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Record W4379364409 · doi:10.5267/j.uscm.2023.5.013

Increasing product competitiveness in weaving SMEs: The role of competency, creativity, and performance

2023· article· en· W4379364409 on OpenAlexvenueno aff
Ida Ayu Oka Martini, I Wayan Edi Arsawan, Desak Made Febri Purnama Sari, Nilna Muna

Bibliographic record

VenueUncertain Supply Chain Management · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicImpulse Buying and Technology Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsCreativityWeavingModerationStructural equation modelingProduct (mathematics)BusinessProduct innovationNew product developmentLinkage (software)MarketingPsychologyComputer scienceEngineeringSocial psychologyMechanical engineering

Abstract

fetched live from OpenAlex

This study examines the link between employee competency, creativity, and performance in generating product competitiveness in the weaving industry. It also analyzed the moderating role of time sufficiency in reinforcing employee performance and product competitiveness. This study was designed quantitatively by administering a questionnaire to 662 employees from 331 weaving SMEs in Indonesia using structural equation modelling. The analysis revealed that employee competency positively affects creativity, performance, and product competitiveness. Additionally, time sufficiency was confirmed as moderator in strengthening the linkage between employee creativity, performance, and product competitiveness.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.226
Teacher spread0.206 · 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 designObservational
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

Citations4
Published2023
Admission routes1
Has abstractyes

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