Predicting the determinants of the NFC-enabled mobile credit card acceptance: A neural networks approach

Expert Systems with Applications

Volumn 40, Issue 14, 2013, Pages 5604-5620

  Leong, Lai Ying ^a   Hew, Teck Soon ^b   Tan, Garry Wei Han ^a   Ooi, Keng Boon ^c  

^a UNIVERSITI TUNKU ABDUL RAHMAN   (Malaysia)

^b UNIVERSITY OF MALAYA   (Malaysia)

^c Linton University College   (Malaysia)

Author keywords

Artificial neural networks; Mobile credit card; Mobile payment Trust; Near Field Communication (NFC)

Indexed keywords

BEHAVIORAL CONTROL THEORIES; CREDIT CARDS; DECISION MAKING PROCESS; MANUFACTURING INDUSTRIES; MOBILE PAYMENT; MOBILE TELECOMMUNICATIONS; NEAR FIELD COMMUNICATIONS; PERSONAL INNOVATIVENESS;

COMMUNICATION SYSTEMS; DECISION MAKING; INFORMATION TECHNOLOGY; MANAGERS; NEURAL NETWORKS;

ECONOMIC AND SOCIAL EFFECTS;

EID: 84878088979     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2013.04.018     Document Type: Article

References (90)

1. R. Agarwal, and J. Prasad A conceptual and operational definition of personal innovativeness in the domain of information technology Information Systems Research 9 2 1998 204 215
2. R. Agarwal, and J. Prasad Are individual differences germane to the acceptance of new information technologies? Decision Sciences 30 2 1999 361 391
3. I. Ajzen The theory of planned behavior Organisational Behaviour and Human Decision Processes 50 2 1991 179 211
4. I. Ajzen From intentions to actions: A theory of planned behavior J. Kuhl, J. Beckman, Action-control: From cognition to behavior 1985 Springer Heidelberg 11 39
5. Akour, H. (2009). Determinant of mobile learning acceptance: An empirical investigation in higher education. Published PhD thesis, Oklahoma State University, US.
6. H. Amin An analysis of mobile credit card usage intentions Information Management & Computer Security 15 4 2007 260 269 (Pubitemid 47261442)
7. J.C. Anderson, and D.W. Gerbing Structural equation modeling in practice: A review and recommended two-step approach Psychological Bulletin 103 3 1988 411 423
8. Antoine, P. (2004). Understanding the mobile phone market drivers. Alcatel Telecommunications Review; 4th Quarter 2003/1st Quarter 2004, pp. 1-7.
9. R.P. Bagozzi, J. Baumgatner, and Y. Yi An investigation into the role of intentions as mediators of the attitude-behavior relationship Journal of Economic Psychology 10 1 1989 35 62
10. R.P. Bagozzi, and Y. Yi On the evaluation of structural equation model Journal of Academy of Marketing Science 16 1 1988 74 94
11. N.S. Baron, and D.A. Kenny The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations Journal of Personality and Social Psychology 51 6 1986 1173 1182
12. P. Bharati, and A. Chaudhury An empirical investigation of decision-making satisfaction in web-based decision support systems Decision Support Systems 3 2 2004 187 197
13. Bradford, T., & Hayashi, F. (2007). Complex landscapes: Mobile payments in Japan, South Korea and the United States, Payments System Research Briefing. The Federal Reserve Bank of Kansas City. Available at: http://www.kc.frb.org/PUBLICAT/PSR/Briefings/PSR-BriefingSept07.pdf (accessed on 18 January, 2012).
14. M.W. Browne, and R. Cudeck Alternative ways of assessing model fit 1993 Sage Newbury Park, CA
15. B.M. Byrne Structural equation modeling with AMOS: Basic concepts, applications, and programming 2001 Lawrence Erlbaum Associates Mahwah, NJ
16. C.F. Chen, and C.P. Chen Applying the TAM to travelers' usage intentions of GPS devices Expert Systems with Applications 38 5 2011 6217 6221
17. W.K. Chiang, D. Zhang, and L. Zhou Predicting and explaining patronage behavior toward web and traditional stores using neural networks: A comparative analysis with logistic regression Decision Support Systems 41 2 2006 514 531 (Pubitemid 41808451)
18. Chidembo, N. (2009). Exploring consumer adoption of NFC-enabled mobile payments in South Africa. Published master thesis, University of Pretoria, South Africa
19. A.Y.L. Chong A two-staged SEM-neural network approach for understanding and predicting the determinants of m-commerce adoption Expert Systems with Applications 40 4 2013 1240 1247
20. A.Y.L. Chong Predicting m-commerce adoption determinants: A neural network approach Expert Systems with Applications 40 2 2013 523 530
21. A.Y.L. Chong, and F.T.S. Chan Structural equation modeling for multi-stage analysis on Radio Frequency Identification (RFID) diffusion in the health care industry Expert Systems with Applications 39 10 2012 8645 8654
22. T. Dahlberg, N. Mallat, J. Ondrus, and A. Zmijewska Past, present and future of mobile payments research: A literature review Electronic Commerce Research and Applications 7 2 2008 165 181 (Pubitemid 351718565)
23. F.D. Davis Perceived usefulness, perceived ease of use, and user acceptance of information technology MIS Quarterly 13 3 1989 319 349
24. F.D. Davis, R.P. Bagozzi, and P.R. Warshaw Extrinsic and intrinsic motivation to use computers in the workplace Journal of Applied Social Psychology 22 14 1992 1111 1132
25. S.G. Dewan, and L.D. Chen Mobile payment adoption in the USA: A cross-industry, cross-platform solution Journal of Information Privacy & Security 1 2 2005 4 28
26. Finextra (2004). Motorola and MasterCard to trial contactless mobile payments. Available from: (accessed on 9 March, 2012).
27. Finextra (2006). MasterCard to trial mobile phone payment technology in Dallas. Available from: (accessed on 9 March, 2012).
28. M. Fishbein, and I. Ajzen Belief, attitude, intention, and behavior: An introduction to theory and research 1975 Addison-Wesley Reading, MA
29. C. Fornell, and D.F. Larcker Evaluating structural equation models with unobservable variables and measurement error Journal of Marketing Research 18 1 1981 39 50
30. D. Gefen, D.W. Straub, and M.C. Boudreau Structural equation modeling and regression: Guidelines for research practice Communications of the Association for Information Systems 4 7 2000 1 79
31. T. Gerpott, and K. Kornmeier Determinants of customer acceptance of mobile payment systems International Journal of Electronic Finance 3 1 2009 1 30
32. A. Ghezzi, F. Renga, R. Balocco, and P. Pescetto Mobile payment applications: Offer state of the art in the Italian market Info 12 5 2010 3 22
33. Global Information Inc. (2011), Mobile Payments 2012-2016. Available from: (accessed on 28 February, 2012).
34. P. Guriting, and N.O. Ndubisi Borneo online banking: Evaluating customer perceptions and behavioural intention Management Research News 29 1/2 2006 6 15
35. I. Ha, Y. Yoon, and M. Choi Determinants of adoption of mobile games under mobile broadband wireless access environment Information & Management 44 3 2007 276 286 (Pubitemid 46702399)
36. M.S. Hagger, N.L.D. Chatzisarantis, and S.J.H. Biddle A meta-analytic review of the theories of reasoned action and Planned Behavior in physical activity: An examination of predictive validity and the contribution of additional variables Journal of Sport and Exercise Psychology 24 1 2002 3 32
37. Hair, Jr. J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: A global perspective (7th ed.). Upper Saddle. River, NJ: Prentice Hall.
38. S. Haykin Neural networks: A comprehensive foundation 2001 Prentice Hall Englewood Cliffs, NJ
39. He, F. (2009). Decision factors for the adoption of e-finance and other e-commerce activities. Published PhD Thesis, Southern Illinois University Carbondale, USA.
40. B. Hernandez, J. Jemenez, and M.J. Martin Age, gender and income: Do they really moderate online shopping behaviour? Online Information Review 35 1 2011 113 133
41. T.S. Hew, and L.Y. Leong An empirical analysis of Malaysian pre-university students' ICT competency gender differences International Journal of Network and Mobile Technologies 2 1 2011 15 29
42. IEMR (2012). Global mobile payment market revenues to rise to $998.5 billion in 2016, a CAGR of 83.7%. Available from: (accessed on 12 March, 2012).
43. Innopay (2012). Mobile payments 2012 - My mobile, my wallet? Available from: http://www.google.com.my/url?sa=t&rct=j&q=&esrc=s&frm= 1&source=web&cd=11&ved=0CCEQFjAAOAo&url=http%3A%2F%2Fwww. mobeyforum. org%2Fcontent%2Fdownload%2F16699%2F175936%2Ffile%2FMobile%2520payments%25202012- Innopay-v1.0.pdf&ei=26thT-e5KYjqrAeK7viOCA&usg=AFQjCNEQkoVatd93W- JKB7vG2GYQa910aw> (accessed on 2 March, 2012).
44. K. Jöreskog, and D. Sörbom LISREL 8: Structural Equation Modeling with the SIMPLIS Command Language 1993 Scientific Software International Inc. Chicago, IL
45. K. Jöreskog, and D. Sörbom Structural equation modeling with the SIMPLIS command language 1994 Scientific Software International Chicago, IL
46. D.A. Kenny, D.A. Kashy, and N. Bolger Data analysis in social psychology D.T. Gilbert, S.T. Fiske, G. Lindzey, The handbook of social psychology 1998 Oxford University Press New York 233 265
47. King, R., & Gribbins, M. (2002). Internet technology adoption as an organizational event: An exploratory study across industries. Paper presented at the 35th Annual Hawaii International Conference on System Sciences (HICSS'02), (Vol. 7, p. 201). Available from: http://csdl2.computer.org/comp/proceedings/ hicss/2002/1435/07/14350201.pdf (accessed on 3 March, 2012).
48. R.B. Kline Principles and practice of structural equation modeling 2nd ed. 2005 The Guilford Press NY
49. A.L. Lederer, D.J. Maupin, M.P. Sena, and Y. Zhuang The technology acceptance model and the World Wide Web Decision Support Systems 29 3 2000 269 282
50. M.C. Lee Understanding the behavioural intention to play online games: An extension of the theory of planned behaviour Online Information Review 33 5 2009 849 872
51. Leong, L. (2003). Theoretical models in IS research and the technology acceptance model (TAM). In C. Davis (Ed.), Technologies & Methodologies for Evaluating Information Technology in Business (pp. 1-31), Hershey, PA: IRM Press. Available from: (accessed on 10 February, 2012).
52. L.Y. Leong, T.S. Hew, K.B. Ooi, and B. Lin Influence of gender and English proficiency on Facebook mobile adoption International Journal of Mobile Communications 9 5 2011 495 521
53. L.Y. Leong, T.S. Hew, K.B. Ooi, and B. Lin The determinants of customer loyalty in Malaysian mobile telecommunication services: a structural analysis International Journal Services, Economics and Management 4 3 2012 209 235
54. L.Y. Leong, K.B. Ooi, A.Y.L. Chong, and B. Lin Influence of individual characteristics, perceived usefulness and ease of use on mobile entertainment adoption International Journal of Mobile Communications 9 4 2011 359 382
55. Liang, T. P., Chen, H. Y., & Turban, E. (2009). Effect of personalization on the perceived usefulness of online customer services: A dual-core theory, International Conference on Electronic Commerce (ICEC'09), Taipei, Taiwan, 12-15 August 2009, pp. 279-288.
56. Lu, J., Yu, C. S., & Liu, C. (2006). Gender and age differences in individual decisions about wireless mobile data services: A report from China. China Mobile Value Added Services Analysis Report, January 2006.
57. Madlmayr, G. (2008). A mobile trusted computing architecture for a near field communication ecosystem. In iiWAS '08: Proceedings of the 10th international conference on information integration Web-based applications & services (pp. 563-566).
58. Madlmayr, G., Langer, J., Kantner, C., & Scharinger, J. (2008). NFC devices: Security and privacy. In The third international conference on availability, reliability and security, Barcelona (pp. 642-647).
59. K. Mathieson Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior Information Systems Research 2 3 1991 173 191
60. S.A. Morris, T.H. Greer, C. Hughes, and W.J. Clark Prediction of CASE adoption: A neural network approach Industrial Management & Data Systems 104 2 2004 129 135
61. Near Field Communications World (2012). First commercial NFC service launched in Malaysia. Available from: (accessed on 22 March, 2012).
62. J.C. Nunnally, and I.H. Bernstein Psychometric theory 3rd ed. 1994 McGraw-Hill NY
63. T. Oliveira, and F. Martins Understanding e-business adoption across industries in European countries Industrial Management & Data Systems 110 9 2010 1337 1354
64. J.W. Ong, Y.S. Poong, and T.H. Ng 3G services adoption among university students: Diffusion of innovation theory Communications of the IBIMA 3 16 2008 114 121
65. F. Parveen, and A. Sulaiman Technology complexity, personal innovativeness and intention to use wireless Internet using mobile devices in Malaysia International Review of Business Research Papers 4 5 2008 1 10
66. P.A. Pavlou Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model International Journal of Electronic Commerce 7 3 2003 101 131
67. Payments Cards and Mobile (2012). Proxama announce collaboration with Nokia on NFC. Available from: (accessed on 16 March, 2012).
68. Preece, A. (2006). A mobile phone ecosystem: MIT and Nokia's joint research venture. Alum Preece, IEEE Intelligent Systems, 2006. Available from: (accessed on 9 March, 2012).
69. ResearchandMarkets (2010). Mobile payment technology (Near Field Communication) - Remote and proximity M-payments market forecast (2010-2015). Available from: < http://www.researchandmarkets.com/reports/1290407/mobile- payment-technology-near-field.pdf > (accessed on 26 March, 2012).
70. E.M. Rogers Diffusion of innovations 5th ed. 2003 Free Press New York
71. D. Shen, J. Laffey, Y. Lin, and X. Huang Social influence for perceived usefulness and ease of use of course delivery systems Journal of Interactive Online Learning 5 3 2006 270 282
72. D.H. Shin Modeling the interaction of users and mobile payment system: Conceptual framework International Journal of Human Computer Interaction 26 10 2010 917 940
73. G. Shmueli, and O.R. Koppius Predictive analytics in information systems research MIS Quarterly 35 3 2010 553 572
74. SPSS (2011). IBM SPSS Neural Networks 20.0. United States: SPSS Inc.
75. H. Sun, and P. Zhang The role of moderating factors in user technology acceptance International Journal of Human-Computer Studies 64 2 2006 53 78 (Pubitemid 41682003)
76. S. Taylor, and P.A. Todd Understanding information technology usage: A test of competing models Information Systems Research 6 2 1995 144 176 (Pubitemid 126102974)
77. T. Teo Examining the influence of subjective norm and facilitating conditions on intention to use technology among pre service teacher: A structural equation modeling of an extended technology acceptance model Journal of Asia Pacific Education Review 11 2 2010 253 262
78. A.C. Teo, C.M. Cheah, L.Y. Leong, T.S. Hew, and Y.L. Shum What matters most in mobile payment acceptance? A structural analysis International Journal of Network and Mobile Technologies 3 3 2012 49 69
79. T.S.H. Teo, V.K.G. Lim, and R.Y.C. Lai Intrinsic and extrinsic motivation in Internet usage Omega 27 1 1999 25 37
80. T.S.H. Teo, S. Lin, and K.H. Lai Adopters and non-adopters of e-procurement in Singapore: An empirical study Omega 37 5 2009 972 987
81. T.S.H. Teo, and Y. Pian A contingency perspective on Internet adoption and competitive advantage European Journal of Information Systems 12 2 2003 78 92 (Pubitemid 38284809)
82. V. Venkatesh, and F.D. Davis A theoretical extension of the technology acceptance model: Four longitudinal field studies Management Science 46 2 2000 186 204 (Pubitemid 30594361)
83. V. Venkatesh, M.G. Morris, G.B. Davis, and F.D. Davis User acceptance of information technology: Toward a unified view MIS Quarterly 27 3 2003 425 478
84. V. Venkatesh, J.Y.L. Thong, and X. Xu Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology MIS Quarterly 36 1 2012 157 178
85. Willis, T. J. (2008). An evaluation of the Technology Acceptance Model as a means of understanding online social networking behaviour. Graduate School Theses and Dissertations, Paper 568.
86. T.C. Wong, S.C. Ngan, F.T.S. Chan, and A.Y.L. Chong A two-stage analysis of the influences of employee alignment on effecting business-IT alignment Decision Support Systems 53 3 2012 490 498
87. www.maxis.com.my (2012). Maxis launches global-first contactless mobile payment service with Nokia, Visa, Maybank and Touch 'n go. Available from: (accessed on 15 March, 2012).
88. www.maybank2u.com.my (2012). Maybankard Visa payWave Mobile with FastTap: The world's first multi payment NFC mobile service. Available from: (accessed on 15 March, 2012).
89. K.C.C. Yang Exploring factors affecting the adoption of mobile commerce in Singapore Telematics and Informatics 22 3 2005 257 277 (Pubitemid 40274797)
90. J. Yu, I. Ha, M. Choi, and J. Rho Extending the TAM for a t-commerce Information & Management 42 7 2005 965 976 (Pubitemid 41162399)