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Record W4393377008 · doi:10.1080/15228916.2024.2337336

A Lack of Clarity, a Lack of OCB: The Detrimental Effects of Role Ambiguity, Through Procedural Injustice, and the Mitigating Roles of Relational Resources

2024· article· en· W4393377008 on OpenAlexaff
Dirk De Clercq

Bibliographic record

VenueJournal of African Business · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsBrock University
Fundersnot available
KeywordsCLARITYAmbiguityInjusticePsychologySocial psychologyBusinessComputer science

Abstract

fetched live from OpenAlex

If employees lack information about their job responsibilities, do they halt their voluntary work efforts, and if so, why and when? To answer these questions, this study attempts to unpack the relationship between employees’ role ambiguity and organizational citizenship behavior (OCB) and proposes both a mediating role of procedural injustice and a moderating role of relational resources (i.e. social interaction and goodwill trust). Survey data collected from employees who work for a services organization in Mozambique indicate that a critical reason that unclear role descriptions diminish extra-role work activities is that employees criticize their organization for maintaining unfair decision-making processes. The informality and trustworthiness of their peer relationships mitigate this detrimental effect. For employees who feel stressed by insufficient information about job responsibilities, this study indicates a risk that their organizational standing might become compromised because they respond by refraining from work-related voluntarism. Organizations need to encourage high-quality interpersonal exchanges to help reduce this risk.

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)0.001
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 score0.328
Threshold uncertainty score0.294

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 head0.021
GPT teacher head0.267
Teacher spread0.246 · 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.

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

Citations6
Published2024
Admission routes1
Has abstractyes

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