Part 2: Planning Chapter 4 Foundations of Decision Making PowerPoint Presentation by Charlie Cook Copyright © 2004 Prentice Hall, Inc. All rights reserved. LEARNING OUTCOMES After reading this chapter, I will be able to: 1. Describe the steps in the decision-making process. 2. Identify the assumptions of the rational decision-making model. 3. Explain the limits to rationality. 4. Define certainty, risk, and uncertainty as they relate to decision making. 5. Describe the actions of the bounded-rational decision maker. Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–2 L E A R N I N G O U T C O M E S (cont’d) After reading this chapter, I will be able to: 6. Identify the two types of decision problems and the two types of decisions that are used to solve them. 7. Define heuristics and explain how they affect the decision-making process. 8. Identify four decision-making styles. 9. Describe the advantages and disadvantages of group decisions. 10. Explain three techniques for improving group decision making. Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–3 Decision-making • Decision-making process A set of eight steps that includes identifying a problem, selecting a solution, and evaluating the effectiveness of the solution • Problem A discrepancy between an existing and a desired state of affairs • Decision criteria Factors that are relevant in a decision Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–4 Examples of Planning-Function Decisions What are the organization’s long-term objectives? What strategies will best achieve those objectives? What should the organization’s short-term objectives be? What is the most efficient means of completing tasks? What might the competition be considering? What budgets are needed to complete department tasks? How difficult should individual goals be? EXHIBIT 4.1 Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–5 The Decision-Making Process EXHIBIT 4.2 Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–6 Criteria and Weight in Car-Buying Decision (Scale of 1 to 10) CRITERION WEIGHT Price 10 Interior comfort 8 Durability 5 Repair record 5 Performance 3 Handling 1 EXHIBIT 4.3 Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–7 Assessment of Car Alternatives ALTERNATIVES INITIAL INTERIOR PRICE COMFORT DURABILITY REPAIR RECORD PERFORMANCE HANDLING TOTAL Jeep Cherokee 2 10 8 7 5 5 37 Ford Mustang 9 6 5 6 8 6 40 Mercedes C230 8 5 6 6 4 6 35 Pontiac Grand Am 9 5 6 7 6 5 38 Mazda Tribute 5 6 9 10 7 7 44 Dodge Durango 10 5 6 4 3 3 31 Volvo S60 4 8 7 6 8 9 42 Isuzu Axiom 7 6 8 6 5 6 38 BMW 325 9 7 6 4 4 7 37 Audi A6 5 8 5 4 10 10 42 Toyota Camry 6 5 10 10 6 6 43 Volkswagen Passat 8 6 6 5 7 8 40 EXHIBIT 4.4 Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–8 Weighting of Vehicles (Assessment Criteria X Criteria Weight) EXHIBIT 4.5 Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–9 Decision-making (cont’d) • Decision implementation Putting a decision into action; includes conveying the decision to the persons who will be affected by it and getting their commitment to it Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–10 Making Decisions: The Rational Model • Certainty The implication that the outcome of every possible alternative is known • Uncertainty A condition under which there is not full knowledge of the problem and reasonable probabilities for alternative outcomes cannot be determined. • Risk The probability that a particular outcome will result from a given decision Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–11 Assumptions of Rationality EXHIBIT 4.6 Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–12 Making Decisions: The Rational Model • Rational Describes choices that are consistent and valuemaximizing within specified constraints • Bounded rationality Behavior that is rational within the parameters of a simplified model that captures the essential features of a problem • Satisfice Making a “good enough” decision Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–13 Three Elements of Creativity Creativity The ability to produce novel and useful ideas Source: T. M. Amabile, “Motivating Creativity in Organizations,” California Management Review (Fall 1997): 43. Copyright © 2004 Prentice Hall, Inc. All rights reserved. EXHIBIT 4.7 4–14 Common Decision-making Errors • Heuristics: Using judgmental shortcuts Availability heuristic the tendency for people to base their judgments on information that is readily available to them Representative heuristic The tendency for people to base judgments of probability on things with which they are familiar Escalation of commitment An increased commitment to a previous decision despite negative information Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–15 How Do Problems Differ? • Well-structured problems Straightforward, familiar, easily defined problems • Ill-structured problems New problems in which information is ambiguous or incomplete • Programmed decision A repetitive decision that can be handled by a routine approach • Nonprogrammed decisions Decisions that must be custom-made to solve unique and nonrecurring problems Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–16 Programmed Decision-Making Aids • Policy A general guide that establishes parameters for making decisions about recurring problems • Procedure A series of interrelated sequential steps that can be used to respond to a well-structured problem (policy implementation) • Rule An explicit statement that tells managers what they ought or ought not to do (limits on procedural actions) Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–17 Types of Problems, Types of Decisions, and Level in the Organization EXHIBIT 4.8 Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–18 Technology And Decision Making • Expert systems Software that acts like an expert in analyzing and solving illstructured problems Use specialized knowledge about a particular problem area rather than general knowledge Use qualitative reasoning rather than numerical calculations Perform at a level of competence higher than that of nonexpert humans. • Neural networks Software that is designed to imitate the structure of brain cells and connections among them Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–19 Decision Making: Styles • Directive style Characterizes the low tolerance for ambiguity and a rational way of thinking of individuals who are logical and efficient and typically make fast decisions that focus on the short term. • Analytic style Characterizes the high tolerance for ambiguity combined with a rational way of thinking of individuals who prefer to have complete information before making a decision. Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–20 Decision Making: Styles (cont’d) • Conceptual style Individuals who tend to be very broad in outlook, to look at many alternatives, and to focus on the long run and often look for creative solutions. • Behavioral style Individuals who think intuitively but have a low tolerance for uncertainty; they work well with others, are open to suggestions, and are concerned about the individuals who work for them. Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–21 Decision-Making Styles EXHIBIT 4.9 Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–22 Group Decision Making • Advantages Make more accurate decisions Provides more complete information Offers a greater diversity of experiences and perspectives Generates more alternatives Increases acceptance of a solution Increases the legitimacy of a decision. Copyright © 2004 Prentice Hall, Inc. All rights reserved. • Disadvantages Is more time-consuming and less efficient Minority domination can influence decision process Increased pressures to conform to the group’s mindset (groupthink) Ambiguous responsibility for the outcomes of decisions 4–23 Improving Group Decision Making • Brainstorming An idea-generating process that encourages alternatives while withholding criticism • Nominal group technique A decision-making technique in which group members are physically present but operate independently • Electronic meeting A type of nominal group technique in which participants are linked by computer Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–24 Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–25 Payoff Matrix for VISA VISA MARKETING STRATEGY S1 S2 S3 S4 AMERICAN EXPRESS’ RESPONSE (IN MILLIONS OF $) CA1 CA2 CA3 13 9 24 18 14 15 21 14 11 18 15 28 EXHIBIT QM–1 Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–26 Regret Matrix for VISA VISA MARKETING STRATEGY S1 S2 S3 S4 AMERICAN EXPRESS’ RESPONSE (IN MILLIONS OF $) CA1 CA2 CA3 11 15 0 6 7 6 0 7 17 10 13 0 EXHIBIT QM–2 Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–27 Decision Tree and Expected Values for Renting a Large or Small Retail Space EXHIBIT QM–3 Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–28 The Breakeven Analysis EXHIBIT QM–4 Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–29 Popular Financial Controls OBJECTIVE RATIO CALCULATION Liquidity test Current ratio _Current assets_ Current liabilities Acid test Current assets level inventories Current liabilities Debt-to-assets _Total debt_ Total assets Times-interest-earned Profits before interest and taxes Total interest charges Inventory turnover Cost of sales Inventory Total-assets-turnover Revenues Total assets Profit margin-on-revenues Net profit after taxes Total revenues Return-on-investment Net profit after taxes Total assets Leverage test Operations test Profitability EXHIBIT QM–5 Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–30 Production Data for Virus Software Number of Hours Required per Unit WINDOWS VERSION MAC VERSION MONTHLY PRODUCT CAPACITY (HOURS) 4 6 2,400 Manufacture 2.0 2.0 900 Profit per unit $18 $24 DEPARTMENT Design EXHIBIT QM–6 Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–31 Graphical Solution to Hernandez’s Linear Programming Problem EXHIBIT QM–7 Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–32 Queuing Theory • Queuing theory A technique that balances the cost of having a waiting line against the cost of service to maintain that line Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–33 Determining the Most Economic Order Quantity EXHIBIT QM–8 Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–34 Economic Order Quantity • Economic order quantity (EOQ) A technique for balancing purchase, ordering, carrying, and stock-out costs to derive the optimum quantity for a purchase order Copyright © 2004 Prentice Hall, Inc. All rights reserved. 4–35