Decision analysis for managers : a guide for making better personal and business decisions / David Charlesworth.

Format:

Book

Author/Creator:

Charlesworth, David.

Series:

2013 digital library.

Quantitative approaches to decision making collection. 2163-9582

Quantitative approaches to decision making collection, 2163-9582

Language:

English

Subjects (All):

Decision making.

Physical Description:

1 online resource (150 p.)

Edition:

1st ed.

Place of Publication:

[New York, N.Y.] (222 East 46th Street, New York, NY 10017) : Business Expert Press, 2013.

Language Note:

English

Summary:

Everybody has to make decisions--they are unavoidable. Yet we receive little or no education or training on how to make decisions. Business decisions can be difficult: which people to hire, which product lines or facilities to expand and which to sell or shut down, which bid or proposal to accept, which process to implement, how much R&D to invest in, which environmental projects should receive the highest priority, and so on. Even if you make the correct decision, you still have to get buy-in and commitment from your team, other management, and key stakeholders to successfully implement the decision. Personal decisions can be even more difficult: which college to attend, who to date, who to marry, which automobile to buy, which house to buy, whether to change jobs or not, where to go on vacation, when and where to retire, how to handle and treat a serious illness or health problem, and so on. Decision analysis (DA) is a time-tested set of tools (mental frameworks) which will help you and the teams you work with clarify and reach alignment on goals and objectives and understand trade-offs in reaching those goals, develop and examine alternatives, systematically analyze the effects of risk and uncertainty, and maximize the chances of achieving your goals and objectives.

Contents:

Acknowledgments

Preface

What is decision analysis? And why should I care?

How to start framing a DA problem: how can we work together?

The objectives hierarchy: what do we want?

Decisions and alternatives: what can we do?

Influence diagrams: what do we know?

Uncertainty assessment: the boundary between known and unknown

Building a deterministic model: time to run the numbers

Tornado diagrams: figuring out what is important

Cumulative probability: looking at the range of outcomes

Value of information: how much is it worth to know?

Multiattribute decision analysis: there's more to life than money

Other topics: more things to think about

Notes

References

Index.

Notes:

Part of: 2013 digital library.

Includes bibliographical references (p. [129]) and index.

Title from PDF t.p. (viewed on April 1, 2013).

ISBN:

1-299-35598-6

1-60649-489-9

OCLC:

831121009