SlideShare a Scribd company logo
• Conception of decision making as a series
of analytical steps
• The model focuses on two aspects:
– identifying the problem
– implementing the solution
Define
Objectives
Predecision
Generate
Alternatives
Evaluate
Alternatives
Make a
choice
Implement
choice
Evaluate
choice
Programmed vs Non-
Programmed Decisions
• Programmed decisions are highly routine
decisions usually made by lower level
workers alone. (Time to re-order toner
for the copy machine)
• Non-programmed decisions -- Decisions
about a novel problem. There is no set
course of action. (Identifying the cause of
some rare disease)
Certain vs Uncertain Decisions
• The degree of risk involved in making the
decision. The means the continuum
ranges from
– complete uncertainty (no risk) to
– complete uncertainty (high risk)
• The point is to minimize risk by
obtaining information
Rational-Economic Model
• A model in which decision makers
consider all possible solutions before
selecting the optimal one. Presumes
• We are entirely rational and logical
• We have complete and perfect
information
• We can process all this information
Bounded Rationality Model
• A model that realizes that humans have a
limited view of the problem, do not have
perfect information or all the alternatives
• We accept a solution that is good enough
• This is called satisficing or settling for the
decision that meets the criteria but may
not meet them optimally
Image Theory
• Following your gut instinct. This model
says we make decisions intuitively, by
going through a two-step process. Step
one is the compatibility test. Does the
alternative feel right?
• Step 2: Profitability test - Which of the
alternatives that feel right is best?
Framing Effects
• (from Bazerman, 1983): A large car manufacturer has
recently bee hit with a number of economic difficulties
and it appears as if three plants need to be closed and
6,000 employees laid off. The vice-president of
production has been exploring alternative plans to
avoid this crisis. She has developed two plan
• Plan A: This plan saves one of the three plants and
2,000 jobs
• Plan B: This plan has a 1/3 probability of saving al l
three plants and all 6,000 jobs but a 2/3 probability of
saving no plants and no jobs.
Framing Effects
• A large car manufacturer has recently bee hit with a
number of economic difficulties and it appears as if
three plants need to be closed and 6,000 employees laid
off. The vice-president of production has been
exploring alternative plans to avoid this crisis. She has
developed two plan
• Plan C: This plan will result in the loss of two of the
three plants and 4,000 jobs.
• Plan B: This plan has a 2/3 probability of resulting in
the loss of all three plants and all 6,000 jobs but a 1/3
probability of losing no plants and no jobs
More Framing
• A. A sure gain of $240.
• B. A 25% chance to gain $1,000 and a
75% chance to gain nothing
• C. A sure loss of $750
• D. A 75% chance to lose $1,000 and a
25% chance to lose nothing
Availability Heuristic
• The tendency for people to base decisions
on information that is easily accessed
• Which is riskier?
• A. Driving a car on a 400 mile trip
• B. Flying on a 400 mile trip on a
commercial flight
Availability Heuristic
• You are traveling in the Middle East.
Which is the greater worry?
• A. Being hurt in an auto accident
• B. Being hurt in a terrorist attack
Representativeness Heuristic
• The tendency to perceive other in stereotypical
ways if they appear to be typical of the category
to which they belong
• Mark is finishing his MBS at a prestigious
university. He is very interested in the arts and
at one time considered a career as a musician.
Mark is most likely to take a job
• A. In the management of the arts
• B. With a management consulting firm
Other Cognitive Biases
• Anchoring -- People develop estimates based on
initial information. When that information
turns out to be wrong, people make
adjustments to their decisions but not enough
to overcome the impact of the initial piece of
information.
• Confirmation bias -- We tend to focus only on
evidence that supports our decisions.
• Overconfidence -- Because of confirmation
bias, we are more confident than we are
correct.
Backwards and Forwards

More Related Content

Similar to adsad(1).ppt

BehavioralEconomicsfinal.pptx
BehavioralEconomicsfinal.pptxBehavioralEconomicsfinal.pptx
BehavioralEconomicsfinal.pptx
ssuserff2861
 
BehavioralEconomicsfinal.pptx
BehavioralEconomicsfinal.pptxBehavioralEconomicsfinal.pptx
BehavioralEconomicsfinal.pptx
YuriValverde1
 
SMI SHAS4542 n4_Decision Making _ Organizing 0922.pdf
SMI SHAS4542 n4_Decision Making  _ Organizing 0922.pdfSMI SHAS4542 n4_Decision Making  _ Organizing 0922.pdf
SMI SHAS4542 n4_Decision Making _ Organizing 0922.pdf
ssuser6d321e
 
Problem Solving And Decision Making PowerPoint Presentation Slides
Problem Solving And Decision Making PowerPoint Presentation Slides Problem Solving And Decision Making PowerPoint Presentation Slides
Problem Solving And Decision Making PowerPoint Presentation Slides
SlideTeam
 
Demand forecasting
Demand forecastingDemand forecasting
Demand forecasting
Manvi Agarwal
 
Decision Tree Analysis
Decision Tree AnalysisDecision Tree Analysis
Decision Tree Analysis
Anand Arora
 
Risks of Risk-Based Testing
Risks of Risk-Based TestingRisks of Risk-Based Testing
Risks of Risk-Based Testing
rrice2000
 
Decision making
Decision makingDecision making
Decision making
Sohail Ranizai
 
chapter 3 PL..pptx
chapter  3 PL..pptxchapter  3 PL..pptx
chapter 3 PL..pptx
3PHYSICS2020
 
Introduction to Management Science and Linear Programming
 Introduction to Management Science and Linear Programming  Introduction to Management Science and Linear Programming
Introduction to Management Science and Linear Programming
Kishore Morya PhD.
 
Decision making.pptx
Decision making.pptxDecision making.pptx
Decision making.pptx
SalimaHabeeb
 
Safety and risk
Safety and riskSafety and risk
Safety and risk
SKS
 
Risk based thinking ppt mal
Risk based thinking ppt malRisk based thinking ppt mal
Risk based thinking ppt mal
michaelnano79
 
Hillier_10e_ch16.pptx
Hillier_10e_ch16.pptxHillier_10e_ch16.pptx
Hillier_10e_ch16.pptx
AdrianSerrano31
 
4 5-basic economic concepts to pharmacy
4 5-basic economic concepts to pharmacy4 5-basic economic concepts to pharmacy
4 5-basic economic concepts to pharmacy
University of Zambia, School of Pharmacy, Lusaka, Zambia
 
LPP FORMULATION 21 -22.pptx
LPP FORMULATION  21 -22.pptxLPP FORMULATION  21 -22.pptx
LPP FORMULATION 21 -22.pptx
kiran513883
 
DECISION MAKING POWERPOINT
DECISION MAKING POWERPOINT DECISION MAKING POWERPOINT
DECISION MAKING POWERPOINT
Andrew Schwartz
 
Problem solving & Decision making
Problem solving & Decision makingProblem solving & Decision making
Problem solving & Decision making
Abdallah Yakoub
 

Similar to adsad(1).ppt (20)

Lesson 5--mb-vs.-mc[1]
Lesson 5--mb-vs.-mc[1]Lesson 5--mb-vs.-mc[1]
Lesson 5--mb-vs.-mc[1]
 
BehavioralEconomicsfinal.pptx
BehavioralEconomicsfinal.pptxBehavioralEconomicsfinal.pptx
BehavioralEconomicsfinal.pptx
 
BehavioralEconomicsfinal.pptx
BehavioralEconomicsfinal.pptxBehavioralEconomicsfinal.pptx
BehavioralEconomicsfinal.pptx
 
SMI SHAS4542 n4_Decision Making _ Organizing 0922.pdf
SMI SHAS4542 n4_Decision Making  _ Organizing 0922.pdfSMI SHAS4542 n4_Decision Making  _ Organizing 0922.pdf
SMI SHAS4542 n4_Decision Making _ Organizing 0922.pdf
 
Problem Solving And Decision Making PowerPoint Presentation Slides
Problem Solving And Decision Making PowerPoint Presentation Slides Problem Solving And Decision Making PowerPoint Presentation Slides
Problem Solving And Decision Making PowerPoint Presentation Slides
 
Demand forecasting
Demand forecastingDemand forecasting
Demand forecasting
 
Decision Tree Analysis
Decision Tree AnalysisDecision Tree Analysis
Decision Tree Analysis
 
Risks of Risk-Based Testing
Risks of Risk-Based TestingRisks of Risk-Based Testing
Risks of Risk-Based Testing
 
Decision making
Decision makingDecision making
Decision making
 
chapter 3 PL..pptx
chapter  3 PL..pptxchapter  3 PL..pptx
chapter 3 PL..pptx
 
Introduction to Management Science and Linear Programming
 Introduction to Management Science and Linear Programming  Introduction to Management Science and Linear Programming
Introduction to Management Science and Linear Programming
 
Framing
FramingFraming
Framing
 
Decision making.pptx
Decision making.pptxDecision making.pptx
Decision making.pptx
 
Safety and risk
Safety and riskSafety and risk
Safety and risk
 
Risk based thinking ppt mal
Risk based thinking ppt malRisk based thinking ppt mal
Risk based thinking ppt mal
 
Hillier_10e_ch16.pptx
Hillier_10e_ch16.pptxHillier_10e_ch16.pptx
Hillier_10e_ch16.pptx
 
4 5-basic economic concepts to pharmacy
4 5-basic economic concepts to pharmacy4 5-basic economic concepts to pharmacy
4 5-basic economic concepts to pharmacy
 
LPP FORMULATION 21 -22.pptx
LPP FORMULATION  21 -22.pptxLPP FORMULATION  21 -22.pptx
LPP FORMULATION 21 -22.pptx
 
DECISION MAKING POWERPOINT
DECISION MAKING POWERPOINT DECISION MAKING POWERPOINT
DECISION MAKING POWERPOINT
 
Problem solving & Decision making
Problem solving & Decision makingProblem solving & Decision making
Problem solving & Decision making
 

Recently uploaded

Palestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptxPalestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptx
RaedMohamed3
 
Overview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with MechanismOverview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with Mechanism
DeeptiGupta154
 
Additional Benefits for Employee Website.pdf
Additional Benefits for Employee Website.pdfAdditional Benefits for Employee Website.pdf
Additional Benefits for Employee Website.pdf
joachimlavalley1
 
The geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideasThe geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideas
GeoBlogs
 
Francesca Gottschalk - How can education support child empowerment.pptx
Francesca Gottschalk - How can education support child empowerment.pptxFrancesca Gottschalk - How can education support child empowerment.pptx
Francesca Gottschalk - How can education support child empowerment.pptx
EduSkills OECD
 
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCECLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
BhavyaRajput3
 
Language Across the Curriculm LAC B.Ed.
Language Across the  Curriculm LAC B.Ed.Language Across the  Curriculm LAC B.Ed.
Language Across the Curriculm LAC B.Ed.
Atul Kumar Singh
 
Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345
beazzy04
 
Polish students' mobility in the Czech Republic
Polish students' mobility in the Czech RepublicPolish students' mobility in the Czech Republic
Polish students' mobility in the Czech Republic
Anna Sz.
 
Digital Tools and AI for Teaching Learning and Research
Digital Tools and AI for Teaching Learning and ResearchDigital Tools and AI for Teaching Learning and Research
Digital Tools and AI for Teaching Learning and Research
Vikramjit Singh
 
"Protectable subject matters, Protection in biotechnology, Protection of othe...
"Protectable subject matters, Protection in biotechnology, Protection of othe..."Protectable subject matters, Protection in biotechnology, Protection of othe...
"Protectable subject matters, Protection in biotechnology, Protection of othe...
SACHIN R KONDAGURI
 
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup   New Member Orientation and Q&A (May 2024).pdfWelcome to TechSoup   New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
TechSoup
 
Lapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdfLapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdf
Jean Carlos Nunes Paixão
 
How libraries can support authors with open access requirements for UKRI fund...
How libraries can support authors with open access requirements for UKRI fund...How libraries can support authors with open access requirements for UKRI fund...
How libraries can support authors with open access requirements for UKRI fund...
Jisc
 
2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...
Sandy Millin
 
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
siemaillard
 
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
EugeneSaldivar
 
Embracing GenAI - A Strategic Imperative
Embracing GenAI - A Strategic ImperativeEmbracing GenAI - A Strategic Imperative
Embracing GenAI - A Strategic Imperative
Peter Windle
 
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXXPhrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
MIRIAMSALINAS13
 
Acetabularia Information For Class 9 .docx
Acetabularia Information For Class 9  .docxAcetabularia Information For Class 9  .docx
Acetabularia Information For Class 9 .docx
vaibhavrinwa19
 

Recently uploaded (20)

Palestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptxPalestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptx
 
Overview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with MechanismOverview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with Mechanism
 
Additional Benefits for Employee Website.pdf
Additional Benefits for Employee Website.pdfAdditional Benefits for Employee Website.pdf
Additional Benefits for Employee Website.pdf
 
The geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideasThe geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideas
 
Francesca Gottschalk - How can education support child empowerment.pptx
Francesca Gottschalk - How can education support child empowerment.pptxFrancesca Gottschalk - How can education support child empowerment.pptx
Francesca Gottschalk - How can education support child empowerment.pptx
 
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCECLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
 
Language Across the Curriculm LAC B.Ed.
Language Across the  Curriculm LAC B.Ed.Language Across the  Curriculm LAC B.Ed.
Language Across the Curriculm LAC B.Ed.
 
Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345
 
Polish students' mobility in the Czech Republic
Polish students' mobility in the Czech RepublicPolish students' mobility in the Czech Republic
Polish students' mobility in the Czech Republic
 
Digital Tools and AI for Teaching Learning and Research
Digital Tools and AI for Teaching Learning and ResearchDigital Tools and AI for Teaching Learning and Research
Digital Tools and AI for Teaching Learning and Research
 
"Protectable subject matters, Protection in biotechnology, Protection of othe...
"Protectable subject matters, Protection in biotechnology, Protection of othe..."Protectable subject matters, Protection in biotechnology, Protection of othe...
"Protectable subject matters, Protection in biotechnology, Protection of othe...
 
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup   New Member Orientation and Q&A (May 2024).pdfWelcome to TechSoup   New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
 
Lapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdfLapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdf
 
How libraries can support authors with open access requirements for UKRI fund...
How libraries can support authors with open access requirements for UKRI fund...How libraries can support authors with open access requirements for UKRI fund...
How libraries can support authors with open access requirements for UKRI fund...
 
2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...
 
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
 
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
 
Embracing GenAI - A Strategic Imperative
Embracing GenAI - A Strategic ImperativeEmbracing GenAI - A Strategic Imperative
Embracing GenAI - A Strategic Imperative
 
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXXPhrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
 
Acetabularia Information For Class 9 .docx
Acetabularia Information For Class 9  .docxAcetabularia Information For Class 9  .docx
Acetabularia Information For Class 9 .docx
 

adsad(1).ppt

  • 1. • Conception of decision making as a series of analytical steps • The model focuses on two aspects: – identifying the problem – implementing the solution
  • 3. Programmed vs Non- Programmed Decisions • Programmed decisions are highly routine decisions usually made by lower level workers alone. (Time to re-order toner for the copy machine) • Non-programmed decisions -- Decisions about a novel problem. There is no set course of action. (Identifying the cause of some rare disease)
  • 4. Certain vs Uncertain Decisions • The degree of risk involved in making the decision. The means the continuum ranges from – complete uncertainty (no risk) to – complete uncertainty (high risk) • The point is to minimize risk by obtaining information
  • 5. Rational-Economic Model • A model in which decision makers consider all possible solutions before selecting the optimal one. Presumes • We are entirely rational and logical • We have complete and perfect information • We can process all this information
  • 6. Bounded Rationality Model • A model that realizes that humans have a limited view of the problem, do not have perfect information or all the alternatives • We accept a solution that is good enough • This is called satisficing or settling for the decision that meets the criteria but may not meet them optimally
  • 7. Image Theory • Following your gut instinct. This model says we make decisions intuitively, by going through a two-step process. Step one is the compatibility test. Does the alternative feel right? • Step 2: Profitability test - Which of the alternatives that feel right is best?
  • 8. Framing Effects • (from Bazerman, 1983): A large car manufacturer has recently bee hit with a number of economic difficulties and it appears as if three plants need to be closed and 6,000 employees laid off. The vice-president of production has been exploring alternative plans to avoid this crisis. She has developed two plan • Plan A: This plan saves one of the three plants and 2,000 jobs • Plan B: This plan has a 1/3 probability of saving al l three plants and all 6,000 jobs but a 2/3 probability of saving no plants and no jobs.
  • 9. Framing Effects • A large car manufacturer has recently bee hit with a number of economic difficulties and it appears as if three plants need to be closed and 6,000 employees laid off. The vice-president of production has been exploring alternative plans to avoid this crisis. She has developed two plan • Plan C: This plan will result in the loss of two of the three plants and 4,000 jobs. • Plan B: This plan has a 2/3 probability of resulting in the loss of all three plants and all 6,000 jobs but a 1/3 probability of losing no plants and no jobs
  • 10. More Framing • A. A sure gain of $240. • B. A 25% chance to gain $1,000 and a 75% chance to gain nothing • C. A sure loss of $750 • D. A 75% chance to lose $1,000 and a 25% chance to lose nothing
  • 11. Availability Heuristic • The tendency for people to base decisions on information that is easily accessed • Which is riskier? • A. Driving a car on a 400 mile trip • B. Flying on a 400 mile trip on a commercial flight
  • 12. Availability Heuristic • You are traveling in the Middle East. Which is the greater worry? • A. Being hurt in an auto accident • B. Being hurt in a terrorist attack
  • 13. Representativeness Heuristic • The tendency to perceive other in stereotypical ways if they appear to be typical of the category to which they belong • Mark is finishing his MBS at a prestigious university. He is very interested in the arts and at one time considered a career as a musician. Mark is most likely to take a job • A. In the management of the arts • B. With a management consulting firm
  • 14. Other Cognitive Biases • Anchoring -- People develop estimates based on initial information. When that information turns out to be wrong, people make adjustments to their decisions but not enough to overcome the impact of the initial piece of information. • Confirmation bias -- We tend to focus only on evidence that supports our decisions. • Overconfidence -- Because of confirmation bias, we are more confident than we are correct.