{"title":"SWOT Analysis Support Tool for Verification of Business Strategy","authors":"M. Samejima, Y. Shimizu, M. Akiyoshi, N. Komoda","doi":"10.1109/ICCCYB.2006.305700","DOIUrl":null,"url":null,"abstract":"To verify business strategies, it is essential to extract and analyze business information. The amount of business information is so enormous that it is time-consuming for an analyst to extract and analyze. Thus, we propose a support tool for verifying business strategies using SWOT analysis. This tool supports the extraction of factors for analysis. However, the information includes unnecessary factors, same factors in different expressions, and meaningless factors in independent use. To solve these problems, we propose a framework for this tool using our proposed keywords extraction method.","PeriodicalId":160588,"journal":{"name":"2006 IEEE International Conference on Computational Cybernetics","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"32","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE International Conference on Computational Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCYB.2006.305700","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 32
Abstract
To verify business strategies, it is essential to extract and analyze business information. The amount of business information is so enormous that it is time-consuming for an analyst to extract and analyze. Thus, we propose a support tool for verifying business strategies using SWOT analysis. This tool supports the extraction of factors for analysis. However, the information includes unnecessary factors, same factors in different expressions, and meaningless factors in independent use. To solve these problems, we propose a framework for this tool using our proposed keywords extraction method.