Fuzzy-Set Analysis to Understand User Experience in Mobile Applications
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This paper examines how price value, game content quality, positive and negative emotions, gender, and gameplay time interact with each other to explain high intention to download mobile applications, and specifically mobile games. Based on complexity theory and theory of configuration, a conceptual model is drawn along with research propositions. To test our propositions, we employ fuzzy-set qualitative comparative analysis (fsQCA) on 531 users of mobile games. Findings identify ten solutions that explain high intention to download mobile games. Alternative paths are identified depending on the gender and the time users spend playing mobiles games in a day. We highlight the importance of price value and game content quality, as well as that of positive emotions which are always core factors when present. The study contributes to theory and practice (1) by offering new insights into the interrelationships among the predictors of user intention to download mobile games, and (2) by advancing the theoretical and methodological foundation of how price value, game content quality, positive and negative emotions, gender, and gameplay time combine to lead to high intention to download mobile games.