Skip to main content

Technology Readiness Index (TRI) Factors as Differentiating Elements between Users and Non Users of Internet Banking, and as Antecedents of the Technology Acceptance Model (TAM)

  • Conference paper
ENTERprise Information Systems (CENTERIS 2011)

Abstract

The scope of this work covers the study of models developed for assessing critical aspects of consumer use and acceptance of technology-based products and services. We used the Technology Acceptance Model (TAM), and the Index of Readiness for the use of Technology (TRI) as theoretical references. We carried out field research on Internet banking users in order to: (1) evaluate the differences between the groups in terms of predisposition towards technology using the TRI model; and (2) test whether the influencing factors of this model could be antecedents to the main construct of the technology acceptance model (TAM). The analyses showed that for proposal (1), three of the four dimensions, - optimism, insecurity and discomfort, - presented significant differences between the groups; and for proposal (2), the factor ´optimism‘, a positive view of technology, was observed to be a significant antecedent of the intention to use on-line services.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13(3), 319–341 (1989)

    Article  Google Scholar 

  2. Parasuraman, A.: Technology readiness index (TRI): a multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research 2(4), 307–320 (2000)

    Article  Google Scholar 

  3. Parasuraman, A., Colby, C.: Techno-ready marketing: how and why your customers adopt technology. The Free Press, New York (2001)

    Google Scholar 

  4. Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: a comparison of two theoretical models. Management Science 35(8), 982–1004 (1989)

    Article  Google Scholar 

  5. Taylor, S., Todd, P.: Understanding information technology usage: a testing of competing models. Information Systems Research 6(2), 144–176 (1995)

    Article  Google Scholar 

  6. Dasgupta, S., Granger, M., Mcgarry, N.: User acceptance of e-collaboration technology: an extension of the technology acceptance model. Group Decision and Negotiation, 87–100 (2002)

    Google Scholar 

  7. Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Quarterly 27(3), 425–478 (2003)

    Google Scholar 

  8. Keat, K.T., Mohan, A.: Integration of TAM based electronic commerce models for trust. Journal of American Academy of Business 5(1-2), 404–410 (2004)

    Google Scholar 

  9. Taylor, S.A., Goodwin, S., Celuch, K.: An exploratory investigation into the question of direct selling via the internet in industrial equipment markets. Journal of Business to Business Marketing 12(2), 39–54 (2005)

    Article  Google Scholar 

  10. de Souza, R.V., Luce, F.B.: Assessment of applicability of TRI index for the adoption of technology-based products and services in Brazil. In: Anais do Encontro Nacional da Associação Nacional de Pós-Graduação e Pesquisa em Administração, Atibaia, SP, Brasil, vol. 27 (2003)

    Google Scholar 

  11. de Souza, R.V., Luce, F.B.: Assessment of applicability of TRI index for the adoption of technology-based products and services. Revista de Administração Contemporânea 9(3), 121–141 (2005)

    Article  Google Scholar 

  12. Meuter, M.L., Ostrom, A.L., Roundtree, R.I., Bitner, M.J.: Self-service technologies: understanding customer satisfaction with technology-based service encounters. Journal of Marketing 64(3), 50–64 (2000)

    Article  Google Scholar 

  13. Dabholkar, P.A.: Incorporating choice into an attitudinal framework: analyzing models of mental comparison processes. Journal of Consumer Research 21(1), 100–118 (1994)

    Article  Google Scholar 

  14. Clemons, E.K., Hitt, L., Gu, B., Thatcher, M.E., Weber, B.W.: Impacts of e-commerce and enhanced information endowments on financial services: a quantitative analysis of transparency, differential pricing, and disintermediation. Journal of Financial Services Research 22(1-2), 73–90 (2002)

    Article  Google Scholar 

  15. Frei, F., Harker, P.: Value creation and process management: evidence from retail banking. Working Paper (99-16). Wharton Financial Institutions Center, Philadelphia (1999)

    Google Scholar 

  16. Fishbein, M., Ajzen, I.: Belief, attitude, intention, and behavior: an introduction to theory and research. Addison-Wesley, Reading (1975)

    Google Scholar 

  17. Karahanna, E., Straub, D.W., Chervany, N.L.: Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quaterly 23(2), 183–218 (1999)

    Article  Google Scholar 

  18. Gefen, D.: TAM or just plain habit: a look at experienced online shoppers. Journal of End User Computing 15(3), 1–13 (2003)

    Article  Google Scholar 

  19. Aaker, D.A., Kumar, V., Day, G.S.: Marketing research. John Wiley & Sons, Inc., New York (1995)

    Google Scholar 

  20. Eagly, A.H.C.: The psychology of attitudes. Harcourt Brace Jovanovich, Forth Worth (1993)

    Google Scholar 

  21. Mathieson, K.: Predicting users intentions: comparing technology acceptance model with the theory of planned behavior. Information Systems Research 2(3), 173–191 (1991)

    Article  Google Scholar 

  22. Robey, D.: Theories that explain contradiction: accounting for the contradictory organizational consequences of information technology. In: Proceedings of the International Conference on Information Systems, Amsterdam, Netherlands (1995)

    Google Scholar 

  23. Gentry, L., Calantone, R.: A comparison of three models to explain shop-bot use on the web. Psycology & Marketing 30(3), 184–202 (2002)

    Google Scholar 

  24. Hair Jr., J.F., Babin, B., Money, A.H., Samouel, P.: Fundamentos de métodos de pesquisa em administração (Foundations of research methods in management). Bookman, Porto Alegre (2005)

    Google Scholar 

  25. Bentler, P.M.: EQS – structural equations program manual. Multivariate Software, Inc., Encino (1995)

    Google Scholar 

  26. Jöreskog, K.G., Sörbom, D.: LISREL 8: structural equation modeling with SIMPLIS command language. Scientific Software, Mooresville (1993)

    Google Scholar 

  27. Mick, D.G., Fournier, S.: Paradoxes of technology: consumer cognizance, emotions, and coping strategies. Journal of Consumer Research 25(2), 123–143 (1998)

    Article  Google Scholar 

  28. Churchill Jr., G.A.: Marketing research: methodological foundation, 7th edn. The Dryden Press, Orlando Fla (1999)

    Google Scholar 

  29. Adams, D., Nelson, R., Todd, P.: Perceived usefulness, ease of use, and usage of information Technology: a replication. MIS Quarterly 16(2), 227–248 (1992)

    Article  Google Scholar 

  30. Agarwal, R., Prasad, J.: The role of innovation characteristics and perceived voluntariness in the acceptance of information technologies. Decision Sciences 28(3), 557–582 (1997)

    Article  Google Scholar 

  31. Chen, P., Hitt, L.: Measuring switching costs and the determinants of customers retention in internet-enabled businesses: a study of the online brokerage industry. Information Systems Research 13(3), 255–276 (2002)

    Article  Google Scholar 

  32. Curran, J., Meuter, M.L., Suprenant, C.F.: Intentions to use self-service technologies: a confluence of multiple attitudes. Journal of Service Research 5(3), 209–225 (2003)

    Article  Google Scholar 

  33. Hair Jr., J.F., Anderson, R.E., Tathan, R.L., Black, W.C.: Multivaried data analysis, 5ath edn. Bookman, Porto Alegre (2005)

    Google Scholar 

  34. Hauser, J.R., Shugan, S.M.: Intensity measures of consumer preference. Operation Research 28(2), 278–320 (1980)

    Article  MathSciNet  MATH  Google Scholar 

  35. Hitt, L.M., Frei, X.F., Harker, P.: How financial firms decide on technology. In: Robert, E. (ed.) Brookings-Wharton Papers on Financial Services, pp. 93–146. Financial Institutions Center, Philadelphia (1999)

    Google Scholar 

  36. Hitt, L.M., Frei, X.F.: Do better customers utilize electronic distribution channels? The case of PC Banking. Management Science 48(6), 732–748 (2002)

    Article  Google Scholar 

  37. King, W.R., He, J.: A meta-analysis of the technology acceptance model. Information & Management 43(6), 740–755 (2006)

    Article  Google Scholar 

  38. Larcker, D.F., Lessig, U.P.: Perceived usefulness of information: a psychometric examination. Decision Sciences 11(1), 121–134 (1980)

    Article  Google Scholar 

  39. Ma, Q., Liu, L.: The technology acceptance model: a meta-analysis of empirical findings. Journal of Organizational and End User Computing 16(1), 59–72 (2004)

    Article  Google Scholar 

  40. Moore, G.C., Benbasat, I.: Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research 2(3), 192–222 (1991)

    Article  Google Scholar 

  41. Mowen, J.C., Minor, M.S.: Comportamento do consumidor. Prentice Hall, São Paulo

    Google Scholar 

  42. Rogers, E.M.: Diffusion of innovation. The Free Press, New York (2003)

    Google Scholar 

  43. Swanson, E.B.: Information Channel Disposition and Use. Decisions Sciences 18(1), 131–145 (1987)

    Article  Google Scholar 

  44. Swinyard, W., Ghee, L.: Adoption patterns of new banking technology in Southeast Asia. International Journal of Bank Marketing 5(4), 35–48 (1987)

    Article  Google Scholar 

  45. Venkatesh, V., Davis, F.D.: Theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science 46(2), 186–204 (2000)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Pires, P.J., da Costa Filho, B.A., da Cunha, J.C. (2011). Technology Readiness Index (TRI) Factors as Differentiating Elements between Users and Non Users of Internet Banking, and as Antecedents of the Technology Acceptance Model (TAM). In: Cruz-Cunha, M.M., Varajão, J., Powell, P., Martinho, R. (eds) ENTERprise Information Systems. CENTERIS 2011. Communications in Computer and Information Science, vol 220. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24355-4_23

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-24355-4_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24354-7

  • Online ISBN: 978-3-642-24355-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics