Purpose: The purpose of this paper is to investigate users’ continuous adoption behaviors on mobile game playing from the perspective of situational habit formation. Design/methodology/approach: Based on the literature research, a continuous adoption model for situational mobile game is proposed. And the research model is assessed based on data gathered from a sample of 226 mobile game players by employing the structural equation model methodology. Findings: The results show that situational cues represented by availability, perceived ease of use and diversion lead to repeated performance that can be represented by flow experience and satisfaction in the situational mobile game playing context. But only flow experience and diversion influence continuous usage directly. Additionally diversion, as a critical situational variable, not only indirectly affects continuous usage intention through flow experience, but also directly affects continuous usage intention for situational mobile game playing. Originality/value: Mobile game adoption has been studied from different perspectives, but most research is based on the technology acceptance model. They could not explain the common fact that young people tend to be highly motivated by mobile games and can be regarded as pro-active mobile game players, but many people play mobile games only when they are bored and need a diversion. So this study attempts to illustrate the phenomena to fill the gaps.

Context-aware services such as Global Positioning System (GPS) and Location Based Services (LBS) can be used to acquire information and services at any time from anywhere in various contexts. It is critical to study how user perceptions and intentions are affected in different decision-making processes. Based on the Technology Acceptance Model and Expectation Confirmation Theory, this research examines a two-stage theoretical model of consumer adoption of context-aware services by studying an example of an intelligent tourist guide Xi-Hu-Tong (West Lake tour). We focus on the formation mechanisms of user decisions in the initial adoption stage, and on feedback and evaluation mechanisms in the post-adoption stage. According to our data analysis using structural equation modeling, we find that relative advantage, motivational needs, and personal situations have significant impacts on user initial adoption intention. Additionally, usage experience has a significant impact on expectation confirmation and satisfaction. Usage experience also influences user satisfaction, reinforcing the emergence of post-adoption behaviors such as continuous usage and recommendations. Together, these results illustrate the dynamic process that encourages consumers who begin as potential users to eventually become loyal users.