Um estudo sobre uso do Open Banking entre universitários na Grande São Paulo utilizando o Modelo de Prontidão e Adoção de Tecnologia (TRAM)

Heitor Valarini; Davi Nakano

doi:10.5585/exactaep.2021.17453

Authors

Heitor Valarini Escola Politécnica da Universidade de São Paulo
Davi Nakano Escola Politécnica da Universidade de São Paulo Engenharia de Produção http://orcid.org/0000-0002-7345-2134

DOI:

https://doi.org/10.5585/exactaep.2021.17453

Keywords:

Technology readiness, Technology acceptance, Open Banking, Financial technology.

Abstract

Open Banking refers to the sharing of customer bank data between financial institutions. It allows consolidating data from different bank accounts in one place, and money transfers and payments without accessing a specific bank. Its adoption aims at increasing competition and efficiency in the financial market, and the Central Bank of Brazil is currently setting norms for its application. This article applies the Technology Readiness and Acceptance Model (TRAM) to assess Open Banking adoption among university students. The results indicate that Perceived Usefulness is affected by Optimism, Discomfort and Insecurity, while Perceived Ease of Use is affected only by Innovativeness. Given that the technology acceptance models are culture and national context sensitive, this study contributes to the literature, and offers an overview of the potential for Open Banking adoption among the cohort that will likely to be the major user of that technology.

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Author Biographies

Heitor Valarini, Escola Politécnica da Universidade de São Paulo

Departamento de Engenharia Química

Escola Politécnica da Universidade de São Paulo

Davi Nakano, Escola Politécnica da Universidade de São Paulo Engenharia de Produção

Departamento de Engenharia de Produção

Escola Politécnica da Universidade de São Paulo

References

Acheampong, P., Zhiwen, L., Antwi, H. A., Akai, A., Otoo, A., & Mensah, W. G. (2017). Hybridizing an Extended Technology Readiness Index with Technology Acceptance Model ( TAM ) to Predict E-Payment Adoption in Ghana. American Journal of Multidisciplinary Research, 5(2).

Davis, F. D. (1989). Perceived Usefulness , Perceived Ease of Use , and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008

Guhr, N., Loi, T., Wiegard, R., & Breitner, M. H. (2013). Technology Readiness in Customers ’ Perception and Acceptance of M ( obile ) -Payment : An Empirical Study in Finland , Germany , the USA and Japan. In Rainer Alt & B. Franczyk (Eds.), 11th International Conference on Wirtschafsinformatik (Issue 1, pp. 119–133). University Leipizig.

Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1995). Multivariate Data Analysis (4th editio). Pearson.

Hair Jr, J. F., Hult, G. T. M., & Ringle, C. M. (2013). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (1st ed.). Sage Publications.

Im, I., Hong, S., & Kang, M. S. (2011). An international comparison of technology adoption: Testing the UTAUT model. Information and Management, 48(1), 1–8. https://doi.org/10.1016/j.im.2010.09.001

Kuo, K., Liu, C., & Ma, C. (2013). An investigation of the effect of nurses ’ technology readiness on the acceptance of mobile electronic medical record systems. BMC Medical Informatics and Decision Making, 13(1), 1. https://doi.org/10.1186/1472-6947-13-88

Lam, S. Y., Chiang, J., & Parasuraman, A. (2008). The effects of the dimensions of technology readiness on technology acceptance: An empirical analysis. Journal of Interactive Marketing, 22(4), 19–39. https://doi.org/10.1002/dir.20119

Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information and Management, 40(3), 191–204. https://doi.org/10.1016/S0378-7206(01)00143-4

Lin, C., Shih, H.-Y., & Sher, P. J. (2007). Integrating Technology Readiness into Technology Acceptance : The TRAM Model. Psychology & Marketing, 24(7), 641–657. https://doi.org/10.1002/mar

Parasuraman, A. (2000). Technology Readiness Index (Tri): A Multiple-Item Scale to Measure Readiness to Embrace New Technologies. Journal of Service Research, 2(4), 307–320. https://doi.org/10.1177/109467050024001

Parasuraman, A., & Colby, C. L. (2015). An Updated and Streamlined Technology Readiness Index: TRI 2.0. Journal of Service Research, 18(1), 59–74. https://doi.org/10.1177/1094670514539730

Ramírez-correa, P., Grandón, E. E., & Rondán-Cataluña, F. J. (2020). Users segmentation based on the Technological Readiness Adoption Index in emerging countries : The case of Chile. Technological Forecasting & Social Change, 155(April). https://doi.org/10.1016/j.techfore.2020.120035

Rojas-Méndez, J. I., Parasuraman, A., & Papadopoulos, N. (2017). Demographics, attitudes, and technology readiness: A cross-cultural analysis and model validation. Marketing Intelligence and Planning, 35(1), 18–39. https://doi.org/10.1108/MIP-08-2015-0163

Shin, S., & Lee, W. (2014). The Effects Of Technology Readiness And Technology Acceptance On NFC Mobile Payment Services In Korea. Journal of Applied Business Research, 30(6), 1615–1626.

Sivathanu, B. (2019). An empirical study on the intention to use open banking in India. Information Resources Management Journal, 32(3), 27–47. https://doi.org/10.4018/IRMJ.2019070102

Sun, S., Lee, P., & Law, R. (2019). Impact of cultural values on technology acceptance and technology readiness. International Journal of Hospitality Management, 77(June 2018), 89–96. https://doi.org/10.1016/j.ijhm.2018.06.017

Thomas, H., Kimber, A., & Brown, W. (2019). How regulation is unlocking the potential of open banking in the UK. https://www.ey.com/en_gl/banking-capital-markets/how-regulation-is-unlocking-the-potential-of-open-banking-in-the-uk

Tsikriktsis, N. (2004). A Technology Readiness – Based Taxonomy of Customers. Journal of Service Research, 7(1), 42–52. https://doi.org/10.1177/1094670504266132

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