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Understanding Factors Affecting Innovation Resistance of Mobile Payments in Taiwan: An Integrative Perspective

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  • Kuo Cheng Chung

    (Department of Marketing and Logistic Management, National Penghu University of Science and Technology, Magong 88046, Taiwan)

  • Silvia Wan-Ju Liang

    (Undergraduate Program of Financial Management College, CTBC Business School, Tainan 70963, Taiwan)

Abstract

Mobile payment is a new payment method that provides opportunities for the financial services industry and involves various payment mediums. There are numerous drivers and barriers that influence customers’ willingness to use mobile payment. Previous studies have focused upon the motivations which facilitate its usage, but this study takes the opposite viewpoint and seeks to understand and classify the resistance to mobile payment from the customer perspective. Structural equation modeling (SEM) was used to analyze the data. More specifically, due to the small sample size, the study employed the Partial Least Squares (PLS) technique. A total of 348 valid samples were collected. Self-determination is an antecedent of innovation resistance theory and further affects the intention to use the mobile payment approach. The conclusion is that resistance to new products will reduce as consumers’ psychological needs are fulfilled. Several theoretical and practical implications are discussed for the mobile payment resistance.

Suggested Citation

  • Kuo Cheng Chung & Silvia Wan-Ju Liang, 2020. "Understanding Factors Affecting Innovation Resistance of Mobile Payments in Taiwan: An Integrative Perspective," Mathematics, MDPI, vol. 8(10), pages 1-19, October.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:10:p:1841-:d:431174
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    References listed on IDEAS

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    1. Mittelstaedt, Robert A, et al, 1976. "Optimal Stimulation Level and the Adoption Decision Process," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 3(2), pages 84-94, Se.
    2. Michael Antioco & Mirella Kleijnen, 2010. "Consumer adoption of technological innovations : Effects of psychological and functional barriers in a lack of content versus a presence of content situation," Post-Print hal-02312561, HAL.
    3. Arts, Joep W.C. & Frambach, Ruud T. & Bijmolt, Tammo H.A., 2011. "Generalizations on consumer innovation adoption: A meta-analysis on drivers of intention and behavior," International Journal of Research in Marketing, Elsevier, vol. 28(2), pages 134-144.
    4. Midgley, David F & Dowling, Grahame R, 1993. "A Longitudinal Study of Product Form Innovation: The Interaction between Predispositions and Social Messages," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(4), pages 611-625, March.
    5. M. Antioco & M. Kleijnen, 2010. "Consumer adoption of technological innovations Effects of psychological and functional barriers in a lack of content versus a presence of content situation," Post-Print hal-00387308, HAL.
    6. Kleijnen, Mirella & Lee, Nick & Wetzels, Martin, 2009. "An exploration of consumer resistance to innovation and its antecedents," Journal of Economic Psychology, Elsevier, vol. 30(3), pages 344-357, June.
    7. Matsuo, Makoto & Minami, Chieko & Matsuyama, Takuya, 2018. "Social influence on innovation resistance in internet banking services," Journal of Retailing and Consumer Services, Elsevier, vol. 45(C), pages 42-51.
    8. Inès Chouk & Zied Mani, 2017. "Drivers of consumers’ resistance to smart products," Post-Print hal-02980400, HAL.
    9. Kim, Junghun & Lee, Hyunjoo & Lee, Jongsu, 2020. "Smartphone preferences and brand loyalty: A discrete choice model reflecting the reference point and peer effect," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    10. Su-Chang Chen & Kuo Cheng Chung & Ming Yueh Tsai, 2019. "How to Achieve Sustainable Development of Mobile Payment through Customer Satisfaction—The SOR Model," Sustainability, MDPI, vol. 11(22), pages 1-16, November.
    11. de Bellis, Emanuel & Venkataramani Johar, Gita, 2020. "Autonomous Shopping Systems: Identifying and Overcoming Barriers to Consumer Adoption," Journal of Retailing, Elsevier, vol. 96(1), pages 74-87.
    12. Peter, J Paul & Tarpey, Lawrence X, Sr, 1975. "A Comparative Analysis of Three Consumer Decision Strategies," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 2(1), pages 29-37, June.
    13. repec:ucp:bkecon:9780226316529 is not listed on IDEAS
    14. Kaur, Puneet & Dhir, Amandeep & Singh, Naveen & Sahu, Ganesh & Almotairi, Mohammad, 2020. "An innovation resistance theory perspective on mobile payment solutions," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    15. Ahmed Dermish & Christoph Kneiding & Paul Leishman & Ignacio Mas, 2011. "Branchless and Mobile Banking Solutions for the Poor: A Survey of the Literature," Innovations: Technology, Governance, Globalization, MIT Press, vol. 6(4), pages 81-98, October.
    16. Kazan, Erol & Tan, Chee-Wee & Lim, Eric T.K & Sørensen, Carsten & Damsgaard, Jan, 2018. "Disentangling digital platform competition: the case of UK mobile payment platforms," LSE Research Online Documents on Economics 86345, London School of Economics and Political Science, LSE Library.
    17. Leung, Larry Sau Kei & Matanda, Margaret J., 2013. "The impact of basic human needs on the use of retailing self-service technologies: A study of self-determination theory," Journal of Retailing and Consumer Services, Elsevier, vol. 20(6), pages 549-559.
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    2. Chakraborty, Debarun & Siddiqui, Aaliyah & Siddiqui, Mujahid & Rana, Nripendra P. & Dash, Ganesh, 2022. "Mobile payment apps filling value gaps: Integrating consumption values with initial trust and customer involvement," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    3. Villanueva Orbaiz, María Luisa & Arce-Urriza, Marta, 2024. "The role of active and passive resistance in new technology adoption by final consumers: The case of 3D printing," Technology in Society, Elsevier, vol. 77(C).
    4. Hameed, Irfan & Akram, Umair & Khan, Yamna & Khan, Naveed R. & Hameed, Imran, 2024. "Exploring consumer mobile payment innovations: An investigation into the relationship between coping theory factors, individual motivations, social influence and word of mouth," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    5. Faten Baklouti & Fayçal Boukamcha, 2024. "Consumer resistance to internet banking services: implications for the innovation resistance theory," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(2), pages 364-376, June.

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