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User Attitude and Intentions Towards FinTech in Bangladesh

User Attitude and Intentions Towards FinTech in Bangladesh

Fairtown Zhou Ayoungman, Nazmul Hasan Chowdhury, Nida Hussain, Papel Tanchangya
Copyright: © 2021 |Volume: 12 |Issue: 3 |Pages: 19
ISSN: 1947-9638|EISSN: 1947-9646|EISBN13: 9781799861065|DOI: 10.4018/IJABIM.20210701.oa30
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MLA

Ayoungman, Fairtown Zhou, et al. "User Attitude and Intentions Towards FinTech in Bangladesh." IJABIM vol.12, no.3 2021: pp.1-19. http://doi.org/10.4018/IJABIM.20210701.oa30

APA

Ayoungman, F. Z., Chowdhury, N. H., Hussain, N., & Tanchangya, P. (2021). User Attitude and Intentions Towards FinTech in Bangladesh. International Journal of Asian Business and Information Management (IJABIM), 12(3), 1-19. http://doi.org/10.4018/IJABIM.20210701.oa30

Chicago

Ayoungman, Fairtown Zhou, et al. "User Attitude and Intentions Towards FinTech in Bangladesh," International Journal of Asian Business and Information Management (IJABIM) 12, no.3: 1-19. http://doi.org/10.4018/IJABIM.20210701.oa30

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Abstract

FinTech is considered as a need for modern financial methods to compete with traditional financial methods. The combination of innovation, technology and finance develop a unique method that could be a source of economic development in developing countries. Modern technologies are essential to recognize the user attitude, behaviour and intentions towards FinTech. Hence, the key objective of the study is to investigate the user attitude and intentions towards the adoption of FinTech in Bangladesh. Under the light of the Technology Acceptance Model and Theory of Planned Behaviour, the following study used Perceived Trust, Perceived Usefulness, Perceived Compatibility, Perceived Cost Efficiency and Perceived Risk as an independent variable towards attitude and intentions of the users towards FinTech products. The study collected data from 450 FinTech users from Bangladesh and the proposed relationship among variables were measured by Structural Equation Model by using SMART-PLS. The research findings will benefit FinTech operators to create more customized services for local consumers.