Investigating American iPhone Users’ Intentions to Use NFC Mobile Payments in Hotels
Recently, a series of events (e.g., Near Field Communication (NFC) hardware becoming mainstream, the deadline given to merchants to accept EMV (chip-based) cards) precipitated the development of an infrastructure that increasingly accommodates NFC mobile payments (NFC-MP) in the U.S. Within the landscape of the American NFC-MP, an important role is occupied by the Apple NFC-MP ecosystem. Drawing from the neo-classic technology adoption and regulatory focus theory, this study developed a conceptual model that explicates iPhone users’ intentions to use NFC-MP in hotels. Using data collected from a sample of 347 U.S. iPhone users, the model was validated empirically, providing a mapping of the factors that influence intentions to use NFC-MP in hotels. The study validated hedonic motivation and performance expectancy as the most critical predictors of intentions, and recognized the more modest roles of privacy concerns and prevention focus in influencing intentions.
KeywordsMobile payments Technology adoption Regulatory focus Privacy Hotels
This research has been conducted with the support of Hospitality Financial and Technology Professionals (HFTP).
- Apple (2015). Apple Pay. Your wallet. Without the Wallet. Retrieved on August 1, 2015 from https://www.apple.com/apple-pay/.
- Ary, D., Jacobs, L., & Razavieh, A. (1996). Introduction to research in education (5th ed.). Ft. Worth: Holt, Rinehart, and Winston, Inc.Google Scholar
- Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information Systems, 8(4), 244–254.Google Scholar
- Benbasat, I., & Barki, H. (2007). Quo vadis, TAM? Journal of the Association of Information Systems, 8(4), 211–218.Google Scholar
- Dwivedi, Y. K., Shareef, M. A., Simintiras, A. C., Lal, B., & Weerakkody, V. (2015). A generalized adoption model for services: A cross-country comparison of mobile health (m-health). Government Information Quarterly, in press.Google Scholar
- Hair, J. F., Black, W. C., Babin, B. B., & Anderson, R. E. (2009). Multivariate data analysis (7th ed.). Upper Saddle River, NJ: Prentice Hall.Google Scholar
- Heun, D. (2015). Is Apple Pay’s rising tide sinking other ships? PaymentsSource. Retrieved on August 1, 2015 from http://www.paymentssource.com/news/technology/is-apple-pays-rising-tide-sinking-other-ships-3020434-1.html.
- Hof, R. (2015). Apple Pay starts to take off, leaving competition in the dust. Forbes/Tech. Retrieved on August 1, 2015 from http://www.forbes.com/sites/roberthof/2015/01/27/apple-pay-starts-to-take-off-leaving-competition-in-the-dust/.
- Kassner, M. (2014). Apple Pay: More secure or just different? TechRepublic. Retrieved on May 20, 2015 from http://www.techrepublic.com/article/apple-pay-more-secure-or-just-different/.
- Liébana-Cabanillas, F., Sánchez-Fernández, J., & Munoz-Leiva, F. (2014). The moderating effect of experience in the adoption of mobile payment tools in Virtual Social Networks: The m-Payment Acceptance Model in Virtual Social Networks (MPAM-VSN). International Journal of Information Management, 34, 151–166.CrossRefGoogle Scholar
- Muthén, L. K., & Muthén, B. O. (2007). Mplus user’s guide (5th ed.). Los Angeles, CA: Muthén & Muthén.Google Scholar
- Perez, S. (2014). iTunes App Store Now Has 1.2 Million Apps, Has Seen 75 Billion Downloads To Date. TechCrunch, Retrieved August 1, 2015 from http://techcrunch.com/2014/06/02/itunes-app-store-now-has-1-2-million-apps-has-seen-75-billion-downloads-to-date/.
- Toh, R. S., Lee, E., & Hu, M. Y. (2006). Social desirability bias in diary panels is evident in panelists’ behavioral frequency. Psychological Reports, 99, 322–334.Google Scholar
- Venkatesh, V., Thong, J., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178.Google Scholar