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Record W2119387875 · doi:10.1504/ijeim.2014.062878

Entrepreneurial intentions of university students: an international comparison between African, European and Canadian students

2014· article· en· W2119387875 on OpenAlexaffabout
Étienne St-Jean, Aziz Nafa, Maripier Tremblay, Frank Janssen, Jacques Baronet, Christophe Loué

Bibliographic record

VenueInternational Journal of Entrepreneurship and Innovation Management · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsUniversité de SherbrookeUniversité LavalUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsTheory of planned behaviorEntrepreneurshipSociocultural evolutionSocioeconomic statusSample (material)PsychologyControl (management)Social psychologySociologyPolitical scienceDemographyManagementEconomics

Abstract

fetched live from OpenAlex

The purpose of this study is to compare the entrepreneurial intentions of university students in North Africa (Algeria) with those of students in Canada and Europe (France and Belgium), and to examine differences with regard to psychological, sociocultural and economic factors influencing these intentions. Analyses on the sample as a whole confirm the relevancy of the theory of planned behaviour (TPB) proposed by Ajzen (1991). When we differentiate among cultural groups, results were fairly similar for Canadian and European students. However, no TPB elements were significant for the Algerian students, or more significant than the control variables. We discuss the need to consider cultural factors to explain entrepreneurial intentions. Moreover, given the socioeconomic climate in Algeria, we hypothesise that among Algerian university students, entrepreneurship is motivated by necessity rather than opportunity.

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)0.001
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 score0.059
Threshold uncertainty score0.685

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.030
GPT teacher head0.286
Teacher spread0.256 · 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

Citations23
Published2014
Admission routes2
Has abstractyes

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