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Record W2612491650 · doi:10.1093/jcr/ucx062

Social-Recognition versus Financial Incentives? Exploring the Effects of Creativity-Contingent External Rewards on Creative Performance

2017· article· en· W2612491650 on OpenAlex
Ravi Mehta, Darren W. Dahl, Rui Zhu

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

VenueJournal of Consumer Research · 2017
Typearticle
Languageen
FieldPsychology
TopicCreativity in Education and Neuroscience
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCreativityNormativeIncentiveOriginalityContingencyPsychologyContext (archaeology)Social psychologyEconomicsMicroeconomicsPolitical scienceEpistemology

Abstract

fetched live from OpenAlex

Abstract The present work examines the role of creativity-contingent monetary versus social-recognition rewards on creative performance and provides new insights into the underlying motivational processes through which these rewards affect consumer creativity. A series of five studies demonstrate that within the context of creativity contingency, monetary rewards induce a performance focus, while social-recognition rewards induce a normative focus. Such performance (normative) focus in turn enhances (attenuates) approach motivation to be original and hence leads to higher (lower) originality in a creative task. Thus, this work not only advances the current understanding of how and why two types of widely used creativity-contingent external rewards may have contrasting effects on creative performance, but it also offers important practical insights to managers who utilize reward systems in cultivating consumer creativity in their innovation platforms.

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)0.003
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.844
Threshold uncertainty score0.835

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.324
GPT teacher head0.497
Teacher spread0.173 · 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