From situation analysis to decision options: An improved swot approach

Date

2007-12-01

Author

Lu, Weisheng
Flanagan, Roger
Pekeriçli, Mehmet Koray
Jewell, Carol

Metadata

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Decision making theory suggests that a typical process for making decision comprises sequential steps such as setting objectives, understanding decision situation, generating decision alternatives, evaluating and selecting an optimal option, and so on. This research focuses on the process of generating decision options from a situation analysis. In practice, this process still heavily depends on decision maker's creativity despite the Strengths, Weaknesses, Opportunities, and Threats (SWOT) approach has greatly facilitated it. This research aims to aid the generation of decision options by considering artificial intelligence (AI) as a possible solution. It starts with a critical review of the SWOT as a powerful and popular tool for conducting situation analysis. A weighted matrix is introduced to improve the current SWOT approach. By manipulating the matrix, a heuristic rule is derived. The heuristic rule can be fed into future AI software to generate various decision options.

Subject Keywords

SWOT analyse, Quantitative strategic planning matrix, Analytic network process

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84877626744&origin=inward
https://hdl.handle.net/11511/74562

Conference Name

25th Inaugural Construction Management and Economics: 'Past, Present and Future' Conference, CME 2007 (16-18 July 2007)

Collections

Department of Architecture, Conference / Seminar

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Citation Formats

W. Lu, R. Flanagan, M. K. Pekeriçli, and C. Jewell, “From situation analysis to decision options: An improved swot approach,” Reading, United Kingdom, 2007, p. 699, Accessed: 00, 2021. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84877626744&origin=inward.