# Rational Decision Making for Managers. An Introduction

• ID: 2241827
• Book
• 352 Pages
• John Wiley and Sons Ltd
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Rational decision making tools are quantitative and analytical tools that managers use to make complex business decisions.
Rational Decision Making for Managers provides students with a basic understanding of these techniques and helps them to recognize when they are appropriate. Sarah Keast and Mike Towler also show the characteristics of the decisions that can be informed by the use of each technique, thereby guiding the reader in their choice.

Rational Decision Making for Managers features:

- separate chapters on robustness analysis and game theory
- a strong contextual discussion and clear structure
- a concise mathematical appendix

The book is essential reading for students studying business decision making, quantitative methods and business research methods. There is an accompanying website <a href="[external URL] including PowerPoint slides, teaching notes, and alternative routes through the text, additional exercises and further reading.
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Acknowledgements.

Preface.

PART 1 The Decision Context.

1 Introduction to Decision–making.

Introduction.

What is a Decision?

Uncertainty and Risk in Decision–taking.

Probability.

Rational Decision–taker.

Biases.

Descriptive, Normative, and Prescriptive Decision–making.

Models.

Who Should Participate in a Decision Process?.

Overview of Text.

2 Time Series Forecasting.

Introduction.

Creating a Time Series Forecast Overview.

Data Types.

Identifying Trends.

Decomposition.

Finding the Seasonal Component.

Average and Moving Average Forecasts.

Simple Exponential Smoothing.

Exponential Smoothing for Data with a Trend.

Exponential Smoothing for Non–Stationary Data with Seasonality.

Standard Deviation of the Forecast.

Choosing Appropriate Forecasting Models.

Transforming Data.

Alternative Time Series Forecasting Techniques.

Summary.

3 Explanatory and Qualitative Forecasting.

Introduction.

Quantitative Explanatory Forecasting.

Linear Regression.

Elicitation of an Expert s Probabilities.

Structured Group Processes.

Scenario Analysis.

Summary.

PART 2 One–off and Repeat Decisions.

4 Inventory Management.

Introduction.

The Fixed Order Quantity Inventory System.

The Newsvendor Model.

The Economic Order Quantity Model with Known Stock–out Costs.

Summary.

5 Payoff Matrices.

Introduction.

Payoff Matrices with Certainty.

Payoff Matrices with Multiple Future States and a Dominant Strategy.

Payoff Matrices with Strict Uncertainty.

Payoff Matrices with Uncertainty or Risk.

Choosing a Decision Criterion.

The Value of Perfect Information.

Sensitivity Analysis.

Summary.

6 Linear Programming.

Introduction.

Solving the Linear Programme.

Corner Method.

Sensitivity Analysis.

Changing Constraints.

Changing the Objective Function.

Using Excel Solver.

Integer Programming.

Formulating Decision–making Problems as Linear Programmes.

Summary.

7 Simultaneous Move Games.

Introduction.

Terminology.

Zero–sum Games.

Non–zero–sum Games.

Mixed Strategies for Players with Three or More Strategies.

Continuous Strategies.

N–Player Games.

Summary.

PART 3 Sequential Decisions.

8 Robustness Analysis.

Introduction.

Robustness Analysis.

Robustness Analysis as a Framework: Literature Examples.

9 Decision Tree Analysis.

Introduction.

Decision Tree Notation.

Constructing a Decision Tree.

Rolling Back a Decision Tree 1: Sequential Decision and Event Nodes.

Rolling Back a Decision Tree 2: Waiting for Uncertainty to Resolve.

Rolling Back a Decision Tree 3: Exploratory Actions and Posterior Probabilities.

Introduction to Sensitivity Analysis.

Univariate Sensitivity Analysis.

Bivariate Sensitivity Analysis.

N–Way (Multivariate) Sensitivity Analysis.

Summary of the Decision Tree Analysis Method.

Chapter Appendix. A Brief Introduction to Monte Carlo Simulation.

10 Sequential Games.

Introduction.

Extensive Form.

Rollback Revisited.

Asymmetry of Information.

Signals.

Signal Jamming and Screening.

Bargaining.

Summary.

Appendix: Mathematics Revision.

References.

Index.

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