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Record W4410387028 · doi:10.1080/14783363.2025.2503433

Entrepreneurial orientation as a predictor of organizational quality performance: a meta-analysis

2025· article· en· W4410387028 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

VenueTotal Quality Management & Business Excellence · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicBusiness and Economic Development
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsEntrepreneurial orientationBusinessQuality (philosophy)Orientation (vector space)Meta-analysisBusiness administrationMarket orientationMarketingEntrepreneurshipMathematics

Abstract

fetched live from OpenAlex

Entrepreneurial orientation (EO) and organizational quality performance (OQP) are crucial factors in determining an organization's success. Nonetheless, existing studies have yet to examine the distinct influence of EO on OQP. This meta-analysis aims to synthesize the relationship between EO behaviors, including innovativeness, proactiveness, and risk-taking, and OQP and its subdimensions of soft quality management practices (SQMP), hard quality management practices (HQMP), product quality (PQ), and service quality (SQ) across 13 studies (N = 21,789) from both service and manufacturing industries. The results indicate a significant positive association between EO and the dimensions of OQP (i.e. SQMP, HQMP, SQ, and PQ). Furthermore, moderation analysis reveals that industry type significantly moderates the EO-OQP relationship, with stronger effects observed in service firms than in manufacturing firms. These findings establish EO as a driver of quality improvement and provide practical contributions for managers on integrating entrepreneurial behaviors into quality management systems to enhance quality practices and outcomes.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.260
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.000

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 head0.028
GPT teacher head0.273
Teacher spread0.245 · 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