READINESS INDEX AND ENGAGEMENT WITH TECHNOLOGY
INFLUENCED FACTORS IN RELATION TO FINTECHS IN BRAZIL
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https://doi.org/10.56579/rei.v7i4.1560Keywords:
Fintech, Financial Technology, Technology Readiness Index, Consumer Engagement, Digital PlatformAbstract
“Fintech” refers to financial technologies with disruptive characteristics based on digital platforms and mobile applications. From 2014 onwards, the term began to attract attention on a global scale, as it made financials systems more efficient. Given the exposed context, the objective of this research effort is to analyze what are the influences of the factors optimism, innovativeness, discomfort and insecurity on the types of consumer involvement with Fintechs. The research is descriptive in nature with a quantitative approach, in which, via Structural Equation Analysis, the influence of the readiness index on consumer involvement with Fintech technologies was measured. The software used for the analysis was R (version 3.4.4). It was possible to confirm the importance of readiness factors in the involvement of financial technology users. There is a high level of readiness, respondents are open and prone to using FinTechs, the majority are optimistic and innovative. When readiness factors were related to the types of user involvement, a significant influence was confirmed. However, the survey shows that respondents feel uncomfortable and insecure, partly due to the complexity of new technologies, and partly due to the low level of understanding and knowledge of the platforms available on the market.
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BASTOS, A. V. B.; BRANDÃO, M. G. A.; PINHO, A. P. M. Comprometimento organizacional: uma análise do conceito expresso por servidores universitários no cotidiano de trabalho. Revista de Administração Contemporânea. V. 1, n. 2. Curitiba, 1997. Disponível em: http://dx.doi.org/10.1590/S1415-65551997000200006 DOI: https://doi.org/10.1590/S1415-65551997000200006
BALDIN, N.; MUNHOZ, E. M. B. Educação ambiental comunitária: uma experiência com a técnica de pesquisa snowball (bola de neve). Revista Eletrônica do Mestrado em Educação Ambiental, v. 27, 2011, p. 46-60.
DAPP, Thomas F. Fintech The digital (r)evolution in the financial sector.Frankfurt, Deutsche Bank Research, 2014.Disponívelem: https://www.dbresearch.com/PROD/DBR_INTERNET_EN-PROD/PROD0000000000345837.pdf
CAHILL, Richard.How FinTech startups and alternative banking companies are redefining finance through design. Money & Change, Digital Iteraction Design, University of Dundee, Dundee, 2015.Disponívelem: http://lab.rc3.me/deliverables/RCahill-SocialMobileApps-MoneyAndChange.pdf
CHUEN, D. L.K; TEO, E. G. S. Emergence of FinTech and the LASIC principles. The Journalof Financial Perspectives: FinTech. 2015. Disponivel em: https://skbi.smu.edu.sg/sites/default/files/skbife/research_papers/Emergence%20of%20FinTech%20and%20the%20LASIC%20Principles.pdf
EFRON, B. e Tibshirani, R. J. An Introduction to the Bootstrap. Chapman & Hall, 1993. DOI: https://doi.org/10.1007/978-1-4899-4541-9
FORNELL, C. e Larcker, D. F. Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, p. 39-50, 1981. DOI: https://doi.org/10.1177/002224378101800104
GIBSON, John. The impact FinTech is having on the financial services industry in Ireland. (dissertação) Dublin Business School, Dublin, 2015. Disponível em: http://hdl.handle.net/10788/2906
GULAMHUSEINWALA, I; BULL, T; LEWISS. FinTech is gaining traction and young, high-income users are the early adopters, Journal of Financial Perspectives: FinTech. v.3, n.3, p.16-23, 2015. Disponível em: http://econpapers.repec.org/article/risjofipe/0084.htm
HAIR, J. F.; ANDERSON, R. E.; TATHAM, R. L.; BLACK, W. C. Análise multivariada de dados. Porto Alegre: Bookman, 2005.
HAIR, J. F.; Black, W. C.; Babin, B. J.; Anderson, R. E. E Tatham, R. L. AnáliseMultivariada de Dados. Porto Alegre: Bookman. 2009.
HAIR, J. F. et al. An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the academy of marketing science, v. 40, n. 3, p. 414-433, 2012. DOI: https://doi.org/10.1007/s11747-011-0261-6
HAIR Jr, J. F., Hult, G. T. M., Ringle, C., &Sarstedt, M. A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications, 2014.
HENSELER, J.; Ringle, C. M. e Sinkovics, R. R. The use of partial least squares path modeling in international marketing. Advances in international marketing, v. 20, n. 1, p. 277-319, 2009. DOI: https://doi.org/10.1108/S1474-7979(2009)0000020014
HENSELER, J. e Sarstedt, M. Goodness-of-fit indices for partial least squares path modeling. Computational Statistics, v. 28, n. 2, p. 565-580, 2012. DOI: https://doi.org/10.1007/s00180-012-0317-1
HODER, Frank; WAGNER, Michael; SGUERRA, Juliana; BERTOL, Gabriela. A revolução FinTech: Como as inovações FinTech estão impulsionando o financiamento às MPME na America Latina e Caribe. Relatório da Corporação Interamericana de Investimento, ano 2016. Disponível em: http://cdn.iic.org/sites/default/files/documents/pub/pt/cii_-_oliver_wyman_-_a_revolucao_fintech_0.pdf
MCAULEY, Daniel. What is FinTech?.WhartonFinTech blog, 2014. Disponível em: https://medium.com/wharton-fintech/what-is-fintech-77d3d5a3e677#.irb06o6mv
MICU, Ion; MICU, Alexandra. Financial technology (FinTech) and its implementation on the romanian non-banking capital market.SEA – PraticalApplication os Science, Bucareste, v. 4, n. 2, p. 379-384, nov. 2016. Disponível em: http://seaopenresearch.eu/Journals/articles/SEA_11_30.pdf
MINGOTI, S. A. Análise de Dados Através de Métodos de Estatística Multivariada: Uma Abordagem Aplicada. Belo Horizonte: UFMG. 2007.
MORESI, E. A. D. (Org). Manual de Metodologia da Pesquisa. Brasília-DF: Universidade Católica de Brasília – UCB, mar., 2003.
MOTA, Karla Roberta Revert. Envolvimento do consumidor com produtos e serviços bancários (dissertação de mestrado), Universidade FUMEC, Belo Horizonte, 2016.
MUNCY, J. A; HUNT, S. D. Consumer involvement defitional issues and research directions. Advances in consumer research. v.11 p.193-196, 1984. Disponivelem: http://acrwebsite.org/volumes/6241/volumes/v11/NA-11
PARASURAMAN, A. Technology Readiness Index (TRI): a multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, v. 2, n. 4, p. 307-320. Dói: 10.1177/109467050024001, 2000. DOI: https://doi.org/10.1177/109467050024001
PARASURAMAN, A.; COLBY, C. Techno-ready marketing: how and why your customers adopt technology. New York: The Free Press, 2001. p. 224.
SHERIF, M,; CANTRIL, H. The psychology of ego involvements. New York, 1947.
VERGARA, S. C. Projetos e Relatórios de Pesquisa em Administração. São Paulo-SP: Editora Atlas S.A. 2014.
VINZI, V. E.; Chin, W. W.; Henseler; J. e Wang; H. Handbook of Partial Least Squares. Springer, 2010.
VINZI, V. E., Trinchera, L.; Amato, S. PLS path modeling: from foundations to recent developments and open issues for model assessment and improvement. In: Handbook of partial least squares. Springer, Berlin, Heidelberg, 2010. p. 47-82. DOI: https://doi.org/10.1007/978-3-540-32827-8_3
WAUPSH, J. Bankruption: How Community Banking Can Survive Fintech. Hardcover, 2017. doi: 10.1002%2F9781119273875.ch2 DOI: https://doi.org/10.1002/9781119273875
WEN, Cao. FinTechAcceptanceResearch in Finland - Case CompanyPlastc. Master’sThesis, AaltoUniversity, Finland, 2016. Disponível em: https://pdfs.semanticscholar.org/e8ce/fe083ad1c5487b0fc3cf789708c0f26219a4.pdf
ZAICHKOWSKY, Judith L. Conceptualizing Involvement. Journal of Advertising, 1986 doi:10.1080/00913367.1986.10672999 DOI: https://doi.org/10.1080/00913367.1986.10672999
ZAICHKOWSKY, Judith L. The Personal Involvement Inventory: Reduction, Revision, and Application to Advertising. JournalofAdvertising 1994. doi: 10.1080/00913367.1943.10673459 DOI: https://doi.org/10.1080/00913367.1943.10673459
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