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Continuance Usage Intention toward E-Payment during the COVID-19 Pandemic from the Financial Sustainable Development Perspective Using Perceived Usefulness and Electronic Word of Mouth as Mediators

Author

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  • Tsai-Ling Liu

    (Department of International Business, National Dong Hwa University, Hualien 974301, Taiwan)

  • Tyrone T. Lin

    (Department of International Business, National Dong Hwa University, Hualien 974301, Taiwan)

  • Shu-Yen Hsu

    (Department of International Business, National Dong Hwa University, Hualien 974301, Taiwan)

Abstract

Digital transformation is essential to financial sustainable development. Since the beginning of 2020, the whole world has been under the influence of the COVID-19 pandemic, which has accelerated the pace of financial digitization. According to the perceived usefulness of the technology acceptance model (TAM) and the perceived seriousness of the health belief model (HBM), this study developed and explored the theoretical framework of consumers’ continuance usage intention toward e-payment. A questionnaire survey was conducted to explore this continuance usage intention among consumers who have used e-payment in Taiwan during the COVID-19 pandemic, with a total of 387 valid samples. The overall model was analyzed by structural equation modeling (SEM). The empirical results showed that the security, perceived seriousness, and perceived usefulness of e-payment significantly affect electronic word of mouth (eWOM), while the security and perceived seriousness of e-payment have a significant effect on continuance usage intention through perceived usefulness and eWOM. During the COVID-19 pandemic, e-payment providers should encourage consumers to use e-payment via eWOM, perceived usefulness, and consumers’ perceived health seriousness and should improve the use efficiency of e-payment through e-payment financial services, thus encouraging consumers’ continuance usage intention toward e-payment.

Suggested Citation

  • Tsai-Ling Liu & Tyrone T. Lin & Shu-Yen Hsu, 2022. "Continuance Usage Intention toward E-Payment during the COVID-19 Pandemic from the Financial Sustainable Development Perspective Using Perceived Usefulness and Electronic Word of Mouth as Mediators," Sustainability, MDPI, vol. 14(13), pages 1-23, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:7775-:d:847991
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    as
    1. Stephanie Watts Sussman & Wendy Schneier Siegal, 2003. "Informational Influence in Organizations: An Integrated Approach to Knowledge Adoption," Information Systems Research, INFORMS, vol. 14(1), pages 47-65, March.
    2. Amanda J. Dillard & Mick P. Couper & Brian J. Zikmund-Fisher, 2010. "Perceived Risk of Cancer and Patient Reports of Participation in Decisions about Screening: The DECISIONS Study," Medical Decision Making, , vol. 30(5_suppl), pages 96-105, September.
    3. Petty, Richard E & Cacioppo, John T & Schumann, David, 1983. "Central and Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(2), pages 135-146, September.
    4. Josh Lerner & Peter Tufano, 2011. "The Consequences of Financial Innovation: A Counterfactual Research Agenda," NBER Chapters, in: The Rate and Direction of Inventive Activity Revisited, pages 523-575, National Bureau of Economic Research, Inc.
    5. Ikujiro Nonaka, 1994. "A Dynamic Theory of Organizational Knowledge Creation," Organization Science, INFORMS, vol. 5(1), pages 14-37, February.
    6. Khim-Yong Goh & Cheng-Suang Heng & Zhijie Lin, 2013. "Social Media Brand Community and Consumer Behavior: Quantifying the Relative Impact of User- and Marketer-Generated Content," Information Systems Research, INFORMS, vol. 24(1), pages 88-107, March.
    7. Filieri, Raffaele, 2015. "What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM," Journal of Business Research, Elsevier, vol. 68(6), pages 1261-1270.
    8. Lim, Weng Marc & Ahmed, Pervaiz Khalid & Ali, Md Yunus, 2022. "Giving electronic word of mouth (eWOM) as a prepurchase behavior: The case of online group buying," Journal of Business Research, Elsevier, vol. 146(C), pages 582-604.
    9. Lukman O. Oyelami & Sulaimon O. Adebiyi & Babatunde S. Adekunle, 2020. "Electronic payment adoption and consumers’ spending growth: empirical evidence from Nigeria," Future Business Journal, Springer, vol. 6(1), pages 1-14, December.
    10. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    11. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    12. Satish Kumar & Weng Marc Lim & Nitesh Pandey & J. Christopher Westland, 2021. "20 years of Electronic Commerce Research," Electronic Commerce Research, Springer, vol. 21(1), pages 1-40, March.
    13. Yoonyoung Hwang & Sangwook Park & Nina Shin, 2021. "Sustainable Development of a Mobile Payment Security Environment Using Fintech Solutions," Sustainability, MDPI, vol. 13(15), pages 1-15, July.
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    1. Miloš Milosavljević & Milan Okanović & Slavica Cicvarić Kostić & Marija Jovanović & Milenko Radonić, 2023. "COVID-19 and Behavioral Factors of e-Payment Use: Evidence from Serbia," Sustainability, MDPI, vol. 15(4), pages 1-13, February.
    2. Tsai-Ling Liu & Tyrone T. Lin & Shu-Yen Hsu, 2023. "Exploring the Perspective of Bank Employees on the Impact of Green Process Innovation and Perceived Environmental Responsibilities on the Sustainable Performance of the Banking Industry," Sustainability, MDPI, vol. 15(22), pages 1-19, November.

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