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Journal of Information and Optimization Sciences cover

Journal of Information and Optimization Sciences

(Since 1980)
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

WoS  JIF 2026 : 0.4 (Q4)

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

Issues up to 2022 co-published with and available at:Taylor & Francis
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Journal of Information and Optimization Sciences
Open Access Research Article

Unleashing the fintech revolution : Transformative impacts of technology on financial services in the National Capital Region (NCR)

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pp. 1501–1514Vol. 44Issue 8November 2023DOI: 10.47974/JIOS-1472XML
Published Online:
13 Jan 2024
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1472
Pages:
1501–1514

Abstract

This research delves into the transformative impact of technological advancements and the rise of Fintech services on financial institutions operating in the National Capital Region (NCR), India. To assess this impact, a comprehensive questionnaire was formulated using a Likert scale and administered to employees across various financial institutions in the NCR. Factor analysis of the responses unveiled four key factors that collectively accounted for 69.60% of the variance: Operational Efficiency (16.43%), Profitability (15.23%), Productivity (18.69%), and Customer Trust & Perception (19.25%). These factors hold paramount significance in shaping the financial landscape, and managers are urged to prioritize them for strategic decision-making. Embracing technology-driven solutions, process automation, and customer-centric approaches can lead to increased profitability, streamlined operations, and an amplified customer base. The study’s scope is restricted to the NCR, making it vital for further research to explore Fintech’s impact in broader geographical regions or focus on specific technological innovations. As the financial industry continues to evolve, continuous monitoring and adaptation of these factors will help institutions remain competitive and ensure sustainable growth amidst a rapidly changing landscape.

Keywords

Fintech servicesOperational efficiencyProfitabilityProductivity

Subject Classifications

94A05

References

[1] Adams, R. T., Williams, L. S., & Davis, M. J., Assessing Operational Efficiency in Fintech Service Providers. Journal of Financial Technology, 15(3), 78-92 (2022).
[2] Adams, R. T., Williams, L. S., & Davis, M. J., Assessing Operational Efficiency in Fintech Service Providers. Journal of Financial Technology, 15(3), 78-92 (2022).
[3] Arner, D. W., Barberis, J., & Buckley, R. P., The Evolution of Fintech: A New Post-Crisis Paradigm? Georgetown Journal of International Law, 48(4), 1271-1322 (2017).
[4] Bornstein, M. H., Putnick, D. L., Suwalsky, J. T. D., & Gini, M., Nonprobability Sampling for Developmental Scientists. Developmental Psychology, 49(6), 1206-1218 (2013).
[5] Brown, R. S., & Garcia, S. M., Automation and Integration of Fintech Services: Assessing Productivity Gains in Financial Institutions. Journal of Digital Finance, 7(2), 45-58 (2020).
[6] Chen, L. H., Brown, K. J., & Garcia, M. A., Productivity Improvements through Fintech Solutions in Financial Institutions. Journal of Financial Innovation, 18(4), 102-117 (2023).
[7] Darvishmotevali, M., Rahmani, A., & Marhamati, F., Determining Sample Size in Non-Probability Sampling: A Simulation Study. Journal of Modern Applied Statistical Methods, 16(1), 23-35 (2017).
[8] Gulati, P., Gulati , U., Uygun, H., & Gujrati, R., Artificial Intelligence In Cyber Security: Rescue Or Challenge. Review of Artificial Intelligence in Education, 4(00), e07 (2023). https://doi.org/10.37497/rev.artif.intell.education.v4i00.7 
[9] Gujrati, Rashmi. “India’s march towards faceless, paperless, cashless economy.” International Journal of Commerce and Management Research 3.6: 73-77 (2017).
[10] Gujrati, Rashmi. “CRM for reatailers: Business intelligence in retail CRM.” International Journal of Applied Research 2.1 : 24-29 (2016).
[11] Griffiths, K., Johnson, A., & Ramirez, E., Bridging the Digital Divide in Financial Services: A Study of Digital Literacy and Access among Underserved Populations. Journal of Digital Inclusion, 7(1), 45-58 (2020).
[12] Johnson, P. Q., Smith, C. D., & Lee, R. M., Efficiency of Fintech Services in Streamlining Financial Institution Operations. International Journal of Banking and Technology, 12(1), 34-49 (2022).
[13] Kambhampati, C., Prasad, B. V., & Raj, A., Fintech and Financial Regulation: The Case for Better Alignment. Journal of Banking Regulation, 20(3), 284-298 (2019).
[14] Khan, S., Tailor, R. K., Uygun, H., & Gujrati, R., Application of robotic process automation (RPA) for supply chain management, smart transportation and logistics. International Journal of Health Sciences, 6(S3), 11051–11063 (2022). https://doi.org/10.53730/ijhs.v6nS3.8554.
[15] Kaur, G., Gujrati, R., & Uygun, H., How does AI fit into the Management of Human Resources?. Review of Artificial Intelligence in Education, 4(00), e04 (2023). https://doi.org/10.37497/rev.artif.intell.education.v4i00.4.
[16] Karatepe, O. M., Ozturk, A., & Kim, T. T., The effects of nonwork and personal resources on frontline bank employees’ work engagement and critical job outcomes. International Journal of Bank Marketing, 37(3), 858-879 (2019).
[17] Locke, G. R., Schleck, C. D., Ziegenfuss, J. Y., Beebe, T. J., Zinsmeister, A. R., & Talley, N. J., A low response rate does not necessarily indicate non-response bias in gastroenterology survey research: a population-based study. Journal of Public Health, 21(1), 87-95 (2013).
[18] Madaan, G., Kaur, M., Gowda, K. R., Gujrati, R., & Uygun, H., Business Responses Towards Corporate Social Responsibility and Sustainable Development Goals During Covid-19 Pandemic. Journal of Law and Sustainable Development, 11(1), e0309 (2023). https://doi.org/10.37497/sdgs.v11i1.309.
[19] O’Brien, K., Roberts, L., & Patel, S., Cybersecurity Challenges in Fintech Adoption: A Comprehensive Review. Journal of Information Security, 8(2), 67-82 (2021).
[20] Osman Kamari & Morad Alizadeh. The type 2 extended exponentiated family of distributions, Journal of Statistics and Management Systems, 25:8, 1735-1749 (2022), DOI: 10.1080/09720510.2021.2011115
Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). 
[21] Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903.
[22] Sao, A., Kumar, A., Bapat, G., Khan, M. S., & Singh, S., Analysing Customer Loyalty, Customer Satisfaction and Service Quality at DLF Mall of India. Marketing and Management of Innovations, 1, 146-157 (2023). https://doi.org/10.21272/mmi.2023.1-13.
[23] Sofia Khan, R. K. Tailor, Ranu Pareek, Rashmi Gujrati & Hayri Uygun. Application of Robotic Process Automation in education sector, Journal of Information and Optimization Sciences, 43:7, 1815-1834 (2022), DOI: 10.1080/02522667.2022.2128534.
[24] Sharma, V., & Teo, T. S. H., The Evolution of Fintech and Its Impact on the Financial Industry. Journal of Financial Perspectives, 7(3), 153-168 (2019).
[25] Shirina, S., Sharma, R., Agarwal, R. N., & Sao, A., Factors affecting employee engagement in higher education institution-An empirical study in NCR. Journal of Information and Optimization Sciences, 43(7), 1779-1800 (2022). https://doi.org/10.1080/02522667.2022.2128533.
[26] Smith, A. B., & Lee, R. M., Enhancing Speed and Accuracy in Financial Transactions through Fintech Services. Journal of Finance and Technology, 15(2), 45-58 (2021).
[27] Johnson, P. Q., Smith, C. D., & Lee, R. M., Efficiency of Fintech Services in Streamlining Financial Institution Operations. International Journal of Banking and Technology, 12(1), 34-49 (2022).
[28] Vijh, G., Sharma, R., & Agrawal, S., Effect of competency on employee performance and the mediating role of commitment: An empirical investigation in the IT Industry. Journal of Information and Optimization Sciences, 1573-1587 (2022). https://doi.org/10.1080/02522667.2022.2128518.
[29] Wang, X., & Wang, J., Non-Probability Sampling Techniques in Social Science Research: A Review. Research on Social Science and Humanities, 7(2), 45-58 (2017).

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