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A multilevel study on the causal relationship in association network of work stress: Moderating effects of social support

Fu-Chiang Yang (Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan)
Rui-Hsin Kao (Department of Ocean and Border Governance, National Quemoy University, Kinmen, Taiwan)
Cheng-Chung Cho (Department of Ocean and Border Governance, National Quemoy University, Kinmen, Taiwan)

Policing: An International Journal

ISSN: 1363-951X

Article publication date: 1 March 2019

Issue publication date: 22 July 2019

613

Abstract

Purpose

The purpose of this paper is to examine the causal correlation between the work stress of immigration officers (IOs) and the cross-level effect of social support.

Design/methodology/approach

A multilevel model was used to analyze the quantitative data obtained from 231 IOs in Taiwan, who served as the research objects.

Findings

From the results of this study, it was found that a positive significant relationship existed between role conflict and work stress, as well as between work stress and job burnout. Also, cross-level context and moderating effect for the relationship between social support and work stress, as well as between social support, work stress and job burnout were obtained.

Originality/value

This study only considered IOs in airports and ports. Therefore, it is necessary to determine if other topics of organizational behavior, such as the leadership of supervisors, organizational climate and work values of IOs, have a positive moderating effect. In this regard, it is recommended that a longitudinal study should be conducted in the future.

Keywords

Citation

Yang, F.-C., Kao, R.-H. and Cho, C.-C. (2019), "A multilevel study on the causal relationship in association network of work stress: Moderating effects of social support", Policing: An International Journal, Vol. 42 No. 4, pp. 624-639. https://doi.org/10.1108/PIJPSM-07-2018-0086

Publisher

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Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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