Abstract

SummaryMany employees in modern, knowledge‐based organizations are concurrently involved in more than one team at the same time. This study investigated whether a within‐person change in such individual multiple team membership (MTM) may precede and may be predicted by changes in an employee's overall job performance. We examined this reciprocal relationship using longitudinal archival data from a large knowledge‐intensive organization, comprising 1,875 employees and spanning 5 consecutive years. A latent change score model demonstrated that an increase in an employee's MTM was associated with a subsequent decrease in his or her overall job performance evaluations. By contrast, an increase in job performance was associated with a subsequent increase in an employee's MTM. Moreover, our results indicated that although an increase in an individual employee's MTM initially decreases his or her job performance, in the long run, this increase in MTM was associated with higher job performance. Together, these results suggest a dynamic association between an individual employee's MTM and his or her overall job performance, such that these variables are mutually connected in a highly complex manner over time.

Highlights

  • In an attempt to use scarce human resources as effectively and efficiently as possible, knowledge‐based organizations increasingly rely on flexible project teams in which memberships are frequently shared, shifted, and dissolved (Mortensen, 2014)

  • The respective relationship is positive and significant (ξ2 = 9.95, p < .01), thereby supporting Hypothesis 2. These results suggest that changes in an individual employee's multiple team membership (MTM) and his or her overall job performance dynamically relate to each other in a negative, deviation‐counteracting feedback loop

  • We examined the dynamic relationship between such MTM and individual employees' overall job performance, drawing on a 5‐year longitudinal sample of knowledge workers

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Summary

Introduction

In an attempt to use scarce human resources as effectively and efficiently as possible, knowledge‐based organizations increasingly rely on flexible project teams in which memberships are frequently shared, shifted, and dissolved (Mortensen, 2014). Within such contexts, many individuals work on more than one project at the same time (O'Leary, Mortensen, & Woolley, 2011), enabling various teams to concurrently benefit from their expertise. Individual research and development employees often work simultaneously on several project teams, with each team utilizing their specific knowledge and contributions (Bertolotti, Mattarelli, Vignoli, & Macrì, 2015). Beyond team‐level performance implications, it seems critical to

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