Modeling Consumers' Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust

Psychology and Marketing

Volumn 32, Issue 8, 2015, Pages 860-873

  Slade, Emma L ^a   Dwivedi, Yogesh K ^a   Piercy, Niall C ^a   Williams, Michael D ^a  

^a SWANSEA UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84935045220     PISSN: 07426046     EISSN: 15206793     Source Type: Journal    
DOI: 10.1002/mar.20823     Document Type: Article

References (78)

1. Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9, 204-215.
2. Agarwal, R., & Prasad, J. (1999). Are individual differences germane to the acceptance of new information technologies? Decision Sciences, 30, 361-391.
3. Anderson, J., & Gerbing, D. (1988). Structural equation modelling in practice: A review and recommended two-step approach. Psychological Bulletin, 103, 411-423.
4. Aroean, L., & Michaelidou, N. (2014). Are innovative consumers emotional and prestigiously sensitive to price? Journal of Marketing Management, 30, 245-267.
5. Au, Y., & Kauffman, R. (2008). The economics of mobile payments: Understanding stakeholder issues for an emerging financial technology application. Electronic Commerce Research & Applications, 7, 141-164.
6. Barclays. (2014). Mobile payments. Retrieved June 1, 2014, from http://www.barclays.co.uk/MobileBankingservices/MobilePayments/P1242670219368.
7. Baron, R., & Kenny, D. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality & Social Psychology, 51, 1173-1182.
8. Cellan-Jones, R. (2012). Mobile money - Has its moment come? BBC News: Technology, February 16, 2012. Retrieved March 5, 2012, from http://www.bbc.co.uk/news/technology-17057570.
9. Centre for Retail Research. (2014). Online retailing: Britain, Europe and the US. Retrieved January 8, 2015, from http://www.retailresearch.org/onlineretailing.php.
10. Chai, J., & Dibb, S. (2014). How consumer acculturation influences interpersonal trust. Journal of Marketing Management, 30, 60-89.
11. Chandra, S., Srivastava, S., & Theng, Y.-L. (2010). Evaluating the role of trust in consumer adoption of mobile payment systems: An empirical analysis. Communications of the Association for Information Systems, 27, 561-588.
12. Chang, M.-L., & Wu, W.-Y. (2012). Revisiting perceived risk in the context of online shopping: An alternative perspective of decision-making styles. Psychology & Marketing, 29, 378-400.
13. Chen, L.-D. (2008). A model of consumer acceptance of mobile payment. International Journal of Mobile Communications, 6, 32-52.
14. Cheung, G., & Lau, R. (2008). Testing mediation and suppression effects of latent variables: Bootstrapping with structural equation models. Organizational Research Methods, 11, 296-325.
15. Chong, A. (2013). A two-staged SEM-neural network approach for understanding and predicting the determinants of m-commerce adoption. Expert Systems with Applications, 40, 1240-1247.
16. Cowart, K., Fox, G., & Wilson, A. (2008). A structural look at consumer innovativeness and self-congruence in new product purchases. Psychology & Marketing, 25, 1111-1130.
17. Davis, F. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, 13, 319-339.
18. Deutskens, E., Ruyter, K., Wetzels, M., & Oosterveld, P. (2004). Response rate and response quality of internet-based surveys: An experimental study. Marketing Letters, 15, 21-36.
19. Evans, J. R., & Mathur, A. (2005). The value of online surveys. Internet Research, 15, 195-219.
20. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39-50.
21. Ganesan, S. (1994). Determinants of long-term orientation in buyer-seller relationships. Journal of Marketing, 58, 1-19.
22. Gaur, A., & Ondrus, J. (2012). The role of banks in the mobile payment ecosystem: A strategic asset perspective. Proceedings of the 14th International Conference on Electronic Commerce, August 7-8, 2012, Singapore.
23. Gefen, D. (2002). Customer loyalty in e-commerce. Journal of the Association for Information Systems, 3, 27-51.
24. Gefen, D., Straub, D., & Boudreau, M.-C. (2000). Structural equation modelling and regression: Guidelines for research practice. Communications of the Association for Information Systems, 4, 1-70.
25. Hair, J., Black, W., Babin, B., & Anderson, R. (2006). Multivariate data analysis: A global perspective (6th ed.). London: Pearson Education.
26. Hirschman, E. (1980). Innovativeness, novelty seeking, and consumer creativity. Journal of Consumer Research, 7, 283-295.
27. Hu, L., & Bentler, P. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55.
28. Jones, W. (2014). Will bank customers PayM, Ping 'em or look for a cashpoint? Monitise, April 28, 2014. Retrieved June 1, 2014, from http://www.monitise.com/insights/2014/04/28/will-bank-customers-paym-pingem-look-cashpoint/.
29. Kapoor, K., Dwivedi, Y., & Williams, M. (2014). Examining the role of three sets of innovation attributes for determining adoption of the interbank mobile payment service. Information Systems Frontiers. doi: 10.1007/s10796-014-9484-7
30. Kim, G., Shin, B., & Lee, H. (2009). Understanding dynamics between initial trust and usage intentions of mobile banking. Information Systems Journal, 19, 283-311.
31. Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26, 310-322.
32. Ko, E., Kim, E., & Lee, E. (2009). Modeling consumer adoption of mobile shopping for fashion products in Korea. Psychology & Marketing, 26, 669-687.
33. Leong, L.-Y., Hew, T.-S., Tan, G., & Ooi, K.-B. (2013). Predicting the determinants of the NFC-enabled mobile credit card acceptance: A neural networks approach. Expert Systems with Applications, 30, 5604-5620.
34. Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2014). The moderating effect of experience in the adoption of mobile payments tool in Virtual Social Networks: The m-payment acceptance model in virtual social networks. International Journal of Information Management, 34, 151-166.
35. Lu, Y., Yang, S., Chau, P., & Cao, Y. (2011). Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective. Information & Management, 48, 393-403.
36. Luo, X., Li, H., Zhang, J., & Shim, J. (2010). Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services. Decision Support Systems, 49, 222-234.
37. Mallat, N. (2007). Exploring consumer adoption of mobile payments - A qualitative study. Journal of Strategic Information Systems, 16, 413-432.
38. Mallat, N., Rossi, M., Tuunainen, V., & Öörni, A. (2009). The impact of use context on mobile services acceptance: The case of mobile ticketing. Information & Management, 46, 190-195.
39. Mandrik, C., & Bao, Y. (2005). Exploring the concept and measurement of general risk aversion. Advances in Consumer Research, 32, 531-539.
40. Mathieu, J., & Taylor, S. (2006). Clarifying conditions and decision points for mediational type inferences in organizational behavior. Journal of Organizational Behavior, 27, 1031-1056.
41. McKnight, D., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information Systems Research, 13, 334-359.
42. McMaster, T., & Wastell, D. (2005). Diffusion or delusion? Challenging an IS research tradition. Information Technology & People, 18, 383-404.
43. Nambisan, S., & Wang, Y.-M. (1999). Roadblocks to web technology adoption. Communications of the ACM, 42, 98-101.
44. Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory. New York: McGraw-Hill.
45. Ondrus, J., Lyytinen, K., & Pigneur, Y. (2009). Why mobile payments fail? Towards a dynamic and multi-perspective explanation. 42nd Hawaii International Conference on Systems Sciences, January 5-8, 2009, Waikoloa.
46. Pavlou, P. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the Technology Acceptance Model. International Journal of Electronic Commerce, 7, 101-134.
47. Peter, J., & Tarpey, L. (1975). A comparative analysis of three consumer decision strategies. Journal of Consumer Research, 2, 29-37.
48. Pritchard, S. (2014). Ease of use will decide ewallets' fate. Financial Times, December 4, 2014. Retrieved January 18, 2015, from http://www.ft.com/cms/s/0/682b6262-7565-11e4-a1a9-00144feabdc0.html#axzz3PSLht5U5.
49. Ruvio, A., & Shoham, A. (2007). Innovativeness, exploratory behavior, market mavenship, and opinion leadership: An empirical examination in the Asian context. Psychology & Marketing, 24, 703-722.
50. Sauermann, H., & Roach, M. (2013). Increasing web survey response rates in innovation research: An experimental study of static and dynamic contact design features. Research Policy, 42, 273-286.
51. Schierz, O., Schilke, O., & Wirtz, B. (2010). Understanding consumer acceptance of mobile payment services: An empirical analysis. Electronic Commerce Research & Applications, 9, 209-216.
52. Sekhon, H., Ennew, C., Kharouf, H., & Devlin, J. (2014). Trustworthiness and trust: Influences and implications. Journal of Marketing Management, 30, 409-430.
53. Shaw, N. (2014). The mediating influence of trust in the adoption of mobile wallet. Journal of Retailing & Consumer Services, 21, 449-459.
54. Shin, D.-H. (2010). Modelling the interaction of users and mobile payment system: Conceptual framework. International Journal of Human-Computer Interaction, 26, 917-940.
55. Skeldon, P. (2013). Barclays turns payment app into one stop shop. Internet Retailing, September 18, 2013. Retrieved June 1, 2014, from http://internetretailing.net/2013/09/barclays-turns-payment-app-into-one-stop-shop/.
56. Slade, E., Williams, M., Dwivedi, Y., & Piercy, N. (2014). Exploring consumer adoption of proximity mobile payments. Journal of Strategic Marketing. doi: 10.1080/0965254X.2014.914075
57. Steenkamp, J., & Baumgartner, H. (1998). Assessing measurement invariance in cross-national consumer research. Journal of Consumer Research, 25, 78-107.
58. Swinyard, W., & Smith, S. (2003). Why people (don't) shop online: A lifestyle study of the Internet consumer. Psychology & Marketing, 20, 567-597.
59. Tabachnick, B., & Fidell, L. (2007). Using multivariate statistics (5th ed.). London: Pearson Education.
60. Tan, G., Ooi, K.-B., Chong, S.-C., & Hew, S.-C. (2014). NFC mobile credit card: The next frontier of mobile payment? Telematics and Informatics, 31, 292-307.
61. Taylor, C., & Lee, D.-H. (2008). Introduction: New media: Mobile advertising and marketing. Psychology & Marketing, 25, 711-713.
62. Thakur, R. (2013). Customer adoption of mobile payment services by professionals across two cities in India: An empirical study using modified technology acceptance model. Business Perspectives and Research, 1, 17-29.
63. Thakur, R., & Srivastava, M. (2014). Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India. Internet Research, 24, 369-392.
64. Titcomb, J. (2013). Barclays' Pingit app targets the high street. The Telegraph, September 16, 2013. Retrieved December 13, 2013, from http://www.telegraph.co.uk/technology/news/10311068/Barclays-PingIt-app-targets-the-high-street.html.
65. Tojib, D., & Tsarenko, Y. (2012). Post-adoption modelling of advanced mobile service use. Journal of Business Research, 65, 922-928.
66. U.K. Payments Council. (2012). Current projects: Mobile payments. Retrieved May 4, 2012, from http://www.paymentscouncil.org.uk/current_projects/mobile_payments/.
67. U.K. Payments Council. (2013). The way we pay. Retrieved June 1, 2014, from http://www.paymentscouncil.org.uk/files/payments_council/statistical_publications/the_way_we_pay_-_february_2013.pdf.
68. U.K. Payments Council. (2014). PayM: FAQs. Retrieved June 14, 2014, from http://www.paym.co.uk/faqs.
69. Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27, 425-478.
70. 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, 157-178.
71. Wang, L., & Yi, Y. (2012). The impact of use context on mobile payment acceptance: An empirical study in China. In A. Xie & X. Huang (Eds.), Advances in computer science and education (pp. 293-300). Berlin: Springer.
72. Williams, L., Edwards, J., & Vandenberg, R. (2003). Recent advances in causal modeling methods for organizational and management research. Journal of Management, 29, 903-936.
73. Williams, M., Rana, N., Dwivedi, Y., & Lal, B. (2011). Is UTAUT really used or just cited for the sake of it? A systematic review of citations of UTAUT's originating articles. Proceedings of the European Conference on Information Systems, June 9-11, 2011, Helsinki, paper 231.
74. Yang, K. (2012). Consumer technology traits in determining mobile shopping adoption: An application of the extended theory of planned behavior. Journal of Retailing & Consumer Services, 19, 484-491.
75. Yang, S., Lu, Y., Gupta, S., Cao, Y., & Zhang, R. (2012). Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits. Computers in Human Behavior, 28(1), 129-142.
76. Zhang, J., & Mao, E. (2008). Understanding the acceptance of mobile SMS advertising among young Chinese consumers. Psychology & Marketing, 25, 787-805.
77. Zhou, T. (2013). An empirical examination of continuance intention of mobile payment services. Decision Support Systems, 54, 1085-1091.
78. Zhou, T. (2014). An empirical examination of initial trust in mobile payment. Wireless Personal Communications, 77, 1519-1531.