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Bayesian entrepreneurship

A novel framework for how entrepreneurs can use Bayesian reasoning to make decisions.\\r\\n\\r\\nThis edited volume introduces and explores the concept of Bayesian entrepreneurship, a novel framework for understanding entrepreneurial decision-making under uncertainty. It brings together contributions from leading scholars to examine how entrepreneurs form beliefs about opportunities, learn through experimentation, and make strategic decisions.\\r\\n\\r\\nThe Bayesian approach emphasizes the critical interaction between an entrepreneur’s prior beliefs and their capacity for learning and experimentation to update those beliefs. This dynamic process allows entrepreneurs to formulate and test theories about value creation and capture, attract resources and capabilities, and implement effective entrepreneurial strategies. The volume is organized around four key themes:\\r\\n\\r\\n— The foundations and distinguishing features of Bayesian entrepreneurship\\r\\n\\r\\n— How entrepreneurs form and update prior beliefs in entrepreneurial decision-making\\r\\n\\r\\n— The role of experimentation and learning in entrepreneurial strategy applications to entrepreneurship education and practice\\r\\n\\r\\nBayesian Entrepreneurship offers both theoretical contributions advancing our understanding of entrepreneurial decision-making and practical insights for entrepreneurs and educators.

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Detail Information
Series Title
-
Call Number
658.421 BAY b
Publisher
Cambridge, Massachusetts : The MIT Press.,
Collation
xxi, 325p. ill.
Language
English
ISBN/ISSN
9780262052160
Classification
658.421
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Entrepreneurship
Entrepreneurship--Mathematical models
Entrepreneurship--Decision making
Specific Detail Info
-
Statement of Responsibility
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