Competitive Intelligence and Decision Problems

Klappentext The development of a research, teaching, or application of competitive (economic) intelligence requires a strategic and transverse vision in regards to related issues. It is essential to integrate the role of culture when interpreting results, either from the training of a specialist or in respect to a country or region. The authors of this book, members of an expert group supported by the CNRS in France, bring all of their talents together to create a comprehensive book that does just this and more. Zusammenfassung The development of a research, teaching, or application of competitive (economic) intelligence requires a strategic and transverse vision in regards to related issues. It is essential to integrate the role of culture when interpreting results, either from the training of a specialist or in respect to a country or region. The authors of this book, members of an expert group supported by the CNRS in France, bring all of their talents together to create a comprehensive book that does just this and more. Inhaltsverzeichnis 25642480

List of contents

PART 1. MODELS AND TOOLS 1

Chapter 1. Model Use: From a Decision-Making Problem to a Setof Research Problems 3
Philippe KISLIN

1.1. Introduction: why model? 3

1.2. General presentation of the Watcher Information SearchProblem model 5

1.3. Dimensions and aspects of the model 6

1.4. Description of model elements 9

1.5. Conclusion: toward flexibility in the model 23

1.6. Bibliography 24

Chapter 2. Analytical Tools for Competitive Intelligence:from Data Collection to Data Processing 25
Ilhème GHALAMALLAH, Eloïse LOUBIER and BernardDOUSSET

2.1. Introduction 25

2.2. Overview of the multidimensional analysis model 28

2.3. Application of the multidimensional analysis model 31

2.4. Conclusion 41

2.5. Bibliography 42

Chapter 3. The Synergy of Knowledge Management andCompetitive Intelligence 45
Bolanle OLADEJO and Adenike O. OSOFISAN

3.1. Introduction 45

3.2. Theoretical context 46

3.3. Knowledge acquisition strategy 59

3.4. Formalization of knowledge 59

3.5. Conclusion 63

3.6. Appendices 64

3.7. Bibliography 65

Chapter 4. Collaborative Information Seeking in theCompetitive Intelligence Process 69
Victor ODUMUYIWA

4.1. Introduction 69

4.2. The CI process 70

4.3. From information retrieval to CIR 71

4.4. Facilitation and management of CIS 78

4.5. Collective information seeking scenario 86

4.6. Conclusion 88

4.7. Bibliography 89

Chapter 5. Study of Risk Factors in Competitive IntelligenceDecision Making: A Cognitive Approach 93
Olufade F.W. ONIFADE, Odile THIERY, Adenike O. OSOFISAN andGérald DUFFING

5.1. Decision making and decision problems 93

5.2. Risks and RFs in CI 100

5.3. Cognitive capacity, a risk, and decision factor 105

5.4. Conclusion 109

5.5. Bibliography 110

Chapter 6. Multimedia Information Seeking Through CompetitiveIntelligence Process 113
Hanène MAGHREBI

6.1. Introduction 113

6.2. The two dimensions of CI: decisions and information 114

6.3. Multimedia information: between complexity andaccessibility 116

6.4. The information seeking process: an overview ofparadigmatic evolution 116

6.5. Actors involved in information seeking processes andproblem solving 117

6.6. Applying a user-centered approach to facilitate multimediainformation seeking 120

6.7. Conclusion 132

6.8. Bibliography 133

Chapter 7. Strategies for Analyzing Chinese InformationSources from a Competitive Intelligence Perspective 135
Nadège GUENEC

7.1. Introduction135

7.2. Chinese scientific information as an essential source ofinformation 137

7.3. A global vision of the sector through patent analysis141

7.4. Chinese sources of scientific information 145

7.5. Automatic processing of information by bibliometricalanalysis of metadata 149

7.6. Conclusion 155

7.7. Bibliography 157

Chapter 8. Generic Tagging Strategy Using a Semio-ContextualApproach to the Corpus for the Creation of Controlled Databases159
Lise VERLAET

8.1. Introduction 159

8.2. The adaptive journal concept 160

8.3. A generic tagging strategy: models using the ASCC 165

8.4. Conclusion 179

8.5. Bibliography 181

Chapter 9. Design and Development of a Model for Generatingand Exploiting Annotation in the Context of Economic Intelligence183
Olusoji B. OKUNOYE and Charles O. UWADIA

9.1. Introduction 183

9.2. Annotation as a concept 184

9.3. Annotation in EI 185

9.4. Proposition 189

9.5. Annotation model and architectural components 192

9.6. Bibliography 196

Chapter 10. Contribution of Cognitive Sciences to DocumentIndexing in Scientific, Technical, and Economic Watch forCompetitive Intelligence 199
Elisabeth PAOLI-SCARBONCHI and Nadège GUENEC

10.1. Introduction 199

10.2. Functionality of the PIETRA platform: general presentation201

10.3. Global usage strategy 202

10.4. Operation of the platform 202

10.5. Elaborated databases 219

10.6. Conclusion 219

10.7. Bibliography 220

About the author

Amos David?is a professor at?Nancy 2 University in?Nancy, France.

Summary

The development of a research, teaching, or application of competitive (economic) intelligence requires a strategic and transverse vision in regards to related issues. It is essential to integrate the role of culture when interpreting results, either from the training of a specialist or in respect to a country or region.

Product details

• Authors: D Amos, D. Amos, Amos David
• Assisted by: Amos David (Editor)
• Publisher: Wiley, John and Sons Ltd
• Languages: English
• Product format: Hardback
• Released: 06.09.2011
• EAN: 9781848212374
• ISBN: 978-1-84821-237-4
• Series: ISTE; ISTE
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > General, dictionaries; Social sciences, law, business > Business > Management