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Strategic Decisions and Weak Signals
Anticipation for Decision-Making
Humbert Lesca (Author), Nicolas Lesca (Author)
9781848216099, Wiley
Hardback, published 25 April 2014
144 pages
24.1 x 16.3 x 1.8 cm, 0.395 kg
An increasing number of business executives, managers and political leaders are using the concept of "weak signals" nowadays. There are also an increasing number of people trying to find out exactly what this concept means, as well as when and how to use it. Such questions arise particularly when it comes down to making strategic decisions. To help with these questions, this book defines the concept of the "weak signal" and then demonstrates how it would be useful in relation to strategic decisions, and more precisely in relation to three moments of the strategic decision, i.e.:
Introduction ix Chapter 1 The Subject Within the Field of Management Science: Concepts and Issues 1 1.1 Strategic management and strategic decision-making 3 1.2 Strategic decision-making and anticipation 6 1.3 Anticipation, anticipative information and weak signals 16 1.4 Weak signals and anticipative strategic scanning 25 1.5 Organizational issues in anticipative strategic scanning, which could weaken strategic decision-making 31 1.6 Conclusion: concepts discussed, issues noted and resulting requirements 45 Chapter 2 State of the Art: Systems Suggested by Previous Authors 47 2.1 Entry point: collective interpretation of a set of homogeneous weak signals to make sense 48 2.2 Directly detecting a weak signal in a full text 58 2.3 Automatically selecting a "useful" information fragment (a "brief", for our purposes) 59 2.4 Improving weak-signal detection by improving the target 68 2.5 Conclusion 71 Chapter 3 Proposed Systems: Results of Information System Prototyping Research Conducted at the CNRS-CERAG Lab (France) 73 3.1 TARGETBUILDER, and aid to targeting scanning priorities 74 3.2 APROXIMA, automated extraction of fragments (briefs), which may hold weak signals 82 3.3 ALHENA, an aid to finding connections between weak signals 92 3.4 Conclusion 105 Conclusion 107 Glossary 111 Bibliography 121 Index 129
Subject Areas: Computer science [UY]
