Uncertainty in Strategic Decision Making: Analysis, Categorization, Causation and Resolution 

Summary: The book expands on Knight's 1921 definition of uncertainty as an informational market failure that can offer profitable opportunities. It analyzes alternative approaches to strategic decision-making under uncertainty, defining what uncertainty is, why it matters, and its connections to business and other fields. The book provides a new typology and guide for addressing different types of uncertainties, including those related to AI. It clarifies confusion about 'unknowns' and challenges the notion that all uncertainty can be treated as risk. The book broadens the perspective on uncertainty's impacts across humanity and appeals to academics in various disciplines looking for practical and theoretical approaches to decision-making under uncertainty.

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