Effect of Online Banking on Performance of Microfinance Banking in Kenya

Authors

  • Eunice Wangari Ndirangu Dedan Kimathi University of Technology
  • Prof. David Kiragu, PhD Lecturer: School of Business Management and Economics: Dedan Kimathi University of Technology
  • Dr Antony Ngunyi, PhD Lecturer: School of Science: Dedan Kimathi University of Technology
  • Dr Mohamed Shano Lecturer: School of Business and Economics: Meru University of Science and Technology
  • John Githii Kimani Director: Finstock Evarsity College

DOI:

https://doi.org/10.47941/ijf.1152
Abstract views: 111
PDF downloads: 138

Keywords:

Online Banking, Performance, Microfinance Banks

Abstract

Purpose: The purpose of this study was to establish the effect of online banking on performance of microfinance banks in Kenya.

Methodology: The study adopted positivism philosophy approach and descriptive research design was used. The study used census survey and the target population was the thirteen Microfinance Banks regulated by the Central Bank of Kenya. Primary data was collected using self-administered questionnaires. Data was analysed using the Statistical Package for Social Science. Descriptive and inferential statistics were used for preliminary analysis. Factor analysis was conducted to reduce the number of factors and Kaiser Meyer Olkin and Barlett’s test of Sphericity were tested, total variance explained, scree plot and rotated component matrix were drawn.

Findings: The descriptive statistics findings disclosed that online banking has a positive effect on performance of MFBs. The overall standard deviation was 1.47, an indication of reasonably high deviation from the mean. This shows that the respondents had fairly varied view on online banking. The relationship between online banking and performance was positive with a p value of 0.018 showing that the model was statistically significant for the data set. Online banking explains 22.6% of the variation in performance of MFBs.

Unique Contribution to Theory, Practice and Policy: The MFBs needs to invest more on online banking to improve performance. Partnership with government institutions and telecommunication companies would provide the network connections and training to the population on the use of online banking services.

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References

Atavachi, B. (2013). Effects of Electrinic Banking on Financial Performance of Deposit Taking Microfinance Institutions in Kenya. Business School.

Auwal, M., & Hassan, H. (2015). The Impact of Online Banking on the Performance of Nigeria Banking Sector. international Conference of E Commerce.

Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics, 4 Ed. London: Sage Publications Ltd.

Gautam, L. (2014). E Banking in India: Issues and Challenges. Scholars Journal of Economics, Business and Management, 1 (2) 54-56.

Hair, J., Tatham, R., Anderson, R., & Black, W. (1998). Multivariate Data Analysis, 5th Ed. Pearson Publication.

Halili, R. (2014). The Impact of Online Banking on Bank Performance . Sematic Journal.

Hauwa, B., Shazida, J., & Abdul, H. (2017). The Effect of Mobile Banking on the Performance of Commercial Banks in Nigeria. International Research Journal of Management.

Hussein, D. (2013). Social Capital and Microfinance Case of Grameen Bank Bangladesh. Department of Accounting & Information Systems.

Malaquias, F., & Hwang, Y. (2018). An Empirical Study on Trust in Mobile Banking: A Developing Country Perspective. Computers in Human Behavior, 54(4) 453- 461.

Mateka, M., Gogo, J., & Omagwa, J. (2016). Effect of Internet Banking on Financial Performance of Listed Commercial Bank in Kenya. American Journal of Finance, 1(2) 53-71.

Miran, I., & Rasha, A. (2014). Evaluation and Prioritization of Internet Banking Service Quality: A Case of Egypt. International Journal of Management and Information Technology, 1393-1404.

Okiro, K., & Ndungu, J. (2013). The Impact of Mobile Banking and Internet Banking on Performance of Financial Institution in Kenya.

Osborne, J., & Waters, F. (2002). Four Assumptions of Multiple Regression that Researchers should Always Test. Practical Assessment.

Pallant, J. (2013). SPSS Survival Manual 5th Edition. London: McGraw Hill Education.

Program., U. N. (2017). Spark Scale Sustain Innovation for the Sustainable Development Goals. New York United Nations.

Safa, E., & Saha, S. (2019). Impact of Online BAnking Adoption on Banks Profitabilty Evidence from Bangladesh. European Journal of Business Management Research.

Sara, G., & Shahidur, K. (2016). How Microfinance has Reduced Rural Poverty in Bangladesh. International Food Policy Research Institute.

Van, D., & Uyen, N. (2015). Assessing Complementarity in Organization Innovation for Technological Innovation. The Role of Knowledge Management Practices. Applied Economics.

World Bank. (2017). No Poverty Africa World Bank Group. http//datatopics.worldbank.org/.

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Published

2022-12-16

How to Cite

Ndirangu, E., Kiragu, D., Ngunyi, A., Shano, M., & Kimani, J. (2022). Effect of Online Banking on Performance of Microfinance Banking in Kenya. International Journal of Finance, 7(6), 59–71. https://doi.org/10.47941/ijf.1152

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