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Record W4386349337 · doi:10.33423/jabe.v25i4.6339

Examining the Entrepreneurial Mindset and Entrepreneurial Intentions

2023· article· en· W4386349337 on OpenAlexvenueno aff
John James Cater, Marilyn Young, Lei Hua

Bibliographic record

VenueJournal of Applied Business and Economics · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsnot available
Fundersnot available
KeywordsMindsetTheory of planned behaviorPsychologyValue (mathematics)Social psychologyFamily businessPandemicCoronavirus disease 2019 (COVID-19)MarketingBusiness administrationBusinessManagementControl (management)Economics

Abstract

fetched live from OpenAlex

We examined factors contributing to developing entrepreneurial intentions (EI) and the relationship between EI and the entrepreneurial mindset (EM) among nascent student entrepreneurs. Further, we seek to increase awareness among business practitioners of the value of nascent entrepreneurs to the economy. Utilizing the theory of reasoned action and the theory of planned behavior, we investigated personal and contextual factors related to EI. We surveyed 400 US business college students, comparing those with EI (n=228) and those without EI (n=178). Our findings indicated that compared to respondents who did not have EI, respondents who possessed EI reported several significant personal factors. Specifically, they were more likely to view themselves as entrepreneurs, have family members who owned their own businesses, lead group projects as students, and have previously worked in a startup business. Additionally, the contextual factor of the Covid-19 pandemic positively affected business students who possessed EI.

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 score0.254
Threshold uncertainty score0.431

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.028
GPT teacher head0.207
Teacher spread0.179 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

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