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dc.contributor.authorHausknecht, John
dc.contributor.authorHolwerda, Jacob A.
dc.date.accessioned2020-11-17T17:16:39Z
dc.date.available2020-11-17T17:16:39Z
dc.date.issued2013-01-01
dc.identifier.other10359719
dc.identifier.urihttps://hdl.handle.net/1813/75208
dc.description.abstractIn theory, employee turnover has important consequences for groups, work units, and organizations. However, past research has not revealed consistent empirical support for a relationship between aggregate levels of turnover and performance outcomes. In this paper, we present a novel conceptualization of turnover to explain when, why, and how it affects important outcomes. We suggest that greater attention to five characteristics—leaver proficiencies, time dispersion, positional distribution, remaining member proficiencies, and newcomer proficiencies—will reveal dynamic member configurations that predictably influence productive capacity and collective performance. We describe and illustrate the five properties, explain how particular member configurations exacerbate or diminish turnover’s effects, and present a new measurement approach that captures these characteristics in a collective context and over time.
dc.language.isoen_US
dc.rightsRequired Publisher Statement: © INFORMS. Final version published as: Hausknecht, J. P., & Holwerda, J. A. (2013). When does employee turnover matter? Dynamic member configurations, productive capacity, and collective performance [Electronic version]. Organization Science, 24(1), 210-225. doi: abs/10.1287/orsc.1110.0720 Reprinted with permission. All rights reserved.
dc.subjectturnover
dc.subjectperformance
dc.subjectorganizational learning
dc.subjectgroups
dc.subjecttime
dc.subjectretention
dc.subjecthuman resources
dc.titleWhen Does Employee Turnover Matter? Dynamic Member Configurations, Productive Capacity, and Collective Performance
dc.typearticle
dc.relation.doihttps://doi.org/10.1287/orsc.1110.0720
dc.description.legacydownloadsHausknecht8_When_does_employee_turnover_matter.pdf: 1042 downloads, before Oct. 1, 2020.
local.authorAffiliationHausknecht, John: jph42@cornell.edu Cornell University
local.authorAffiliationHolwerda, Jacob A.: Cornell University


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