The challenges of generative artificial intelligence for digital services companies

Les défis de l'intelligence artificielle générative pour les entreprises de services numériques

Morgan Blangeois ()
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Morgan Blangeois: CleRMa - Clermont Recherche Management - ESC Clermont-Ferrand - École Supérieure de Commerce (ESC) - Clermont-Ferrand - UCA - Université Clermont Auvergne, UCA - Université Clermont Auvergne

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Abstract: The poster explores the challenges posed by generative artificial intelligence (AI) systems to digital service companies, focusing on their strategic adaptation and individual adoption processes. Grounded in a critical realist epistemology, the research adopts a mixed-method approach combining qualitative and quantitative data. It examines organizational dynamics through the lens of dynamic capabilities theory and individual adoption using the UTAUT framework. The study seeks to understand how companies sense, seize, and transform resources to adapt to AI-driven changes. This interdisciplinary work combines strategic management concepts, empirical data, and programming skills to deliver actionable insights into the integration of generative AI in business contexts.

Keywords: UTAUT Framework; Generative AI; Digital Services Companies; Dynamic Capabilities; Mixed-Methods Research; Critical Realism; Recherche mixte; Réalisme critique; UTAUT; Adaptation stratégique; Capacités dynamiques; Entreprises de services numériques; IA générative (search for similar items in EconPapers)
Date: 2024-06-13
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Published in Journée de l'Ecole Doctorale Sciences Economiques, Juridiques, Politiques, et de Gestion, Jun 2024, Clermont-Ferrand, France. 2024

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