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A global approach to the analysis of user behavior in mobile payment systems in the new electronic environment

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  • Francisco Liébana-Cabanillas

    (University of Granada)

  • Francisco Muñoz-Leiva

    (University of Granada)

  • J. Sánchez-Fernández

    (University of Granada)

Abstract

Mobile devices and social media have led to a profound revolution of modern society, obliging many companies to reorient their sales systems towards more successful commercial formats (mobile commerce and social commerce). The mobile payment, for instance, as an emerging and supplementary service to these new commercial formats, is now undergoing the adoption process. Mobile payment has long been discussed, but it has not yet reached the usage levels expected by the different mass market players (financial institutions, telephone operators, etc.) in Western societies. The purpose of this paper is to analyze users’ acceptance of mobile payment systems on social networks. In order to explain acceptance, we have integrated trust and perceived risk into the traditional TAM model. To complete this study, we have established the decisive factors of this payment system by analyzing user’s gender, age and experience level. The study was conducted through an online survey among a national panel composed by 2.012 social network users. The results of this research support previous studies and provide alternatives for companies to consolidate this new business model by means of the new technical developments.

Suggested Citation

  • Francisco Liébana-Cabanillas & Francisco Muñoz-Leiva & J. Sánchez-Fernández, 2018. "A global approach to the analysis of user behavior in mobile payment systems in the new electronic environment," Service Business, Springer;Pan-Pacific Business Association, vol. 12(1), pages 25-64, March.
  • Handle: RePEc:spr:svcbiz:v:12:y:2018:i:1:d:10.1007_s11628-017-0336-7
    DOI: 10.1007/s11628-017-0336-7
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    1. Se-Joon Hong & Kar Yan Tam, 2006. "Understanding the Adoption of Multipurpose Information Appliances: The Case of Mobile Data Services," Information Systems Research, INFORMS, vol. 17(2), pages 162-179, June.
    2. Jon Hartwick & Henri Barki, 1994. "Explaining the Role of User Participation in Information System Use," Management Science, INFORMS, vol. 40(4), pages 440-465, April.
    3. Hajli, Nick & Sims, Julian, 2015. "Social commerce: The transfer of power from sellers to buyers," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 350-358.
    4. Satorra, Albert, 2002. "Asymptotic Robustness In Multiple Group Linear-Latent Variable Models," Econometric Theory, Cambridge University Press, vol. 18(2), pages 297-312, April.
    5. Thomas F. Stafford & Aykut Turan & Mahesh S. Raisinghani, 2004. "International and Cross-Cultural Influences on Online Shopping Behavior," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 7(2), pages 70-87, April.
    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. Porter, Constance Elise & Donthu, Naveen, 2006. "Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics," Journal of Business Research, Elsevier, vol. 59(9), pages 999-1007, September.
    8. Agrebi, Sinda & Jallais, Joël, 2015. "Explain the intention to use smartphones for mobile shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 22(C), pages 16-23.
    9. Marios Koufaris, 2002. "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior," Information Systems Research, INFORMS, vol. 13(2), pages 205-223, June.
    10. 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.
    11. Gefen, David & Straub, Detmar W., 2004. "Consumer trust in B2C e-Commerce and the importance of social presence: experiments in e-Products and e-Services," Omega, Elsevier, vol. 32(6), pages 407-424, December.
    12. Sultan, Fareena, 2002. "Consumer response to the Internet: an exploratory tracking study of on-line home users," Journal of Business Research, Elsevier, vol. 55(8), pages 655-663, August.
    13. 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.
    14. Lee, Yong-Ki & Park, Jong-Hyun & Chung, Namho & Blakeney, Alisha, 2012. "A unified perspective on the factors influencing usage intention toward mobile financial services," Journal of Business Research, Elsevier, vol. 65(11), pages 1590-1599.
    15. 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.
    16. 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.
    17. Anis Khedhaouria & Adel Beldi, 2014. "Perceived Enjoyment and the Effect of Gender on Continuance Intention for Mobile Internet Services," Post-Print hal-02047874, HAL.
    18. Silvia Sanz-Blas & Carla Ruiz-Mafé & Isabel Pérez Perez, 2014. "Key drivers of services website loyalty," The Service Industries Journal, Taylor & Francis Journals, vol. 34(5), pages 455-475, March.
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