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Journal of Financial Services Marketing

, Volume 17, Issue 3, pp 215–226 | Cite as

A literature review of theoretical models of Internet banking adoption at the individual level

  • Shumaila Y Yousafzai
Original Article

Abstract

How and why individuals use Internet banking (IB) has attracted a great deal of academic attention. This article reviews the IB literature through the lenses of nine adoption theories. The review suggests that IB adoption is a complex and multifaceted process, and a joint consideration of customers’ personal, social, psychological, utilitarian and behavioural aspects is more important than adoption itself and will ultimately result in the intended behaviour. Therefore, managers and system developers should undertake a customer-centric approach focusing on managing belief formation rather than directly influencing behaviour. The review also concludes that IB research is in an inconclusive state, and is far from unanimamous regarding the approaches and conceptualizations used to understand the beliefs that truly influence IB behaviour. There is limited research dealing with the role of interventions that can assist managers in making effective decisions to speed the adoption process.

Keywords

literature review consumer behaviour Internet banking technology adoption and diffusion models 

References

  1. Agarwal, R. and Prasad, J. (1999) Are individual differences germane to the acceptance of new information technologies? Decision Science 30 (2): 361–391.CrossRefGoogle Scholar
  2. Ajzen, I. (1985) From intentions to actions: A theory of planned behaviour. In: J. Kuhl and J. Beckman (eds.) Action-Control: From Cognition to Behaviour. Heidelberg, Germany: Springer, pp. 11–39.CrossRefGoogle Scholar
  3. Alsajjan, B. and Dennis, C. (2010) Internet banking acceptance model: Cross-market examination. Journal of Business Research 63 (9–10): 957–963.CrossRefGoogle Scholar
  4. Bandura, A. (1986) Social Foundations of Thought & Action: A Social Cognitive Theory. Englewood Cliffs, NJ: Prentice Hall.Google Scholar
  5. Bateson, J.E.G. and Hoffman, K.D. (1999) Managing Services Marketing, 4th edn. London: Dryden Press.Google Scholar
  6. Bauer, R. (1960) Consumer behaviour as risk-taking. In: R.S. Hancock (ed.) Dynamic Marketing for a Changing World. Chicago, IL: American Marketing Association, pp. 389–399.Google Scholar
  7. Black, N., Lockett, A., Winklhofer, H. and Ennew, C. (2001) The adoption of internet financial services: A qualitative study. International Journal of Retail & Distribution Management 29 (8): 390–398.CrossRefGoogle Scholar
  8. Celik, H. (2008) What determines Turkish customers’ acceptance of internet banking? International Journal of Bank Marketing 26 (5): 353–370.CrossRefGoogle Scholar
  9. Chan, S. and Lu, M. (2004) Understanding internet banking adoption & use behaviour, a Hong Kong perspective. Journal of Global Information Management 12 (3): 21–43.CrossRefGoogle Scholar
  10. Chong, A., Ooi, K., Lin, B. and Tan, B. (2010) Online banking adoption: An empirical analysis. International Journal of Bank Marketing 28 (4): 267–287.CrossRefGoogle Scholar
  11. Davis, F.D. (1989) Perceived usefulness, perceived ease of use, & user acceptance of information technology. MIS Quarterly 13 (3): 19–339.CrossRefGoogle Scholar
  12. Eriksson, K. and Nilsson, D. (2007) Determinants of the continued use of self-service technology: The case of internet banking. Technovation 27 (4): 159–167.CrossRefGoogle Scholar
  13. Fishbein, M. and Ajzen, I. (1975) Belief, Attitude, Intention, & Behaviour: An Introduction to Theory & Research. Reading, MA: Addison-Wesley.Google Scholar
  14. Gounaris, S. and Koritos, C. (2008) Using the extended innovation attributes framework and consumer personal characteristics as predictors of internet banking adoption. Journal of Financial Services Marketing 13 (1): 39–51.CrossRefGoogle Scholar
  15. Hernandez, J. and Mazzon, J. (2007) Adoption of internet banking: Proposition and implementation of an integrated methodology approach. International Journal of Bank Marketing 25 (2): 72–88.CrossRefGoogle Scholar
  16. Im, I., Hong, S. and Kang, M. (2010) An international comparison of technology adoption testing the UTAUT model. Information & Management 48 (1): 1–18.CrossRefGoogle Scholar
  17. Jaffee, D. (1998) Institutionalized resistance to asynchronous learning networks. Journal of Asynchronous Learning Networks 2 (2): 21–32.Google Scholar
  18. Koenig-Lewis, N., Palmer, A. and Moll, A. (2010) Predicting young consumers’ take up of mobile banking services. International Journal of Bank Marketing 28 (5): 410–432.CrossRefGoogle Scholar
  19. Kuisma, T., Laukkanen, T. and Hiltunen, M. (2007) Mapping the reasons for resistance to internet banking: A means-end approach. International Journal of Information Management 27 (2): 75–85.CrossRefGoogle Scholar
  20. Lassar, W., Manolis, C. and Lassar, S. (2005) The relationship between consumer innovativeness, personal characteristics, & online banking adoption. International Journal of Bank Marketing 23 (2): 176–199.CrossRefGoogle Scholar
  21. Laukkanen, T. and Kiviniemi, V. (2010) The role of information in mobile banking resistance. International Journal of Bank Marketing 28 (5): 372–388.CrossRefGoogle Scholar
  22. Laukkanen, T. and Lauronen, J. (2005) Consumer value creation in mobile banking services. International Journal of Mobile Communications 3 (4): 325–338.CrossRefGoogle Scholar
  23. Laukkanen, P., Sinkkonen, S. and Laukkanen, T. (2008) Consumer resistance to internet banking: Postponers, opponents & rejectors. International Journal of Bank Marketing 26 (6): 440–455.CrossRefGoogle Scholar
  24. Lee, Y., Kozar, K. and Larsen, K. (2003) The technology acceptance model: Past, present, & future. Communication of the AIS 12 (50): 752–780.Google Scholar
  25. Lee, E., Kwon, K. and Schumann, D. (2005) Segmenting the non-adopter category in the diffusion of internet banking. International Journal of Bank Marketing 23 (4): 414–437.CrossRefGoogle Scholar
  26. Lee, M. (2009) Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications 8 (3): 130–141.CrossRefGoogle Scholar
  27. Lippert, S. and Forman, H. (2005) Utilization of information technology: Examining cognitive & experiential factors of post-adoption behaviour. IEEE Transactions on Engineering Management 52 (3): 363–381.CrossRefGoogle Scholar
  28. Luarn, P. and Lin, H. (2005) Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior 21 (6): 873–891.CrossRefGoogle Scholar
  29. McKechnie, S., Winklhofer, H. and Ennew, C. (2006) Applying the technology acceptance model to the online retailing of financial services. International Journal of Retail & Distribution Management 34 (4/5): 388–410.CrossRefGoogle Scholar
  30. Moore, G. and Benbasat, I. (1991) Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research 2 (3): 192–222.CrossRefGoogle Scholar
  31. Ostlund, L. (1974) Perceived innovation attributes as predictors of innovativeness. Journal of Consumer Research 1 (September): 23–29.CrossRefGoogle Scholar
  32. Ozdemir, S. and Trott, P. (2009) Exploring the adoption of a service innovation: A study of internet banking adopters and non-adopters. Journal of Financial Services Marketing 13 (4): 284–299.CrossRefGoogle Scholar
  33. Puschel, J., Mazzon, J. and Hernandez, J. (2010) Mobile banking: Proposition of an integrated adoption intention framework. International Journal of Bank Marketing 28 (5): 389–409.CrossRefGoogle Scholar
  34. Ram, S. (1987) A model of innovative resistance. In: M. Wallendorf and P. Anderson (eds.) Advances in Consumer Research, Vol. 14. Provo, Utah: Association for Consumer Research, pp. 208–215.Google Scholar
  35. Ram, S. and Sheth, J. (1989) Consumer resistance to innovations: The marketing problem & its solutions. Journal of Consumer Marketing 6 (2): 5–14.CrossRefGoogle Scholar
  36. Read, W., McQuilken, L. and Robertson, N. (2010, December) A novel romance: Conceptualising emotional attachment as a barrier to adoption. Paper presented in the ANZMAC, Christchurch, New Zealand.Google Scholar
  37. Rogers, E. (1962) Diffusion of Innovations. New York: Free Press.Google Scholar
  38. Sathye, M. (1999) Adoption of internet banking by Australian consumers: An empirical investigation. International Journal of Bank Marketing 17 (7): 324–334.CrossRefGoogle Scholar
  39. Shih, Y. and Fang, K. (2006) Effects of network quality attributes on customer adoption intentions of internet banking. Total Quality Management 17 (1): 61–77.CrossRefGoogle Scholar
  40. Tan, M. and Teo, T. (2000) Factors influencing the adoption of internet banking. Journal of the AIS 1 (5): 1–42.Google Scholar
  41. Taylor, S. and Todd, P.A. (1995) Understanding information technology usage: A test of competing models. Information Systems Research 6 (2): 144–176.CrossRefGoogle Scholar
  42. Venkatesh, V. (2000) Determinants of perceived ease of use: Integrating perceived behavioural control, computer anxiety & enjoyment into the technology acceptance model. Information Systems Research 11 (4): 342–365.CrossRefGoogle Scholar
  43. Venkatesh, V. and Bala, H. (2008) Technology acceptance model 3 & a research agenda on interventions. Decision Sciences Volume 39 (2): 273–315.CrossRefGoogle Scholar
  44. Venkatesh, V. and Davis, F. (2000) A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science 46 (2): 186–204.CrossRefGoogle Scholar
  45. Venkatesh, V., Davis, F. and Morris, M. (2007) Dead or alive? The development, trajectory & future of technology adoption research. Journal of the AIS 8 (4): 267–286.Google Scholar
  46. Venkatesh, V., Morris, M., Davis, G. and Davis, F. (2003) User acceptance of information technology: Toward a unified view. MIS Quarterly 27 (3): 425–478.Google Scholar
  47. Yiu, C., Grant, K. and Edgar, D. (2007) Factors affecting the adoption of internet banking in Hong Kong – Implications for the banking sector. International Journal of Information Management 27 (5): 336–351.CrossRefGoogle Scholar
  48. Yousafzai, S., Foxall, G. and Pallister, J. (2010) Explaining internet banking behaviour: TRA, TPB, or TAM? Journal of Applied Social Psychology 40 (5): 1172–1202.CrossRefGoogle Scholar
  49. Yuen, Y., Yeow, P., Lim, N. and Saylani, N. (2010) Internet banking adoption: Comparing developed & developing countries. Journal of Computer Information Systems 51 (1): 2–61.Google Scholar
  50. Zhou, T., Lu, Y. and Wang, B. (2010) Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior 26 (4): 760–767.CrossRefGoogle Scholar

Copyright information

© Palgrave Macmillan, a division of Macmillan Publishers Ltd 2012

Authors and Affiliations

  1. 1.Lecturer, Cardiff Business School, Cardiff UniversityCardiffUK

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