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Record W4363676579 · doi:10.1108/joepp-11-2022-0315

Unfair rewards, poorly performing organizations and perceptions of deservingness as explanations of diminished job performance

2023· article· en· W4363676579 on OpenAlexaff
Dirk De Clercq, Inam Ul Haq, Muhammad Umer Azeem

Bibliographic record

VenueJournal of Organizational Effectiveness People and Performance · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsBrock University
Fundersnot available
KeywordsEntitlement (fair division)PsychologySocial psychologyInjusticeOriginalityValue (mathematics)Job performancePerceptionJob satisfactionEconomics

Abstract

fetched live from OpenAlex

Purpose This study aims to detail how employees’ experience of distributive injustice may compromise their job performance, with specific attention to how this detrimental process may be explained in part by their beliefs about organization-level underperformance and moderated by their own psychological entitlement. Design/methodology/approach The research hypotheses were tested with three-round, time-lagged data collected among employees and their supervisors. Findings A critical channel through which employees’ perceptions that their organization’s reward system is unfair translates into thwarted job performance is a conviction that their organization does not meet its own performance targets. As a mediator, such organizational underperformance beliefs have particularly salient effects on employees who believe they are more deserving than others. Practical implications This study gives HR managers insights into how they can reduce the danger that unfair reward practices escalate into a reduced propensity by employees to complete their job tasks diligently. HR managers should make employees aware of their possible entitlement and discourage them from expecting that things always must go their way. Originality/value This research unpacks the connection between distributive injustice and job performance, by delineating the unique roles of two pertinent factors (organizational underperformance beliefs and psychological entitlement) in this connection.

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)0.000
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 score0.006
Threshold uncertainty score0.704

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.007
GPT teacher head0.233
Teacher spread0.226 · 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

Citations10
Published2023
Admission routes1
Has abstractyes

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