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In this book Lewis Branscomb and Philip Auerswald address early-stage, high-tech innovation in the context of business decision making and innovation policy. The topics addressed include the extent to which purely technical risk is separable from market risk; how industrial managers make decisions on funding early-stage, high-risk technology projects; and under what circumstances government can and should act to reduce the technical risks of innovative projects so that firms will invest in them. The book includes contributions by Mary Good, George Hartmann, James McGroddy, Mike Myers, Michael Roberts, and F. M. Scherer.

Most (if not all) of the issues addressed by various contributors to this volume are directly relevant to companies outside high tech that are now struggling to become more innovative while managing rapid change with finite resources.

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In this intriguing, clearly reasoned book, McKinsey consultant Courtney argues convincingly that managers can approach uncertainty systematically. Most managers, he says, either ignore potential problems or try to map out them out in painful detail. The better approach, Courtney contends, is to classify risk (e.g., a relatively clear future, a range of possibilities or true ambiguity) and hone a strategy based on a checklist he provides for each category. This appealing approach could become an integral part of the manager's toolkit.

You and Your Organization Are at Risk

Were the earth-shattering events of September 11, 2001, predictable, or were they a surprise? What about the collapse of Enron in bankruptcy and scandal? Max H. Bazerman and Michael D. Watkins argue that they were actually "predictable surprises"-disastrous examples of the failure to recognize potential tragedies and actively work to prevent them. Disturbingly, this dangerous phenomenon has its roots in universal human and organizational tendencies that leave no individual or company immune.

In this riveting book, Bazerman and Watkins, leading experts in managerial decision making, show that many disasters are preceded by clear warning signals that leaders either miss-or purposely ignore. They explain the cognitive, organizational, and political biases that make predictable surprises so common in business and society, and outline six danger signals that suggest a predictable surprise may be imminent. They also provide a systematic framework that leaders can use to recognize and prioritize brewing disasters and mobilize their organizations to prevent them.

Filled with vivid accounts of predictable surprises in business and society across public and private sectors, this book highlights a phenomenon that holds grave consequences-and challenges leaders to find the courage to act before it's too late.

Humans are gambling animals—and not just when we invest in the stock market. Every time we take an action—deciding which job applicant to hire, which product to launch— we are betting our time, reputation, effort, and money in the hope of achieving some future result.

Some people base their business bets on dumb luck, but the great ones. Eileen C. Shapiro and Howard H. Stevenson have compressed the complex skills of making your own luck—which they call predictive intelligence—into twelve easy and practical steps. These steps will get you the results you want with the least risk and the most upside. They will help you take smarter risks without the “analysis paralysis” that gets so many people and companies in trouble.

Most books about strategy are dull and loaded with jargon. Make Your Own Luck is full of jokes, brain teasers, anecdotes, and unexpected case studies from the Battle of Antietam to the diaper war between Huggies and Pampers. It teaches readers how to build their ability to bet smart and how to use this ability to win in business and in other areas of life.