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Key determinants of sustainable smartcard payment

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  • Liao, Ziqi
  • Shi, Xinping
  • Wong, Wing-Keung

Abstract

This paper aims at examining the sustainability of smartcard payment in retailing and consumer services. The analytical results of our survey data suggest that usefulness, ease of use, convenience, automatic add-value service, security, reliability, and participation of popular service providers have considerable effects on continuous use of smartcard payment. The present work empirically identifies and justifies the key determinants of sustainable smartcard payment from the consumer perspective. The findings provide managerial insights for the implementation of cutting-edge technology to enhance sales and service operations and make important contributions to research and practice in technology-based service innovation and service operations management.

Suggested Citation

  • Liao, Ziqi & Shi, Xinping & Wong, Wing-Keung, 2014. "Key determinants of sustainable smartcard payment," Journal of Retailing and Consumer Services, Elsevier, vol. 21(3), pages 306-313.
    • Handle: RePEc:eee:joreco:v:21:y:2014:i:3:p:306-313
    DOI: 10.1016/j.jretconser.2014.02.001
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    Cited by:

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    2. Nguyen Huu Hau & Tran Trung Tinh & Hoa Anh Tuong & Wing-Keung Wong, 2020. "Review of Matrix Theory with Applications in Education and Decision Sciences," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 28-69, March.
    3. Liu, Yunxin & Dewitte, Siegfried, 2021. "A replication study of the credit card effect on spending behavior and an extension to mobile payments," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    4. Purevdulam Altantsetseg & Alaleh Dadvari & Tsevegjav Munkhdelger & Gerelt-Od Lkhagvasuren & Massoud Moslehpour, 2020. "Sustainable Development of Entrepreneurial Orientation through Social Drivers," Sustainability, MDPI, vol. 12(21), pages 1-19, October.
    5. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Tinbergen Institute Discussion Papers 18-024/III, Tinbergen Institute.
    6. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," JRFM, MDPI, vol. 11(1), pages 1-29, March.
    7. Liao, Ziqi & Shi, Xinping, 2017. "Web functionality, web content, information security, and online tourism service continuance," Journal of Retailing and Consumer Services, Elsevier, vol. 39(C), pages 258-263.
    8. Boden, Joe & Maier, Erik & Wilken, Robert, 2020. "The effect of credit card versus mobile payment on convenience and consumers’ willingness to pay," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    9. Tran Thai Ha Nguyen & Massoud Moslehpour & Thi Thuy Van Vo & Wing-Keung Wong, 2020. "State Ownership and Risk-Taking Behavior: An Empirical Approach to Get Better Profitability, Investment, and Trading Strategies for Listed Corporates in Vietnam," Economies, MDPI, vol. 8(2), pages 1-21, June.
    10. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, And Big Data: Connections," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 36-94, December.
    11. Zsófia Pintér & Mónika Zita Nagy & Katalin Tóth & József Varga, 2022. "The Struggle between Cash and Electronic Payments," Economies, MDPI, vol. 10(12), pages 1-15, November.
    12. Mbaye Fall Diallo & Isabelle Collin-Lachaud, 2019. "Impact of hedonic evaluation of technological innovations on revisit intention in a store digitalization context," Post-Print hal-03156206, HAL.
    13. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 11(1), pages 1-29, March.

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