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DECISION MAKING COURSE
HERMAWANTO
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HERMAWANTO
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DECISION MAKING A moment, in an ongoing process of choosing the preferred objective, evaluating alternatives for meeting an objective, at which expectation about a particular course of action impel the decision maker to select that course of action most likely to result in attaining the objective (Harrison, 1999:5)
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DECISION MAKING Acts of choice between alternative courses of action designed to produce a specified result, and one made on a review of relevant information guided by explicit criteria (Harrison, 1999:5)
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DECISION MAKING A concious and human process, involving both individual and social phenomena, based upon factual and value premises, which includes a choice of one behavioral activity from one or more alternatives with the intention of moving towards some desired state of affairs (Shull et al, 2003:6)
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DECISION ELEMENTS DECISION (MAKING) BOARDS PROBLEM(S) DECISION OBJECTIVE(S) CHOICES (DECISION ALTERNATIVES) CRITERIA UNCONTROLLABLE FACTORS DECISION PROCESS CHOOSEN DECISION DECISION CONSEQUENCES
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BOUNDED RATIONALITY A concept used to describe the ways in which people’s capacity to process large amounts of data is limited. Sometimes called ‘limited rationality’ or subjective rationality
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Rational Theory of Choice
Within rational processes, choice depends on what alternatives are considered and on two guesses about the future: The first guess is a guess about future states of the world, conditional on the choice The second guess is a guess about how the decision maker will feel about that future world when it is experienced
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Rational Theory of Choice
Some versions of rational choice theory assume that all decision makers share a common set of (basic) preferences, that alternatives and their consequences are defined by the environment, and that decision makers have perfect knowledge of those alternatives and their consequences
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Rational Theory of Choice
Other versions recognize greater inter-actor subjectivity but nevertheless assume perfect knowledge for any particular decision—that all alternatives are known with certainty, and that all preferences relevant to the choice are known, precise, consistent, and stable.
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Prospect Theory Prospect theory assumes that risky choices are made in two phases: editing and evaluation In the editing phase a mental model of the decision situation is formed In the evaluation phase the value of the outcomes is assessed on the basis of a value function and a weighting function, and a choice is made.
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The Six Steps in Decision Theory
Clearly define the objective (and the problem). List the possible alternatives. Identify the possible outcomes. List the payoff or profit of each combination of alternatives and outcomes. Select one of the mathematical decision theory models. Apply the model and make your decision. To accompany Quantitative Analysis for Management, 9e by Render/Stair/Hanna 3-12
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Theories of Attention and Search
Ideas that emphasize the importance of attention are found throughout the social and behavioral sciences In psychology, the rationing of attention is central to notions of editing, framing, and problem solving “set” In political science, it is central to the notion of agendas
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Theories of Attention and Search
In sociology, it is central to the notion that many things in life are “taken as given” and serve as constraints rather than as decision alternatives In economics, theory of search are a central concern of the study of decisions The study of decision making is, in any way, the study of search and attention
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System Theory System theory has evolved from the philosophy underpinning scientific reseacch At the core of methodology are two sets of ideas: emergence and hierarchy, and communication and control.
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THE PROCESS OF DECISION MAKING
(COOK & SLACK, 1991: 4-10) OBSERVE RECOGNIZE PROBLEMS SET OBJECTIVES UNDERSTAND PROBLEM DETERMINE THE OPTIONS EVALUATE OPTIONS CHOICE IMPLEMENT MONITOR
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THE PROCESS OF DECISION MAKING EVALUATE OPTIONS USING THE CRITERIA
OBSERVE RECOGNIZE PROBLEMS SET OBJECTIVES UNDERSTAND PROBLEM DETERMINE CRITERIA DETERMINE THE OPTIONS EVALUATE OPTIONS USING THE CRITERIA CHOICE IMPLEMENT MONITOR
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EIGHT STEPS IN THE DECISION-MAKING PROCESS
(NOORDENHAVEN, 1995: 23-35) RECOGNITION FORMULATION GOAL SETTING GENERATING OPTIONS EVALUATING OPTIONS THE ACT OF CHOICE IMPLEMENTATION CONTROL
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EVALUATING OPTIONS USING THE CRITERIA
EIGHT STEPS IN THE DECISION-MAKING PROCESS RECOGNITION FORMULATION GOAL SETTING DETERMINING CRITERIA GENERATING OPTIONS EVALUATING OPTIONS USING THE CRITERIA THE ACT OF CHOICE IMPLEMENTATION CONTROL
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Six Steps in the Managerial Decision Making Process
Evaluation and Feedback Recognition of Decision Requirement Implementation of Chosen Alternative Diagnosis and Analysis of Causes Decision-Making Process Selection of Alternative Development of Alternatives
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Apa beda antara problem solving dengan decision making?
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DECISION MAKING OR PROBLEM SOLVING? (COOK & SLACK, 1991: 4)
SOME WRITERS ENVISAGE PROBLEM SOLVING AS A BROAD PROCESS THAT INCLUDES DECISION MAKING ………………… OTHER AUTHORS DEPICT THE OPPOSITE—PROBLEM SOLVING AS AN ELEMENT IN THE DECISION MAKING PROCESS ……………. A THIRD SET OF AUTHORS TREAT DECISION MAKING AND PROBLEM SOLVING AS SYNONYMOUS AND USE BOTH TERMS TO DESCRIBE A GENERAL PROCESS OF INFORMATION GATHERING, ANALYSIS, AND CHOICE BEHAVIOR.
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THE RELATIONSHIP BETWEEN PROBLEM SOLVING AND DECISION MAKING (ANDERSON, SWEENEY, & WLLIAMS, 2003: 5)
DEFINE THE PROBLEM IDENTIFY THE ALTERNATIVES DETERMINE THE CRITERIA EVALUATE THE ALTERNATIVES CHOOSE AN ALTERNATIVE IMPLEMENT THE DECISION EVALUATE THE RESULTS DECISION MAKING PROBLEM SOLVING DECISION
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THE RELATIONSHIP BETWEEN PROBLEM SOLVING AND DECISION MAKING
DEFINE THE PROBLEM IDENTIFY THE ALTERNATIVES DETERMINE THE CRITERIA EVALUATE THE ALTERNATIVES CHOOSE AN ALTERNATIVE IMPLEMENT THE DECISION EVALUATE THE RESULTS PROBLEM SOLVING DECISION MAKING DECISION
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DECISION MAKING PROCESS
DEFINE THE PROBLEM DETERMINE THE OBJECTIVE IDENTIFY THE ALTERNATIVES DETERMINE THE CRITERIA EVALUATE THE ALTERNATIVES - CHOOSE THE BEST DECISION(S) IMPLEMENT THE DECISION(S) EVALUATE THE RESULTS DECISION MAKING
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A farmer in Wood County has 900 acres of land
A farmer in Wood County has 900 acres of land. She is going to plant each acre with corn, soybeans, or wheat. Each acre planted with corn yields a $2,000 profit; each with soybeans yields a $2,500 profit; and each with wheat yields $3,000 profit. She has 100 workers and 150 tons of fertilizer. The table below shows the requirement per acre of each of the crops. Assuming a linear relationship, determine the optimal planning mix of corn, soybeans, and wheat to miximize the profits. Corn Soybeans Wheat Labor (workers) Fertilizer (tons)
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DECISION-MAKING PROCESS
(ROWE & BOULGARIDES, 1992: 12-14) STIMULUS (Opportunities, feedback, threats) DECISION MAKER (Organizational and personal pressures, values) PROBLEM DEFINITION (Frame of reference, analysis of motivational biases, risk, cost, assumption) CHOOSING ALTERNATIVES (Change the problem or approach, apply creative problem solving) IMPLEMENTATION (Gaining acceptance of the decision, Evaluation and control of performance)
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INPUT-PROCESS-OUTPUT MODEL
PROBLEM(S) OBJECTIVE DATA-INFORMAT- ION DECISION ENVI DEC. MAKER DEC. TOOLS/ METHODS …………………. PROCESS DECISION MAKING OUTPUT DEC. RESULTS IMPLEMENT- ATION
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Personal Decision Framework
Personal Decision Style: Directive Analytical Conceptual Behavioral Situation: Programmed/non-programmed Classical, administrative, political Decision steps Decision Choice: Best Solution to Problem I m p l e m e n t a t I o n
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A Typical Normative Model (Teale, et al, 2003)
Recognize problem Set objectives. Observe and monitor Understand problem Implement Determine options Choose Evaluate options
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THE VALUES INVENTORIES MODEL (ROWE & BOULGARIDES, 1992: 74-75)
THEORIST [Self-oriented (thinking), technical focus] - Abstract Influence Knowledge Perfection IDEALIST [Self-oriented (thinking), social concern] Aesthetics Autonomy Self-actualization Esteem PRAGMATIST [Others-oriented (action), technical focus] Economic Success Political Plenty HUMANIST [Others-oriented (action), social concern] Social Interpersonal Religious - Compassion
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DECISION STYLE MODEL (ROWE & BOULGARIDES, 1992: 29)
Left Right Hemisphere Hemisphere (Logical) (Relational) Complexity Analytic Conceptual Leaders COGNITIVE COMPLEXITY Structure Directive Behavioral Managers Task/Technical People/Social VALUES ORIENTATION
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DIRECTIVE EXPECTS RESULTS IS AGGRESSIVE ACTS RAPIDLY USES RULES
USES INTUITION N-POW, NEEDS POWER
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ANALYTIC ENJOYS PROBLEM SOLVING WANTS BEST ANSWER WANTS CONTROL
USES CONSIDERABLE DATA ENJOYS VARIETY IS INNOVATIVE USES CAREFUL ANALYSIS N-ACH, NEEDS CHALLENGES
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CONCEPTUAL IS ACHIEVEMENT-ORIENTED HAS A BROAD OUTLOOK IS CREATIVE
IS HUMANISTIC/ARTISTIC INITIATIVES NEW IDEAS IS FUTURE-ORIENTED N-ACH, IS INDEPENDENT AND WANTS RECOGNITION
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N-AFF, NEEDS AFFILIATION
BEHAVIORAL IS SUPPORTIVE USES PERSUASION IS EMPATHETIC COMMUNICATES EASILY PREFERS MEETINGS USES LIMITED DATA N-AFF, NEEDS AFFILIATION
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MANAGER-SUBORDINATE STYLE CONFLICTS (ROWE & BOULGARIDES, 1992: 33)
DIRECTIVE ANALYTIC CONCEPTUAL BEHAVIORAL DIRECTIVE NO MIN CON CON ANALYTIC MIN NO MIN CON CONCEPTUAL CON MIN MIN NO BEHAVIORAL CON CON NO MIN M A N G E R S T Y L
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MENUJU ORGANISASI KELAS DUNIA
RAPID INNOVATION FLEXIBILITY WASTE REDUCTION QUALITY CULTURE OF THE ENTERPRISE GOOD STRATEGIC LEADERSHIP BEHAVIOR MANAGEMENT COMPETENCE MANAGEMENT
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WHAT DO MANAGERS DO? (Mintzberg’s ten managerial roles)
THE INTERPERSONAL ROLES (FIGUREHEAD, LEADER, LIAISON) THE INFORMATIONAL ROLES (MONITOR, DISSEMINATOR, SPOKESPERSON) THE DECISION ROLES (ENTREPRENEUR, DISTURBANCE HANDLER, RESOURCE ALLOCATOR, NEGOTIATOR)
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(VERBAL) DESCRIPTIVE MODELS
MODELLING DECISIONS (VERBAL) DESCRIPTIVE MODELS Description of what the observer perceived—subject to exclusion and aggregation ANALOGUE MODELS Comparison of the observed situation with an analogous situation RELATIONSHIP MODELS Influence relationships are implied between elements or events in decision situation—these relationships may be quantified
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UNCONTROLLABLE INPUTS
FLOWCHART OF THE PROCESS OF TRANSFORMING MODEL INPUTS TO OUTPUTS (ANDERSON, SWEENEY, & WILLIAMS, 2003: 9) UNCONTROLLABLE INPUTS (ENVIRONMENTAL FACTORS) MATHEMATICAL MODEL CONTROLLABLE INPUTS (DECISION VARIABLES) OUTPUTS (PROJECTED RESULTS)
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McKinsey’s PROBLEM-SOLVING PROCESS
MANAGING LEADERSHIP BUSINESS NEED PROBLEM INTUITION SOLUTION IMPLEMENTATION DATA ANALYZING PRESENTING
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McKinsey’s PROBLEM-SOLVING PROCESS (Cont.)
BUSINESS NEED Competitive Organizational Financial Operational
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McKinsey’s PROBLEM-SOLVING PROCESS (Cont.)
ANALYZING Framing Designing Gathering Interpreting
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McKinsey’s PROBLEM-SOLVING PROCESS (Cont.)
MANAGING Team Client Self
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McKinsey’s PROBLEM-SOLVING PROCESS (Cont.)
PRESENTING Substance Structure
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McKinsey’s PROBLEM-SOLVING PROCESS (Cont.)
LEADERSHIP Vision Inspiration Delegation
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McKinsey’s PROBLEM-SOLVING PROCESS (Cont.)
IMPLEMENTATION Dedication Reaction Completion Iteration
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OPERATIONS CONSULTING TOOL KIT
13-49 OPERATIONS CONSULTING TOOL KIT
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Operations Consulting Tool Kit: Category 1
13-50 In this scheme we have five categories of activities, starting with Problem Definition, that consultants perform and the supporting tools used to aid the consultant in performing that category Problem Definition Issue trees Customer surveys Gap analysis Employee surveys Five forces model 12
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Operations Consulting Tool Kit: Category 2
13-51 Operations Consulting Tool Kit: Category 2 Data Gathering Plant tours/audits Work sampling Flow charts Organizational charts 12
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Operations Consulting Tool Kit: Category 4
13-52 Operations Consulting Tool Kit: Category 4 Cost Impact and Payoff Analysis Decision trees Balanced scorecard Stakeholder analysis 12
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Operations Consulting Tool Kit: Category 3
13-53 Operations Consulting Tool Kit: Category 3 Data Analysis and Solution Development Problem analysis (SPC tools) Bottleneck analysis Computer simulation Statistical tools 12
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Operations Consulting Tool Kit: Category 5
13-54 Operations Consulting Tool Kit: Category 5 Implementation Responsibility charts Project management techniques 12
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COMPARING INFORMATION AND KNOWLEDGE
INFORMATION KNOWLEDGE PROCESSED DATA ACTIONABLE INFORMATION SIMPLY GIVES US THE FACTS ALLOWS MAKING PREDICTIONS, CAUSAL ASSOCIATIONS, OR PREDICTIVE DECISIONS ETC ETC.
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MANAGERIAL DECISION MAKING
THE DECISION MAKER DECISION-AIDING THE DECISION TOOLS ENVIRONMENT THE DECISION-MAKING PROCESS THE DECISION(S)
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THE DECISION MAKER (Basic Four Force Model)
ENVIROMENTAL FORCES ORGANIZATIONAL PERSONAL MANAGER NEEDS FORCES TASK DEMANDS
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THE DECISION MAKING PROCESS (Harrison, 2004)
Revise objectives Comparing and Evaluating Alternatives Setting Managerial Objectives Searching for Alternatives Revise or update objectives Follow-up and Control Implementing Decisions The act of Choice Take corrective action as necessary
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DECISION MAKING APPROACHES
THE RATIONAL APPROACH THE ORGANIZATIONAL APPROACH THE POLITICAL APPROACH THE PROCESS APPROACH
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THE RATIONAL APPROACH THE RATIONAL APPROACH OF DECISION MAKING IS ESSENTIALLY NORMATIVE IN THAT IT IS PRESCRIPTIVE RATHER THAN DESCRIPTIVE PRIMARY DECISION-MAKING CRITERION IS MAXIMIZED OUTCOME
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ORGANIZATIONAL APPROACH
THE ORGANIZATIONAL APPROACH COMBINES THE BEHAVIORAL DISCIPLINES WITH QUANTITATIVE ANALYSIS PRIMARY DECISION-MAKING CRITERION IS SATISFICING OUTCOME
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POLITICAL APPROACH THE POLITICAL APPROACH’S FOUNDATION IS ALMOST TOTALLY BEHAVIORAL ACCEPTABLE OUTCOME
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THE PROCESS APPROACH THE PROCESS APPROACH IS VERY SIMILAR TO THE ORGANIZATIONAL ONE, BUT THE APPROACH IS ORIENTED TOWARD LONG TERM-RESULTS AND LOOKS TOWARD GROWTH AND THE FUTURE OBJECTIVES-ORIENTED OUTCOME AND THE OBJECTIVES ARE HIGHLY DYNAMIC
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RIGHT DECISION AND ERROR TYPES
HIGH QUALITY RIGHT DECISION PRODUCER’S RISK (a ) (TYPE I ERROR) CUSTOMER’S RISK (b ) RIGHT DECISION LOW QUALITY (TYPE II ERROR) ACCEPTING REJECTING
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John Thompson’s Backyard Storage Sheds
Define problem To manufacture or market backyard storage sheds List alternatives Construct a large new plant A small plant No plant at all Identify outcomes The market could be favorable or unfavorable for storage sheds List payoffs List the payoff for each state of nature/decision alternative combination Select a model Decision tables and/or trees can be used to solve the problem Apply model and make decision Solutions can be obtained and a sensitivity analysis used to make a decision To accompany Quantitative Analysis for Management, 9e by Render/Stair/Hanna 3-65
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Decision Table for Thompson Lumber
Alternative State of Nature Favorable Market ($) Unfavorable Market ($) Construct a large plant 900,000 -300,000 Construct a small plant 400,000 -80,000 Continuing existing act 200,000 50.000 To accompany Quantitative Analysis for Management, 9e by Render/Stair/Hanna 3-66
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Decision Table for Thompson Lumber
Alternative State of Nature Favorable Market ($) (0.50) Unfavorable Market ($) Construct a large plant 900,000 -400,000 Construct a small plant 450,000 -100,000 Continuing existing act 150,000 50.000 To accompany Quantitative Analysis for Management, 9e by Render/Stair/Hanna 3-67
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Types of Decision-Making Environments
Type 1: Decision making under certainty. Decision maker knows with certainty the consequences of every alternative or decision choice. Type 2: Decision making under risk. The decision maker does know the probabilities of the various outcomes. Decision making under uncertainty. The decision maker does not know the probabilities of the various outcomes. To accompany Quantitative Analysis for Management, 9e by Render/Stair/Hanna 3-68
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LINGKUNGAN KEPUTUSAN (FAKTOR-FAKTOR YANG UNCONTROLLABLE)
Lingkungan Keputusan dalam Kepastian < Satu alternatif keputusan --- satu hasil < Terdiri dari Lingkungan yang Pasti Lingkungan Keputusan dalam Ketidakpastian < Satu alternatif keputusan --- beberapa kemungkinan hasil < Terdiri dari: Lingkungan yang Beresiko Lingkungan yang Berkonflik Lingkungan yang Tidak Pasti
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