AI Bibliography
AI Bibliography |
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von Krogh, G., Ben-Menahem, S., & Shrestha, Y. R. (2021). Artificial intelligence in strategizing: Prospects and challenges. Strategic Management. |
| Resource type: Journal Article BibTeX citation key: vonKrogh2021 View all bibliographic details  |
Categories: Artificial Intelligence, Cognitive Science, Complexity Science, Computer Science, Data Sciences, Decision Theory, General, Mathematics, Military Science Subcategories: Analytics, Augmented cognition, Behavioral analytics, Big data, Decision making, Deep learning, Forecasting, Human decisionmaking, Informatics, Machine learning, Machine recognition, Psychology of human-AI interaction, Strategy Creators: Ben-Menahem, Shrestha, von Krogh Publisher: Collection: Strategic Management |
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| Abstract |
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Recent developments in the theory and research on artificial intelligence hold great promises as well as challenges for the strategist's core activities and conduct of strategic processes. These promises and challenges requires the strategy field to both reevaluate some of the principal assumptions and implications of strategizing. In this chapter we take stock of research on AI applied to strategizing, and illustrate what we believe are key questions for future research on the strategy-AI nexus. We discuss the potential of AI in two stages in the strategy process: strategic analysis and-formulation, as well as strategy implementation. Our aim is to engage strategy scholars in advancing AI-related research on strategizing.
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