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Downloadable - About University

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Foreword<br />

It is a curious fact that although ability to take decisions is at the top<br />

of most senior executives’ list of attributes for success in management,<br />

those same people are usually unwilling to spend any time developing<br />

this quality. Perhaps decision making is considered as fundamental as<br />

breathing: essential for life, a natural and automatic process. Therefore,<br />

why study it?<br />

In this book, Paul Goodwin and George Wright show why: because<br />

research over the past 30 years has revealed numerous ways in which the<br />

process of making decisions goes wrong, usually without our knowing<br />

it. But the main thrust of this book is to show how decision analysis can<br />

be applied so that decisions are made correctly. The beauty of the book<br />

is in providing numerous decision-analysis techniques in a form that<br />

makes them usable by busy managers and administrators.<br />

Ever since decision theory was introduced in 1960 by Howard Raiffa<br />

and Robert Schlaifer of Harvard <strong>University</strong>’s Business School, a succession<br />

of textbooks has chronicled the development of this abstract<br />

mathematical discipline to a potentially useful technology known as<br />

decision analysis, through to numerous successful applications in commerce,<br />

industry, government, the military and medicine. But all these<br />

books have been either inaccessible to managers and administrators<br />

or restricted to only a narrow conception of decision analysis, such as<br />

decision trees.<br />

Unusually, this book does not even start with decision trees. My<br />

experience as a practicing decision analyst shows that problems with<br />

multiple objectives are a frequent source of difficulty in both public<br />

and private sectors: one course of action is better in some respects,<br />

but another is better on other criteria. Which to choose? The authors<br />

begin, in Chapter 3, with such a problem, and present a straightforward<br />

technology, called SMART, to handle it.<br />

My advice to the reader is to stop after Chapter 3 and apply SMART<br />

on a problem actually bothering you. Decision analysis works best on

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