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Record W4320714825 · doi:10.1002/cjas.1713

Drivers of radical and incremental creativity—A moderated mediation framework

2023· article· en· W4320714825 on OpenAlexvenueno aff
Muhammad Abdul Rahman Malik, Arif Nazir Butt, Fariha Zahid

Bibliographic record

VenueCanadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration · 2023
Typearticle
Languageen
FieldPsychology
TopicCreativity in Education and Neuroscience
Canadian institutionsnot available
Fundersnot available
KeywordsCreativityPsychologyModerated mediationPerspective (graphical)PerceptionMediationSocial psychologyIntrinsic motivationSupervisorSociologyManagementComputer science

Abstract

fetched live from OpenAlex

Abstract Researchers establish that rewards play an important role in shaping employees' creative behaviors. However, little is known about the underlying mechanisms that transmit the effects of rewards for creativity on different types of creative behaviors. Drawing on the sense making perspective, this study identifies unique mediators and moderators of reward—creativity relationship. The results of this survey‐based study, comprising of 220 independent employee ‐ supervisor dyads, suggested that enjoyment in the activity mediated the relationship between intrinsic rewards and radical creative behaviors. Moreover, the interactional effects of extrinsic rewards and their perceived importance on creative behaviors were mediated through perceptions of climate for innovation. These results provide important insights and guide managers in promoting distinct types of creative behaviors.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.023
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.036
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.001
Science and technology studies0.0020.003
Scholarly communication0.0050.004
Open science0.0030.008
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0230.001

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 head0.136
GPT teacher head0.395
Teacher spread0.258 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2023
Admission routes1
Has abstractyes

Explore more

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