Predicting Counterproductive Performance Among Temporary Workers: A Note

Using prehire biographic and work history data, temporary help agency workers (N= 201) were classified as marginal or satisfactory. Marginal temps had characteristics suggesting poor work histories and willingness to accept any kind of employment. In prior jobs, they were paid less and more likely t...

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Vydáno v:Industrial relations (Berkeley) Ročník 44; číslo 3; s. 550 - 554
Hlavní autoři: POSTHUMA, RICHARD A., CAMPION, MICHAEL A., VARGAS, AMBER L.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford, UK Blackwell Publishing, Ltd 01.07.2005
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ISSN:0019-8676, 1468-232X
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Shrnutí:Using prehire biographic and work history data, temporary help agency workers (N= 201) were classified as marginal or satisfactory. Marginal temps had characteristics suggesting poor work histories and willingness to accept any kind of employment. In prior jobs, they were paid less and more likely to have been laid off. They had also been temps for longer periods of time, and were more willing to work weekends and nights. The classification of temps as marginal versus satisfactory was validated using posthire data, showing that marginal temps had lower performance evaluations, and exhibited more counterproductive behaviors (e.g., late, absent, unsafe, or careless).
Bibliografie:ark:/67375/WNG-M37CDHP7-M
ArticleID:IREL400
istex:90343E5B7FA6379CBB7271C4D249010DD8FBB76D
The authors' affiliations are, respectively, College of Business Administration, University of Texas at El Paso, El Paso, Texas, Purdue University, Krannert Graduate School of Management, West Lafayette, Indiana, and RM Personnel, El Paso, Texas. E-mail: rposthuma@utep.edu, campionm@mgmt.purdue.edu, and amberm@rmpersonnel.com.
and
rposthuma@utep.edu
The authors’ affiliations are, respectively, College of Business Administration, University of Texas at El Paso, El Paso, Texas, Purdue University, Krannert Graduate School of Management, West Lafayette, Indiana, and RM Personnel, El Paso, Texas. E‐mail
amberm@rmpersonnel.com
,
campionm@mgmt.purdue.edu
.
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ISSN:0019-8676
1468-232X
DOI:10.1111/j.0019-8676.2005.00400.x