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Success Factors of Game Products by Using a Diffusion Model and Cluster Analysis
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 Title & Authors
Success Factors of Game Products by Using a Diffusion Model and Cluster Analysis
Song, Sungmin; Cho, Nam-Wook; Kim, Taegu;
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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.
Game Industry;Success Factors;Bass Diffusion Model;Cluster Analysis;Steam Platform;
 Cited by
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