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Enregistrement W813470101

The Education of Entrepreneurs: An Instrument to Measure Entrepreneurial Development

2014· article· en· W813470101 sur OpenAlexaboutno aff
Kenneth F. Newbold, T. Dary Erwin

Notice bibliographique

RevueJournal of business & entrepreneurship · 2014
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueEntrepreneurship Studies and Influences
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEntrepreneurshipWorkforceGovernment (linguistics)CourseworkCompetition (biology)MarketingEconomicsEconomic growthPublic relationsBusinessPolitical scienceSociologyFinancePedagogy
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

ABSTRACTEntrepreneurship education programs have expanded across post-secondary education in the past thirty years, leading to an increased need in instruments that can evaluate the impact of entrepreneurship education. An instrument in entrepreneurial development with sub-scores in Entrepreneurial Intent, Entrepreneurship Self-Efficacy, Entrepreneurship Outcome Expectations, and Goal Directed Activity was revised over three related studies to investigate the effect entrepreneurship education has on entrepreneurship development. In three separate samples, this instrument differentiated between students, existing entrepreneurs, and alumni individuals who had entrepreneurial coursework versus individuals who did not participate in entrepreneurial education.KeywordsEntrepreneurship, education, instrument development, social cognitive career theoryINTRODUCTIONWith the rise of global economic competition, evolving business markets, and international economic uncertainty, many nations have looked for solutions to stabilize fiscal conditions. One approach has been to focus on entrepreneurship as a means of building sustainable business models upon which new ventures will flourish. With growing trends towards innovation as an economic driver, entrepreneurship has become a commonly referenced term in the popular as well as academic press and has been identified by policy leaders as a crucial element to the global marketplace. Approximately four million new businesses are created annually contributing the majority of new jobs to the US economy (Haltiwanger et al, 2009) as an illustration of the impact entrepreneurship has on economic development. Worldwide, an increased emphasis has been placed on educating the current and future workforce in aspects of entrepreneurship as a means of remaining globally competitive. Business and government officials have called upon post-secondary education to help address the need for entrepreneurs and to develop the knowledge, skills and abilities individuals require to successfully implement new business ventures. This study operationally refines the constructs of entrepreneurship development including the further design of existing instruments to measure these constructs. Moreover, these re-designed instruments are administered in three validity studies to three different samples of: (1) undergraduate students who completed an entrepreneurship course; (2) existing entrepreneurs; and (3) college graduates who had completed an entrepreneurship course up to seven years ago versus graduates who had not completed any entrepreneurship coursework. A review of the existing literature is provided below to frame entrepreneurship education in the present research, which builds upon previous study of entrepreneurial education worldwide (Santos, 2013; Engle et al, 2011) and others.Entrepreneurship educationKatz (2003) provides a historical context for the rise of entrepreneurship education in American higher education, from the earliest courses found in 1876 to focused efforts at Harvard beginning in 1947 and an increase in programs being offered in the 1970s. Today, over 1,600 US institutions of higher learning offer entrepreneurship-related courses with more than 275 endowed faculty positions and close to 50 refereed journals dedicated to the field of entrepreneurship (Katz, 2003). Gibb (1993) studied the growth of entrepreneurship education programs in the United Kingdom, illustrating a growth in the number of programs since the 1980s. The growth in entrepreneurship education programs has not been limited to the United States, as other nations around the globe have also looked to develop programs including Canada (Myrah, 2006), Portugal (Silva, et al, 2012), and the European Union (Turnbull, 2012). Despite the growth in entrepreneurial education programs, little has been done to measure the impact of entrepreneurship education on entrepreneurship development.The ability for an individual to learn entrepreneurship skills has been questioned in the popular and academic literature. …

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,521
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

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

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 Opus0,024
Tête enseignante GPT0,235
Écart entre enseignants0,211 · 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 tête enseignante, pas un consensus.

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

Citations4
Publié2014
Routes d'admission1
Résumé présentoui

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