Turnover intention among Indian police: Do organizational and community stressors matter?. (September 2022)
- Record Type:
- Journal Article
- Title:
- Turnover intention among Indian police: Do organizational and community stressors matter?. (September 2022)
- Main Title:
- Turnover intention among Indian police: Do organizational and community stressors matter?
- Authors:
- Anand, Vaijayanthee
Verma, Luv
Santhanam, Nivethitha
Grover, Atipriya - Abstract:
- Abstract: Purpose: This study investigates the influence of organizational (abusive supervision, organizational support, and interpersonal trust) and community (political interference and perceived crime rate) stressors on police turnover intention via the mediating role of burnout. Methods: A total of 492 police personnel from India participated in the study. Structured Equation Modeling (SEM) was performed for testing hypotheses. Additionally, a machine learning model was built to develop concurrent predictive capability for burnout and turnover intention. Results: While abusive supervision and political interference positively influenced police turnover intention, co-worker trust, perceived organizational support and perceived crime rate negatively contributed to turnover intention. Burnout was found to significantly mediate the relationship between stressors and turnover intention. The machine learning model developed for the study that indicated an accuracy of 85% asserted that about 60% of the sample who suffered from burnout were also prone to developing a positive attitude towards turnover intention. Conclusion: This study is among the first to empirically explore the precursors to police turnover intention in India and establish the role of burnout in the turnover process. Based on the findings, the police organization can introduce and modify policies and practices to help control high employee turnover. Highlights: Abusive supervision in policing can increase theAbstract: Purpose: This study investigates the influence of organizational (abusive supervision, organizational support, and interpersonal trust) and community (political interference and perceived crime rate) stressors on police turnover intention via the mediating role of burnout. Methods: A total of 492 police personnel from India participated in the study. Structured Equation Modeling (SEM) was performed for testing hypotheses. Additionally, a machine learning model was built to develop concurrent predictive capability for burnout and turnover intention. Results: While abusive supervision and political interference positively influenced police turnover intention, co-worker trust, perceived organizational support and perceived crime rate negatively contributed to turnover intention. Burnout was found to significantly mediate the relationship between stressors and turnover intention. The machine learning model developed for the study that indicated an accuracy of 85% asserted that about 60% of the sample who suffered from burnout were also prone to developing a positive attitude towards turnover intention. Conclusion: This study is among the first to empirically explore the precursors to police turnover intention in India and establish the role of burnout in the turnover process. Based on the findings, the police organization can introduce and modify policies and practices to help control high employee turnover. Highlights: Abusive supervision in policing can increase the likelihood of subordinate turnover intention. Investing in developing trust among co-workers and a supportive environment can significantly diminish the intention to quit. Police personnel who experience burnout are at a high risk of voluntarily leaving their job. Police personnel's perception of a high crime rate in their work jurisdiction reduces the chances of turnover intention. Efforts to minimize political interference can ease the cases of turnover intention. … (more)
- Is Part Of:
- Journal of criminal justice. Volume 82(2022)
- Journal:
- Journal of criminal justice
- Issue:
- Volume 82(2022)
- Issue Display:
- Volume 82, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 82
- Issue:
- 2022
- Issue Sort Value:
- 2022-0082-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-09
- Subjects:
- Police stress -- Burnout -- Turnover intention -- Machine learning model -- Organizational stressors -- Community stressors -- India
Criminal justice, Administration of -- Periodicals
Justice pénale -- Administration -- Périodiques
364.05 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00472352 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jcrimjus.2022.101969 ↗
- Languages:
- English
- ISSNs:
- 0047-2352
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4965.530000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24456.xml