THE EFFECT OF TECHNOLOGICAL INNOVATION ON THE FINANCIAL PERFORMANCE OF COMMERCIAL BANKS IN KENYA

Authors

  • EVANGELINE WACHIRA University of Nairobi
  • Mr. Herick Ondigo University of Nairobi

DOI:

https://doi.org/10.47604/ijfa.148
Abstract views: 978
PDF downloads: 1507

Keywords:

financial performances, technological innovation, Return on Assets

Abstract

Purpose: The present study endeavored to determine the effects of technological innovation on the performance of commercial banks in Kenya.

Methodology: The study, which was a census, employed a descriptive cross sectional design and targeted all the commercial banks in Kenya. Secondary data in form of annual financial reports was obtained from Central Bank of Kenya. In addition, primary data was gathered from personnel from the customer care departments using a structured questionnaire. Data were analyzed using IBM SPSS Statistics 21.0 and involved computation of frequencies, descriptive statistics and multiple regression analysis.

Results: Most of the respondents affirmed the positive impacts of technological innovations including ease of access, convenience, user friendliness among others. The study showed that customer care employees at the banks valued technological innovations.  Moreover, the results revealed a positive and significant relationship between banks’ performance in terms of profitability and adoption of various technological innovations including customer independent technology, customer assisted technology and customer transparent technology. The combined effect of the predictor variables (customer independent technology, customer assisted technology and customer transparent technology) was positively correlated with profitability (r=0.7) with 50.8% of the variations in profitability of banks in Kenya being explained by the model.

 

Unique contribution to theory, practice and policy: The study underscored the need for banks to continuously invest in technological innovations for them to remain highly competitive

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Author Biographies

EVANGELINE WACHIRA, University of Nairobi

Post Graduate Student

Mr. Herick Ondigo, University of Nairobi

Department of Finance and Accounting,

School of Business University of Nairobi

References

Adesina, A., & Zinnah, M. (1993). Technology characteristics, farmers’ perceptions and adoption decisions: A Tobit model application in Sierra Leone. Agricultural Economics, 9, 297–311.

Aduda, J., & Kingoo, N. (2012). The Relationship between Electronic Banking and Financial Performance among Commercial Banks in Kenya. Journal of Finance and Investment Analysis, 1(3), 99-118.

Agboola, A. A. (2001). Impact of Electronic Banking on Customer Services in Lagos, Nigeria in Ife. Journal of Economics and Finance. Department of Economics, 5 (1), 8-12

Ajzen, I., & Fishbein, M. (1972). Attitudes and normative beliefs as factors influencing intentions. Journal of Personality and Social Psychology, 21, 1–9.

Akhavein, J., Frame, W.S. & White, L.J. (2005). The diffusion of financial innovation: an examination of the adoption of small business credit scoring by large banking organizations, Journal of Business, 78(2), 577-596.

Aragba-Akpore, S. (1998, 7 22). The Backbone of Banks’ Service Regeneration, Money Watch, p23.

Barr, R. S., Killgo, K. A., Siems, T. F., & Zimmel, S. (2002). Evaluating the productive efficiency and performance of US commercial banks. Managerial Finance, 28(8), 3-25.

Berger, A., Cowan, A., & Frame, W. S. (2009). The surprising use of credit scoring in small business lending by community banks and the attendant effects on credit availability and risk. Federal Reserve Bank of Atlanta Working Paper, 9.

Cooper, D. R., & Schindler, P. S. (2006). Business Research Methods (9 ed.). New Delhi: McGraw-Hill.

Crane L.M. (2011). Measuring Financial Performance: A Critical Key to Managing Risk National Crop Insurance Services, Inc.

Dang, U. (2011). The Camel Rating System In Banking Supervision A Case Study. Arcada University of Applied Sciences. International Business

Davis, F. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, 13, 319–340.

Delgado, J., Hernando, I., & Nieto, M.J. (2007). Do European primarily Internet banks show scale and experience efficiencies? European Financial Management, 13(4), 643-671.

DeYoung, R. (2001). The financial performance of pure play Internet banks. Economic Perspectives-Federal Reserve Bank of Chicago, 25(1), 60-73.

DeYoung, R. (2005). The performance of internet-based business models: evidence from the banking industry, Journal of Business, 78(3), 893-947.

DeYoung, R., Lang, W.W., & Nolle, D.L. (2007). How the Internet affects output and performance at community banks, Journal of Banking & Finance, 31(4), 1033-1060

Just, R., Silberman, D., & Feder, G. (1981). Adoption of agricultural innovations in developing countries: a survey. World Bank.

Frame, W.S., Srinivasan, A. & Woosley, L. (2001). The effect of credit scoring on small business lending, Journal of Money, Credit, and Banking, 33(3), 813-825.

Frenzel, C.W. (1996). Information Technology Management, Cambridge: Thomson Publishing Company

Furst, K., Lang, W., & Nolle, D. (2002). Internet banking, Journal of Financial Services Research, 22(1/2), 95-117.

Gilbert, R. A., & Wheelock, D. (2007). Measuring commercial bank profitability: proceed with caution. Networks Financial Institute Working Paper, (2007-WP), 22.

Hall, G. E., Loucks, S. F., Rutherford, W. L., & Newlove, B. W. (1975). Levels of use of innovation: A framework for analyzing innovation adoption. Journal of Teacher Education, 26(1), 52-56.

Hall, G.E., & Hord, S.M. (2001). Implementing change: Patterns, principles, and potholes. Boston: Allyn & Bacon.

Hernando, I. & Nieto, M.J. (2007). Is the internet delivery channel changing banks’ performance? The case of Spanish banks. Journal of Banking & Finance, 31(4), 1083-1099.

Hirtle, B., & Lopez, J. (1999). Supervisory information and the frequency of bank examinations. Economic Policy Review, 5(1).

Joseph, M., & Stone, G. (2003). An empirical evaluation of US bank customer perceptions of the impact of technology in service delivery in the banking sector. International Journal of Retail & Distribution Management, 31 (4), 190-202

Kamau, A. (2009). Efficiency and Productivity of the Banking Sector in Kenya: An Empirical

Investigation. Unpublished doctoral dissertation, University of Nairobi, Nairobi.

Kariuki, N. (2005). Six Puzzles in Electronic Money and Banking, IMF Working Paper, 19.

Kiragu .C. M. (2010).The Relationship between Profitability and Capital Adequacy of Commercial Banks in Kenya. Unpublished Master’s Thesis, University of Nairobi, Nairobi.

Kothari, C. R. (2004). Research methodology: methods and techniques (2 ed.). New Delhi: New Age International.

Mantel, B. (2000). Why do consumers pay bills electronically? An empirical analysis. Economic Perspectives-Federal Reserve Bank of Chicago, 24(4), 32-47.

Kimtai, M. (2008, 4 3). Banking the Unbanked. The standard Newspaper, p. 51.

Mugenda, O. M., &Mugenda, A.G. (2003). Research Methods: Quantitative and Qualitative Approaches (2nd ed.). Nairobi: Acts.

Mwega, F.M. (2009). Global Financial Crisis: Kenya: Discussion series. Paper 7. [Online]. May 2009.

Ngugi, N., Amanja D. & Maana L. (2006). Capital Market, Financial Deepening and Economic growth in Kenya. [Online].

Nowak, P.J. (1982). Applicability of an adoption-diffusion model to resource conservation: A supporting view. Proceedings of the Annual Meeting of Rural Sociological Society, September 1982, San Francisco, California, pp: 21-21

Oloo, O. (2009). The Banking Survey 2009. Think Business. Nairobi

Ovia, J. (2000, 1 15). From Banking Hall to E-Platform. Financial Standard, p. 36.

Place, F., & Hazell. P. (1993). Productivity effects of indigenous land tenure systems in sub-Saharan Africa. American Journal of Agricultural Economics 75(1): 10–19.

Rogers, E.M. (1995). Diffusion of Innovations (4 ed.). New York: The Free press.

Sebastian, A. P., & Lawrence, A. D. (2004). Customer Focus in Banking Services. Indian Journal of Marketing, 34(1), 3-5.

Sekaran, U. (2006). Research Methods for Business: A Skill Building Approach (4 ed.). New Delhi: John Wiley and Sons.

Venkatesh, V. (2000). Determinants of Perceived Ease of Use: Integrating Control, intrinsic motivation, and emotion into the TAM. Information Systems Research, 11(4), 342-65.

Venkatesh, V., Morris, M., Davis, G. & Davis, F. (2003). User Acceptance of Information Technology: Toward a Unified View, MIS Quarterly, 27, 425-479.

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Published

2016-11-02

How to Cite

WACHIRA, E., & Ondigo, M. H. (2016). THE EFFECT OF TECHNOLOGICAL INNOVATION ON THE FINANCIAL PERFORMANCE OF COMMERCIAL BANKS IN KENYA. International Journal of Finance and Accounting, 1(2), 61–76. https://doi.org/10.47604/ijfa.148

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