Extent:
1 online resource (145 pages)
Series:
Type of publication: Book / Working Paper
Language: English
Notes:
Description based on publisher supplied metadata and other sources.
Cover; Title Page; Copyright; Contents; Introduction; CHAPTER 1. THE SUBJECT WITHIN THE FIELD OF MANAGEMENTSCIENCE: CONCEPTS AND ISSUES; 1.1. Strategic management and strategic decision making; 1.2. Strategic decision-making and anticipatio; 1.2.1. Knowing and anticipating; 1.2.2. Anticipating and deciding; 1.2.3. Anticipating for effective decision-making; 1.2.4. Characteristics of a strategic decision; 1.3. Anticipation, anticipative information and weak signals; 1.3.1. Weak signals; 1.3.2. Characteristics of a weak signal; 1.3.3. Weak signals for anticipation
1.3.4. Where might we find a weak signal?1.3.5. Usefulness of weak signals in strategic decision making; 1.4. Weak signals and anticipative strategic scanning; 1.4.1. Anticipative strategic scanning and weak-signal detection; 1.4.2. The use of weak signals depends on managers' wishes; 1.5. Organizational issues in anticipative strategic scanning, which could weaken strategic decision making; 1.5.1. Definition of "targeting" of anticipative strategic scanning; 1.5.2. Insufficient information: too restrictive a target, and the consequences for strategic decision-making
1.5.3. Too much information: consequences of information overload for strategic decision-making1.5.4. Detecting a weak signal in an informationoverload situation (in a full text); 1.6. Conclusion: concepts discussed, issues noted and resulting requirements; CHAPTER 2. STATE OF THE ART: SYSTEMS SUGGESTED BYPREVIOUS AUTHORS; 2.1. Entry point: collective interpretation of a set of homogeneous weak signals to make sense; 2.1.1. Interpreting weak signals: sense-making; 2.1.2. How about sense-making using images, remotely?; 2.1.3. Puzzle method: example
2.2. Directly detecting a weak signal in a full text2.3. Automatically selecting a "useful" information fragment (a "brief", for our purposes); 2.3.1. Data overload versus "useful" information fragments; 2.3.2. Managers want automation of information detection; 2.3.3. Is it possible to automate the detection of potentially useful information?; 2.3.4. Prototype of a device to filter data obtained from Web 2.0: ABIMA; 2.4. Improving weak-signal detection by improving the target; 2.4.1. What should we scan for in the environment?
2.4.2. Learning about the boundary of the environment being scanned2.4.3. An automated technique to help change an organization's peripheral vision; 2.5. Conclusion; CHAPTER 3. PROPOSED SYSTEMS: RESULTS OF INFORMATIONSYSTEM PROTOTYPING RESEARCH CONDUCTED AT THECNRS-CERAG LAB (FRANCE); 3.1. TARGETBUILDER, an aid to targeting scanning priorities; 3.1.1. Usefulness; 3.1.2. Principle behind TARGETBUILDER system; 3.1.3. Recap on TARGETBUILDER; 3.2. APROXIMA, automated extraction of fragments (briefs), which may hold weak signals; 3.2.1. Usefulness; 3.2.2. Principle behind APROXIMA system
3.2.3. Case study: application to the topic of "solar/photovoltaic" power
ISBN: 978-1-118-95913-8 ; 978-1-84821-609-9
Source:
ECONIS - Online Catalogue of the ZBW
Persistent link: https://www.econbiz.de/10012600753