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On the association between perceived overqualification and adaptive behavior

Wu, Chia-Huei, Tian, Amy, Luksyte, Aleksandra and Spitzmueller, Christiane (2017) On the association between perceived overqualification and adaptive behavior. Personnel Review, 46 (2). pp. 339-354. ISSN 0048-3486

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Identification Number: 10.1108/pr-05-2015-0134

Abstract

Purpose – The purpose of this research was to offer an autonomous motivation perspective to explore the relationship between perceived overqualification and adaptive work behavior and examine job autonomy as a factor that may moderate the association. Design/methodology/approach – The hypotheses were tested in two culturally, demographically, and functionally diverse samples: Sample 1 was based on North American community college employees (N = 215); sample 2 was based on full-time workers, employed in a Chinese state-owned enterprise specializing in shipping (N = 148). Findings – In Study 1, perceived overqualification was negatively related to self-rated adaptive behavior. A follow-up Study 2 extended these findings by demonstrating that perceived overqualification was negatively related to supervisor-rated adaptive work behavior when job autonomy was low, rather than high. Implications – The results of this research offer an autonomous motivation perspective to explain why perceived overqualification relates to adaptive behavior and suggests a job design approach to encourage adaptive behaviors of people who feel overqualified – a sizable segment of the current workforce. Originality/value – This is one of the first studies to explore adaptive behavior of workers who feel overqualified – an outcome that has not been examined in this domain. Our findings further point out what can be done to encourage adaptive behaviors among overqualified employees.

Item Type: Article
Official URL: http://www.emeraldinsight.com/loi/pr
Additional Information: © 2017 Emerald Group Publishing Limited
Divisions: Management
Subjects: H Social Sciences > H Social Sciences (General)
H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Sets: Departments > Management
Date Deposited: 04 May 2016 09:12
Last Modified: 20 Jul 2019 02:24
URI: http://eprints.lse.ac.uk/id/eprint/66320

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