Determinants for FinTech Services Usage Intention.

A Study on Consumers in the Metropolitan Area of Córdoba

Authors

  • Karen Eliana Amenabar Gómez , Universidad Nacional de Córdoba, Argentina ,
  • Antonella Bruno Universidad Nacional de Córdoba, Argentina , ,
  • Leandro Comba , , Universidad Nacional de Córdoba, Argentina
  • Natalia Cecilia Graselli Universidad Nacional de Córdoba, Argentina , ,

DOI:

https://doi.org/10.14409/rce.2023.20.e0031

Keywords:

FinTech, Usage Intention, X Generation and Millennials

Abstract

This quantitative research aims to identify the most relevant determinants for FinTech services usage intention. It is based on the constructs proposed by the Unified Theory of Acceptance and Use of Technology and it includes three additional constructs in order to gain a broader understanding of Argentinian consumers.

Primary data collected from a sample of individuals who belong to the X and Millennial generations and reside in Córdoba city and its metropolitan area was used.

Statistical analysis techniques were applied to this data so as to achieve a comprehensive understanding. Additionally, in order to segment consumers, a cluster analysis was carried out and, finally, multiple linear regression was used to analyze the impact of constructs on usage intention.

The results obtained indicate that the constructs analyzed have a significant effect on the intention to use FinTech services, with Responsiveness being the most influential on this variable. Furthermore, important differences between the two generations regarding their

preferences and needs were observed. Finally, three consumer profiles which allow for formulating marketing strategies were identified.

This work is valuable because it provides knowledge of an expanding activity as well as relevant information for marketing professionals in the FinTech services sector to be able to develop effective strategies to attract customers.

References

Akhtar, S. et al. (2019). Factors influencing individuals' intention to adopt mobile banking in China and Pakistan: The moderating role of cultural values. University of Science and Technology of China. https://doi.org/10.1002/pa.1884

Appelbaum, S.H., Serena, M. and Shapiro, B.T. (2005). Generation «X» and the boomers: an analysis of realities and myths. Management Research News, Vol. 28 No. 1, pp. 1–33. https://doi.org/10.1108/01409170510784751

Arner, D.W. et al. (2015). The Evolution of Fintech: A New Post–Crisis Paradigm? University of Hong Kong Faculty of Law, pp. 2015/047. http://dx.doi.org/10.2139/ssrn.2676553

Banco Central de la República Argentina (2022). Cómo prevenir estafas. Sitio web del BCRA. https://www.bcra.gob.ar/BCRAyVos/Como–prevenir–estafas–virtuales.asp

Banco Interamericano de Desarrollo (2022). Fintech en América Latina y el Caribe: un ecosistema consolidado para la recuperación. http://dx.doi.org/10.18235/0004202

Barretti Mascarenhas, A. et al. (2020). The Influence of Perceptions of Risks and Benefits on the Continuity of Use of Fintech Services. Brazilian Business Review, 18(1), 1–21. https://doi.org/10.15728/bbr.2021.18.1.1

Chauhan, M. y Shingari, I. (2017). Future of e–Wallets: A Perspective From Under Graduates. International Journals of Advanced Research in Computer Science and Software Engineering. https://doi.org/ 10.23956/ijarcsse.v7i8.42

Chitungo, S.K. y Munongo, S. (2013). Extending the Technology Acceptance Model to Mobile Banking Adoption in Rural Zimbabwe. Journal of Business Administration and Education, 3, 51–79.

Comisión Económica para América Latina (2020). Panorama de las fintech: principales desafíos y oportunidades para el Uruguay. Serie Estudios y Perspectivas–Oficina de la CEPAL en Montevideo, N° 48. bit.ly/panorama–fintech–cepal

Cronbach, L.J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. https://doi.org/10.1007/BF02310555

Cuya, M.L. (2017). La disrupción de las startups FinTech en el mundo financiero. Pontificia Universidad Católica del Perú, Departamento Académico de Ciencias de la Gestión, Notas Académicas, 31. bit.ly/startups–fintech–cuya

Davis, F.D., Bagozzi, R.P. y Warshaw, P.R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), pp. 982–1003. https://doi.org/10.1287/mnsc.35.8.982

Díaz–Sarmiento, C., López–Lambraño, M. & Roncallo–Lafont, L. (2017). Entendiendo las generaciones: una revisión del concepto, clasificación y características distintivas de los baby boomers, X y Millennials. Clío América, 11(22). https://doi.org/10.21676/23897848.2440

Dirección General de Estadística y Censos (2010). Informe demográfico de Córdoba. bit.ly/demografia–cba–indec

Equifax (2020). Estudio Fintech: Análisis para la inclusión financiera. bit.ly/estudio–fintech–equifax

Fishbein, M. (1963). An Investigation of the Relationships between Beliefs about an Object and the Attitude toward that Object. Human Relations, pp 16(3), pp. 233–239. https://doi.org/10.1177/001872676301600302

Gilbert, D., Balestrini, P. y Littleboy, D. (2004). Barriers and benefits in the adoption of e–government, International Journal of Public Sector Management, 17(4), pp. 286–301. https://doi.org/10.1108/09513550410539794

Griffin, M.D. (2002). Millennials Rising: The Next Great Generation. Journal of Consumer Marketing, Vol. 19 No. 3, pp. 282–285. https://doi.org/10.1108/jcm.2002.19.3.282.4

Grupo Banco Mundial (2022). Argentina – Informe sobre clima y desarrollo del país. Country Climate and Development Report #178458. bit.ly/BM–argentina

Hansen, J. et al. (2018). Risk, trust, and the interaction of perceived ease of use and behavioral control in predicting consumers’ use of social media for transactions. Computers in Human Behavior, Vol. 80, pp. 197–206. https://doi.org/10.1016/j.chb.2017.11.010

Kotler, P. y Armstrong, G. (2012). Principles of Marketing. 14th Edition. Pearson Education Limited, Essex, England.

Lewis, J.D. y Weigert, A. (1985). Trust as a social reality. Social forces, 63(4), pp. 967–985. https://doi.org/10.1093/sf/63.4.967

Lovelock, C. y Wirtz, J. (2009). Marketing de Servicios: personal, tecnología y estrategia. Sexta edición. Pearson Educación.

Luarn, P. y Lin, H.H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 21(6), pp. 873–891. https://doi.org/10.1016/j.chb.2004.03.003

Malhotra, N. K. (2008). Investigación de mercados. Quinta edición. Pearson Educación.

Mishkin, F. (2008). Moneda, banca y mercados financieros. Octava edición. Pearson Educación.

Mu, H.–L. y Lee, Y.–C. (2017). An Application of Fuzzy AHP and TOPSIS Methodology for Ranking the Factors Influencing FinTech Adoption Intention: A Comparative Study of China and Korea. Journal of Service Research and Studies, 7(4), pp. 51–68. https://doi.org/10.18807/JSRS.2017.7.4.051

PwC (2021). Banking y Fintech 2021. Cámara Argentina de Fintech. pwc.to/3VDyGZS

Ratecka, P. (2020). FinTech—definition, taxonomy and historical approach. The Małopolska School of Economics in Tarnów Research Papers Collection. https://doi.org/10.25944/znmwse.2020.01.5367

Salas–Rubio, M.I. et al. (2021) Intención, actitud y uso real del e–commerce. Investigación Administrativa, pp. 50, 127, 153–173. https://doi.org/10.35426/iav50n127.03

Santesmases Mestre, M. et al. (2014). Fundamentos de Mercadotecnia. Grupo Editorial Patria, SA de CV.

Sarabia Sánchez, F. (2013). Métodos de investigación social y de la empresa. Ediciones Pirámide.

Schiffman, L.G. y Kanuk, L.L. (2010). Comportamiento del consumidor. Pearson–Prentice–Hall.

Siau, K. y Shen, Z. (2008). Building customer trust in mobile commerce. Communications of the ACM, Vol. 46, pp. 91–94. https://doi.org/10.1145/641205.641211

Singh, S. et al. (2020). What drives FinTech adoption? A multi–method evaluation using an adapted technology acceptance model, Management Decision, Vol. 58, No. 8, pp. 1675–169. https://doi.org/10.1108/MD–09–2019–1318

Vance, A. et al. (2008). Examining Trust in Information Technology Artifacts: The Effects of System Quality and Culture. Journal of Management Information Systems, Vol. 24. https://doi.org/10.2753/MIS0742–1222240403

Venkatesh, V.; Morris, M.G.; Davis, G.B. y Davis, F.D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), pp. 425–478. https://doi.org/10.2307/30036540

Yu, C.S. (2014). Consumer switching behavior from online banking to mobile banking. International Journal of Cyber Society and Education, 7(1), pp. 1–28. http://dx.doi.org/10.7903/ijcse.1108

Downloads

Published

2024-08-14

How to Cite

Determinants for FinTech Services Usage Intention.: A Study on Consumers in the Metropolitan Area of Córdoba. (2024). Ciencias Económicas, 2(20), e0031. https://doi.org/10.14409/rce.2023.20.e0031