EconPapers    
Economics at your fingertips  
 

Opportunities and Challenges of Big Data and Artificial Intelligence for Entrepreneurship Education

Alain Fayolle (), Sandrine Le Pontois () and Olivier Toutain ()
Additional contact information
Alain Fayolle: IDRAC Business school Lyon - Institut pour le Développement et la Recherche d'Action Commerciale - Université de Lyon
Sandrine Le Pontois: UJM - Université Jean Monnet - Saint-Étienne, COACTIS - COnception de l'ACTIon en Situation - UL2 - Université Lumière - Lyon 2 - UJM - Université Jean Monnet - Saint-Étienne, IUT Roanne - Institut Universitaire de Technologie [Roanne] - UJM - Université Jean Monnet - Saint-Étienne
Olivier Toutain: BSB - Burgundy School of Business (BSB) - Ecole Supérieure de Commerce de Dijon Bourgogne (ESC)

Post-Print from HAL

Abstract: The main objective of this article is to identify and discuss the opportunities and challenges related to the development and use of Big Data and Artificial Intelligence in teaching and educating students in entrepreneurship. We also propose a research agenda to guide future work in relation to the many questions raised by the implementation of these new technologies in the field of entrepreneurship education.

Keywords: Education; Entrepreneurship; AI; Big Data; Research; Social Construction (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Published in Revue interdisciplinaire droit et organisations, 2025, 9, pp.31-56

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05386838

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().

 
Page updated 2025-12-02
Handle: RePEc:hal:journl:hal-05386838