Insight into Fintech Products and Services in India among Generation Z
DOI:
https://doi.org/10.21632/irjbs.16.2.139-149Keywords:
Fintech, Generation Z, Techno Friendliness, Economic stability, AcceptabilityAbstract
The primary objective of this research is to establish a comprehensive comprehension of the attitudes harbored by Generation Z toward fintech products and services and to identify the influential factors shaping their adoption and utilization patterns. This study endeavors to provide valuable insights regarding the determinants impacting the adoption and usage of fintech within this demographic. To achieve this goal, a descriptive and exploratory research design was employed, drawing upon a sample comprising more than 200 respondents. The study offers an extensive analysis of the market landscape, key industry participants, and emerging trends that are reshaping the fintech sector. The research findings divulge that the variables such as technological compatibility, economic stability, and usage frequency have significant influence over Generation Z’s perception and willingness to embrace fintech. The results accentuate the pivotal role these factors play in shaping the level of acceptance and adoption of fintech technologies among this demographic.
References
Agyekum, F. K., Wellalage, N. H., & Locke, S. (n.d.). Financial Inclusion in Ghana; Does Institutional Context Matter?
Al-Dmour, H., Asfour, F., Al-Dmour, R., & Al-Dmour, A. (2020). Validation of the impact of marketing knowledge management on
business performance via digital financial innovation as a mediating factor. VINE Journal of Information and Knowledge
Management Systems.
Alhassan, A., Li, L., Reddy, K., & Duppati, G. (2019). The impact of formal financial inclusion on informal financial intermediation
and cash preference: evidence from Africa. Applied Economics, 51(42), 4597–4614. https://doi.org/10.1080/00036846.20
1593316
Al-Okaily, M., al Natour, A. R., Shishan, F., Al-Dmour, A., Alghazzawi, R., & Alsharairi, M. (2021). Sustainable FinTech innovation
orientation: A moderated model. Sustainability, 13(24), 13591.
Ardiansah, M., Chariri, A., Rahardja, S., & Udin, U. (2020). The effect of electronic payments security on e-commerce consumer
perception: An extended model of technology acceptance. Management Science Letters, 10(7), 1473–1480.
Barbu, C. M., Florea, D. L., Dabija, D.-C., & Barbu, M. C. R. (2021). Customer experience in fintech. Journal of Theoretical and
Applied Electronic Commerce Research, 16(5), 1415–1433.
Bhargava, S., Finneman, B., Schmidt, J., & Spagnuolo, E. (2020). The young and the restless: Generation Z in America. Age,
, 17.
Chin, K. Y., Zakaria, Z., Purhanudin, N., & Pin, C. T. U. N. (2021). A Paradigm of TAM Model in SME P2P Financing. International
Journal of Economics & Management, 15(3).
Chuang, L.-M., Liu, C.-C., & Kao, H.-K. (2016). The adoption of fintech service: TAM perspective. International Journal of
Management and Administrative Sciences, 3(7), 1–15.
Davis, F. D. (1987). User acceptance of information systems: the technology acceptance model (TAM).
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical
models. Management Science, 35(8), 982–1003.
DO, N. B., & DO, H. N. T. (2020). An investigation of generation Z’s intention to use electronic wallet in Vietnam. Journal of
Distribution Science, 18(10), 89–99.
Fernando, E., & Touriano, D. (2018). Development and validation of instruments adoption FinTech services in Indonesia
(Perspective of trust and risk). 2018 International Conference on Sustainable Information Engineering and Technology
(SIET), 283–287.
Howe, N., & Nadler, R. (2012). Why generations matter: Ten findings from lifecourse research on the workforce. Online).
Tersedia Di Https://Www. Lifecourse. Com/Assets/Files/Why% 20Generations% 20Matter% 20LifeCourse% 20Associates%
Feb, 202012.
Hu, Z., Ding, S., Li, S., Chen, L., & Yang, S. (2019). Adoption intention of fintech services for bank users: An empirical examination
with an extended technology acceptance model. Symmetry, 11(3), 340.
Lee, Y.-K. (2021). Impacts of digital technostress and digital technology self-efficacy on Fintech usage intention of Chinese Gen
Z consumers. Sustainability, 13(9), 5077.
Manta, O. (2018). Financial Technologies (FinTech), Instruments, mechanisms and financial products. Internal Auditing & Risk
Management, 52(4), 78–102.
Maulita, M., astuti Amalia, P., & Luturnas, F. B. (2022). Factors That Influence Generation Z in Using E-Wallet During COVID-19
Pandemic. International Conference on Applied Science and Technology on Social Science 2021 (ICAST-SS 2021), 96–
Mizerski, D., Wang, S., Lee, A., & Lambert, C. (2016). Young children as consumers: Their vulnerability to persuasion and its
effect on their choices. In Routledge international handbook of consumer psychology (pp. 345–364). Routledge.
Nurlaily, F., Aini, E. K., & Asmoro, P. S. (2021). What Determines Generation Z Continuance Intention of Fintech? The Moderating
Effect of Gender. 3rd Annual International Conference on Public and Business Administration (AICoBPA 2020), 281–285.
Phuong, N. T. H., Thuy, N. D., Giang, T. L., Han, B. T. N., Hieu, T. H., & Long, N. T. (n.d.). Determinants of Intention to Use Fintech
Payment Services: Evidence from Vietnam’s Generation Z.
Rabaa’i, A. A. (2021). An investigation into the acceptance of mobile wallets in the FinTech era: An empirical study from
Kuwait. International Journal of Business Information Systems, 1(1), 1.
Saleem, A. (2021). Fintech Revolution, Perceived Risks and Fintech Adoption: Evidence from Financial Industry of Pakistan.
International Journal of Multidisciplinary and Current Educational Research, 3, 191–205.
Singh, S., Sahni, M. M., & Kovid, R. K. (2021a). Exploring Antecedents of FinTech Adoption Using Adapted Technology
Acceptance Model. In Advances in Systems Engineering (pp. 337–352). Springer.
Singh, S., Sahni, M. M., & Kovid, R. K. (2021b). Exploring trust and responsiveness as antecedents for intention to use FinTech
services. International Journal of Economics and Business Research, 21(2), 254–268.
Susilo, A. Z., Prabowo, M. I., Taman, A., Pustikaningsih, A., & Samlawi, A. (2019). A comparative study of factors affecting user
acceptance of go-pay and OVo as a feature of Fintech application. Procedia Computer Science, 161, 876–884.
Umamaheswari, S., Anand, A., & Nithya, N. (2022). An empirical study on influential factor of investors’ investment towards
futures and options trading in India. AIP Conference Proceedings, 2393. https://doi.org/10.1063/5.0075127
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies.
Management Science, 46(2), 186–204.
Vijai, C. (2019). FinTech in India–opportunities and challenges. SAARJ Journal on Banking & Insurance Research (SJBIR) Vol. 8
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