Legitimacy and Illegitimacy of Generative Artificial Intelligence in Higher Education: Perceptions from the French Management Context
Régis Meissonier (),
Cécile Godé (),
Bernard Quinio (),
Alain Goudey and
Philippine Loupiac
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Régis Meissonier: UM - Université de Montpellier, Mémoires - Institut d'Administration des Entreprises (IAE) Montpellier - UM - Université de Montpellier, MRM-SI - Montpellier Research in Management - Systèmes d’Information - MRM - Montpellier Research in Management - UPVD - Université de Perpignan Via Domitia - UM - Université de Montpellier
Cécile Godé: CERGAM - Centre d'Études et de Recherche en Gestion d'Aix-Marseille - AMU - Aix Marseille Université - UTLN - Université de Toulon
Bernard Quinio: CEROS - Centre d'Etudes et de Recherches sur les Organisations et la Stratégie - UPN - Université Paris Nanterre
Alain Goudey: NEOMA - Neoma Business School
Philippine Loupiac: TBS - Toulouse Business School
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Abstract:
Generative artificial intelligence (GenAI) is rapidly transforming French management higher education, presenting both opportunities and ethical challenges. This mixed-methods study investigates divergent stakeholder perceptions of GenAI legitimacy (students, faculty, and deans) through the pragmatic, moral, and cognitive dimensions of Suchman's triadic model. Empirical findings reveal that the perceived legitimacy of GenAI in higher education coexists with forms of illegitimacy, reflected in persistent tensions across pragmatic, cognitive, and moral dimensions.The discussion shows persistent tensions between short-term utility and long-term ethical concerns, and argues that sustainable integration of GenAI requires institutional strategies prioritizing the reduction of perceived illegitimacy. By embedding the analysis of illegitimacy into legitimacy theory, this study extends conceptual tools for future research and offers actionable insights for guiding responsible GenAI adoption in higher education
Keywords: Generative AI; legitimacy; higher education; illegitimacy; pragmatic; moral; cognitive (search for similar items in EconPapers)
Date: 2026
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Published in Communications of the Association for Information Systems, inPress
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05552229
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