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Record W3214363868 · doi:10.1111/1744-7941.12317

Detrimental effects of work overload on knowledge hiding in competitive organisational climates

2021· article· en· W3214363868 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

VenueAsia Pacific Journal of Human Resources · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicKnowledge Management and Sharing
Canadian institutionsBrock University
FundersNational Natural Science Foundation of China
KeywordsWork (physics)SalientBusinessProcess (computing)Competitive advantageHuman resource managementPsychologyPublic relationsMarketingKnowledge managementPolitical scienceComputer science

Abstract

fetched live from OpenAlex

This article addresses unexplored questions related to why and when employees’ experience of work overload might spur their knowledge hiding behaviour, in a process mediated by family‐unfriendly time demands and moderated by a competitive organisational climate. Two‐wave, time‐lagged data, collected from employees in multiple industries, reveal that a notable reason that excessive work pressures escalate into enhanced knowledge hiding is that employees believe they have to put their jobs before their family lives. This mediating role of family‐unfriendly time demands is particularly salient in the presence of performance‐oriented organisational climates. For human resource managers, this research underscores a critical factor – the sense that employees have to sacrifice their family lives for work – through which excessive work pressures may lead employees to conceal valuable knowledge. It also reveals how this risk can be subdued by an organisational culture that avoids a strict focus on performance comparisons across 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.

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 score0.205
Threshold uncertainty score0.425

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 studies0.0000.000
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 head0.018
GPT teacher head0.297
Teacher spread0.279 · 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