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Cross-Impact Balances (CIB) for Scenario Analysis

About Cross-Impact Balances (CIB) for Scenario Analysis

Cross-Impact Balances (CIB) is a method frequently used for research, in companies and in administrations for the systematic construction of qualitative scenarios. This book introduces the fundamentals of the method and uses a clear step-by-step example to explain how scenarios can be constructed with CIB. It describes possible problems in applying the method and offers help for various use cases. It includes a detailed discussion of the design decisions that shape a CIB application and the methods that can be used to collect the necessary data. The application examples presented provide a first impression of the possibilities of the method. A discussion of the strengths and limitations of the method offers guidance on the use cases in which CIB can be profitably applied. The book is valuable for researchers and practitioners in the field of scenario analysis.

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  • Language:
  • English
  • ISBN:
  • 9783031272295
  • Binding:
  • Hardback
  • Pages:
  • 296
  • Published:
  • May 2, 2023
  • Edition:
  • 23001
  • Dimensions:
  • 160x22x241 mm.
  • Weight:
  • 612 g.
Delivery: 2-4 weeks
Expected delivery: December 19, 2024

Description of Cross-Impact Balances (CIB) for Scenario Analysis

Cross-Impact Balances (CIB) is a method frequently used for research, in companies and in administrations for the systematic construction of qualitative scenarios. This book introduces the fundamentals of the method and uses a clear step-by-step example to explain how scenarios can be constructed with CIB. It describes possible problems in applying the method and offers help for various use cases. It includes a detailed discussion of the design decisions that shape a CIB application and the methods that can be used to collect the necessary data. The application examples presented provide a first impression of the possibilities of the method. A discussion of the strengths and limitations of the method offers guidance on the use cases in which CIB can be profitably applied. The book is valuable for researchers and practitioners in the field of scenario analysis.

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