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Determinants of the intention to use NFC technology as a payment system: an acceptance model approach

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  • Iviane Ramos-de-Luna

    (University of Granada (UGR))

  • Francisco Montoro-Ríos

    (University of Granada (UGR))

  • Francisco Liébana-Cabanillas

    (University of Granada (UGR))

Abstract

The worldwide growth of mobile technology has enabled many companies to take advantage of its application as complementary sales tools. The main objective of this research is user acceptance analysis of near field communication mobile payment systems. Classic variables from the technology acceptance model, as well as variables from other recent studies, were used as models for this research (compatibility, security, personal innovation and individual mobility). To meet these objectives a questionnaire, filled out by 191 respondents, formed the basis of a structural equation modeling designed by PLS 3.0 software. The results show that attitude, subjective norms and innovation and are determinants of the future intention to use this technology. Finally, the main implications for corporate management and business development strategies which reinforce this type of business in light of new technical developments are discussed.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:infsem:v:14:y:2016:i:2:d:10.1007_s10257-015-0284-5
    DOI: 10.1007/s10257-015-0284-5
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    5. de Luna, Iviane Ramos & Liébana-Cabanillas, Francisco & Sánchez-Fernández, Juan & Muñoz-Leiva, Francisco, 2019. "Mobile payment is not all the same: The adoption of mobile payment systems depending on the technology applied," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 931-944.
    6. Xuechao Sui & Xianhui Geng, 2021. "Continuous usage intention to e-transaction cards in wholesale markets of agriproducts: empirical evidence from China," Future Business Journal, Springer, vol. 7(1), pages 1-13, December.
    7. Ajimon George & Prajod Sunny, 2021. "Developing a Research Model for Mobile Wallet Adoption and Usage," IIM Kozhikode Society & Management Review, , vol. 10(1), pages 82-98, January.
    8. Gang Kou & Özlem Olgu Akdeniz & Hasan Dinçer & Serhat Yüksel, 2021. "Fintech investments in European banks: a hybrid IT2 fuzzy multidimensional decision-making approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-28, December.
    9. Liébana-Cabanillas, Francisco & Japutra, Arnold & Molinillo, Sebastián & Singh, Nidhi & Sinha, Neena, 2020. "Assessment of mobile technology use in the emerging market: Analyzing intention to use m-payment services in India," Telecommunications Policy, Elsevier, vol. 44(9).
    10. Yong Liu & Meng Wang & Danyu Huang & Qiang Huang & Hua Yang & Zhigang Li, 2019. "The impact of mobility, risk, and cost on the users’ intention to adopt mobile payments," Information Systems and e-Business Management, Springer, vol. 17(2), pages 319-342, December.
    11. Volvach Olena, 2023. "Assessment of the efficiency of use of EPS by business," Economics, Sciendo, vol. 11(1), pages 233-249, June.
    12. Danilo Magno Marchiori & Silvio Popadiuk & Emerson Wagner Mainardes & Ricardo Gouveia Rodrigues, 2021. "Innovativeness: a bibliometric vision of the conceptual and intellectual structures and the past and future research directions," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 55-92, January.
    13. Zhunzhun Liu & Shenglin Ben & Ruidong Zhang, 2019. "Factors affecting consumers’ mobile payment behavior: a meta-analysis," Electronic Commerce Research, Springer, vol. 19(3), pages 575-601, September.
    14. Wang, Juite & Lai, Jung-Yu, 2020. "Exploring innovation diffusion of two-sided mobile payment platforms: A system dynamics approach," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    15. 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.
    16. 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.

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