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Record W4388421877 · doi:10.1080/00208825.2023.2277968

How resilient employees can prevent family ostracism from escalating into diminished work engagement and change-oriented organizational citizenship behavior

2023· article· en· W4388421877 on OpenAlexaff
Dirk De Clercq, Renato Pereira

Bibliographic record

VenueInternational Studies of Management and Organization · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsBrock University
Fundersnot available
KeywordsConservation of resources theoryWork engagementOstracismPsychological resilienceHuman resource managementWork (physics)Organizational citizenship behaviorPublic relationsSurvey data collectionLeverage (statistics)Organizational commitmentBusinessPsychologySocial psychologyPolitical scienceManagementEconomics

Abstract

fetched live from OpenAlex

Drawing from conservation of resources theory and the work–home resources model, this research examines the hitherto overlooked but highly relevant link between employees’ experience of resource-draining family ostracism and change-oriented organizational citizenship behavior, with a specific focus on the mediating role of their work engagement and moderating role of their resilience. Tests of the research hypotheses, using survey data collected among employees who work in the construction retail industry, reveal that a core channel through which social exclusion by family members translates into diminished voluntary change efforts is that employees become less engaged with work. This intermediate role of lower work engagement is less prominent, however, among employees who have a greater ability to bounce back from challenging situations. For human resource (HR) management scholars, this study accordingly helps explain why a sense of being ignored at home may lead employees to become complacent in their change efforts: Employees exhibit less enthusiasm about work. But HR management practitioners can subdue this process to the extent that they enhance and leverage employees’ resilience levels.

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.001
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 head0.041
GPT teacher head0.266
Teacher spread0.225 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2023
Admission routes1
Has abstractyes

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