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Record W4417149665 · doi:10.1080/14778238.2025.2598823

The mediating role of perceived team member exchange in the relationship between work engagement and knowledge manipulation and knowledge hiding

2025· article· en· W4417149665 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

VenueKnowledge Management Research & Practice · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicKnowledge Management and Sharing
Canadian institutionsYork UniversityToronto Metropolitan UniversityAthabasca University
Fundersnot available
KeywordsKnowledge sharingWork (physics)Social exchange theoryKnowledge workerWork engagementMediationTacit knowledge

Abstract

fetched live from OpenAlex

Knowledge provides employees with a strategic advantage. Thus, while organisations may encourage employees to share their knowledge, individuals may choose to manipulate or hide knowledge to maintain this advantage. By drawing from the broaden-and-build theory, this study examines the indirect effect of work engagement on knowledge manipulation and knowledge hiding via individual perceived team member exchange. In a time-separated field study (n = 128), results show that individual perceived team member exchange fully mediates the relationship between work engagement and knowledge manipulation and knowledge hiding, and that job tenure moderates the relationship between individual perceived team member exchange and knowledge manipulation, but not between individual perceived team member exchange and knowledge hiding. This paper contributes to the existing body of research on knowledge hiding and the growing literature on knowledge manipulation by uncovering affective and relational mechanisms as well as boundary conditions that impact these behaviours.

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)0.035
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.900
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0350.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0040.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.001
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 head0.217
GPT teacher head0.462
Teacher spread0.245 · 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