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3. Heuristics and Biases in Enterprise Risk Management

  • 2025
  • OriginalPaper
  • Chapter
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Abstract

This chapter delves into the fundamental concepts of heuristics and biases, and their dual role in facilitating efficient decision-making while also leading to systematic errors that affect business outcomes. It explores prospect theory and its explanation of decision-making under risk, focusing on reference points, loss aversion, and the diminishing sensitivity to gains and losses. The text also examines various types of biases, including motivational, cognitive, and group-specific ones, and their influence on individual and collective decision-making within organizations. Furthermore, it provides strategies to mitigate the negative effects of cognitive biases in enterprise risk management, emphasizing structured decision-making processes, bias awareness, and a risk-aware culture. The chapter concludes with the application of theoretical concepts to real-world business scenarios, enhancing the ability to make informed and rational decisions in complex, uncertain environments. Through case studies and practical examples, the chapter offers valuable insights into the role of heuristics and biases in enterprise risk management and provides actionable strategies to improve decision-making processes.

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Title
Heuristics and Biases in Enterprise Risk Management
Authors
Robert Rieg
Ute Vanini
Werner Gleißner
Copyright Year
2025
DOI
https://doi.org/10.1007/978-3-031-86425-4_3
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