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Record W3044527098 · doi:10.5539/ibr.v13n8p47

Entrepreneurial Orientation and Firm Performance: Evidence from Argentina

2020· article· en· W3044527098 on OpenAlexvenueno aff
Enrique Diaz Diaz, Luca Sensini

Bibliographic record

VenueInternational Business Research · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsnot available
Fundersnot available
KeywordsProactivityEntrepreneurial orientationRepresentativeness heuristicSample (material)Stratified samplingAutonomyBusinessReliability (semiconductor)MarketingSample size determinationTest (biology)Probability samplingPsychologyEntrepreneurshipStatisticsSocial psychologyMathematicsSociologyPolitical science

Abstract

fetched live from OpenAlex

This document aims to study the role played by the five dimensions of entrepreneurial orientation on corporate performance. To test our hypotheses, we used a sample of companies headquartered in Argentina. To collect the data, we used a questionnaire that was sent by e-mail to the owner and/or manager of the companies. At the end of the survey, 214 Argentine companies (21.4% of the sample) completed the questionnaire. The sampling was carried out with a stratified random approach to improve the efficiency of the estimates and ensure the representativeness of the extracted sample. To assess the reliability of the results, quantitative statistical tools were used. The analysis results show that not all variables have a significant influence on performance. In particular, three dimensions of the EO (innovation, proactivity, and risk) have a significant and positive influence on the performance of companies. Conversely, competitive aggressiveness and autonomy do not have a significant impact on performance or they are not relevant.

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 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)0.000
metaresearch head score (Gemma)0.001
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 score0.042
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.109
GPT teacher head0.343
Teacher spread0.234 · 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 teacher head, not a consensus.

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

Citations19
Published2020
Admission routes1
Has abstractyes

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