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Record W2986492014 · doi:10.1142/s1363919620500693

EFFECTS OF EMPLOYEE CREATIVE PROBLEM-SOLVING ON INNOVATION OUTCOMES AND NON-FINANCIAL PERFORMANCE: THE MODERATING ROLE OF CULTURE AND COMMUNICATION

2019· article· en· W2986492014 on OpenAlex
Noufou Ouédraogo, Mohammed Laid Ouakouak, Tarek Salem

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

VenueInternational Journal of Innovation Management · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsMacEwan University
Fundersnot available
KeywordsStructural equation modelingSample (material)CreativityInnovation managementBusinessCreative problem-solvingKnowledge managementMarketingPsychologySocial psychologyComputer science

Abstract

fetched live from OpenAlex

The purpose of this paper is to investigate the effects of employees’ creative problem-solving on organisations’ innovation outcomes, as well as the effects of innovation outcomes on organisations non-financial performance. Based on a sample of 320 participants from diverse organisations, using structural equation modelling techniques, we find that creative problem-solving does not have any effect on innovation outcomes, except with the moderating influence of an innovative culture or communication. We also find that innovation outcomes have a positive relationship with non-financial performance. We make theoretical contributions into the antecedents of innovation outcomes, while offering several practical insights for leading creative employees and managing innovation.

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 score0.202
Threshold uncertainty score0.334

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.005
GPT teacher head0.228
Teacher spread0.223 · 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