Social Media, Mobile Payment, and Mobile Gaming for Intentional and Behavioral Recommendations

Abstract

During the corona virus disease 2019 (COVID-19) pandemic, the Internet-based zero-contact economy model has increased people’s online social, entertainment, and business activities. Social media are social network platforms that support users’ social interaction to foster an information society. Mobile gaming refers to the use of mobile terminal devices for online entertainment. The combination of mobile payment and social media provides online users with an integrated information system platform for socializing, mobile gaming entertainment, and payment. A recommendation system filters information to predict a user’s rating or preference for a product/service. With recent advances in computer science, recommendation systems are gradually moving to develop intentional and behavioral recommendations. Thus, this study implements data mining analytics, including clustering analysis and association rules, to investigate mobile gaming, mobile payment, and social media preferences in Taiwanese gaming players. This study first finds several meaningful clusters/patterns/rules to present research findings and practical implications for intentional and behavioral recommendations (N = 2326).

Keywords:

• Social media
• mobile payment
• mobile gaming, data mining analytics
• intentional recommendation
• behavioral recommendation

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This research was funded by the National Science and Technology Council, Taiwan, Republic of China (MOST 111-2410-H-032-017-MY2).

Notes on contributors

Shu-Hsien Liao

Shu-Hsien Liao is a distinguished professor in the Department of Management Sciences, Business and Management College, Tamkang University, Taiwan, Republic of China. He received the PhD degree in Operational Research/System Group of Business School, University of Warwick, UK. His current research interests include e-commerce, business/management, and data mining.

Retno Widowati

Retno Widowati is a senior lecture in the Department of Management, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia. Her current research interests include marketing, business/management, business intelligence/data mining, and statistical method.

Wei Tang

Wei Tang is an MBA of the Department of Management Sciences, Tamkang University, Taiwan, Republic of China. He is a manager of social media operator in Taiwan.