A model of consumer acceptance of mobile payment

International Journal of Mobile Communications

Volumn 6, Issue 1, 2008, Pages 32-52

  Chen, Lei Da ^a  

^a CREIGHTON UNIVERSITY   (United States)

Author keywords

Consumer acceptance; Mobile commerce; Mobile payment; Near field communication

Indexed keywords

CUSTOMER SATISFACTION; DATA ACQUISITION; MOBILE DEVICES;

INNOVATION DIFFUSION THEORY (IDT); MOBILE PAYMENT; TECHNOLOGY ACCEPTANCE MODEL (TAM);

MOBILE TELECOMMUNICATION SYSTEMS;

EID: 37849041287     PISSN: 1470949X     EISSN: None     Source Type: Journal    
DOI: 10.1504/IJMC.2008.015997     Document Type: Article

References (63)

1. Anderson, J.C. and Gerbing, D.W. (1988) 'Structural equation modeling in practice: a review and recommended two-step approach', Psychological Bulletin, Vol. 103, pp.411-423.
2. Balasubramanian, S., Peterson, R.A. and Jarvenpaa, S.L. (2002) 'Exploring the implications of m-commerce for markets and marketing', Journal of the Academy of Marketing Science, Vol. 30, pp.348-361.
3. Bentler, P.M. (1988) 'Causal modeling via structural equation systems', in J.R. Nesselroade and R.B. Cattell (Eds), Handbook of Multivariate Experimental Psychology, 2nd edn (pp.317-335). New York: Plennum.
4. Bentler, P.M. (1992) 'On the fit of models to covariances and methodology to the bulletin', Psychological Bulletin, Vol. 112, pp.400-404.
5. Bentler, P.M. and Bonnet, D.G. (1980) 'Significance tests and goodness-of-fit in the analysis of covariance structure', Psychological Bulletin, Vol. 88, pp.588-606.
6. Browne, M. and Cudeck, R. (1993) 'Alternative ways of assessing model fit', in K.A. Bollen and J.S. Long (Eds), Testing Structural Equation Models (pp. 136-162). Newbury Park, CA: Sage.
7. Byrne, B.M. (1998) Structural Equation Modeling with LISREL, PRELIS, and SIMPLIS: Basic Concepts, Applications, and Programming. Mahwah, NJ: Lawrence Erlbaum Associates.
8. Chain Store Age (2006) 'Cell-phone payment pilot kicks off, Chain Store Age, p. 166.
9. Chen, L., Gillenson, M.L. and Sherrell, D.L. (2004) 'Consumer acceptance of virtual stores: a theoretical model and critical success factors', Data Base, Vol. 35, pp.8-31.
10. Chen, L. and Nath, R. (2004) 'A framework for mobile business applications', Int. J. Mobile Communications, Vol. 2, pp.368-381.
11. Chou, Y., Lee, C. and Chung, J. (2004) 'Understanding m-commerce payment systems through the analytic hierarchy process', Journal of Business Research, Vol. 57, pp. 1423-1430.
12. Credit Management. (2005) 'Identity then fears rise', Credit Management, June, p. 16.
13. Davis, F.D. (1989) 'Perceived usefulness, perceived ease of use, and user acceptance of information technology', MIS Quarterly, Vol. 13, pp.319-340.
14. Davis, F.D., Bagozzi, R.P. and Warshaw, P.R. (1989) 'User acceptance of computer technology: a comparison of two theoretical models', Management Science, Vol. 35, pp.982-1003.
15. Devaraj, S., Fan, M. and Kohli, R. (2002) 'Antecedents of B2C channel satisfaction and preference: validation e-commerce metrics', Information Systems Research, Vol. 13, pp.316-333.
16. Economist (2005) 'Pay with a wave of your phone', Economist, Vol. 376, p.71.
17. Edgar, Dunn & Company and Mobile Payments World Magazine (2007) '2007 mobile financial services study', Edgar, Dunn & Company, Available at: http://www.degardunn.com/uploads/ 100051_Mobile2007/100199.pdf. Accessed on 21 March 2007.
18. Gefen, D. and Straub, D.W. (1997) 'Gender differences in the perception and use of e-mail: an extension to the technology acceptance model', MIS Quarterly, Vol. 21, pp.389-400.
19. Gefen, D. and Straub, D.W. (2000) 'The relative importance of perceived, ease of use in IS adoption: a study of e-commerce adoption', Journal of the Association for Information Systems, Vol. 1, article 8.
20. Gibbs, C (2006) 'M-payment moves beyond passing curiosity', RCR Wireless News, Vol. 25, p.8.
21. Herzberg, A. (2003) 'Payments and banking with mobile personal devices', Communications of the ACM, Vol. 46, pp.53-58.
22. Hu, P.J., Chau, Y.K., Sheng, O.R. and Tam., KY. (1999) 'Examining the technology acceptance model using physician acceptance of telemedicine technology', Journal of Management Information Systems, Vol. 16, pp.91-112.
23. Igbaria, M., Guimaraes, T. and Gordon, D.B. (1995) 'Testing the determinants of microcomputer usage via a structural equation model', Journal of Management Information Systems, Vol. 11, pp.87-114.
24. Igbaria, M., Zinatelli, N., Cragg, N. and Cavaye, A. (1997) 'Personal computing acceptance factors in small firms: a structural equation model', MIS Quarterly, Vol. 21, pp.279-305.
25. Joreskog, K.G. (1993) 'Testing structural equation models', in K.A. Bollen and J.S. Long (Eds), Testing Structural Equation Models (pp.294-316). Newbury Park, CA: Sage.
26. Juniper Research (2004) 'Global m-commerce revenue projections for 2009', ePaynews.com, Available at: http://www.epaynews.com/statistics/ mcommstats.html, Accessed on 21 March 2007.
27. Karahanna, E., Straub, D.W. and Chervany, N.L. (1999) 'Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs', MIS Quarterly, Vol. 23, pp.183-213.
28. Koivumaki, T., Ristola, A. and Kesti, M. (2006) 'Predicting consumer acceptance in mobile services: empirical evidence from an experimental end user environment', Int. J. Mobile Communications, Vol. 4, pp.418-435.
29. Koufaris, M. (2002) 'Applying the technology acceptance model and flow theory to online consumer behavior', Information Systems Research, Vol. 13, pp.205-223.
30. Laukkanen, T. (2007) 'Measuring mobile banking customers' channel attribute preferences in service consumption', Int. J. Mobile Communications, Vol. 5, pp. 123-138.
31. Leung, K. and Antypas, J. (2001) 'Improving returns on m-commerce investments,' Journal of Business Strategy, Vol. 22, pp. 12-16.
32. Lu, J., Wang, L.Z. and Yu, C.S. (2007) 'Is TAM for wireless mobile data services applicable in China? A survey report from Zhejiang, China', Int. J. Mobile Communications, Vol. 5, pp. 11-31.
33. Mallat, N., Rossi, M. and Tuunainen, V.K. (2004) 'Mobile banking services', Communications of the ACM, Vol. 47, pp.42-46.
34. Malykhina, E. (2006) 'Will the U.S. embrace cell-phone-as-wallet?', Bank Systems & Technology, Vol.43, p.23.
35. Marsh, H.W. and Hocevar, D. (1985) 'Application of confirmatory factor analysis to the study of self-concept: first- and second-order factor models and their invariance across groups', Psychological Bulletin, Vol. 97, pp.562-582.
36. Moore, G.C. and Benbasat, I. (1991) 'Development of an instrument to measure the perceptions of adopting an information technology innovation', Information System Research, Vol. 2, pp. 192-222.
37. Moore, G.C. and Benbasat, I. (1996) 'Integrating diffusion of innovations and theory of reasoned action models to predict utilization of information technology by end-users', in K. Kautz and J. Pries-Heje (Eds), Diffusion and Adoption of Information Technology (pp.132-146). London: Chapman and Hall.
38. Munro, M. (2006) 'Mobile phone primed for contactless payment', Telecommunications Magazine, April, pp. 12-13.
39. New Media Age (2004) 'M-payment predicted to be worth £20bn by 2008', New Media Age, May 8, p.11.
40. Norton, K. (2006) 'Contactless payment comes to cell phones', Business Week Online, 11/22, p.25.
41. Ondrus, J. and Pigneur, Y. (2006) 'Towards a holistic analysis of mobile payments: a multiple perspectives approach', Electronic Commerce Research & Applications, Vol. 5, pp.246-257.
42. Pavlou, P.A. (2003) 'Consumer acceptance of electronic commerce: integrating trust and risk with the technology acceptance model', Int. J. Electronic Commerce, Vol. 7, pp. 101-134.
43. Riell, H. (2002) 'Transaction ease and speed: cashless payment', Food Service Director, Vol. 15, p.99.
44. Rogers, E.M. (1962) The Diffusion of Innovations, 1st edn. New York: Free Press.
45. Rogers, E.M. (1983) The Diffusion of Innovations, 3rd edn. New York: Free Press.
46. Rogers, E.M. (1995) The Diffusion of Innovations, 4th edn. New York: Free Press.
47. Shin, B. and Lee, H.G. (2005) 'Ubiquitous computing-driven business models: a case of SK Telecom's financial services', Electronic Markets, Vol. 15, pp.4-12.
48. Smith, A.D. (2006) 'Exploring m-commerce in terms of viability, growth and challenges', Int. J. Mobile Communications, Vol. 4, pp.682-703.
49. Smith, B. (2007) 'Mobile phones as credit cards', Wireless Week, January 15, pp.10, 17.
50. Smith, J.H. (2004) 'Information privacy and its management', MZS Quarterly Executive, Vol. 3, pp.201-213.
51. Smith, H.J., Milberg, S.J. and Burke, S.J. (1996) 'Information privacy: measuring individuals' concerns about organizational practices', MIS Quarterly, Vol. 20, pp. 167-196.
52. Sraeel, H. (2007) 'Hold the phone: mobile commerce's here', USBanker, Vol. 117, p.8.
53. Suh, B. and Han, I. (2003) 'The impact of customer trust and perception of security control on the acceptance of electronic commerce', Informational Journal of Electronic Commerce, Vol. 7, pp.135-161.
54. Sullivan, L. (2005) 'Atlanta sports fans test cell phone payment service', Available at: http://internetweek.cmp.com/showArticle.jhtml?articleId= 175003712. Accessed, on 23 March 2007.
55. Sun, S.Y., Ju, T.L. and. Su, C.F. (2006) 'A comparative study of value-added mobile services in Finland and Taiwan', Int. J. Mobile Communications, Vol. 4, pp.436-458.
56. Taylor, S. and Todd, P. (1995) 'Assessing IT usage: the role of prior experience', MIS Quarterly, Vol. 19, pp.561-570.
57. Tornatzky, L.G. and Klein, J.K. (1982) 'Innovation characteristics and innovation adoption-implementation: a meta-analysis of findings', IEEE Transactions on Engineering Management, Vol. 29, pp.28-45.
58. Tower Group (2007) 'Users of wireless financial services in world regions, 2000-05', ePaynews.com, Available at: http://www.epaynews.com/ statistics/mcommstats.html. Accessed on 21 March 2007.
59. Varshney, U. (2003) 'Wireless I: mobile and wireless information systems: applications, networks, and research problems', Communications of the Association for Information Systems, Vol. 12, pp. 155-166.
60. Venkatesh, V., Morris, M.G., Davis, G.B. and Davis, F.D. (2003) 'User acceptance of information technology: toward a unified, view', MIS Quarterly, Vol. 27, pp.425-478.
61. Wixom, B.H. and Todd, P.A. (2005) 'A theoretical integration of user satisfaction and technology acceptance', Information Systems Research, Vol. 16, pp.85-102.
62. Yu, J.L., Liu, C. and Yao, J.E. (2003) 'Technology acceptance model for wireless internet', Internet Research, Vol. 13, pp.206-222.
63. Zaltman, G. and Stiff, R. (1973) "Theory of diffusion', in S. Ward and T.S. Robertson (Eds), Consumer Behavior: Theoretical Sources (pp.416-468). Englewood Cliffs, NJ: Prentice-Hall.