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Record W4388019925 · doi:10.1108/ijotb-10-2022-0206

How do workplace stressors during COVID-19 affect health frontline employees in Iran: Investigating the role of employee resilience and constituent attachment

2023· article· en· W4388019925 on OpenAlex
Alireza Khorakian, Yaghoob Maharati, Jonathan Muterera

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Organization Theory and Behavior · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsNipissing University
Fundersnot available
KeywordsStressorAbusive supervisionEmotional exhaustionPsychologyIncivilityPsychological resilienceAffect (linguistics)Social psychologyEmotional laborConceptual modelTurnoverCounterproductive work behaviorOriginalityBurnoutOrganizational commitmentClinical psychologyManagementOrganizational citizenship behavior

Abstract

fetched live from OpenAlex

Purpose The purpose of the present study is to extend the body of research on healthcare management by examining the effect of workplace stressors, including abusive supervision, customer incivility and the perceived threat of COVID-19 (PCT), on turnover intention. The study also contributes to healthcare management research by examining the mediating role of emotional exhaustion, the moderating role of employee resilience and constituent attachment. Design/methodology/approach The study developed and tested a model explaining the relationship between abusive supervision, customer incivility, PCT, emotional exhaustion, turnover intention, employee resilience and constituent attachment. Data were collected from a sample of 375 frontline employees who work in private hospitals in Mashhad, the second-most populous city in Iran. Findings The findings indicate that abusive supervision and customer incivility, directly and indirectly, affect turnover intention through emotional exhaustion. Furthermore, employee resilience was found to mitigate the relationship between stressors excluding the PCT and emotional exhaustion. Moreover, constituent attachment decreased the likelihood of turnover intention among employees who experienced abusive supervision. The findings suggest that controlling abusive supervision, customer incivility and PCT can lead to less emotionally exhausted employees with lower turnover intention. Furthermore, enhancing employee resilience and constituent attachment can decrease emotional exhaustion and turnover intention. Originality/value Despite the large body of research on the relationship between the variables mentioned above, few studies have presented a conceptual model based on the relationship between them. This article presents a conceptual model that has not been previously discussed in any other publication to examine the moderating effect of organizational and individual factors in the relationship between workplace stressors and their consequences, which have not been widely covered in existing literature. Drawing upon conservation of resources theory, job embeddedness theory and attachment theory, the present study aims to fill this gap in the literature.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.403

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.292
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it