Recognizing forecast intentions -- The quality of information : how good is the data? -- Bias traps : how and why interpretations are spun -- Zeitgeist and perception : how we can't escape our own mind -- The power of user utility : how consumers drive and block change -- Drivers, blockers, and trends -- The limits of quantitative forecasting -- A systems perspective in forecasting -- Alternative futures : how it's better to be vaguely right than exactly wrong -- Applying forecast filtering -- Questions to ask of any forecast
Summary
A critical roadmap that helps companies turn "future shock" into "future savvy."
Bibliography
Includes bibliographical references (pages 285-287) and index
