Ri, represents a measure of relative outcome.
Work satisfaction is a 9-item scale. Individuals indicate their level of satisfaction, (1 ¼ very dissatis- fied, 5 ¼ very satisfied) with attributes of their work assignment. These attributes include, for example, ‘amount of freedom on the job’, ‘opportunity to accomplish something worthwhile’, and ‘friendliness
of the people you work with.’ The mean of the summation has an alpha of 0.90.
Pay satisfaction was measured using the pay level satisfaction dimension of the Heneman and Schwab
(1985) Pay Satisfaction Questionnaire (PSQ). The 8-item pay level satisfaction measure was highly
reliable, with an alpha level of 0.92.
Client commitment measurement was adapted from the Mowday, Porter and Steers (1982) 9-item
measure of organizational commitment. The measure was revised slightly to make explicit that the
questions referred to the client organization rather than the hiring agency. The alpha level for the mea-
sure of organizational commitment to the client was 0.92.
Task and contextual performance measures come from a 12-item self-report scale that factored into two
dimensions shown on Table 2. The first factor relates to performance efficiency and consists of four
items about quantity and quality of work output, accuracy of work, and customer service provided.
The second factor describes reported work group cooperation and company level citizenship and con-
sists of the remaining eight items. Items include questions about working as part of a team or group,
seeking information from others in the group, responding to the needs of others in the group, and doing
things that help others when it’s not part of the job. The alpha on each is 0.65 and 0.88 respectively.
Analyses
Cluster analysis is a descriptive analysis that involves measuring the distance between clusters, in this
case profiles of temporary employees, and comparing within cluster and across cluster distance. Using
this methodology, we group each individual into clusters based on an individual profile formed by the
ten cluster variables described above. We chose these measures specifically to test hypotheses 1–5 in
which we derive from theory a specified pattern of characteristics. The cluster methodology derives
groupings based on a set of variables; however, each variable individually does not necessarily differ
significantly across clusters. Once clusters are formed, we used Tukey’s studentized range t-tests and
chi-square statistics to investigate individual variable differences across clusters.
An advantage of using a clustering methodology is that it uses an objective data driven process to
determine similarities between temporary profiles through an agglomerative process that builds up
clusters by putting similar case profiles, in this case individual temporary employees, in the same clus-
ter. Clusters emerge and distinguish themselves based on comparisons of similarities of within-cluster
multivariate profile differences to across-cluster multivariate profile differences (Griffeth, Hom,
438 J. H. MARLER ET AL.
Copyright # 2002 John Wiley & Sons, Ltd. J. Organiz. Behav. 23, 425–453 (2002)
DeNisi, & Kirchner, 1985). In our hierarchical clustering method we used Ward’s minimum variance
method, which joins clusters using the criteria of minimum within cluster variance. We used Gower’s
resemblance coefficient, which is a weighted combination of the Jaccard coefficient for nominal vari-
ables and the Euclid distance measure. The number of clusters was chosen on the basis of parsimony
and maximum distance between levels of the solution.
We used the same clustering process for both the national probability sample and the regional sample.
We then performed multivariate regression analyses and MANOVA on the regional sample to esti-
mate the effect of temporary worker type on measures of work attitudes and behaviors proposed in
hypotheses 6–8 and to explore differences in task performance.
Results
A correlation analysis of the national sample variables appears in Table 1 and, for the regional sample,
in Table 2. These results provide mixed but generally supportive evidence in favor of hypothesis 1a,
which proposed that skill accumulation and preference for temporary employment are not indepen-
dent. Preference is significantly correlated with age, sales, other service occupations, expectation of
higher wages and flexibility. Expectation of higher wages is significantly correlated with education and
professional occupations. And flexibility is significantly correlated with age, clerical occupations, and
preference. In general, it appears that the various measures of skill (i.e., education, age and occupation)
are not independent of measures of preference (i.e. preference, expectation of higher wages, flexibility
and desire of finding a standard job). Similar patterns of relationships emerge in Table 2, which shows
a correlation of these measures using the regional sample.
The results of the cluster analyses, ANOVA and chi-square tests appear in Tables 3 and 4. Table 3
contains the results using the national sample and Table 4 the results for the regional sample. Each
table presents the cluster profile, depicting the cluster variables, their means, and standard deviation.
Also reported are the results of the ANOVA using Tukey’s studentized range test and chi-square in the
case of categorical variables.
In both samples, a two-cluster solution emerged as the most stable pattern, initially supporting
hypothesis 1b although a more detailed analysis of the combination of variables in each cluster is needed
to eliminate the rejection of the hypothesized profile of both types. In both samples, type 1 consisted of
significantly higher proportions of blue-collar and pink-collar occupations and type 2, a significantly
higher (all) proportion of white-collar occupations. Further in both samples, type 1 had significantly
lower levels of preference for temporary work than type 2 and provides further support for hypothesis
1b which predicted both preference and skill accumulation were not orthogonal but linked.
As shown in Table 3, the two clusters depict two distinct temporary types. Type 1 consists of tem-
poraries who generally do not prefer temporary work. Only 22 per cent preferred their work arrange-
ment. Type 1 also had a significantly lower proportion of individuals who valued temporary work for
its flexibility compared to type 2 (10 versus 20 per cent). This group on average had a high school
education and was in exclusively pink-collar and blue-collar occupations. In contrast, type 2 consisted
of a greater proportion of individuals who preferred temporary work and its work-related attributes.
Over 35 per cent preferred their work arrangement compared to 22 per cent in type 1. Type 2 also had a
greater level of education and were primarily in managerial, professional and technical occupations.
Type 2 corresponds to a boundaryless temporary and type 1 represents the traditional temporary.
Replicating the procedure with the regional sample, we again found a stable two-cluster solution.
The two clusters found in this sample parallel the results obtained with the national sample. Type 1
BOUNDARYLESS AND TRADITIONAL CONTINGENT EMPLOYEES 439
Copyright # 2002 John Wiley & Sons, Ltd. J. Organiz. Behav. 23, 425–453 (2002)
T a b
le 1
. N
a ti
o n
a l
sa m
p le
c o
rr e la
ti o
n s
1 2
3 4
5 6
7 8
9 1
0 1
1 1
2 1
3 1
4 1
5 1
6 1
7 1
8 1
9 2 0
2 1
2 2
2 3
2 4
1 .
E d
u c a ti
o n
2 .
A g e
0 .1
0
3 .
M a n a g e ri
a l/
e x e c .
0 .1
5 �
0 .0
1
4 .
P ro
fe ss
io n
a l
0 .3
4 0
.0 6
� 0
.0 8
5 .
T e c h n ic
a l
0 .1
1 0 .0
1 �
0 .0
7 �
0 .0
7
6 .
S a le
s 0 .0
0 0 .1
6 �
0 .0
4 �
0 .0
4 �
0 .0
3
7 .
C le
ri c a l
0 .1
5 0 .0
7 �
0 .2
2 �
0 .2
2 �
0 .1
8 �
0 .1
0
8 .
S e rv
ic e –
h o
m e
0 .0
2 0
.0 1
� 0
.0 1
� 0 .0
1 �
0 .0
1 �
0 .0
1 �
0 .0
3
9 .
S e rv
ic e –
� 0
.0 4
0 .0
6 �
0 .0
2 �
0 .0
2 �
0 .0
1 �
0 .0
1 �
0 .0
4 0
.0 0
p ro
te c ti
v e
1 0 .
S e rv
ic e – o th
e r
� 0
.1 6
0 .0
8 �
0 .0
7 �
0 .0
7 �
0 .0
6 �
0 .0
3 �
0 .1
9 �
0 .0
1 �
0 .0
1
1 1 .
C ra
ft a n d
� 0
.1 2
0 .0
4 �
0 .0
6 �
0 .0
6 �
0 .0
5 �
0 .0
3 �
0 .1
7 �
0 .0
1 �
0 .0
1 �
0 .0
6
p re
c is
io n
1 2 .
M a c h in
e �
0 .2
4 �
0 .1
6 �
0 .1
3 �
0 .1
3 �
0 .1
0 �
0 .0
6 �
0 .3
4 �
0 .0
2 �
0 .0
2 �
0 .1
1 �
0 .1
0
o p e ra
to rs
&
a ss
e m
b le
rs
1 3 .
T ra
n sp
o rt
a ti
o n
� 0 .0
8 �
0 .0
9 �
0 .0
4 �
0 .0
4 �
0 .0
3 �
0 .0
2 �
0 .1
1 �
0 .0
1 �
0 .0
1 �
0 .0
4 �
0 .0
3 �
0 .0
6
a n d
m a te
ri a l
m o v
in g
1 4 .
H e lp
e rs
a n d
� 0
.1 5
0 .0
9 �
0 .1
0 �
0 .1
0 �
0 .0
8 �
0 .0
5 �
0 .2
7 �
0 .0
1 �
0 .0
2 �
0 .0
9 �
0 .0
8 �
0 .1
6 �
0 .0
5
la b o re
rs
1 5 .
F a rm
in g
� 0
.1 6
0 .0
1 �
0 .0
3 �
0 .0
3 �
0 .0
3 �
0 .0
1 �
0 .0
9 0
.0 0
� 0
.0 1
� 0
.0 3
� 0
.0 2
� 0
.0 5
� 0
.0 2
� 0
.0 4
1 6 .
P re
fe re
n c e
0 .0
1 0 .1
3 �
0 .0
7 0
.0 6
0 .0
7 0
.0 9
� 0
.0 2
� 0
.0 2
0 .0
1 0
.1 1
� 0
.0 4
� 0
.0 6
� 0
.0 3
� 0
.0 3
0 .0
2
1 7
. L
o o
k in
g fo
r �
0 .0
5 �
0 .0
5 0
.0 1
� 0
.0 3
0 .0
1 �
0 .0
2 �
0 .0
4 �
0 .0
2 0
.0 5
� 0
.0 9
0 .0
5 0
.1 5
0 .0
0 �
0 .0
6 �
0 .0
5 �
0 .0
7
st a n d a rd
jo b
1 8 .
E x p e c t
h ig
h e r
0 .1
3 �
0 .0
1 �
0 .0
4 0
.1 8
0 .0
7 �
0 .0
2 �
0 .0
3 �
0 .0
1 �
0 .0
1 �
0 .0
3 �
0 .0
3 0
.0 0
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.0 2
� 0
.0 5
� 0
.0 2
0 .1
2 �
0 .0
6
w a g
e s
1 9 .
F le
x ib
il it
y 0 .0
3 0 .1
3 �
0 .0
4 0
.0 0
0 .0
2 0
.0 5
0 .0
8 �
0 .0
2 �
0 .0
2 0
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0 .0
1 �
0 .0
7 0
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0 .2
3 �
0 .1
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0 .0
6
2 0
. U
n e m
p lo
y m
e n
t �
0 .4
1 �
0 .1
4 �
0 .2
6 �
0 .3
1 �
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9 0
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.3 5
0 .0
5 �
0 .0
1 0
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� 0
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0 .2
1 0
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0 .7
0 0
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0 .0
1 �
0 .0
5 �
0 .1
0 �
0 .0
6
ra te
2 1
. W
e e k
ly w
a g
e 0
.3 6
0 .1
3 0
.1 6
0 .3
1 0
.2 5
� 0
.0 8
� 0
.1 3
� 0
.0 1
0 .0
5 �
0 .1
4 0
.0 1
� 0
.0 9
0 .0
0 �
0 .1
1 �
0 .0
3 0
.0 7
� 0
.0 3
0 .2
7 0
.0 2
� 0
.2 8
2 2 .
R e la
ti v e
w a g e
� 0 .0
2 �
0 .1
5 0
.1 2
0 .1
9 0
.1 4
� 0
.0 7
� 0
.0 7
(y )
(y )
� 0
.1 0
0 .0
0 �
0 .0
5 0
.0 5
� 0
.1 3
� 0
.0 3
0 .1
2 �
0 .0
2 0
.2 1
0 .0
6 �
0 .2
2 0
.6 7
2 3
. M
a rr
ie d
w o
m a n
0 .0
5 0
.2 7
0 .0
5 0
.0 3
0 .0
1 0
.1 1
0 .0
8 �
0 .0
3 �
0 .0
1 �
0 .0
6 �
0 .0
2 �
0 .0
8 0
.0 5
� 0
.0 5
0 .0
0 0
.0 7
� 0
.0 3
0 .0
0 0
.1 7
� 0
.1 2
0 .0
9 �
0 .0
4
2 4 .
M a rr
ie d
0 .0
5 0 .3
3 0 .0
6 0 .0
7 0 .0
4 0 .1
0 �
0 .0
2 �
0 .0
3 �
0 .0
1 �
0 .0
6 0
.0 1
� 0
.0 7
� 0
.0 2
� 0
.0 3
0 .0
3 0
.0 6
� 0
.0 3
0 .0
1 0
.1 2
� 0
.0 9
0 .1
2 �
0 .0
4 0
.9 3
2 5 .
D u a l
e a rn
e rs
0 .0
3 0 .0
9 0 .0
5 0 .0
2 0 .0
1 0 .0
2 0 .0
3 �
0 .0
3 0
.0 4
� 0
.1 1
0 .0
0 �
0 .0
2 0
.0 3
� 0
.0 2
0 .0
3 0
.0 0
0 .0
3 �
0 .0
3 0
.0 9
0 .0
5 0
.0 3
� 0 .0
4 0 .7
0 0 .7
1
p <
0 .0
5 fo
r a ll
c o rr
e la
ti o n s
o v e r þ
/� 0
.0 8 ; n ¼
6 1
4 .
y N o
re la
ti v e
w a g
e d
a ta
fo r
th e se
o c c u
p a ti
o n
s.
440 J. H. MARLER ET AL.
Copyright # 2002 John Wiley & Sons, Ltd. J. Organiz. Behav. 23, 425–453 (2002)
T a b
le 2
. R
e g
io n
a l
sa m
p le
c o
rr e la
ti o
n s
1 2
3 4
5 6
7 8
9 1
0 1
1 1
2 1
3 1
4 1
5 1
6
1 .
E d
u c a ti
o n
2 .
A g
e �
0 .0
5 3
. C
le ri
c a l
� 0
.3 1
� 0
.1 4
4 .
T e c h
n ic
ia n
� 0
.1 1
0 .1
3 �
0 .1
1 5
. E
n g
in e e ri
n g
0 .1
2 0
.0 8
� 0
.4 7
� 0
.0 9
6 .
A c c o
u n
ti n
g 0
.1 2
� 0
.0 9
� 0
.1 5
� 0
.0 2
� 0
.2 0
7 .
S o
ft w
a re
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BOUNDARYLESS AND TRADITIONAL CONTINGENT EMPLOYEES 441
Copyright # 2002 John Wiley & Sons, Ltd. J. Organiz. Behav. 23, 425–453 (2002)
scored significantly lower on preference for temporary work than type 2 ( p < 0.001). Type 1 consisted of temporaries in clerical and blue-collar occupations.
4 Type 2 consisted solely of professional, tech-
nical and managerial occupations. Consistent with the occupational differences, cluster 1 had a lower
level of education. As with the CPS sample, type 2 represents the boundaryless type and type 1 the
traditional temporary.
Hypothesis 2 stated that boundaryless temporaries are more likely than traditional types to perceive
they have more job alternatives, suggesting greater perceptions of assignment continuity. This hypoth-
esis is supported in both samples. As shown in Table 3, temporaries in cluster 1 have a significantly
higher occupational unemployment rate — 7 per cent compared to those in cluster 2 — who have an
average unemployment rate of 4 per cent. Similarly Table 4 indicates that those in the boundaryless
Table 3. Results of hierarchical cluster analysis and ANOVA of cluster means — national sample
Traditional Boundaryless (Cluster 1) (Cluster 2)
Means SD Means SD
Skill and knowledge Education 12.57 2.02 13.88 2.23 * Age 33 12.10 39 12.30 * Occupation
Manager 0% 17% 0.38 * Professional 0% 17% 0.38 * Technical 0% 12% 0.32 * Sales 0% 4% 0.20 * Clerical 41% 0.49 30% 0.46 * Servicey 7% 0.05 4% 0.18 Craft 5% 0.25 4% 0.20 Blue-collarz 44% 0.22 12% 0.32 * Farming 2% 0.15 0 —
Preference for temporary work Preference for temporary work 1.33 0.57 1.45 0.57 * Looking for traditional job 0.17 0.38 0.15 0.36 Value flexibility 0.10 0.31 0.20 0.40 * Expect to earn more 0.01 0.09 0.03 0.18 *
Other variables Alternative job opportunities 7% 0.03 4% 0.02 * Relative adjusted wage
§ �19% 0.40 �7% 0.54 * Weekly wage $296 211 $461 368 * Married woman 0.106 0.39 1.24 0.82 * Married 0.080 0.27 0.75 0.43 * Dual earners
§ 0.070 0.27 0.64 0.48 *
n 338 276
*Variable means of the two groups are significantly different p < 0.05. yIncludes private household, protective service, and other service occupation codes. zIncludes machine operators, assemblers and inspectors; transportation and material moving; helpers and laborers. § Not included as a cluster variable.
4 This cluster also included a small group of individuals in accounting, software and managerial occupations but it is possible that
these occupations could correspond to very the broad ‘clerical occupation’ defined in the CPS occupational coding. In the CPS coding clerical occupations could include clerical supervisors, bookkeepers, and computer operators.
442 J. H. MARLER ET AL.
Copyright # 2002 John Wiley & Sons, Ltd. J. Organiz. Behav. 23, 425–453 (2002)
cluster perceived that they had a significantly greater number of job alternatives than those in the first
group.
Hypothesis 3, which predicted that boundaryless temporaries would earn higher relative wages, was
also supported. There was a significant difference between traditional and boundaryless types in rela-
tive earnings, measured as the difference between actual earnings for a temporary employee and an
employee in conventional employment with the same human capital (education, age, experience) and
individual characteristics (gender, race, marital status, number of children, and geographic region). We
nevertheless found that both traditional temporaries and boundaryless temporaries earn about
18 per cent and 7 per cent, respectively, less than those in conventional employment relationships.
Hypothesis 4 stated that boundaryless types are also more likely to expect to earn higher wages as
temporaries. In the CPS data very few indicated they expected to earn more money as a main reason for
being in temporary work, nevertheless boundaryless types contained a significantly higher proportion
of these than traditional types. In the regional sample (see Table 4), about two-thirds of those in type 2
expected to earn higher wages by performing temporary assignments compared to none in type 1,
again a significant difference. Thus, there is support for hypothesis 4 although the results on relative
earnings suggest that both groups appear on average to earn less than the conventionally employed.
Hypothesis 5 stated that boundaryless types would more likely have working spouses than marginal
types. There is clear support for this in the CPS sample. Two-thirds of the married individuals in cluster
2 were in dual earner marriages compared to 7 per cent in cluster 1, a significant difference. We were
Table 4. Results of hierarchical cluster analysis and ANOVA of cluster means — regional sample
Traditional Boundaryless (Cluster 1) (Cluster 2)
Means SD Means SD
Skill and knowledge Education 3.03 1.33 3.29 1.01 Age 37.82 12.16 39.50 10.86 Occupation
Manager/executive 30% 0.94 14% 0.95 * Accounting 15% 0.35 0% 0.00 * Engineering 4% 0.18 85% 0.36 * Software/systems 16% 0.36 17% 0.38 Technician 5% 0.21 6% 0.23 Clerical 54% 0.50 1% 0.12 * Blue-collar 1% 0.10 0% 0.00 *
Preference for temporary work Preference for temporary work 2.49 1.30 3.63 1.30 * Looking for traditional job 5.36 2.25 3.22 2.16 * Value flexibility 3.59 0.93 3.83 0.76 Expect higher wages 0.07 0.26 0.63 0.49 *
Other variables Alternative job opportunities 3.57 1.08 4.33 0.87 * Hourly rate $12.49 10.45 $29.96 10.62 * Married woman 0.30 0.46 0.08 0.27 * Married 0.52 0.50 0.58 0.50 n 200 72
*Variable means of the two groups are significantly different p < 0.05.
BOUNDARYLESS AND TRADITIONAL CONTINGENT EMPLOYEES 443
Copyright # 2002 John Wiley & Sons, Ltd. J. Organiz. Behav. 23, 425–453 (2002)
unable to determine whether the same held true for the agency sample as we lacked data on working
spouse. 5
Multivariate regression results
Using the regional sample, we explored the possibility of attitude and performance differences
between the two temporary types. The correlation analysis of regional sample’s measures of attitude
and performance shown in Table 5 indicates that temporary type is significantly related to satisfaction
with work, satisfaction with pay and task performance but that there is no relationship with client com-
mitment or contextual performance.
In a multivariate regression, we regressed temporary type along with three control variables (age,
education and gender) on three dependent attitude variables: satisfaction with work, satisfaction with
pay and client commitment. MANCOVA and multivariate regression results are shown in Table 6. The
results also show that the net effect of temporary type on these three dependent variables is significant,
accounting for 5 per cent of the variance. In support of hypotheses 6 and 7, boundaryless temporary
types reported significantly higher levels of job and pay satisfaction. The multivariate regression equa-
tions showed that temporary type was significant only for work and pay satisfaction. However, we
found no support for hypothesis 8, which predicted higher organizational commitment for boundary-
less temporaries. There appeared to be no difference in client commitment between the two types.
In a second multivariate regression examining worker behaviors, we regressed temporary type on
task performance, contextual performance (i.e., cooperative, citizenship behavior), controlling for
satisfaction with work, age, education and gender. As shown in Table 7, there are differences by tem-
porary type. The MANCOVA for the two performance variables is significant, indicating that the net
effect of temporary type, after control variables are considered, is also significant, accounting for
5 per cent (1–�) of the variance. The details of the multivariate regression results show that the tradi- tional temporary types report significantly higher task and contextual performance compared to the
boundaryless types. Controlling for satisfaction with work, traditional temporaries reported higher task
Table 5. Means and correlation of regional samples’ attitudes and performance
Traditional Boundaryless
Mean SD Mean SD 1 2 3 4 5 6 7 8
1. Temporary type 0 — 1 — —
2. Work satisfaction 3.45 0.97 3.71 0.58 0.13* —
3. Pay satisfaction 2.89 1.02 3.37 0.75 0.22* 0.38* —
4. Client commitment 3.29 0.99 3.22 0.6 �0.04 0.62* 0.23* — 5. Task performance 4.58 1.18 4.21 0.53 �0.15* 0.29* �0.05 0.26* — 6. Contextual 4.1 0.84 3.93 0.61 �0.10 0.40* 0.06 0.37* 0.46* —
performance
7. Age 37.82 12.16 39.53 10.86 0.06 �0.11 �0.08 0.00 �0.08 0.08 — 8. Education 3.03 1.33 3.29 1.01 0.09 0.04 0.00 �0.07 �0.01 0.19* �0.05 — 9. Female 0.67 0.47 0.15 0.36 �0.45* �0.01 �0.01 0.15* 0.10 �0.11 �0.17* �0.22*
*p < 0.05.
5 As a close approximation, the proportion of married women was compared because in the CPS data, 90 per cent of married
women temporaries were part of a dual earner marriage. Here there was a significant difference but in the opposite direction. There were more married women in cluster 1 in the agency sample, however, these results are only for women and do not reflect men who represented half the data.
444 J. H. MARLER ET AL.
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performance than boundaryless temporaries, which suggests that for traditional temporaries task per-
formance may be motivated by other factors, such as the desire for a permanent job, than simply the
conditions and type of work assignment. In all equations satisfaction with work was significantly cor-
related with task and contextual performance, which indicates that satisfaction with work is an impor-
tant factor in temporary agency employment arrangements, more so than with traditional employment
relationships (Iaffaldano & Muchinsky, 1985). These results are consistent with Ellingson et al. (1998)
who found that there was a stronger relationship between work satisfaction and performance for
Table 6. Multivariate regression (a) and MANCOVA (b): effect of temporary type on work attitudes — regional sample
(a) Variables Work satisfaction Pay satisfaction Client commitment
Control variables Age �0.01 �0.08 �0.01 Education 0.06 �0.05 �0.04 Female 0.05 �0.11 0.30y
Boundaryless temporary 0.38z 0.43y 0.13 Intercept 3.06z 2.99z 3.07z
R 2
0.06y 0.06z 0.03
(b) Test Net effect by temporary type
Hotelling’s T 0.05 Wilk’s � 0.95 F T 2.60y
F � 2.60y
yp < 0.05; zp < 0.01.
Table 7. Multivariate regression (a) and MANCOVA (b): effect of temporary type on employee behaviors — regional sample
(a) Variables Task performance Contextual performance
Control variables Age 0.00 0.00 Education 0.03 0.00 Female 0.00 �0.08 Work satisfaction 0.11y 0.33z
Boundaryless temporary �0.20y �0.31z Intercept 4.08z 3.29z
R 2
0.04* 0.14z
(b) Test Overall effect Net effect by temporary type
Hotelling’s T 0.242 0.04 Wilk’s � 0.805 0.96 F T 17.95z 2.90y
F � 17.95z 2.90y
*p < 0.10; yp < 0.05; zp < 0.01.
BOUNDARYLESS AND TRADITIONAL CONTINGENT EMPLOYEES 445
Copyright # 2002 John Wiley & Sons, Ltd. J. Organiz. Behav. 23, 425–453 (2002)
temporary agency clerical workers (Ellingson et al., 1998). Lautsch (1999 — unpublished manuscript)
also noted that in certain tasks temporaries were more productive than traditional employees (Lautsch,
1999 — unpublished manuscript).
The results also show that contextual, citizenship performance, another dimension of performance
that organizations are increasingly interested in developing for competitive advantage (Borman &
Motowidlo, 1997), is dependent on temporary type. The results show that after controlling for satis-
faction with work, traditional temporaries report higher contextual performance than boundaryless
types. While boundaryless temporaries generally report higher satisfaction with work they do not
report higher contextual performance. In fact there is no relationship between temporary type and con-
textual performance until variation in satisfaction with work is controlled indicating that satisfaction
with work operates as a suppressor variable. Once the variation in work satisfaction is considered, the
data show that traditional temporaries are more likely to engage in contextual performance.
Discussion
Organizational strategies externalizing specialized work and the growth of the temporary help industry
coincide with the emergence of a new type of temporary worker, the boundaryless temporary worker.
We believe our results suggest that, in response to the trend of establishing ‘core’ and ‘peripheral’
employees (Handy, 1989) and with employers emphasizing employability over implicit long-term
employment relationships (Capelli, 1999), a subset of higher skilled workers is voluntarily entering
into alternative employment relationships as temporary employees and using temporary employment
agencies to facilitate the transition.
What distinguishes boundaryless temporary workers from others is their preference for temporary
work, level of skill, and experience. Prior research indicates that most temporary workers do not want
temporary jobs and human capital theory explains why. Temporary assignments are too short-lived for
workers to gain the advantages of specific training that yield higher wages and too uncertain to attract
those with large human capital investments. Consistent with this theory, over 71 per cent of the CPS
sample and 60 per cent of the agency sample were neutral or disagreed with the statement that they
preferred temporary work. Of the remaining third who prefer temporary work, however, the majority
(60 per cent) were classified into the boundaryless cluster.
We hypothesized that boundaryless temporaries would enjoy accumulating knowledge across
assignments, be in high demand (facilitated by the growth in the temporary help industry), earn higher
relative wages (for performing unique tasks that are strategically outsourced), and have other sources
of income and benefits (because they had a working spouse). The empirical results generally corrobo-
rate these predictions. Boundaryless temporaries appeared to have skills that were in greater demand
and were part of dual earner marriages. Although on average they did not appear to actually earn
higher wages than the conventionally employed the difference was not substantially lower as it was
with traditional temporaries.
The above analysis suggests a relatively simple distinction between those who prefer temporary
work — the boundaryless worker— and those who do not — the traditional worker. We note, however,
that preference may be more appropriately characterized as a continuum. That is, workers’ reported
preferences for temporary work may be driven by a variety of factors that frame how they view their
choices. For instance, Rogers (2000) interviewed a small sample of temporary attorneys and found that
women’s perceptions of their choices were substantively different from those of their male counter-
parts. Women found their temporary legal positions better than the traditionally ‘female’ jobs they saw
446 J. H. MARLER ET AL.
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as their alternatives (Rogers, 2000, p. 132). Similarly, women seemed to feel more constrained than men
by the competing demands of family. Whereas the women reported work–family balance as a reason for
their preference for temporary work, men tended to cite a desire for pursuing other interests. Further,
women interested in building a solo practice may view temporary work as their only means of devel-
oping a network of potential referrals and clients. Finally, Rogers (2000) suggests that workers’ prefer-
ences may be constrained by social class, i.e., each of the women working in temporary legal positions
who had children also had partners with high incomes. Thus, social class and human capital allow these
women the option of working in temporary, professional positions, while a tradition of occupational
segregation and primary responsibility for home work lead them to view their jobs as preferable despite
the shortcomings of lower relative pay and status. Men, on the other hand, may perceive their choices as
less constrained and their preference for temporary work is therefore truly ‘voluntary.’ In both cases,
flexibility is valued over income. At the other end of the spectrum are unskilled, low-wage workers
(Rogers’ clerical workers), whose preference for a ‘permanent’ job may be shaped by the constraints
of their lower socioeconomic status and human capital. The flexibility valued by boundaryless workers
is of little or no worth to traditional temporaries, who view a stable employment relationship as their
best opportunity for skill development, income security, and upward mobility.
The literature suggests that the demand for specialized temporary work is increasing and we
expected there would be an effect for relative wages. We found boundaryless temporaries earned sig-
nificantly higher wages than traditional types, in absolute and relative terms; however, they still earned
less than their conventionally employed counterparts, although not substantially less compared to tra-
ditional temporaries. In the case of the boundaryless types the lower relative wage may represent the
value placed on non-monetary aspects of the employment arrangement such as greater flexibility and
autonomy, which Kunda et al. (2002) found in their case studies of higher skilled independent contrac-
tors. Alternatively, the difference of about 7 per cent may simply represent a management fee indivi-
duals are paying the temporary help agency to facilitate placement, payroll and accounting services
and the marketing of their skills. These results merit further research.
As others have recently found (c.f. Feldman et al., 1995; Van Dyne and Ang 1998; Ellingson et al.,
1998), contingent employee performance appears to be more highly correlated with attitude than those
in conventional employment relationships. Our results corroborate these findings but, most impor-
tantly, they also show that the relationship differs across temporary type. The correlation between task
performance and work satisfaction was higher (r ¼ 0.23) for the traditional group compared to the boundaryless group (r ¼ 0.10). The results are similar for contextual performance. The correlation with work satisfaction for the traditional group was higher (r ¼ 0.44) compared to the boundaryless group (r ¼ 0.30). These findings suggest that the performance of traditional temporaries might be more sensitive to their attitudes and how they feel about their assignment than boundaryless temporaries.
Further, after controlling for level of work satisfaction, traditional temporaries reported higher task
and contextual performance, again indicating that there might be greater variance in performance
within the traditional temporary group related to work satisfaction. It also suggests that traditional
types may feel compelled to work harder in the hope of transitioning to a permanent job; whereas
for the boundaryless temporary, this is not the incentive. Thus it appears the performance of boundary-
less temporaries may be more consistent but also less sensitive to managerial practices. Clearly, this is
a fruitful area for future research.
We note that the lower levels of contextual performance (measured in this study in terms of coop-
eration with the work group) reported by boundaryless temporaries is somewhat inconsistent with the
theory of boundaryless careers, which suggests that such workers might be relatively more cooperative
within project-based teams. Although boundaryless workers are theoretically less cooperative in activ-
ities not related to project work with employees, cooperation within the team is generally of more
importance to overall performance. Hence, theory suggests that organizational performance is not
BOUNDARYLESS AND TRADITIONAL CONTINGENT EMPLOYEES 447
Copyright # 2002 John Wiley & Sons, Ltd. J. Organiz. Behav. 23, 425–453 (2002)
compromised by the employment of workers with weak attachments to the organization. In contrast,
our findings, although preliminary, suggest organizations may want to consider adopting practices that
will encourage more cooperative behaviors among boundaryless temporary workers engaged for
project-based work.
What these findings also reveal is that managing the employment relationship with temporary
employees is no less complex than with regular employees and perhaps slightly more challenging
because the relationship is not directly with the employee but also involves the temporary help agency
(c.f. Maclean Parks et al., 1998; Gallagher & Maclean Parks, 2000). Apart from managing and con-
trolling labor law compliance and the transactional aspects of the employment relations, which can be
complex, these results and others indicate that satisfaction with work and the nature of the work
appears to be an important factor. Temporaries who are not satisfied may be less productive, coopera-
tive in teams, and given the transactional nature of the relationship, find it easier to leave the organiza-
tion for other assignments if dissatisfied with how things are going. Since their attachment to the client
is weak, they may feel little obligation to perform well if they are dissatisfied with their work, parti-
cularly as the costs of locating another assignment are low.
Our findings have several practical implications. First, it is clear that managers responsible for staff-
ing and compensation decisions need to consider the differences between temporary workers and how
they fit with human resource strategies. What roles within the organization do temporary workers fill
and what are the consequences of staffing with temporaries, particularly different types? Boundaryless
temporaries are quite different from other temporaries and human resource practices may have to vary
depending on which temporary type is employed. For example, boundaryless temporaries expect to
earn higher market wages but may accept less in return for flexible assignments that also improve their
marketability outside the organization. On the other hand, when demand for their skill is high, they will
be less inclined to join an organization and more discriminating about the nature of the work. This may
prove to be problematic for organizations that find they are dependent on the skills of a highly skilled
temporary who ultimately plans to leave for a better assignment. On the other hand, traditional tem-
poraries, more interested in finding a long-term employment relationship value more greatly the ben-
efits associated with permanent work (e.g., health insurance and job security).
Job characteristics and incentive systems are likely to have different motivating effects depending
on temporary type, but this is an understudied area. Very little is known about the productivity effects
of varying these attributes of work for temporary employees, generally, and for different types of tem-
porary employees specifically. Moreover, using different HR processes for temporaries is coming
under increased legal scrutiny.
Another important implication to be further explored is that these results suggest a more widespread
acceptance of boundaryless careers and the notion of employability over long-term careers within one
organization. Boundaryless temporaries are arguably a more extreme form of boundaryless career but
we found a significant subset of our sample were in this category. Research on boundaryless careers is
an emerging area (Arthur & Rousseau, 1995) and our study provides useful empirical evidence con-
cerning the prevalence of this type of career and preference for this alternative employment relation-
ship. Boundaryless temporaries, in their prime earning years, are not pursuing careers within one
organization. They preferred temporary employment relationships, which appeared to be strongly
related to their perception of job opportunities and expectation of earning higher returns. These find-
ings provide empirical support for heralding of the new deal at work, where employability and not
loyalty are key and the influence of the external labor market is affecting the nature of the employment
relationship (Capelli, 1999). Whether this is a permanent or temporary trend is an important question
for future research. The temporary help industry is betting on, and perhaps facilitating, the former. Are
organizational strategies and emerging higher-skilled temporary labor markets facilitating the shift
away from industrial internal labor market structures (Osterman, 1994) and organization-focused
448 J. H. MARLER ET AL.
Copyright # 2002 John Wiley & Sons, Ltd. J. Organiz. Behav. 23, 425–453 (2002)
employment relationships (Tsui et al., 1995)? These trends suggest new complexities for the way in
which organizations manage their employment relationships.
Finally, an issue which merits further research is the extent to which workers are truly free agents,
shaping their careers based on their individual needs and preferences, or whether they are merely
responding to the realities of uncertainty and risk that are endemic to the new economy (Rogers,
2000; Smith, 2001). Gephart (1996, p. 31) argues that, following the shift from a period of prosperity
to one of ‘social decay, resource scarcity, and social conflict,’ individuals have become dispensable,
and assumptions that ‘organizational leadership will provide solutions to social problems or will
enhance individuals’ goodwill’ have been challenged. Critical perspectives such as labor process the-
ory suggest that workplace transformation is primarily a means of maintaining managerial control over
labor resources, and qualitative evidence provides limited support for these views. Smith (2001) con-
ducted case studies of workers in four different contexts. Although she found some support for a cri-
tical perspective on workplace transformation, she also found ample evidence that workers are ‘neither
passive nor hostile bystanders, but active agents,’ who recognize the opportunities the changes offer
(Smith, 2001, p. 167). Workers expressed a common ‘desire for attachment to a secure institution,’ but
many were also willing to ‘experiment’ and take risks (Smith, 2001, p. 175).
Our findings suggest that there are different types of temporaries and that it is important to understand
which group is being studied. We believe it is not possible to generalize across temporary workers by
looking at one group without considering the other. These groups operate in different contexts that
affect how they perceive their work and this in turn relates to their work attitudes and behaviors. It
is possible the same will be true for other types of contingent work and this is an area for future research.
Limitations
The data used to explore differences in work attitude and behavior across temporary type is self-report
survey data, which may be subject to common method variance and percept–percept inflation (Spector,
1987). Many of the variables we use in our study, however, are not prone to such self-report inflated
correlation. Crampton and Wagner III (1994) conducted a comprehensive study of self-report and
multi-source data, showing that certain types of variables such as the ones we use (demographic, wage
and benefit, and job characteristics), resulted in insignificant or no inflated correlation. Indeed the two
samples on these counts yielded similar results. However, with respect to the attitudinal and perfor-
mance variables we undertook several steps to address this issue. First we tested the constructs to deter-
mine whether in fact we could detect a significant single underlying structure. Using first factor
analyses and then confirmatory factor analyses, we found no evidence for a single underlying factor.
Second, our results were consistent with other recent studies, suggesting inflation was not a factor.
Finally, we used multivariate regression to account for the possibility of inter-correlation and minimize
the possibility of type 1 error.
It is important to note also that our data are cross-sectional. As such we cannot claim that just
because someone with a temporary employment arrangement may not prefer a standard employment
arrangement at the time of the survey, that this represents a long-term career choice.
Conclusion
This study has integrated several streams of research to provide a framework for understanding the
emergence of higher skilled temporary workers. We have argued that while growth of outsourcing
BOUNDARYLESS AND TRADITIONAL CONTINGENT EMPLOYEES 449
Copyright # 2002 John Wiley & Sons, Ltd. J. Organiz. Behav. 23, 425–453 (2002)
and externalized work has led to an increased demand for temporary workers, temporary help agencies
and changing labor force demographics have also contributed to the creation of a viable market for
diverse temporary skills. Coinciding with this trend, individuals seeking greater autonomy and flex-
ibility are using their experiences across multiple employers to increase their marketability, reduce
their dependence on a single employer, and embracing boundaryless careers. It is possible that the
emergence of a temporary external labor market for high skill workers may facilitate a more wide-
spread shift toward boundaryless organizations and individuals with boundaryless careers.
Acknowledgements
We thank the editor of this special issue, Marta Calàs, Sonya J. Williams, and the two anonymous
reviewers for their helpful comments. This research was partially funded by the Center for Advanced
Human Resource Studies and by a grant from the Alfred P. Sloan Foundation (grant #96-6-9 and grant
#99-6-23).
Author biographies
Janet H. Marler is an Assistant Professor of Management at the University at Albany — S.U.N.Y., School of Business. She obtained her PhD in Industrial Labor Relations at Cornell University. Her
research interests include alternative employment relationships, work and family career issues,
technology and human resource management systems, and strategic compensation.
Melissa Woodard Barringer is an Associate Professor of Management at the Isenberg School of Management, University of Massachusetts at Amherst. Her research interests include total compensa-
tion and alternative work arrangements. She is currently studying alternative work arrangements in the
service industry and entrepreneurial job choice in developing economies.
George T. Milkovich is the M. P. Catherwood Professor of Human Resource Management at Cornell University. He also serves on the faculties of Ljubljana University in Slovenia and Zhejiang University
in China. His research interests include international remuneration and changing employment relation-
ships. He is currently studying the effects of globalization on compensation and rewards.
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