Abstract: Digital mobility platforms increasingly use gamification to encourage user participation and continued service use. However, different gamification approaches may not contribute equally to user retention, and the psychological processes underlying their effects remain unclear. Drawing on Self-Determination Theory, this study examines how achievement-based, immersion-based, and social-based gamification are associated with users’ continued use intention through the satisfaction of autonomy, competence, and relatedness needs. Survey data were collected from 389 users of a major bike-sharing platform in China and analyzed using partial least squares structural equation modeling. The results reveal distinct motivational pathways. Achievement-based gamification is positively associated with all three psychological needs, while social-based gamification is positively associated with competence and relatedness. In contrast, the relationships between immersion-based gamification and the three needs are not statistically significant. Autonomy, competence, and relatedness are all positively related to continued use intention, with autonomy showing the strongest relationship. The findings indicate that digital engagement creates retention-related value when gamification design supports users’ psychological experiences rather than merely adding interactive features. The study offers practical implications for the design and management of gamified digital mobility services.
Prof. Bob Barrett
American Public University, USA
Dr. Bob Barrett is a Full Professor for the WEB School of Business at the American Public University in the United States. He has been teaching online for more than 24 years and has prior live teaching background, and he holds a current U.S./West Virginia State teaching license. He has been teaching at American Public University for 22 years. Also, he holds several instructor/professor positions with other online schools to keep his currency in his field and works with a range of Learning Management Systems (LMS). He lectures both nationally and internationally on the topics of Artificial Intelligence (AI) with a specialized in HR and MBA programs, Crisis Management, Knowledge Management, Online Learning, Training & Development, Strategic Management, and Intellectual Capital. His key research areas are the creation of knowledge management, intellectual capital, and human capital in the workplace, disability in the workplace and education, as well as having a specialization in developing human capital, and preparing expatriates for work in the global market. He has spoken at more than 300 international conferences on each continent and serves on several conference advisory boards, as well as have served as the lead keynote speaker at several European and Asian conferences. He believes that the field of online learning will be changing drastically over the next few years as Artificial Intelligence (AI) is now a major component in all organizations, especially educational institutions.