Determinants of FinTech and Internet of Things for Technological Disruption: A New-Age Sustainable and Comprehensive Outlook
DOI:
https://doi.org/10.31305/rrijm.2023.v08.n03.016Keywords:
Financial technology (FinTech), IoT, AI, Big-data, Digitalization, Technological DisruptionAbstract
Financial institutions work very diligently to make finance smarter in the present global trend to reap the rewards of digitization. Financial technology (FinTech) uses various modern disruptive technologies to improve client services, including AI-ML-DL, 5G, Big Data, Cloud, Blockchain, Metaverse, and IoT. Many critical financial assistance and procedures, including lending, verification, fraud finding, and credit scoring, will be streamlined and improved by the advent of technology. Yet, there is a need to develop innovative financial products and a supportive technological environment. To introduce new-age ICT solutions, various tech giants have emphasized FinTech. Financial institutions, including insurance, brokers, online traders, banks, etc., must now shift concerning data-driven expertise because FinTech services primarily rely on data. Also, to provide financial stability, FinTech can be used for ubiquitousness, safety, and rigorous regulations. The paper aims to enunciate emerging trends and key FinTech applications that would disrupt the near future. For some use cases, we also try to present a high-level framework of the FinTech determinants and IoT. The paper is the first attempt to outline future ways for FinTech to investigate while looking upfront at potential difficulties.
References
Bhat, J. R., AlQahtani, S. A., & Nekovee, M. (2022). FinTech enablers, use cases, and role of future internet of things. Journal of King Saud University - Computer and Information Sciences, 35(2), 87–101. https://doi.org/10.1016/j.jksuci.2022.08.033
Cornelli, G., Frost, J., Gambacorta, L., Rau, P. R., Wardrop, R., & Ziegler, T. (2023). Fintech and big tech credit: Drivers of the growth of digital lending. Journal of Banking and Finance, 148, 106742. https://doi.org/10.1016/j.jbankfin.2022.106742
Croutzet, A., & Dabbous, A. (2021). Do FinTech trigger renewable energy use? Evidence from OECD countries. Renewable Energy, 179, 1608–1617. https://doi.org/10.1016/j.renene.2021.07.144
Dadhich, Manish, Shalendra Singh Rao, Renu Sharma, R. M. (2021). Analytical Study of Stochastic Trends of Non- Performing Assets of Public and Private Commercial Banks in India. 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN) Analytical, 71–76. https://doi.org/10.1109/ICAC3N53548.2021.9725463
Dadhich, M. (2017). Impact of Demonetization on Indian Economy. International Journal of Research in Social Sciences, 7(8), 208–215.
Dadhich, M., Doshi, R., Rao, S. S., & Sharma, R. (2022). Estimating and Predicting Models Using Stochastic Time Series ARIMA Modeling in Emergent Economy. In R. Kumar, C. W. Ahn, T. K. Sharma, O. P. Verma, & A. Agarwal (Eds.), Soft Computing: Theories and Applications (pp. 295–305). Springer Nature Singapore.
Dadhich, M., Hiran, K. K., Rao, S. S., & Sharma, R. (2022). Impact of Covid-19 on Teaching-Learning Perception of Faculties and Students of Higher Education in Indian Purview. Journal of Mobile Multimedia, 18(4), 957–980. https://doi.org/10.13052/jmm1550-4646.1841
Dadhich, M., Hiran, K. K., Rao, S. S., Sharma, R., & Meena, R. (2022). Study of Combating Technology Induced Fraud Assault (TIFA) and Possible Solutions: The Way Forward. In V. E. Balas, G. R. Sinha, B. Agarwal, T. K. Sharma, P. Dadheech, & M. Mahrishi (Eds.), Emerging Technologies in Computer Engineering: Cognitive Computing and Intelligent IoT (pp. 715–723). Springer International Publishing.
Dadhich, M., & Kant, K. (2022). Empirical investigation of extended TOE model on Corporate Environment Sustainability and dimensions of operating performance of SMEs : A high order PLS-ANN approach. Journal of Cleaner Production, 363, 1–16. https://doi.org/10.1016/j.jclepro.2022.132309
Dadhich, M., Poddar, S., & Kant, K. (2022). Antecedents and consequences of patients' adoption of the IoT 4.0 for e-health management system : A novel PLS-SEM approach. Smart Health, 25(5), 1–14. https://doi.org/10.1016/j.smhl.2022.100300
Dadhich, M., & Tiwari, H. (2022). Quantum Blockchain for Smart Society: Applications, Challenges, and Opportunities. In Advancements in Quantum Blockchain With Real-Time Applications, IGI Global (pp. 178–198). https://doi.org/10.4018/978-1-6684-5072-7.ch009
Ding, N., Gu, L., & Peng, Y. (2022). Fintech, financial constraints and innovation: Evidence from China. Journal of Corporate Finance, 73(4), 1–15. https://doi.org/10.1016/j.jcorpfin.2022.102194
Fasano, F., & Cappa, F. (2022). How do banking fintech services affect SME debt? Journal of Economics and Business, 121(1), 106070. https://doi.org/10.1016/j.jeconbus.2022.106070
G. K. Singh, M. Dadhich, V. C. and A. S. (2021). Impact of Big Data Analytics & Capabilities on Supply Chain Management (SCM) - An Analysis of Indian Cement Industry. 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), Greater Noida, India, 313–318. https://doi.org/10.1109/ICAC3N53548.2021.9725531
Gaurav Kumar Singh, M. D. (2022). Assessment of Multidimensional Drivers of Blockchain Technology (BoT) in Sustainable Supply Chain Management (SSCM) of Indian Cement Industry: A Novel PLS-SEM Approach. In International Journal of Logistics Systems and Management. https://doi.org/10.1504/IJLSM.2022.10045308
Giaretta, E., & Chesini, G. (2021). The determinants of debt financing: The case of fintech start-ups. Journal of Innovation and Knowledge, 6(4), 268–279. https://doi.org/10.1016/j.jik.2021.10.001
Huang, S. Y. B., & Lee, C. J. (2022). Predicting continuance intention to fintech chatbot. Computers in Human Behavior, 129(130), 107027. https://doi.org/10.1016/j.chb.2021.107027
Le, M. T. H. (2021). Examining factors that boost intention and loyalty to use Fintech post-COVID-19 lockdown as a new normal behavior. Heliyon, 7(8), 1–9. https://doi.org/10.1016/j.heliyon.2021.e07821
Luo, S., Sun, Y., Yang, F., & Zhou, G. (2022). Does fintech innovation promote enterprise transformation? Evidence from China. Technology in Society, 68, 101821. https://doi.org/10.1016/j.techsoc.2021.101821
Luo, S., Sun, Y., & Zhou, R. (2022). Can fintech innovation promote household consumption? Evidence from China family panel studies. International Review of Financial Analysis, 82(3), 1–16. https://doi.org/10.1016/j.irfa.2022.102137
M. Dadhich, M. S. Pahwa, S. G. and S. S. R. (2021). Analytical Study of Financial Wellbeing of Selected Public and Private Sector Banks: A CAMEL Approach. IEEE Explore, Emerging Trends in Industry 4.0 (ETI 4.0), 1–6. https://doi.org/10.1109/ETI4.051663.2021.9619424.
Manish Dadhich, Kamal Kant Hiran, Shalendra Singh Rao, R. S. (2022). Factors Influencing Patient Adoption of the IoT for E-Health Management Systems (e-HMS) Using the UTAUT Model: A High Order SEM-ANN Approach. International Journal of Ambient Computing and Intelligence (IJACI), 13(1), 18. https://doi.org/10.4018/IJACI.300798
Manish Dadhich, Manvinder Singh Pahwa, Vipin Jain, R. D. (2021). Predictive Models for Stock Market Index Using Stochastic Time Series ARIMA Modeling in Emerging Economy. Advances in Mechanical Engineering, 281–290. https://doi.org/10.1007/978-981-16-0942-8_26.
Manvinder Singh Pahwa, Manish Dadhich, Jaskaran Singh Saini, D. kumar S. (2021). Use of Artificial Intelligence (AI) in the Optimization of Production of Biodiesel Energy. In Artificial Intelligence for Renewable Energy Systems (p. 230). Scrivener Publishing, Wiley. https://doi.org/doi.org/10.1002/9781119761686.ch11
Milian, E. Z., Spinola, M. de M., & Carvalho, M. M. d. (2019). Fintechs: A literature review and research agenda. Electronic Commerce Research and Applications, 34(1), 1–14. https://doi.org/10.1016/j.elerap.2019.100833
Muganyi, T., Yan, L., & Sun, H. ping. (2021). Green finance, fintech and environmental protection: Evidence from China. Environmental Science and Ecotechnology, 7, 1–8. https://doi.org/10.1016/j.ese.2021.100107
Muhammad, S., Pan, Y., Magazzino, C., Luo, Y., & Waqas, M. (2022). The fourth industrial revolution and environmental efficiency: The role of fintech industry. Journal of Cleaner Production, 381, 1–10. https://doi.org/10.1016/j.jclepro.2022.135196
PK Panigrahi, S Sethy, M. D. (2022). An Empirical Evaluation of Internet of Things (IoT) Implementations in the Libraries. RESEARCH REVIEW International Journal of Multidisciplinary, 7(10), 116–124. https://doi.org/10.31305/rrijm.2022.v07.i10.014
Purohit, H., Dadhich, M., & Ajmera, P. K. (2022). Analytical study on users' awareness and acceptability towards adoption of multimodal biometrics (MMB) mechanism in online transactions : a two-stage SEM-ANN approach. Multimedia Tools and Applications, 1, 1–25. https://doi.org/10.1007/s11042-022-13786-z
Schulz, K., & Feist, M. (2021). Leveraging blockchain technology for innovative climate finance under the Green Climate Fund. Earth System Governance, 7, 1–10. https://doi.org/10.1016/j.esg.2020.100084
Yang, Y., Su, X., & Yao, S. (2021). Nexus between green finance, fintech, and high-quality economic development: Empirical evidence from China. Resources Policy, 74, 1–11. https://doi.org/10.1016/j.resourpol.2021.102445
Zhou, G., Zhu, J., & Luo, S. (2022). The impact of fintech innovation on green growth in China: Mediating effect of green finance. Ecological Economics, 193, 107308. https://doi.org/10.1016/j.ecolecon.2021.107308
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
This is an open access article under the CC BY-NC-ND license Creative Commons Attribution-Noncommercial 4.0 International (CC BY-NC 4.0).