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Record W3016049201 · doi:10.1108/md-05-2019-0581

Organizational injustice and knowledge hiding: the roles of organizational dis-identification and benevolence

2020· article· en· W3016049201 on OpenAlex

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

VenueManagement Decision · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicKnowledge Management and Sharing
Canadian institutionsBrock UniversityMemorial University of Newfoundland
Fundersnot available
KeywordsInjusticeOrganizational identificationOrganizational commitmentOriginalityPsychologyModerated mediationObligationSocial psychologyOrganizational learningMediationOrganization developmentOrganizational justicePerceptionValue (mathematics)Identification (biology)Organizational studiesPublic relationsSociologyKnowledge managementPolitical science

Abstract

fetched live from OpenAlex

Purpose With a basis in social identity and equity theories, this study investigates the relationship between employees' perceptions of organizational injustice and their knowledge hiding, along with the mediating role of organizational dis-identification and the potential moderating role of benevolence. Design/methodology/approach The hypotheses were tested with three-wave survey data collected from employees in Pakistani organizations. Findings The experience of organizational injustice enhances knowledge hiding because employees psychologically disconnect from their organization. This mediation by organizational dis-identification is buffered by benevolence or tolerance for inequity, which reduces employees' likelihood of reacting negatively to the unfavourable experience of injustice. Practical implications For practitioners, this study identifies organizational dis-identification as a key mechanism through which employees' perceptions of organizational injustice spur their propensity to conceal knowledge, and it reveals how this process might be mitigated by a sense of obligation to contribute or “give” to organizational well-being. Originality/value This study establishes a more complete understanding of the connection between employees' perceptions of organizational injustice and their knowledge hiding, with particular attention devoted to hitherto unspecified factors that explain or influence this process.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.689
Threshold uncertainty score0.388

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.022
GPT teacher head0.279
Teacher spread0.257 · 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