Due to the rapid diffusion of social mobile payment (SMP), the current research explores the post-adoption behavior of SMP users. It proposes a research model to determine the core predictors of users’ continuance intentions to use SMPs. Through the analysis of survey data from South Korea, it indicates that satisfaction strongly and positively affects users’ continuance intentions. Moreover, satisfaction is influenced by perceived usefulness (PU), security, and enjoyment. Interestingly, although perceived ease of use (PEU) does not directly affect satisfaction, it can indirectly influence satisfaction via users’ PU and perceived enjoyment. Furthermore, perceived ubiquity has strong effects on users’ PU and PEU. The study also discusses meaningful implications, and provides suggestions for future studies.

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The Chinese government's rigorous efforts to enhance its soft power have confronted a major challenge during the COVID-19 pandemic. This study aimed to look at how the Chinese soft power changed throughout the pandemic using English news articles that covered China. The research took a data science approach to investigate the contents of articles using machine-learning-based sentiment analysis and Dirichlet-Multinomial Regression (DMR) analysis. The results show a gradual downturn in overall sentiment and that the topics related to political issues made the most significant impact. Nevertheless, the major increase in referencing Chinese social media implied that the sources of Chinese soft power have been diversified throughout the pandemic. In addition, this research has aimed to engage in major debates around soft power theory. Providing a multi-disciplinary approach for analyzing soft power, this research has tackled the difficulties in the quantitative conceptualization of soft power.

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