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A multi-analytical approach to peer-to-peer mobile payment acceptance prediction

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  • Kalinic, Zoran
  • Marinkovic, Veljko
  • Molinillo, Sebastián
  • Liébana-Cabanillas, Francisco

Abstract

This research is a pioneering study into peer-to-peer mobile payment (P2PM-pay) systems' adoption. It proposes a behavioral model of the use of P2PM-pay systems and identifies the key antecedents of the customer's intention to use. Using a two-stage approach, the research model is assessed with data collected through an online survey from a sample of 701 respondents. In the first step, structural equation modeling (SEM) is used to determine P2P mobile payment acceptance predictors. In the second step, neural network models are used to rank the relative influence of significant predictors obtained from the SEM. The results show that consumers perceive the usefulness of P2PM-pay as the most important factor influencing their decision to adopt this innovative technology. The significant impact of social norms and perceived trust are also corroborated. The paper provides important strategic guidelines for the management of companies involved in the development and implementation of P2PM-pay systems.

Suggested Citation

  • Kalinic, Zoran & Marinkovic, Veljko & Molinillo, Sebastián & Liébana-Cabanillas, Francisco, 2019. "A multi-analytical approach to peer-to-peer mobile payment acceptance prediction," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 143-153.
  • Handle: RePEc:eee:joreco:v:49:y:2019:i:c:p:143-153
    DOI: 10.1016/j.jretconser.2019.03.016
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    1. 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.
    2. Iviane Ramos-de-Luna & Francisco Montoro-Ríos & Francisco Liébana-Cabanillas, 2016. "Determinants of the intention to use NFC technology as a payment system: an acceptance model approach," Information Systems and e-Business Management, Springer, vol. 14(2), pages 293-314, May.
    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    4. Fei Gao & Pei-Luen Patrick Rau & Yubo Zhang, 2017. "Perceived Mobile Information Security and Adoption of Mobile Payment Services in China," International Journal of Mobile Human Computer Interaction (IJMHCI), IGI Global, vol. 9(1), pages 45-62, January.
    5. Midgley, David F & Dowling, Grahame R, 1978. "Innovativeness: The Concept and Its Measurement," Journal of Consumer Research, Oxford University Press, vol. 4(4), pages 229-242, March.
    6. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    7. Kim, Jiyoung & Jin, Byoungho & Swinney, Jane L., 2009. "The role of etail quality, e-satisfaction and e-trust in online loyalty development process," Journal of Retailing and Consumer Services, Elsevier, vol. 16(4), pages 239-247.
    8. Chong, Alain Yee-Loong, 2013. "Mobile commerce usage activities: The roles of demographic and motivation variables," Technological Forecasting and Social Change, Elsevier, vol. 80(7), pages 1350-1359.
    9. Filieri, Raffaele & Alguezaui, Salma & McLeay, Fraser, 2015. "Why do travelers trust TripAdvisor? Antecedents of trust towards consumer-generated media and its influence on recommendation adoption and word of mouth," Tourism Management, Elsevier, vol. 51(C), pages 174-185.
    10. Alalwan, Ali Abdallah & Baabdullah, Abdullah M. & Rana, Nripendra P. & Tamilmani, Kuttimani & Dwivedi, Yogesh K., 2018. "Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust," Technology in Society, Elsevier, vol. 55(C), pages 100-110.
    11. Natarajan, Thamaraiselvan & Balasubramanian, Senthil Arasu & Kasilingam, Dharun Lingam, 2017. "Understanding the intention to use mobile shopping applications and its influence on price sensitivity," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 8-22.
    12. Gefen, David, 2000. "E-commerce: the role of familiarity and trust," Omega, Elsevier, vol. 28(6), pages 725-737, December.
    13. Chanchai Phonthanukitithaworn & Carmine Sellitto & Michelle W. L. Fong, 2016. "A Comparative Study of Current and Potential Users of Mobile Payment Services," SAGE Open, , vol. 6(4), pages 21582440166, November.
    14. Liébana-Cabanillas, Francisco & Marinkovic, Veljko & Ramos de Luna, Iviane & Kalinic, Zoran, 2018. "Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 117-130.
    15. Yee-Loong Chong, Alain & Liu, Martin J. & Luo, Jun & Keng-Boon, Ooi, 2015. "Predicting RFID adoption in healthcare supply chain from the perspectives of users," International Journal of Production Economics, Elsevier, vol. 159(C), pages 66-75.
    16. Johnson, Devon & Grayson, Kent, 2005. "Cognitive and affective trust in service relationships," Journal of Business Research, Elsevier, vol. 58(4), pages 500-507, April.
    17. 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.
    18. Chiung-Ju Liang & Wen-Hung Wang, 2006. "The behavioural sequence of the financial services industry in Taiwan: Service quality, relationship quality and behavioural loyalty," The Service Industries Journal, Taylor & Francis Journals, vol. 26(2), pages 119-145, March.
    19. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    20. 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.
    21. Amit Shankar & Biplab Datta, 2018. "Factors Affecting Mobile Payment Adoption Intention: An Indian Perspective," Global Business Review, International Management Institute, vol. 19(3_suppl), pages 72-89, June.
    22. Liébana-Cabanillas, Francisco & Molinillo, Sebastian & Ruiz-Montañez, Miguel, 2019. "To use or not to use, that is the question: Analysis of the determining factors for using NFC mobile payment systems in public transportation," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 266-276.
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