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Record W3209041736 · doi:10.3390/socsci10110415

The Impact of Gender on Entrepreneurial Intention in a Peripheral Region of Europe: A Multigroup Analysis

2021· article· en· W3209041736 on OpenAlexfundno aff
Sofia Gomes, Jo�ão M. Lopes, José Oliveira, Márcio Oliveira, Tânia Santos, Marlene Sousa

Bibliographic record

VenueSocial Sciences · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsnot available
FundersCentro Interdisciplinar de Ciências SociaisFederation for the Humanities and Social SciencesUniversidade da Beira Interior
KeywordsEntrepreneurshipPsychologyWomen entrepreneursSocial psychologyControl (management)Sample (material)Political scienceEconomicsManagement

Abstract

fetched live from OpenAlex

The last two decades were characterized by an increase in attention on entrepreneurship. An emerging trend in the literature is associated with the different contributions that genders may have regarding entrepreneurship and entrepreneurial intentions. This paper assesses gender impact on entrepreneurial intention in a peripheral region of Europe. The methodology used is quantitative and based on a sample of 1114 observations. The obtained results suggest that women’s perceived behavioral control does not have a less direct positive impact on entrepreneurial intention when compared to men’s. Women’s personal attitude has a less direct positive impact on entrepreneurial intention when compared to men’s, as social norms, on the one hand, have a less direct positive impact on women’s personal attitude when compared to men’s, and, on the other hand, have a less direct positive impact on women’s perceived behavioral control when compared to men’s. Finally, it was also verified that social norms have a less positive indirect impact through personal attitude and perceived behavioral control on women’s entrepreneurial intention when compared to men’s. These findings contribute to enlighten the literature by strengthening the theoretical framework on women’s entrepreneurial intention in peripheral regions. Regarding practical contributions, suggestions are addressed to public decision makers, universities, and civil society, to adopt practices to increase entrepreneurship in women. This research is original because it is the first to perform this study in Portugal, a peripheral region of Europe.

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)0.000
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 score0.008
Threshold uncertainty score0.377

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.051
GPT teacher head0.310
Teacher spread0.259 · 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.

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

Citations27
Published2021
Admission routes1
Has abstractyes

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