April 2025

Volume 08 Issue 04 April 2025
Effect of Financial Innovation on Credit Risk A Case Study of Non-Performing Loan Ratio of Commercial Banks in Kenya
1Stephen Ndegwa Nderitu, 2Dr. Gordon Opuodho
1,2School of Business, College of Human Resource and Development, Jomo Kenyatta University of Agriculture and Technology, Kenya
1ORCID ID: 0009-0004-0869-1050
2ORCID: 0009-0007-9560-2117
DOI : https://doi.org/10.47191/ijsshr/v8-i4-05

Google Scholar Download Pdf
ABSTRACT

Financial innovation is a process with no certainty thus the need for it to be introduced to the market as the diminishment of costs and the reduction of chance exposure as part of a financial function. Credit risk the probability of the expected pay back on a speculation or lending will differ from expectations. The aim of the study was to establish the effect of financial innovation mainly Mobile money innovation and Internet banking innovation have on Non-performing loan ratio as a credit risk of commercial banks in Kenya, focusing on the operational main forty two commercial banks that were registered from 2013 to 2022 that were the target group that formed the unit of examination. Secondary data was utilized from the readily available data from yearly distributed monetary reports, Central Bank of Kenya (CBK). From the research findings Mobile money innovation and Internet banking innovation had a positive influence on non-performing loan ratio of commercial banks in Kenya. Literature on the association of innovation and credit risk is available. Researchers from different backgrounds and areas have vastly examined the vast aspects of innovation and credit risk. But most fail to elaborate or indicate and are focused on innovation and credit risk as dependent variables and also the influence innovation has on credit risk. The implications of the study on theory, policy and practice. The research findings add to the solidification of the present body of literature by affirming that organizational resources influence credit risk of commercial banks.

REFERENCES
1) Ala, M. O. (2013). Influence of mobile banking on growth of Micro Finance Institutions in Kenya. International Journal of Social Science and Entrepreneurship, 1-18.

2) Altamony, H. A. (2016). The relationship between change management strategy and successful enterprise resource planning (ERP) implementations. International Journal of Business Management and Economic Research, 690-703.

3) Baesens, B. R. (2016). Credit risk analytics: Measurement techniques, applications, and examples in SAS. John Wiley & Sons.

4) Central Bank of Kenya. (2017). Annual Report. Nairobi: Central Bank of Kenya.

5) Cooper Donald, R. &. (2003). Business research methods. New York.

6) DeYoung.R. (2015). The Finanacial Performance of Pure Play Internet Banks. Economic Perspectives, 60-75.

7) Dunk, A. S. (2011). Product innovation, budgetary control, and the financial performance of firms. . The British Accounting Review,, 102-111.

8) Fox, J. (2015). Applied regression analysis and generalized linear models. Thousand Oaks: Sage Publications.

9) Githakwa, P. W. (2011). The relationship between financial innovation and profitability of commercial banks in Kenya. Nairobi: University of Nairobi.

10) Kejriwal, M. &. (2010). Testing for multiple structural changes in cointegrated regression models. Journal of Business & Economic Statistics, 503-522.

11) Kline, R. B. (2011). Principles and Practice of Structural Equation Modeling. Third Edition. New York: Guilford Press.

12) Koch, C. (2011). Enterprise Resource Planning: Information technology as a steamroller for management politics. Journal of Organizational Change Management, , 64-78.

13) Kontio, E. L.-L. (2014). Enterprise resource planning systems in healthcare: A qualitative revie. International Journal of Information Systems in the Service Sector, 36-50.

14) Kumar, R. (2018). Research methodology: A step-by-step guide for beginners. Research methodology, , 1-528.

15) Marangunić, N. G. (2015). Technology acceptance model: a literature review from 1986 to 2013. Universal access in the information societ, 81-95.

16) Mbogoh, G. M. (2013). The effect of financial innovation on financial performance of insurance companies in Kenya. Nairobi: University of Nairobi.

17) Mwinzi, D. M. (2014). The effect of financial innovation on economic growth in Kenya . Nairobi: University of Nairobi.

18) Nader, A. (2011). The effect of banking expansion on profit efficiency of Saudi banks. International Conference on Business and Economic Research, 6-12.

19) Nkoro, E. &. (2016). Autoregressive Distributed Lag (ARDL) cointegration technique: application and interpretation. Journal of Statistical and Econometric methods, 63-91.

20) Nyaga, K. M. (2017). The impact of mobile money services on the performance of small and medium enterprises in an urban town in Kenya . Nairobi: KCA University.

21) Osborne, J. W. (2002). Four assumptions of multiple regression that researchers should always test. Practical Assessment, Research, and Evaluation, 1-2.

22) Oso, W. Y. (2011). Writing Research Proposal and Report: A Handbook for Beginning Researchers. Nairobi: The Jomo Kenyatta Foundation.

23) Rogers, E. M. (2014). Diffusion of innovations. In An integrated approach to communication theory and research. Routledge.

24) Waweru, E. W. (2012). The Effect of Financial Innovations and Risk Management of Commercial Banks in Kenya. School of Business, University of Nairobi.

25) Xuemei Xie, J. H. (2019). Green process innovation, green product innovation, and corporate financial performance. Journal of Business Research, 697-706.
Volume 08 Issue 04 April 2025

Indexed In

Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar