Journal of Korean Institute of Industrial Engineers (대한산업공학회지)

Korean Institute of Industrial Engineers (대한산업공학회)
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Success Factors of Game Products by Using a Diffusion Model and Cluster Analysis

확산모형과 군집분석을 이용한 게임제품의 흥행요소 분석

  • Song, Sungmin (Seoul National University of Science and Technology, Department of Data Science) ;
  • Cho, Nam-Wook (Seoul National University of Science and Technology, Department of Industrial and Information Systems Engineering) ;
  • Kim, Taegu (Hanbat National University, Department of Industrial and Management Engineering)
  • 송성민 (서울과학기술대학교 일반대학원 데이터사이언스학과) ;
  • 조남욱 (서울과학기술대학교 글로벌산업융합공학과) ;
  • 김태구 (한밭대학교 산업경영공학과)
  • Received : 2016.01.17
  • Accepted : 2016.04.17
  • Published : 2016.06.15
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Abstract

As the global game market has been more competitive, it has been important to analyze success factors of game products. In this paper, we applied a Bass Diffusion Model and Clustering Analysis to identify the success factors of games based on data from Steam, an international game platform. By using a diffusion model, we first categorize game products into two groups : successful and unsuccessful games. Then, each group has been analyzed by using clustering analysis based on product features such as genres, price, and minimum system requirements. As a result, success factors of a game have been identified. The result shows that customers in game industry appreciate sophisticated contents. Unlike many other industries, price is not considered as a key success factor in the game industry. Expecially, advanced independent video games (commonly referred to as indie games) with killer contents show competitiveness in the market.

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