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Jung-Chieh Lee

As seen in: Nature, Emerald Publishing, SCImago Journal & Country Rank, Journal of Enterprise Information Management
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Articles by Jung-Chieh Lee

Fintech at work: examining the psychological mechanisms linking fintech use and work productivity in the financial industry

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By Jung-Chieh Lee, Jingyi Sun, Lei Bi
| Nature Verified
Abstract Drawing on a survey of 934 Chinese finance employees, this study examines the association of fintech use with employees’ psychological conditions and work productivity in the financial industry. Using Kahn’s (1990) work engagement framework, we analyze how fintech use relates to psychological meaningfulness, safety, and availability and how these conditions influence employees’ perceived productivity gains that are attributable to fintech usage.
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Environmental concerns and green trust in continuous green fintech use: an expectation-confirmation model with insights from Ant Forest - Humanities and Social Sciences Communications

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By Jung-Chieh Lee
| Nature Verified
Abstract Green financial technology (fintech) focuses on achieving sustainable development goals. The Ant Forest application is a typical example that reflects the characteristics of green fintech, serving as a focal point for investigation in this study. Environmental concerns and green trust are important factors in promoting the user acceptance and adoption of green services.
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User stickiness to facial recognition payment technology: insights from Sako’s trust typology, privacy concerns, and a cross-cultural context - Humanities and Social Sciences Communications

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By Jung-Chieh Lee
| Nature Verified
Abstract People remain concerned about using facial recognition payment (FRP) technology because of risks such as biological information and data leakage. Therefore, promoting individuals’ continual use behavior of FRPs is critical for their successful deployment. However, the majority of FRP studies emphasize individuals’ intentions. A discrepancy between intention and actual use may exist, but few or no studies have explored and investigated the factors affecting people’s sustained use behavior.
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Understanding continuance intention of artificial intelligence (AI)-enabled mobile banking applications: an extension of AI characteristics to an expectation confirmation model | Humanities and Social Sciences Communications

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By Jung-Chieh Lee
| Nature Verified
Abstract Artificial intelligence (AI) has been proven to be a disruptive financial technology in the context of mobile banking that can provide more practical value to users and banks. AI is a critical way of facilitating user acceptance and adoption of mobile banking applications (apps).
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