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Please use the following Persistent Identifier (PID) to cite this document:
https://nbn-resolving.org/urn:nbn:de:101:1-2019080113400874913447

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Expressed turnover intention: alternate method for knowing turnover intention and eradicating common method bias

[journal article]

Abid, Ghulam
Hassan Butt, Tahira

Abstract

Employees are the building blocks and valuable assets in an organization. Organizational researchers and practitioners have shown a burgeoning attention to satisfy and retain key performer as the cost of leaving a job is very high for the employing organizations. Discovering turnover intention in it... view more

Employees are the building blocks and valuable assets in an organization. Organizational researchers and practitioners have shown a burgeoning attention to satisfy and retain key performer as the cost of leaving a job is very high for the employing organizations. Discovering turnover intention in its formation stages is very crucial, not only to resist its' piled up effect but also to control the actual turnover in the future. Most of the times, management is not aware of the employee's quit intention because employees don't show their intention explicitly until they actually leave the organization. However, majority of the times employees share their feeling with their colleagues or other close work mates. Based on positive relationship at work, we argued that the individuals who work together normally share their feelings with their close colleagues regarding their decision of leaving or staying (expressed turnover intention) with the current employer. Therefore, the objective of the current study is to investigate the relationship between turnover intention and expressed turnover intention. Furthermore, we offer a new perspective to data collection from other sources, which will assist us in shortening the questionnaire, also minimizing the common method bias and knowing the quit intention from other source. Finally, theoretical and practical implications along with direction for future studies are also discussed.... view less

Keywords
management; enterprise; turnover; co-worker

Classification
Management Science
Human Resources Management
Working Conditions

Document language
English

Publication Year
2017

Page/Pages
p. 18-26

Journal
International Letters of Social and Humanistic Sciences (2017) 78

ISSN
2300-2697

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution 4.0


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GESIS LogoDFG LogoOpen Access Logo
Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.