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Enregistrement W242012872

Entrepreneurial Beliefs and Intentions: A Cross-Cultural Study of University Students in Seven Countries

2011· article· en· W242012872 sur OpenAlexaffabout
Yvon Gasse, Maripier Tremblay

Notice bibliographique

RevueInternational Journal of Business · 2011
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueEntrepreneurship Studies and Influences
Établissements canadiensUniversité Laval
Organismes subventionnairesnon disponible
Mots-clésEntrepreneurshipPsychologySociologyMarketingSocial psychologyDemographic economicsPublic relationsManagementPolitical scienceBusinessEconomicsLaw
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

I. INTRODUCTION Entrepreneurship has become a priority for several societies. The capacity of new firms to contribute to economic growth (Achs and Armington, 2003), jobs (Birch, 1987) and innovation (Reynolds, Storey and Westhead, 1994) fully justifies the interest they generate. Given this prioritization, universities are increasingly being called upon to play a more active role, in particular by providing their students with education and support that make an entrepreneurial career easier to undertake. The involvement of universities is all the more important given that this career avenue is becoming a more common and necessary choice for students. Certain studies have focused on the entrepreneurial intentions of university students (Audet, 2004; Boissin and Emin, 2006; Kolvereid, 1996; Tkachev and Kolvereid, 1999). Filion, L'Heureux, Kadji-Youlaeu and Bellavance (2002) showed that 58% of Quebec university students intended to start up a business. Similarly, even though Audet (2004) found that only 8% of English-speaking Quebec university students intended to start up a business in the short term, 45% of them estimated that there was a 75% chance that they would one day run their own enterprise. These results are consistent with those collected in Russia and Norway (Kolvereid, 1996; Tkachev and Kolvereid, 1999). However, few studies have attempted to understand how the students' values, attitudes and behaviour, that is their entrepreneurial potential, can predispose them to founding an enterprise, creating their own job or having the intention to do so. Several studies have clearly demonstrated that entrepreneurial behaviour is strongly influenced by people's values, attitudes and beliefs (Krueger, 1993; Krueger and Brazeal, 1994; Krueger and Carsrud, 1993). More importantly, beliefs are influenced by the national culture and social context. Nonetheless, even though it might be reasonable to believe that the microeconomic and cultural environments of some countries favour entrepreneurial behaviour whereas others discourage it, further investigation is needed (Arenius and Minniti, 2005). Accordingly, this paper presents the results of a study undertaken to better understand and compare the intentions, interests and prevalence of university students from Canada, Tunisia, France, Romania, United-Kingdom, Columbia, and Germany. The study also compares these different groups with regard to their beliefs and perceptions about entrepreneurship. Not only does this study allow us to draw up a profile of university students in the seven countries, it also allows us to study the cultural dimension and its possible impact on the students' entrepreneurial activity. We will begin by examining the theoretical context and our conceptual model, which is partially based on the principles of planned behaviour. We will then explain the research design and presenting the results. Finally, we will discuss the conclusions that can be drawn from these results and the limits of the research. II. THE THEORETICAL CONTEXT There are several models and theories that explain the complex phenomenon of entrepreneurship. This study draws its inspiration from models described in the scientific literature on the theory of reasoned action and planned behaviour (Ajzen, 1991); these models attempt to predict and explain individual behaviour, which in the present case is business start-up. Accordingly, we will review the main principles of the models stemming from this area. We will also take a look at the various studies that have examined student entrepreneurship, then a brief discussion on the impact of the cultural dimension on entrepreneurial predispositions. A. Entrepreneurship as A Decision-making Process Shapero and Sokol (1982) were among the first authors to use planned behaviour theory in an entrepreneurial context. Their work gave rise to numerous studies whose results have pointed to the usefulness of this theory in understanding business creation (Davidsson, 1995; Krueger, 1993; Krueger and Brazeal, 1994; Krueger and Carsrud, 1993; Krueger and Dickson, 1994; Krueger, Reilly and Carsrud, 2000; Reitan, 1996). …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,013
Score d'incertitude au seuil0,027

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,003
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0030,002
Communication savante0,0040,001
Science ouverte0,0010,002
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,029
Tête enseignante GPT0,282
Écart entre enseignants0,253 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations80
Publié2011
Routes d'admission2
Résumé présentoui

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