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Mobile Payment Adoption: An Empirical Investigation of Alipay

Author

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  • Yuqian Xu

    (Kenan-Flagler Business School, University of North Carolina–Chapel Hill, Chapel Hill, North Carolina 27599)

  • Anindya Ghose

    (Stern Business School, New York University, New York, New York 10012)

  • Binqing Xiao

    (Industrial Engineering Department, Nanjing University, Nanjing, Jiangsu 210093, China)

Abstract

The rapid growth in the adoption of mobile payments has already begun to reshape bank payment practices. Utilizing a unique data set from a leading bank in Asia that records credit card transactions of its customers before and after the launch of Alipay mobile payment, the largest mobile payment platform in the world, this study aims to understand the impact of mobile payment adoption on bank customer credit card activities and the change of this impact after the mobile payment expansion. To do so, we employ the difference-in-differences method coupled with matching to estimate the effects. We find that mobile payment adoption not only increases customer credit card activities at the focal bank through both off-line and online channels, but also enhances customer loyalty to the bank by reducing churn. Specifically, the total credit card transaction amount and frequency of our focal bank increased by 9.4% and 10.7%, respectively. Moreover, we examine the change in the treatment effect after the mobile payment expansion and find an increase in adopters’ credit card activities and a reduction in their churn after the expansion. Next, we discuss the underlying mechanisms and show that mobile payment acts as a substitute for physical card payment in the off-line channel, and this supports the key underlying mechanism of the reduced transaction cost. However, a certain complementary effect exists between personal computer and mobile payments, likely driven by the coadoption of the two. Finally, we provide empirical evidence on conditions that facilitate the use of mobile payments, following the unified theory of acceptance and use of technology.

Suggested Citation

  • Yuqian Xu & Anindya Ghose & Binqing Xiao, 2024. "Mobile Payment Adoption: An Empirical Investigation of Alipay," Information Systems Research, INFORMS, vol. 35(2), pages 807-828, June.
    • Handle: RePEc:inm:orisre:v:35:y:2024:i:2:p:807-828
    DOI: 10.1287/isre.2021.0156
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    References listed on IDEAS

    as
    1. Liran Einav & Jonathan Levin & Igor Popov & Neel Sundaresan, 2014. "Growth, Adoption, and Use of Mobile E-Commerce," American Economic Review, American Economic Association, vol. 104(5), pages 489-494, May.
    2. Arindrajit Dube & Jeff Jacobs & Suresh Naidu & Siddharth Suri, 2020. "Monopsony in Online Labor Markets," American Economic Review: Insights, American Economic Association, vol. 2(1), pages 33-46, March.
    3. Pengyuan Wang & Guiyang Xiong & Jian Yang, 2019. "Frontiers: Asymmetric Effects of Recreational Cannabis Legalization," Marketing Science, INFORMS, vol. 38(6), pages 927-936, November.
    4. Tianshu Sun & Lanfei Shi & Siva Viswanathan & Elena Zheleva, 2019. "Motivating Effective Mobile App Adoptions: Evidence from a Large-Scale Randomized Field Experiment," Information Systems Research, INFORMS, vol. 30(2), pages 523-539, June.
    5. Anindya Ghose & Sang Pil Han, 2014. "Estimating Demand for Mobile Applications in the New Economy," Management Science, INFORMS, vol. 60(6), pages 1470-1488, June.
    6. Yan, Li-Ya & Tan, Garry Wei-Han & Loh, Xiu-Ming & Hew, Jun-Jie & Ooi, Keng-Boon, 2021. "QR code and mobile payment: The disruptive forces in retail," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    7. Oliver E. Williamson, 2025. "Transaction Cost Economics," Springer Books, in: Claude Ménard & Mary M. Shirley (ed.), Handbook of New Institutional Economics, edition 0, chapter 4, pages 47-71, Springer.
    8. Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2018. "Double/debiased machine learning for treatment and structural parameters," Econometrics Journal, Royal Economic Society, vol. 21(1), pages 1-68, February.
    9. Yoonseock Son & Wonseok Oh & Sang Pil Han & Sungho Park, 2020. "When Loyalty Goes Mobile: Effects of Mobile Loyalty Apps on Purchase, Redemption, and Competition," Information Systems Research, INFORMS, vol. 31(3), pages 835-847, September.
    10. Anuj Kumar & Amit Mehra & Subodha Kumar, 2019. "Why Do Stores Drive Online Sales? Evidence of Underlying Mechanisms from a Multichannel Retailer," Service Science, INFORMS, vol. 30(1), pages 319-338, March.
    11. Eric Overby & Sandy Jap, 2009. "Electronic and Physical Market Channels: A Multiyear Investigation in a Market for Products of Uncertain Quality," Management Science, INFORMS, vol. 55(6), pages 940-957, June.
    12. Erik Brynjolfsson & Yu (Jeffrey) Hu & Mohammad S. Rahman, 2009. "Battle of the Retail Channels: How Product Selection and Geography Drive Cross-Channel Competition," Management Science, INFORMS, vol. 55(11), pages 1755-1765, November.
    13. Amit Mehra & Subodha Kumar & Jagmohan S. Raju, 2018. "Competitive Strategies for Brick-and-Mortar Stores to Counter “Showrooming”," Management Science, INFORMS, vol. 64(7), pages 3076-3090, July.
    14. Pham, Thanh-Thao T. & Ho, Jonathan C., 2015. "The effects of product-related, personal-related factors and attractiveness of alternatives on consumer adoption of NFC-based mobile payments," Technology in Society, Elsevier, vol. 43(C), pages 159-172.
    15. Unnati Narang & Venkatesh Shankar, 2019. "Mobile App Introduction and Online and Offline Purchases and Product Returns," Marketing Science, INFORMS, vol. 38(5), pages 756-772, September.
    16. Bellman, Steven & Potter, Robert F. & Treleaven-Hassard, Shiree & Robinson, Jennifer A. & Varan, Duane, 2011. "The Effectiveness of Branded Mobile Phone Apps," Journal of Interactive Marketing, Elsevier, vol. 25(4), pages 191-200.
    17. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    18. Jinyang Zheng & Zhengling Qi & Yifan Dou & Yong Tan, 2019. "How Mega Is the Mega? Exploring the Spillover Effects of WeChat Using Graphical Model," Information Systems Research, INFORMS, vol. 30(4), pages 1343-1362, December.
    19. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    20. Kim, Su Jung & Wang, Rebecca Jen-Hui & Malthouse, Edward C., 2015. "The Effects of Adopting and Using a Brand's Mobile Application on Customers' Subsequent Purchase Behavior," Journal of Interactive Marketing, Elsevier, vol. 31(C), pages 28-41.
    21. German F. Retana & Chris Forman & D. J. Wu, 2016. "Proactive Customer Education, Customer Retention, and Demand for Technology Support: Evidence from a Field Experiment," Manufacturing & Service Operations Management, INFORMS, vol. 18(1), pages 34-50, February.
    22. Moulton, Brent R, 1990. "An Illustration of a Pitfall in Estimating the Effects of Aggregate Variables on Micro Unit," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 334-338, May.
    23. Meyer, Bruce D, 1995. "Natural and Quasi-experiments in Economics," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 151-161, April.
    24. Gonca Soysal & Alejandro Zentner & Zhiqiang (Eric) Zheng, 2019. "Physical Stores in the Digital Age: How Store Closures Affect Consumer Churn," Production and Operations Management, Production and Operations Management Society, vol. 28(11), pages 2778-2791, November.
    25. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
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