Designing and Explaining the Deterrence Management Model of Abnormal Job Behaviors

Document Type : Research Paper

Authors

1 Ph.D. Candidate Behavioral Management, Faculty of Management University of Shahid Beheshti, Tehran, Iran.

2  Assistant Professor of Public Administration, Faculty of Management and Accounting, Shahid Beheshti University, Tehran, Iran

3 Associate Professor of Behavioral Management, Faculty of Management, Tarbiat Modares University, Tehran, Iran

4 Associate Professor, Department of Public Administration, School of Management, Shahid Beheshti University, Tehran, Iran

Abstract

The main purpose of this study is to design and explain the model of deterrent management of abnormal job behaviors. This research was conducted as combined research in two stages: qualitative and quantitative. The study population of the qualitative stage were railway industry and academic elites, and the statistical population of the quantitative stage were companies' employees operating in Iran's rail industry. A multistage sampling with simple random method was used and the sampling size according to Morgan table was considered about 152 people (150 questionnaires were collected). The results based on the analysis of two rounds of Delphi showed that 16 components were approved based on the opinion of experts. In general, Smart-PLS2 software was used to analyze the observations. The results showed that the effect of inappropriate selection and employment, group cohesion, moral intelligence, leadership skills, social capital, and social and governmental education on abnormal job behavior is significant and the highest effect of the independent variable on the dependent variable is related to the effect of group cohesion on abnormal job behavior which amounts to 0.239. Also, all moderation relationships defined in the study were confirmed and after measuring and testing the research models the results indicate the approval of the model. In other words, the proposed dimensions, components, and indicators are approved.

Keywords

Main Subjects

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Volume 14, Issue 2 - Serial Number 28
December 2020
Pages 459-492
  • Receive Date: 25 December 2020
  • Revise Date: 10 April 2021
  • Accept Date: 29 May 2021