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Managerial Decision Making
http://DSign4Analytics.com
Cognitive Biases
January 24 2017
Prof. M. MINHAJ
Cognitive
Biases
Working
with
Data
Decisions
under
Risk
Kindly Note
• Interaction in the class is important (your
English is not being assessed !)
• Reading assignments and the recommended
use of web resources / tools is an absolute
prerequisite for meaningful class participation.
What are your expectations
from the course ?
The context of the course….
Border less economy
Business
Agility
Unceasing technological
innovations
Social Issues
Survival of the fittest
Managerial Decision Making
• Management is a process by which
organizational goals are achieved by using
resources
– Inputs: resources
– Output: attainment of goals
– Measure of success: outputs / inputs
• Management  Decision Making
• Decision making: selecting the best solution
from two or more alternatives
Why Decision Making is difficult ?
• Information systems, advanced search engines, and
globalization result in more and more alternatives to choose
• Government regulations and the need for compliance,
political instability and terrorism, competition, and
changing consumer demands produce more uncertainty,
making it more difficult to predict consequences and the
future
• Other factors are the need to make rapid decisions, the
frequent and unpredictable changes that make trial-and-
error learning difficult, and the potential costs of making
mistakes
Types of decisions
Gory and Scott-Morten Framework
Simon’s Decision Making Model
Three Steps : Intelligence, Design and Choice.
Intelligence Phase : The problem is identified, and
information is collected concerning the problem.
Design phase : Alternatives are developed. This phase may
involve a great deal of research into the available options.
Choice Phase : Alternatives that are developed in the
design phase are evaluated and one of them is chosen.
Bounded rationality
• It is the idea that when individuals make decisions, their rationality is
limited by the tractability of the decision problem, the cognitive
limitations of their minds, and the time available to make the decision.
• Decision-makers in this view act as satisficers, seeking a satisfactory
solution rather than an optimal one.
• Herbert A. Simon proposed bounded rationality as an alternative basis for
the mathematical modeling of decision-making, as used
in economics, political science and related disciplines.
• It complements "rationality as optimization", which views decision-making
as a fully rational process of finding an optimal choice given the
information available.
Reading Assignment
• Bounded rationality - Use Google Scholar
• The Hidden Traps in Decision Making (HBR
article) – Use the course portal
(http://DSign4.biz)
Cognitive Biases
Class Activity
Anchoring Trap
Ex. Population of a Country
The Framing Effect
Ex. Decision to perform a operation
Endowment Effect
Status quo bias
The Sunk Costs Trap
Ex. Movie Ticket
Avoiding Traps
• Brainstorming and Formal Models
• Decision Trees
Decision Trees
• Symbols used :
• The numbers on the edges coming out of circle
(chance node) denote the probabilities.
Choice Node
Chance Node (Nature)
Edges connecting the nodes

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Cognitive biases

  • 3. Kindly Note • Interaction in the class is important (your English is not being assessed !) • Reading assignments and the recommended use of web resources / tools is an absolute prerequisite for meaningful class participation.
  • 4. What are your expectations from the course ?
  • 5. The context of the course….
  • 6. Border less economy Business Agility Unceasing technological innovations Social Issues Survival of the fittest
  • 7. Managerial Decision Making • Management is a process by which organizational goals are achieved by using resources – Inputs: resources – Output: attainment of goals – Measure of success: outputs / inputs • Management  Decision Making • Decision making: selecting the best solution from two or more alternatives
  • 8. Why Decision Making is difficult ? • Information systems, advanced search engines, and globalization result in more and more alternatives to choose • Government regulations and the need for compliance, political instability and terrorism, competition, and changing consumer demands produce more uncertainty, making it more difficult to predict consequences and the future • Other factors are the need to make rapid decisions, the frequent and unpredictable changes that make trial-and- error learning difficult, and the potential costs of making mistakes
  • 11. Simon’s Decision Making Model Three Steps : Intelligence, Design and Choice. Intelligence Phase : The problem is identified, and information is collected concerning the problem. Design phase : Alternatives are developed. This phase may involve a great deal of research into the available options. Choice Phase : Alternatives that are developed in the design phase are evaluated and one of them is chosen.
  • 12. Bounded rationality • It is the idea that when individuals make decisions, their rationality is limited by the tractability of the decision problem, the cognitive limitations of their minds, and the time available to make the decision. • Decision-makers in this view act as satisficers, seeking a satisfactory solution rather than an optimal one. • Herbert A. Simon proposed bounded rationality as an alternative basis for the mathematical modeling of decision-making, as used in economics, political science and related disciplines. • It complements "rationality as optimization", which views decision-making as a fully rational process of finding an optimal choice given the information available.
  • 13. Reading Assignment • Bounded rationality - Use Google Scholar • The Hidden Traps in Decision Making (HBR article) – Use the course portal (http://DSign4.biz)
  • 17. The Framing Effect Ex. Decision to perform a operation
  • 19. The Sunk Costs Trap Ex. Movie Ticket
  • 20. Avoiding Traps • Brainstorming and Formal Models • Decision Trees
  • 21. Decision Trees • Symbols used : • The numbers on the edges coming out of circle (chance node) denote the probabilities. Choice Node Chance Node (Nature) Edges connecting the nodes