{"title":"Success Factors in Global Niche Top Companies: Analysis of Free Description Data Using Text Mining","authors":"A. Shimoda, Taro Yabuki","doi":"10.1109/IIAI-AAI.2016.147","DOIUrl":null,"url":null,"abstract":"A global niche top (GNT) company has globally high market share in a specific field. While specializing in the limited field and aiming at a high share, a scale is secured aimed at the world market. This strategy attracts attention for small and medium-sized enterprises whose management resources are restricted. However, since those companies have various target fields, understanding the common success factor only by analyzing each example is difficult. Moreover, it is difficult for a selection-type questionnaire to understand the success factor in various fields. In this study, we attempted to clarify success factors by analyzing the free description data written about GNT companies using text mining. As a result, information related to success factors of various types of industries was acquired.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIAI-AAI.2016.147","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A global niche top (GNT) company has globally high market share in a specific field. While specializing in the limited field and aiming at a high share, a scale is secured aimed at the world market. This strategy attracts attention for small and medium-sized enterprises whose management resources are restricted. However, since those companies have various target fields, understanding the common success factor only by analyzing each example is difficult. Moreover, it is difficult for a selection-type questionnaire to understand the success factor in various fields. In this study, we attempted to clarify success factors by analyzing the free description data written about GNT companies using text mining. As a result, information related to success factors of various types of industries was acquired.