| Summary: | 碩士 === 國立中央大學 === 資訊管理學系 === 102 === When conducting strategy planning, the most popular way is SWOT analysis. However, SWOT method abandons the possibility of grouping multiple strategy factors in advance, limits creativity of strategy forming, and narrows the vision of decision.
Hence, based on many mathematical methods, i.e. information retrieval tech-nologies and network clustering methods, new grouping methods of strategy factors are going to be developed and be compared to SWOT analysis on performance by using the existing interacting matrices for demonstration.
The strategy factor index matrix has been successfully built. Time is taken as an element into account, makes the evaluation of relationship of strategy factors more comprehensively, and is applied to network clustering methods smoothly. The results of strategy factors grouping have a potential of multi-factor assembling compared to SWOT analysis and a capability that can help expanding vision of decision. The utilizing of document database as assistance of forming the matrix makes the clustering methods transcend SWOT analysis on the classification of strategy factors relied on personal cognition. Therefore, it enhances the creativity. And, it is found that in the strategy factor groups, there are some new combinations when using those new methods.
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