From situation analysis to decision options: An improved swot approach

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