Developing an Explanatory Risk Management Model to Comprehend the Employees’ Intention to Leave Public Sector Organization

Carolina Prihandinisari, Azizur Rahman and John Hicks
Additional contact information
Carolina Prihandinisari: Section Head of Withholding Income Taxes at Directorate of Tax Regulations, Directorate General of Tax, Ministry of Finance, Jakarta 12190, Indonesia
Azizur Rahman: School of Computing and Mathematics, Charles Sturt University, Wagga Wagga, NSW 2678, Australia
John Hicks: School of Accounting and Finance, Charles Sturt University, Bathurst, NSW 2678, Australia

JRFM, 2020, vol. 13, issue 9, 1-18

Abstract: This paper reviews research and theory on the important topic of labour turnover resulting from issues related to job performance and/or job satisfaction which have, in turn, been initiated by changes in work motivation. We focus on labour turnover in the public sector—a neglected area of public administration research—and propose an explanatory model of the development of the intention to leave an organization. The model first describes the relationships between work motivation and job performance and/or job satisfaction. It then explains how changes in performance and/or satisfaction result in the formation of an intention to leave public service employment. The paper concludes by identifying key areas for future research.

Keywords: financial incentives; public service motivation; job performance; job satisfaction; intention to leave (search for similar items in EconPapers)
JEL-codes: C E F2 F3 G (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1911-8074/13/9/200/pdf (application/pdf)
https://www.mdpi.com/1911-8074/13/9/200/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jjrfmx:v:13:y:2020:i:9:p:200-:d:408833

Access Statistics for this article

JRFM is currently edited by Ms. Chelthy Cheng

More articles in JRFM from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().