Effectiveness of Commercial Banks’ Strategies on the Frequency of Customers’ ATM Card Usage: A Case of Commercial Banks in Embu West District, Kenya
International Journal of Accounting, Finance and Risk Management
Volume 2, Issue 4, November 2017, Pages: 138-146
Received: Jul. 17, 2017; Accepted: Aug. 8, 2017; Published: Oct. 26, 2017
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Justo Masinde Simiyu, Faculty of Business Studies, Chuka University, Chuka, Kenya
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The emergence of Automated Teller Machines (ATMs) has caused the greatest transformation in the banking industry. Its introduction significantly revolutionized the practice of banking by availing accessibility on a 24-hour day basis and reducing substantially the number of bank tellers. Despite this transformation and 23 years after the first ATM was introduced in Kenya, the ATMs have not achieved full adoption. The ATM usage stands at 13.4% nationally. This study therefore sought to explore the effectiveness of strategies applied by commercial banks in Kenya so as to achieve the full adoption of ATMs by customers. The exploratory research design was used in this study with a target population of 128,458 bank customers. Stratified random sampling was used to get a sample size of 384 bank customers and census survey was conducted for the 8 bank managers in the 8 commercial banks of Embu West district. Data collection was done using two sets of questionnaires; one for the bank managers and another one for the bank customers. The tools were pre-tested at Chuka town in Meru South district on 19 bank customers and 4 bank managers. The pre-test obtained a reliability coefficient of 0.7483 on customers’ questionnaire and 0.7128 on bank managers’ questionnaire. The two set of questionnaires were thus considered reliable because the reliability coefficient exceeded 0.70. Data analysis was done using the descriptive and inferential statistics. The results obtained from the study implied that commercial banks’ strategies of accessibility, security, cost reduction, advertising, added benefits and market segmentation were significant in influencing customer usage of ATM cards. These findings would be useful in strategy evaluation by bank managers in improving the management of the ATM delivery channels.
Automated Teller Machines, Commercial Banks Strategies, Frequency of Customer ATM Usage
To cite this article
Justo Masinde Simiyu, Effectiveness of Commercial Banks’ Strategies on the Frequency of Customers’ ATM Card Usage: A Case of Commercial Banks in Embu West District, Kenya, International Journal of Accounting, Finance and Risk Management. Vol. 2, No. 4, 2017, pp. 138-146. doi: 10.11648/j.ijafrm.20170204.12
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Ackrill, M., & Hannah, L. (2001). Barclays: The Business of Banking, 1690-1996. Cambridge UP.
Adams, K. A., &Thiebens, K. A. (1991). Automatic Teller Machines and the Older Population. Applied Ergonomics. 22(2)85-90.
Akinci, S., Aksoy, S,. & Atilgan, E. (2004). Adoption of internet banking among sophisticated segments in an advanced developing country. Consumer International Journal of Bank Marketing, Vol. 22 No. 3, pp. 212-32.
Al-Ashban, A. A,. & Burney, M. A. (2001). Customer adoption of tele-banking technology: the case of Saudi Arabia. International Journal of Bank Marketing, Vol. 19 No. 5, pp. 191-200.
Angela A. D., Coventry L, & Johnson G. I. (2002). ATM’s adoption in developing countries: Déjà vu or not. http://www.informatics.man.ac.ak/antonella.
Central Bank of Kenya (2010). Annual 2010 Central Bank of Kenya Report. Nairobi.
Davis, F. D. (1993). Perceived Usefulness, Perceived Ease of Use and User Acceptance of Information Technology. MIS Quarterly 13(3) pp. 319-340.
Filotto, U., Tanzi, P. M. and Saita, F. (1997). “Customer needs and front-office technology adoption”, International Journal of Bank Marketing, Vol. 15 No. 1, pp. 13-21.
Financial Sector Deepening (2009). Dynamics of Kenya’s changing financial landscape. http://www.fsdkenya.org/finaccess/documents/09-06-10%20FinAccess%20FA09%20Brochure.pdf
Hofstede, G. (2001). Culture’s consequences: comparing values, behaviors, institutions and organizations across nations (2nd edition). Thousand Oaks, CA: SAGE Publications
Hood, J. M. (1979). Demographics of ATMs. Bankers’ Magazine, Nov-Dec, pp 68-71.
Jayawardhena, C., & Foley, P. (2000). Changes in the banking sector – the case of internet banking in the UK. Electronic Networking Applications and Policy, Vol. 10 No. 1, pp. 19-30.
Karjaluoto, H., Mattila, M., & Pento, T. (2002). Factors underlying attitude formation towards online banking in Finland. International Journal of Bank Marketing, Vol. 20 No. 6, pp. 261-72.
Kathuri, N. J., & Pals, D. A. (2003). Introduction to Research. Egerton University, Njoro: Education Media Centre.
Kerem, K. (2002). Underlying consumer behaviour and critical success factors: Case of Estonia. Unpublished research on Adoption of electronic banking:
Kothari, C. R. (2004). Research Methodology, Methods and Techniques, second edition. New Age International (P) Ltd Publishers, New Delhi.
Little L., Brigg P., Coventry L., & Knight D. (2003). Attitudes towards technology use in public areas: The influence of external factors on ATM use. HCI international journal. 13(1), 23-34.
Macesich, G. (2000). “Central Banking: The Early Years, Other Early Banks.” Issues in Money and Banking. Westport, Connecticut. Praeger Publishers (Greenwood Publishing Group).
Mugenda, O. M., and Mugenda, A. G. (2003). Research Methods: Quantitative and Qualitative Approaches. Nairobi, Kenya. Acts Press.
Murdock, G. W., & Franz, L. (1983). Habit and Perceived Risk as Factors in the Resistance to the Use of ATMs. Journal of Retail Banking, pp.20-29.
Rogers, E. M. (2005). Diffusion of Innovations, The Free Press, New York, NY.
Rugimbana, R., & Iversen, P. (1994). International Journal of Bank Marketing, Vol. 12 No. 2, 1994, pp. 30-35© MCB University Press, 0265-2323.
Sathye, M. (1999). “Adoption of Internet Banking by Australian Consumers: an Empirical Investigation”. International Journal of Bank Marketing, Vol. 17 No. 7, pp. 324-34.
Stanley, T. J., & Moschis, G. P. (1983). The ATM-Prone Consumer: A Profile and Implications. Journal of Retail Banking 5(1)45-51.
Starvins, J. (2000): Demographics not key to consumer choices of a payment system. New England Economic Review. 56(3) 12-14.
Stevens, R. E., Warren, W. E., & Martin R. T. (1989). Non adopters of Automated Teller Machines. ABER 20(3)55-63.
Straub, D., Keil M., & Brennez. W. (1997). Testing the Technology Acceptance Model across cultures: A three country study. Journal of information and management 33, 1-11.
Zeithaml, V. A., & Gilly, M. C. (1987). Characteristics Affecting Retail Banking Technologies. A Comparison of Elderly and Non Elderly Consumers. Journal of Retailing, Vol 63 NO. 1, pp.49-80.
International Monetary Fund (2017). Geographical Outreach: Number of Automated Teller Machines (ATMs), Country Wide for Kenya© [KENFCACNUM], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/KENFCACNUM, July 21, 2017.
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