Comparison on Grouping Methods of Strategy Factors

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 ma...

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Main Authors: Chung-ho Chang, 張中和
Other Authors: Yih-chearng Shiue
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/94637762643279479018
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spelling ndltd-TW-102NCU053960852015-10-13T23:55:41Z http://ndltd.ncl.edu.tw/handle/94637762643279479018 Comparison on Grouping Methods of Strategy Factors 策略群組規劃方法之評比 Chung-ho Chang 張中和 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. Yih-chearng Shiue 薛義誠 2014 學位論文 ; thesis 90 zh-TW
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language zh-TW
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sources NDLTD
description 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.
author2 Yih-chearng Shiue
author_facet Yih-chearng Shiue
Chung-ho Chang
張中和
author Chung-ho Chang
張中和
spellingShingle Chung-ho Chang
張中和
Comparison on Grouping Methods of Strategy Factors
author_sort Chung-ho Chang
title Comparison on Grouping Methods of Strategy Factors
title_short Comparison on Grouping Methods of Strategy Factors
title_full Comparison on Grouping Methods of Strategy Factors
title_fullStr Comparison on Grouping Methods of Strategy Factors
title_full_unstemmed Comparison on Grouping Methods of Strategy Factors
title_sort comparison on grouping methods of strategy factors
publishDate 2014
url http://ndltd.ncl.edu.tw/handle/94637762643279479018
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