A study of downloading game applications

Abstract

With the growth of communications services and mobile devices, it leads to the popularity of mobile operating systems such as Android and iOS, and bring the market growth opportunities for the software industry. Among lots kinds of applications (APP), game APPs have attracted much attention. According to related research, it estimates that in 2015 the market value of game APPs will reach to 20% of the overall game market. In the fierce competition, how to design products for satisfying the needs of users, and attract users to download have become one of important issues for developers of game APPs. Therefore, the main purpose of this study is to define the potential factors that influence users to download game APP based on the technology acceptance model (TAM) and innovation diffusion theory (IDT). Then, two feature selection methods, Support Vector Machine-Recursive Feature Elimination (SVMRFE) and Information Gain (IG) will be utilized to identify the key factors of downloading game APPs. Finally, a comparison between different groups will be provided. The results can be used as a reference for game developers and researchers to design game APPs.