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Record W4285493917 · doi:10.1177/09504222221115954

Effect of the university’s entrepreneurial orientation on the academic’s entrepreneurial propensity

2022· article· en· W4285493917 on OpenAlex
Carlos Bazán, Arifusalam Shaikh, Katie Gillespie, Tajrian Rushat, Yousuf Radeef, Simon Yap, Chantel Finn

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueIndustry and Higher Education · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsEntrepreneurial orientationEntrepreneurshipSociologyPerceptionPsychological interventionPsychologyPublic relationsMarketingBusinessPolitical science

Abstract

fetched live from OpenAlex

This article addresses the following research question: does the entrepreneurial orientation of a university influence the entrepreneurial propensity of its academics? To answer this question, the authors conducted a two-phase study. First, based on a literature review of the entrepreneurial university and Nelles and Vorley’s theoretical framework on entrepreneurial architecture, they developed a conceptual model and research instrument to assess academics’ perceptions of the characteristics most likely attributed to the entrepreneurial university and their effects on an academic’s entrepreneurial propensity. Second, the authors used the research instrument to conduct a pilot study of the effect of a Canadian university’s entrepreneurial orientation on its academics’ entrepreneurial propensity. The pilot study, using the proposed methodology with detailed accounts of collecting, analyzing and interpreting the data, suggests that the proposed methodology is appropriate for measuring the relationship alluded to in the research question. Furthermore, the methodology can help university leadership in designing possible interventions to correct identified deficiencies in the university’s entrepreneurial architecture to stimulate academic entrepreneurship on campus.

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)0.000
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 score0.352
Threshold uncertainty score0.713

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.022
GPT teacher head0.243
Teacher spread0.221 · 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