The Implications of Artificial Intelligence for Management Decision-Making Innovativeness: Insights from Contemporary Chess Practice

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 1.Acknowledgments: The author expresses her deep acknowledgments to Axel Delorme, chess Grandmaster, for his thoughtful and pedagogical explanation of contemporary chess practice.She also thanks the attendees of the 10th IEEE International Conference on Cognitive Info-Communications (Naples, 2019) for inspirational conversations on the methodological potential of chess.Likewise, the author would like to thank the