Högskolan i Skövde

The emergence of new game value chains makes game developer self-publishing possible, but how they conduct the game self-publishing business is unknown. Besides this, business intelligence has been applied in game development for game design and optimization, but few systematic research efforts are focusing on game publishing, especially on mobile game self-publishing. In this paper, a research proposal for adopting a data-driven model to conduct mobile game self-publishing is proposed. My Ph.D. research aims to identify and remedy the main problems faced by game developers during mobile game self-publishing then introduce a brand-new model to support the whole process of mobile game publishing which combines analysis of player's behavior with in-game system data. The main contribution is based on the survey of business intelligence used in the game area and also the interviews, to identify the key issues for self-publishing and then, to propose a research effort leading to a new data-driven model for mobile game self-publishing, primarily targeting independent (indie) game developers.