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Influence of Habits on Mobile Payment Acceptance: An Ecosystem Perspective

Author

Listed:
  • Lin Jia

    (Beijing Institute of Technology
    Sustainable Development Research Institute for Economy and Society of Beijing)

  • Xiuwei Song

    (Beijing Institute of Technology)

  • Dianne Hall

    (Auburn University)

Abstract

With the increase in the use of various mobile devices, mobile payments have become a crucial driver for commerce success. However, the percentage of consumers who use or continue using mobile payments in the US is low. This study adopts information technology (IT) ecosystem view and transfer of learning theory and explores the effects of five types of technology use habits on consumers’ intention to continue using mobile payments. Results indicate that consumers’ online shopping, mobile service use, and cell phone use habits have a positive relationship with their mobile payment use habit, positively affecting their intention to continue using mobile payments. Theoretical and practical implications of the findings are presented.

Suggested Citation

  • Lin Jia & Xiuwei Song & Dianne Hall, 2022. "Influence of Habits on Mobile Payment Acceptance: An Ecosystem Perspective," Information Systems Frontiers, Springer, vol. 24(1), pages 247-266, February.
  • Handle: RePEc:spr:infosf:v:24:y:2022:i:1:d:10.1007_s10796-020-10077-6
    DOI: 10.1007/s10796-020-10077-6
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    1. Gediminas Adomavicius & Jesse Bockstedt & Alok Gupta, 2012. "Modeling Supply-Side Dynamics of IT Components, Products, and Infrastructure: An Empirical Analysis Using Vector Autoregression," Information Systems Research, INFORMS, vol. 23(2), pages 397-417, June.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. E. Burton Swanson, 1994. "Information Systems Innovation Among Organizations," Management Science, INFORMS, vol. 40(9), pages 1069-1092, September.
    4. Jia, Lin & Xue, Geng & Fu, Yuwei & Xu, Longjia, 2018. "Factors affecting consumers’ acceptance of e-commerce consumer credit service," International Journal of Information Management, Elsevier, vol. 40(C), pages 103-110.
    5. Lindbladh, Eva & Lyttkens, Carl Hampus, 2002. "Habit versus choice: the process of decision-making in health-related behaviour," Social Science & Medicine, Elsevier, vol. 55(3), pages 451-465, August.
    6. Robert Kraut & Tridas Mukhopadhyay & Janusz Szczypula & Sara Kiesler & Bill Scherlis, 1999. "Information and Communication: Alternative Uses of the Internet in Households," Information Systems Research, INFORMS, vol. 10(4), pages 287-303, December.
    7. Howard Aldrich & Tiantian Yang, 2014. "How do entrepreneurs know what to do? learning and organizing in new ventures," Journal of Evolutionary Economics, Springer, vol. 24(1), pages 59-82, January.
    8. Thomas P. Novak & Donna L. Hoffman & Yiu-Fai Yung, 2000. "Measuring the Customer Experience in Online Environments: A Structural Modeling Approach," Marketing Science, INFORMS, vol. 19(1), pages 22-42, May.
    9. Liebana-Cabanillas Francisco & Muñoz-Leiva Francisco & Sanchez-Fernandez Juan, 2015. "Payment Systems in New Electronic Environments: Consumer Behavior in Payment Systems via SMS," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 14(02), pages 421-449.
    10. Naresh K. Malhotra & Sung S. Kim & Ashutosh Patil, 2006. "Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research," Management Science, INFORMS, vol. 52(12), pages 1865-1883, December.
    11. Sung S. Kim & Naresh K. Malhotra, 2005. "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, INFORMS, vol. 51(5), pages 741-755, May.
    12. Jennifer S. Labrecque & Wendy Wood & David T. Neal & Nick Harrington, 2017. "Habit slips: when consumers unintentionally resist new products," Journal of the Academy of Marketing Science, Springer, vol. 45(1), pages 119-133, January.
    13. D. Harrison McKnight & Vivek Choudhury & Charles Kacmar, 2002. "Developing and Validating Trust Measures for e-Commerce: An Integrative Typology," Information Systems Research, INFORMS, vol. 13(3), pages 334-359, September.
    14. Sung S. Kim & Naresh K. Malhotra & Sridhar Narasimhan, 2005. "Research Note—Two Competing Perspectives on Automatic Use: A Theoretical and Empirical Comparison," Information Systems Research, INFORMS, vol. 16(4), pages 418-432, December.
    15. Martin Eisend, 2019. "Explaining Digital Piracy: A Meta-Analysis," Information Systems Research, INFORMS, vol. 30(2), pages 636-664, June.
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    Cited by:

    1. Petr Hajek & Mohammad Zoynul Abedin & Uthayasankar Sivarajah, 2023. "Fraud Detection in Mobile Payment Systems using an XGBoost-based Framework," Information Systems Frontiers, Springer, vol. 25(5), pages 1985-2003, October.
    2. Wang, Qian & Chen, Hang, 2022. "Better or Worse? Effects of online promotion habits on customer value: An empirical study," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).

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