Predicting manufacturing employee turnover intentions

Angie Skelton, Deborah Nattress and Rocky Dwyer ()
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Angie Skelton: Blue Mountain College
Deborah Nattress: College of Management and Technology, Walden University
Rocky Dwyer: College of Management and Technology, Walden University

Journal of Economics, Finance and Administrative Science, 2020, vol. 25, issue 49, 101-117

Abstract: Purpose – Employee turnover expenses can cost businesses more than 100 per cent of a single employee’s annual wages and negatively affection an organization’s production and profits. High employee turnover also could affect community tax collections, social programs and physical and mental health issues. Therefore, understanding contributors to higher employee turnover remains essential for organizational managers from both a corporate and societal standpoint. This paper aims to provide an analysis of how job satisfaction and job embeddedness could predict employee turnover intent. Design/methodology/approach – A randomly selected survey which consisted of Andrews and Withey’s (1976) job satisfaction questionnaire, a global job embeddedness scale (Crossley et al., 2007) and a three-item turnover intent questionnaire derived from a survey created by Mobley et al. (1978) using a Likert type measurement to survey randomly selected individuals used within manufacturing plants located in the Southeastern USA. Findings – The results of the multiple regression analysis showed a significant relationship between job satisfaction, job embeddedness and turnover intent; and that satisfied and committed employees are less likely to plan to leave their employment.

Keywords: Manufacturing; Job satisfaction; Job embeddedness; Employee retention; Employee turnover intentions (search for similar items in EconPapers)
JEL-codes: D23 D24 L23 M14 M54 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:ris:joefas:0160

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