| Titre | The Implications of Artificial Intelligence for Management Decision-Making Innovativeness: Insights from Contemporary Chess Practice | |
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| Auteur | Hongxia Peng | |
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Revue | Journal of Innovation Economics |
| Numéro | no 45, 2024/3 Twin Transition | |
| Rubrique / Thématique | Varia |
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| Page | 217-245 | |
| Résumé anglais |
The automation of decision-making supported by digital processes of artificial intelligence (AI) is considered one of the outcomes of digital innovation rendering management decision-making more optimized, accurate and replicable. In parallel, dynamic capabilities are identified as critical resources for sustaining management decision-making innovativeness. Based on an analogy-based framework and a qualitative observation of AI-driven chess practice, this research examines how and why decision-making automatism (DMA) interacts with decision-making dynamism (DMD) and, consequently, could reshape management decision-making innovativeness. The analysis stipulates that AI-driven decision-making might, on the one hand, optimize tactical decision-making by favoring DMA and, on the other hand, affect DMD by mitigating dynamic capabilities, especially the inductive dynamic capabilities required for unprecedented decision-making. A typology and four theoretical propositions conceptualize these findings. The article ends by suggesting more strategic considerations with regard to the preservation of decision-making innovativeness in the mobilization of AI in management decision-making.JEL Codes: M10, O33 Source : Éditeur (via Cairn.info) |
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| Article en ligne | https://shs.cairn.info/revue-journal-of-innovation-economics-2024-3-page-217?lang=en |
