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Record W4385310111 · doi:10.1177/03063070231191878

When does role ambiguity escalate into diminished change-oriented organizational citizenship behavior?

2023· article· en· W4385310111 on OpenAlexaff
Dirk De Clercq, Renato Pereira

Bibliographic record

VenueJournal of General Management · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsBrock University
Fundersnot available
KeywordsAmbiguityOrganizational citizenship behaviorPsychologyWork (physics)Social psychologyOrganizational commitmentOrganizational changeHarmony (color)Empirical researchSurvey data collectionBusinessPublic relationsPolitical scienceComputer scienceEngineering

Abstract

fetched live from OpenAlex

This research investigates how employees' experience of role ambiguity may dampen their change-oriented organizational citizenship behavior (OCB), a harmful process that might be buffered by employees' access to relevant resources, stemming from their work (work passion), coworkers (peer harmony), or employing organization (affective commitment). If the hardships induced by unclear job descriptions can be subdued by these complementary, energy-enhancing resources, it becomes less likely that employees respond to resource-draining job conditions by halting extra-role work activities. Survey data collected in a large transportation company offer empirical support for these mitigating effects. As a primary conclusion, this study reveals that organizations that cannot eliminate role ambiguity completely for employees still can guarantee a certain degree of change-oriented OCB, by nurturing various resources that generate positive emotional energy among employees.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.246
Teacher spread0.228 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations9
Published2023
Admission routes1
Has abstractyes

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