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Record W4310038921 · doi:10.3390/admsci12040175

The Impact of Leadership on Boosting Employee Creativity: The Role of Knowledge Sharing as a Mediator

2022· article· en· W4310038921 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

VenueAdministrative Sciences · 2022
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsCreativityKnowledge sharingOpenness to experienceBusinessTertiary sector of the economyPublic relationsEmployee engagementMarketingKnowledge managementPsychologySocial psychologyPolitical science

Abstract

fetched live from OpenAlex

In this study, we examined the role that knowledge sharing plays in mediating the relationship between the employee trust in leadership and employee innovation in the service sector in the United Arab Emirates (UAE). We included 346 people employed in the service industry. According to the study’s findings, having faith in one’s leader has a beneficial and discernibly positive impact on the degree to which employees share their knowledge and innovate. Knowledge sharing has a positive and substantial effect on the creativity of employees, and vice versa. According to the study’s findings, the openness of leaders partially mediates the willingness of employees to try new things and share information, which is a consequence of the trust that employees have in their leaders and their willingness to experiment with new concepts.

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 score0.207
Threshold uncertainty score0.958

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.098
GPT teacher head0.348
Teacher spread0.249 · 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