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Determinants of the consumer’s adoption of the next-generation mobile payments and banking: a case study of the Bakong system

Author

Listed:
  • Bunhov Chov

    (Royal University of Phnom Penh)

  • Phichhang Ou

    (Royal University of Phnom Penh)

Abstract

With technological advancement, the emergence of the Internet, e-commerce, and mobile phones, business operations, and financial transactions have transformed from traditional to contactless and digital methods, especially payment systems. To facilitate contactless payment in the digital economy, Fintech and Blockchain were adopted to benefit consumers in terms of convenience, efficiency, and security in payments and banking transactions. By embracing Blockchain, the National Bank of Cambodia launched the Bakong system, the next-generation mobile payment, and banking system. However, the awareness and consumption are still not very impressive for being newly launched. This research aimed to investigate the determinants of consumers’ adoption of the Bakong system. This research developed and tested a conceptual model of adoption of Bakong by extending the Technology Acceptance Model (TAM) with additional factors. This research was conducted on 348 respondents from Phnom Penh who are aware of the Bakong system, specifically the Bakong mobile app. The Statistical Package for the Social Sciences version 25 (SPSS 25) and Analysis of Moment Structures version 23 (AMOS 23) were used to analyze the data in this study. The empirical results reveal that the evident drivers of the intention to use the Bakong system are perceived trust, perceived usefulness, price value, perceived mobility, perceived personal innovativeness, and social influence. Perceived ease of use, perceived compatibility, and perceived mobility positively predict perceived usefulness. Perceived security has a positive effect on perceived trust, and perceived personal innovativeness positively influences perceived ease of use.

Suggested Citation

  • Bunhov Chov & Phichhang Ou, 2022. "Determinants of the consumer’s adoption of the next-generation mobile payments and banking: a case study of the Bakong system," SN Business & Economics, Springer, vol. 2(10), pages 1-38, October.
    • Handle: RePEc:spr:snbeco:v:2:y:2022:i:10:d:10.1007_s43546-022-00345-9
    DOI: 10.1007/s43546-022-00345-9
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    References listed on IDEAS

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    1. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    2. Ritu Agarwal & Jayesh Prasad, 1998. "A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology," Information Systems Research, INFORMS, vol. 9(2), pages 204-215, June.
    3. Huosong Xia & Zhe Hou, 2016. "Consumer use intention of online financial products: the Yuebao example," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-12, December.
    4. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    5. Christopher R. Plouffe & John S. Hulland & Mark Vandenbosch, 2001. "Research Report: Richness Versus Parsimony in Modeling Technology Adoption Decisions—Understanding Merchant Adoption of a Smart Card-Based Payment System," Information Systems Research, INFORMS, vol. 12(2), pages 208-222, June.
    6. Jesse Yli-Huumo & Deokyoon Ko & Sujin Choi & Sooyong Park & Kari Smolander, 2016. "Where Is Current Research on Blockchain Technology?—A Systematic Review," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-27, October.
    7. Jiaxin Zhang & Yan Luximon & Yao Song, 2019. "The Role of Consumers’ Perceived Security, Perceived Control, Interface Design Features, and Conscientiousness in Continuous Use of Mobile Payment Services," Sustainability, MDPI, vol. 11(23), pages 1-16, December.
    8. Peiyu Wang, 2008. "Mobile Government: New Model for E-government in China," Modern Applied Science, Canadian Center of Science and Education, vol. 2(1), pages 1-43, January.
    9. Francisco Liébana-Cabanillas & Inmaculada García-Maroto & Francisco Muñoz-Leiva & Iviane Ramos-de-Luna, 2020. "Mobile Payment Adoption in the Age of Digital Transformation: The Case of Apple Pay," Sustainability, MDPI, vol. 12(13), pages 1-15, July.
    10. Alalwan, Ali Abdallah & Dwivedi, Yogesh K. & Rana, Nripendra P., 2017. "Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust," International Journal of Information Management, Elsevier, vol. 37(3), pages 99-110.
    11. Nicole Koenig-Lewis & Morgan Marquet & Adrian Palmer & Anita Lifen Zhao, 2015. "Enjoyment and social influence: predicting mobile payment adoption," The Service Industries Journal, Taylor & Francis Journals, vol. 35(10), pages 537-554, July.
    12. The Ninh Nguyen & Tuan Khanh Cao & Phuong Linh Dang & Hien Anh Nguyen, 2016. "Predicting Consumer Intention to Use Mobile Payment Services: Empirical Evidence from Vietnam," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 8(1), pages 117-124, February.
    13. 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.
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