You have no items in your shopping cart.

simulation page

Studies in Managerial Judgment
Clyman, Dana R.; Smokevitch, Jennifer Case QA-0493 / Published September 4, 1996
Format Price Quantity Select
This product is sold out

Product Overview

This case and its companion, "Studies in Managerial Decision Making" (QA-0494), consist of exercises that demonstrate several cognitive biases that are likely to affect judgment in decision making. They complement a curriculum focused on the normative approach to decision analysis by demonstrating real-world examples of how decision making can be skewed. The cases cover four of the main categories of heuristics: representativeness, availability, anchoring, and framing and are intended for students who have developed expertise with decision-tree analysis. (A teaching note is available.)



Learning Objectives

The class should accomplish the following objectives: • Question the way in which a choice, situation, or decision is presented • Examine what it means to be risk-seeking, risk-averse, or risk-neutral • Recast the decision in a bias-neutral manner • Identify when and why decisions will be skewed optimistically or pessimistically • Improve objective decision making through recognition and understanding of these biases • Create additional decision-analysis tools that will be applied in subsequent normative decision-analysis cases and enrich future class discussions


  • Videos List

  • Overview

    This case and its companion, "Studies in Managerial Decision Making" (QA-0494), consist of exercises that demonstrate several cognitive biases that are likely to affect judgment in decision making. They complement a curriculum focused on the normative approach to decision analysis by demonstrating real-world examples of how decision making can be skewed. The cases cover four of the main categories of heuristics: representativeness, availability, anchoring, and framing and are intended for students who have developed expertise with decision-tree analysis. (A teaching note is available.)

  • Learning Objectives

    Learning Objectives

    The class should accomplish the following objectives: • Question the way in which a choice, situation, or decision is presented • Examine what it means to be risk-seeking, risk-averse, or risk-neutral • Recast the decision in a bias-neutral manner • Identify when and why decisions will be skewed optimistically or pessimistically • Improve objective decision making through recognition and understanding of these biases • Create additional decision-analysis tools that will be applied in subsequent normative decision-analysis cases and enrich future class discussions