Journal of Korean Institute of Industrial Engineers (대한산업공학회지)

Korean Institute of Industrial Engineers (대한산업공학회)
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Successful Joint Venture Strategies Based on Data Mining

데이터마이닝 기법을 기반으로 한 성공적인 Joint Venture 전략

  • Kim, Jin Hyung (Department of Information & Industrial Engineering, Yonsei University) ;
  • Sohn, So Young (Department of Information & Industrial Engineering, Yonsei University)
  • 김진형 (연세대학교 정보산업공학과) ;
  • 손소영 (연세대학교 정보산업공학과)
  • Published : 2007.12.31
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Abstract

The purpose of this study is to propose types of joint venturesthat can increase the competitivenessof a company in the marketplace. We examine the characteristics of individual venture enterprises based on technology. We considered 16 TEA in order to categorize companies into four groups. Next, we used a multinomial logistic regression model to identify the significant characteristics of a venture company that successfully predicts group membership. Based on this information, we propose various forms of joint venture which complement each other and produce higher overall competence. Our study can provide important feedback information to academics, Policy-makers.

Keywords

References

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