Scenario planning for climate strategies development by integrating group Delphi, AHP and dynamic fuzzy cognitive maps

Emerald - 2010
RobertoBiloslavo1, SlavkoDolinšek1
1Based at the Faculty of Management, University of Primorska, Koper, Slovenia

Tóm tắt

PurposeThe purpose of the paper is to present the common use of the Delphi method, the analytical hierarchy process (AHP) and dynamic fuzzy cognitive maps for the development of a future scenario in correlation with climate warming.Design/methodology/approachA combination of the Delphi method, the analytical hierarchy process (AHP) and dynamic fuzzy cognitive maps was employed to construct a future scenario as a learning device.FindingsBased on the data, the future is not going to be so bad but also not very attractive even if it is assumed that human consciousness about global warming issues will remain high. After a few years or so it will be possible to stop negative climate processes but not possible to fix the problem in the sense that the situation we have now can be substantially improved.Practical implicationsThis paper is of interest for foresight practitioners and policy makers who want to employ a hybrid approach to scenario development.Originality/valueThe paper is the first to try to use a combination of different methods for scenario development related to climate change.

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Tài liệu tham khảo

Armstrong, J.S. (Ed.) (2001), Principles of Forecasting: A Handbook for Researchers and Practitioners, Kluwer Academic, Boston, MA.

Eden, C. and Ackermann, F. (1998), Making Strategy – The Journey of Strategic Management, Sage Publications, London.

Ghoshal, S., Bartlett, C.A. and Moran, P. (1999), “A new manifesto for management”, Sloan Management Review, Vol. 40 No. 3, pp. 9‐20.

Huff, A.S. (1990), Mapping Strategic Thought, Wiley, Chichester.

Kosko, B. (1997), Fuzzy Engineering, Prentice‐Hall, Englewood Cliffs, NJ.

Laukkanen, M. (1998), “Conducting casual mapping research: opportunites and challenges”, in Eden, C. and Spender, J.C. (Eds), Managerial and Organisational Cognition, Sage Publications, Thousand Oaks, CA, pp. 168‐209.

Li, S., Davies, B., Edwards, J., Kinman, R. and Duan, Y. (2002), “Integrating group Delphi, fuzzy logic and expert systems for marketing strategy development: the hybridisation and its effectiveness”, Marketing Intelligence & Planning, Vol. 20 No. 5, pp. 273‐94.

Linstone, H.A. and Turoff, M. (Eds) (1975), The Delphi Method: Technology and Application, Addison‐Wesley, Reading, MA.

Lootsma, F.A. (1997), Fuzzy Logic for Planning and Decision Making, Kluwer Academic, Dordrecht.

Porter, M.E. (1985), Competitive Advantage, The Free Press, New York, NY.

Saaty, T.L. (1980), The Analytic Hierarchy Process, McGraw‐Hill, New York, NY.

Saaty, T.L. (1994), Fundamentals of Decision Making and Priority Theory, University of Pittsburgh, Pittsburgh, PA.