MOBILE BANKING AND FINANCIAL PERFORMANCE OF TIER ONE COMMERCIAL BANKS IN KENYA

SAMUEL NJOGU MWAURA, DANIEL MAKORI, PhD

Abstract


The research investigated the influence of mobile financial transactions on performance of the Kenyan commercial bank institutions. The study's   specific   objectives   are   as   follows:   to   determine the    impact    of    mobile banking transactions, volume and products on the financial performance of Tier 1 commercial banks in Kenya. The study used a descriptive research strategy. The study utilized secondary data in answering the research objectives proposed. The study adopted a census of all tier one banks. Data analysis was done by using descriptive statistics which included percentages, means and standard deviation. Data analysis also includes regression analysis and diagnostic testing. The results of the study confirm that the financial performance of tier-one commercial banks is significantly affected by the adoption of mobile banking services. Precisely, mobile banking products were found to be significant at β =0.350, p- value = 0.010 in influencing bank financial performance. The cost of mobile banking transactions was also found to be positively significant β = 0.507, p value = 0.000 for financial performance. There was a positive and significant effect of mobile banking transaction volume β=0.233, p- value=0.054 to financial performance of tier one commercial banks in Kenya. The results have also indicated that mobile banking is an emerging trend in which case commercial banks are utilizing it as a competitive strategy. The study offered recommendations that can be adopted by tier one banks in R&D, customer education and awareness creation and identifying emerging customer needs for more adoption of mobile banking for enhanced financial performance. In addition, the study made suggestions that can be utilized by future studies.

 

Key words: Mobile Banking, Transaction costs, Transaction Volume, Mobile Banking Products

 

CITATION: Mwaura, S. N., &  Makori, D. (2024). Mobile banking and financial performance of tier one commercial banks in Kenya. The Strategic Journal of Business & Change Management, 11 (4), 738 – 758. . http://dx.doi.Org/10.61426/Sjbcm.v11i4.3116


Full Text:

PDF

References


Abong’o, D. (2016). Effect of mobile banking on performance of commercial banks in Kenya. KCA University; 1-102.

Agwu, E. & Adele, C. (2014). Mobile phone banking in Nigeria: Benefits, problems, and prospects. International Journal of Business and Commerce, 3(6); 50-70.

Ahlstrom, D. (2010). Innovation and Growth: How Business Contributes to Society.

Academy of Management Perspectives, 24 (3): 11–24.

Akwesi, A., Migiro, S. & Mutambara, E. (2016). Mobile banking in South Africa: A systematic review of the literature. Journal of Banks and Bank Systems, 11(1); 34-41.

Alsmadi, A. A., Shuhaiber, A., Alhawamdeh, L. N., Alghazzawi, R., & Al-Okaily, M. (2022). Twenty years of mobile banking services development and sustainability: A bibliometric analysis overview (2000–2020). Sustainability, 14(17), 10630.

Cane, S., McCarthy, R. & Halawi, L. (2010). Training Military Commanders with Simulation: A Phenomenological Study of Task-Technology Fit. Journal of Computer Information Systems, 50(3); 33-40.

Chepkemoi, J. (2015). The effect of mobile banking on the financial performance of commercial banks in Kenya. University of Nairobi Theses Repository; 1-64.

Coderias, S. (2017). The impact of mobile banking on commercial banks in Kenya. United States International University, 1-85.

Collis, J. & Hussey, R. (2014). Business Research: A Practical Guide for Undergraduate and Postgraduate Students, 4th edition. Palgrave Macmillan.

Creswell, J. (2014). Research design: qualitative, quantitative, and mixed methods approach, (4th Ed.). Thousand Oaks: Sage.

Davis D.D. (2008). Market Power and Collusion in Laboratory Markets. PalgraveMacmillan, London.

Dhakal, C. P. (2018). Intepreting the basic outputs (SPSS) of multiple linear regression. International Journal of Science and Research (IJSR)., 7(426).

Diaz, C.A. (2012). Theories of markets: Insights from marketing and the sociology of markets. The Marketing Review Journal, 12 (1): 61–77.

Dickey, D. & Fuller, W. A. (2011). Distribution of the Estimators for Autoregressive Time Series with a Unit Root. Journal of the American Statistical Association, 74 (366): 427–431.

Fama, E. (2013). Two Pillars of Asset Pricing. Prize Lecture for the Nobel Foundation.

Fathema, N. & Sutton, K. (2013). Factors influencing faculty members' Learning Management Systems adoption behavior: An analysis using the Technology Acceptance

Model. International Journal of Trends in Economics Management & Technology,

(11): 20–28.

Fathema, N., Shannon, D. & Ross, M. (2015). Expanding the Technology Acceptance Model (TAM) to examine faculty use of Learning Management Systems. Journal of

Online Learning and Teaching, 11 (2): 210–233.

Gathu, R. M., & Njenga, P. (2021). Effect of Mobile Banking on the Performance of Co-operative Bank of Kenya. Journal of Finance and Economics, 9(5), 193-200.

Gichuki, J. & Jagongo, A. (2018). Electronic banking and accessibility of financial services in commercial banks: Theoretical and empirical literature review. International Journal of Management and Commerce, 5(2); 818-828.

Goyal, V., Pandey, S. &Batra, S. (2015). Mobile banking in India: Practices, challenges and security issues. International Journal of Advanced Trends in Computer Science and Engineering, 1(2); 56-67.

Gupta, S. (2017). The mobile banking and payment revolution. European Financial Review and Innovation Journal, 1(3); 1-4.

Kankanhalli, A., Tan, B. & Wei, K. (2015). Understanding Seeking from Electronic Knowledge Repositories: An Empirical Study. Journal of the American Society

for Information Science and Technology, 5(11); 1156-1166.

Kathuo, S. (2016).Effect of mobile banking on the financial performance of banking institutions in Kenya. The Strategic Journal of Business and Change Management, 2(98); 1440-1457.

Kiprop, V., Ayuma, C. & Kemboi, A. (2016). Effects of mobile banking on the financial performance of commercial banks in Kapsabet (Kenya): A case of selected banks

in Kapsabet Town. Journal of Business and Management, 18(10); 37-47.

Kirui, R. (2016). Effect of mobile money services on sales of micro and small enterprises in Nakuru town, Kenya. Egerton University; 1-73.

Mabwai, F. (2016). Effects of mobile banking on the financial performance of commercial banks in Kenya. University of Nairobi Theses; 1-44.

Maina, D. W., & Mungai, J. (2019). Mobile banking services and financial performance of tier one commercial banks in Kenya. International Academic Journal of Economics and Finance, 3(4), 232-254.

Mandelbrot, B. (1963). The Variation of Certain Speculative Prices. The Journal of Business, 36 (4): 394.

Mikae, K., & Mogwambo, V. (2022). Influence of mobile banking on the financial performance of Sacco's in Kenya, Kisii County. International Journal of Social Sciences and Information Technology., VIII(X).

Mohamed, H. & Omar, N. (2018). Effects of mobile transaction costs on the financial performance of small and medium enterprises in Mogadishu, Somalia.

International Journal of Academics and Research, 1(1); 122-141.

Mohamed, H. (2019). Effect of mobile banking on the financial performance of commercial banks in Kenya. United States International University, 1-104.

Mugane, M., & Njuguna, R. (2019). Mobile banking services with financial performance on commercial banks in Kenya. International Journal of Current Aspects., 3(VI), 176-192.

Muhammad, S., Ali, T., Tariq, E. & Shah, F. (2015). Impact of individualism and collectivism over the individual's technology acceptance behavior: A multi-group analysis between Pakistan and Turkey. Journal of Enterprise Information Management, 28 (6): 747–768.

Muiruri, K., Richu, S. & Karanja, G. (2015). Role of mobile banking in enhancing financial performance of SMEs in Kenya. International Journal of Economics, Commerce

and Management, 3(10); 604-619.

Mwange, J. (2013). The impact of mobile banking on financial performance of commercial banks in Kenya. University of Nairobi, 1-51.

Mwita, D. W., M, E., N., G. D., & Maundu, S. (2023). The effect of mobile banking on financial performance of commercial banks listed in Nairobi Securities Exchange. Journal of Economics, Finance and Business Analysis., 1(1), 39-46.

Nadri, H., Rahimi, B., Lotf, H., Samadbeik, M. & Garavand, A. (2018). Factors Affecting Acceptance of Hospital Information Systems Based on Extended Technology Acceptance Model: A Case Study in Three Paraclinical Departments. Applied Clinical Informatics, 09 (2): 238–247.

Ndirangu, B. (2014). The effect of Mobile Banking on financial performance of commercial banks in Kenya. University of Nairobi, 1-78.

Nosedal, A. (2019). The autocorrelation function and AR (1), AR(2) models. University of Toronto.

Obadia, R., & Kumungunyi, S. (2022). Influence of mobile banking on financial performance of listed tier one commercial banks in Kenya. International Research Journal of Economics and Finance (IRJP), 4(2), 256-267.

Oganda, J., Mogwambo, V. & Otieno, S. (2019). Effect of non-performing loans on performance of commercial banks in Kenya: A comparative study between NBK

Ltd and Equity Bank Ltd. Strategic Journal of Business and Change Management, 6(2); 2430-2443.

Okafor, D. J., Nico, M. &Azman, B. B. (2016).The influence of perceived ease of use and perceived usefulness on the intention to use a suggested online advertising workflow. Canadian International Journal of Science and Technology, 6 (14), 162-174.

Okenyuri, N. L. Transaction Costs of Safaricom Mobile Phone Banking System and the Efficiency of Bill Payment in Kisii County.

Onsarigo, M. & Murugesan, S. (2014). Performance indicators of Kenya Commercial Banks.

Research Gate Publications, 1(2); 23-41.

Otieno, C. (2018). The effect of Mobile Banking on financial performance of commercial banks in Kenya. University of Nairobi, 1-68.

Peilei, F. (2011). Innovation capacity and economic development: China and India.

Economic Change and Restructuring Journal, 44 (2): 49–73.

Rahimi, B., Nadri, H., Hadi, L. &Timpka, T. (2018). A Systematic Review of the Technology Acceptance Model in Health Informatics. Applied Clinical Informatics, 09 (3): 604–634.

Roth, S. (2012). Leaving commonplaces on the common place: Cornerstones of a polyphonic market theory. Journal for Critical Organization Inquiry, 10 (3): 43–52.

Samuelson, P. (2015). Proof that Properly Anticipated Prices Fluctuate Randomly. The World Scientific Handbook of Futures Markets, World Scientific Handbook in Financial Economics Series, 5, WORLD SCIENTIFIC, pp. 25–38.

Schumpeter, J. (2016). Schumpeter's Business Cycles: A Theoretical, Historical, and Statistical Analysis of the Capitalist Process. Business History Review.

Schwert, G. (2003). Anomalies and market efficiency. Handbook of the Economics of Finance, doi: 10.1016/S1574-0102(03)01024-0.

Senthilnathan, S. (2019). Usefulness of correlation analysis. SSRN Electronic Journal. doi:10.2139/ssrn.3416918

Shaikh, A. & Heikki, K. (2015). Mobile banking adoption: A literature review. Telematics and Informatics Journal, 32(1); 129-142.

Swedberg, R. (2013). Joseph A. Schumpeter: His Life and Work. John Wiley & Sons.

Tam, C. & Tiago, O. (2015). Literature review of mobile banking and individual performance. International Journal of Bank Marketing, 35(1); 14-26.

Vasquez, A. R. (2020). Interpreting summary function output for regression model in R. ResearchGate. doi:10.13140/RG.2.2.36816.05124

Wadada, R. (2019). Significance of m-banking on business performance. Journal of Business and Economics, 6(1); 19-31.

Wadhwa, S. (2017). Impact of m-banking on profitability of scheduled commercial banks.

International Journal of Control Theory and Applications, 10(40); 137-159.

Westland, J. C. (2016). Global Innovation Management. Macmillan International. Williams, R. (2020). Heteroskedasticity. University of Notre Dame.

Ziemnowicz, C. (2020). Joseph A. Schumpeter and Innovation. Springer.




DOI: http://dx.doi.org/10.61426/sjbcm.v11i4.3116

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

PAST ISSUES:
20242023202220212020201920182017201620152014
Vol 11, No 4 [2024]Vol 10, No 4 [2023]Vol 9, No 4 [2022]Vol 8, No 4 [2021]Vol 7, No 4 [2020]Vol 6, No 4 [2019]Vol 5, No 4 [2018]Vol 4, No 4 [2017]Vol 3, No 4 [2016]Vol 2, No 2 [2015]Vol 1, No 2 [2014]
 Vol 11, No 3 [2024] Vol 10, No 3 [2023] Vol 9, No 3 [2022]Vol 8, No 3 [2021]Vol 7, No 3 [2020]Vol 6, No 3 [2019]Vol 5, No 3 [2019]Vol 4, No 3 [2017]Vol 3, No 3 [2016]Vol 2, No 1 [2015]Vol 1, No 1 [2014]
 Vol 11, No 2 [2024] Vol 10, No 2 [2023] Vol 9, No 2 [2022]Vol 8, No 2 [2021]Vol 7, No 2 [2020]Vol 6, No 2 [2019]Vol 5, No 2 [2018]Vol 4, No 2 [2017]Vol 3, No 2 [2016]  
 Vol 11, No 1 [2024] Vol 10, No 1 [2023] Vol 9, No 1 [2022]  Vol 8, No 1 [2021]Vol 7, No 1 [2020]Vol 6, No 1 [2019]Vol 5, No 1 [2018]Vol 4, No 1 [2017]Vol 3, No 1 [2016]   


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.