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Record W4415871563 · doi:10.1177/23197145251387906

Knowledge-sharing Behaviour Through Leadership and Culture: The Moderating Role of Job Autonomy and Gender

2025· article· en· W4415871563 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

VenueFIIB Business Review · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicKnowledge Management and Sharing
Canadian institutionsCrandall University
Fundersnot available
KeywordsAutonomyOrganizational commitmentTest (biology)Organizational cultureJob performance

Abstract

fetched live from OpenAlex

This study examines how participative leadership, digital leadership and digital organizational culture influence employees’ knowledge-sharing behaviour and how these are moderated by job autonomy and gender in Malaysia. Responses from 412 employees were collected from various organizations in the tourism sector. The data analysis was conducted through PLS-SEM to test hypotheses. Participative leadership, digital leadership and digital organizational culture were found to have a significant influence on the knowledge-sharing behaviour of employees. Our results also showed that job autonomy significantly moderates the relationship between digital organizational culture and knowledge-sharing behaviour. The research revealed that gender does not moderate the influence of participative leadership, digital leadership and digital organizational culture on knowledge-sharing behaviour. The study significantly contributes to strategically deploying technology in an increasingly digital business world. The study has important theoretical and practical implications, which are presented together with suggestions for further research.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.904
Threshold uncertainty score0.401

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 head0.130
GPT teacher head0.362
Teacher spread0.232 · 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