A multilevel study on the causal relationship in association network of work stress: Moderating effects of social support
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.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Job length has no association with burnout.
“Three studies found that job length had no association with burnout (Fyhn et al., 2016; Valieiev et al., 2019; Yang et al., 2019).”
From Psychosocial risk and protective factors associated with burnout in police officers: A systematic review (2023) · cites this paper as Yang et al., 2019
Effort-reward imbalance is a risk factor for burnout in police officers.
“Imbalance between effort-reward was also consistently reported as a risk factor for burnout (Euwema et al., 2004; Violanti et al., 2018; Yang et al., 2019)”
From Psychosocial risk and protective factors associated with burnout in police officers: A systematic review (2023) · cites this paper as Yang et al., 2019
Role conflicts are a risk factor for burnout in police officers.
“Two studies re ported role conflicts as a risk factor for burnout (Bawa and Kaur, 2011; Yang et al., 2019).”
From Psychosocial risk and protective factors associated with burnout in police officers: A systematic review (2023) · cites this paper as Yang et al., 2019
Cited by
Sorted by citations
Alves, L., Abreo, L., Petkari, E., & Pinto da Costa, M. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.03.081 · Cited by 50 · see citing works
- Authors
- Yang, F.-C., Kao, R.-H., & Cho, C.-C.
- Affiliations
- National Kaohsiung University of Science and Technology (TW)
- National Quemoy University (TW)
- Venue
- Policing: An International Journal
- Publisher
- Emerald
- Published
- 2019-08-12
- Volume
- 42
- Issue
- 4
- Pages
- 624-639
- ISSN
- 1363-951X (ISSN-L)
- OpenAlex
- W2920620769
- Cited by
- 10
- References
- 0
- Citations by year
- 2026: 1 · 2025: 1 · 2023: 5 · 2022: 1 · 2021: 1 · 2020: 1
- FWCI
- 0.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Policing An International Journal (publishedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Stress and Burnout Research
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Job Satisfaction and Organizational Behavior
- Health Sciences › Health Professions › General Health Professions › Workplace Health and Well-being
- Keywords
- occupational stress, immigration officers, role conflict, burnout, social support, cross-level effects, moderating effect
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
