Factors Affecting Adoption of Prepaid Electronic Payment Cards in Tanzania: The Case Study of Kilimanjaro Christian Medical Centre (KCMC)

Authors

  • Hument Namweli
  • Joseph Magali

DOI:

https://doi.org/10.61538/pajbm.v2i1.385

Abstract

This paper aimed at investigating the factors affecting adoption of Electronic Payment System (EPS) at Kilimanjaro Christian Medical Centre (KCMC). The crosssectional and descriptive correlational study designs were adopted where 150 clients at the outpatient clinics were selected for an interview. A structured questionnaire which was constructed based on the Technology Acceptance Model (TAM) was used. Data were analyzed by using descriptive, correlation and regression analysis. The study reveals that a majority of the clients (59%) preferred using EPS. Also, about 75% of clients indicated their intention to use EPS. The study further indicates that previous experience with the use of EPS and being banked were significant factors influencing both preferences of EPS and intention to use EPS. Moreover, middle-aged clients and high monthly income earners were the main users of EPS. The study also reveals that common barriers that hinder the adoption of EPS were poor internet connectivity and power fluctuations. This study recommends that in order to hasten the adoption of EPS it is important to address the identified barriers and also to encourage clients to use banks to keep their money. This study also recommends that KCMC should allow their clients to use mobile money transaction to pay for treatments charges. 

Author Biographies

Hument Namweli

KCMC Kilimanjaro, Moshi, Tanzania 

Joseph Magali

The Open University of Tanzania

References

Abu-Dalbouh, H. M. (2013). A questionnaire approach based on the technology acceptance model for mobile tracking on patient progress applications Journal of Computer Science, 9(6): 763-770.

Adeyinka, T. and Abdulmumin, I. (2015). Predictors of users‘ satisfaction with e-payment system: a case study of staff at the University of Ilorin, Nigeria. Organizacija, 48(4): 272- 286.

Alsamydai, M.J. (2014). Adaptation of the technology acceptance model (TAM) to the use of mobile banking services. International Review of Management and Business Research,

(4):2016- 2028.

Ajzen I., and Fishben, M. (1975). Factors influencing adoption of electronic payment cards in urban micro-payments. Basic Research Journal of Business Management and Accounts, 4(2): 62-70.

Anthony, D. and Mutalemwa, D. K. (2014). Factors influencing the use of mobile payments in Tanzania: Insights from Zantel‘s Z-pesa services. The Journal of Language, Technology and Entrepreneurship in Africa (JOLTE), 5(2): 69-90.

Ba, S., Whinston, A.B., and Zhang, H. (1999). Building trust in the electronic market through an economic incentive mechanism . ICIS 1999 Proceedings. Paper 19. http://aisel.aisnet.org/icis1999/19

Baraghani, S.N. (2007). Factors influencing the adoption of internet banking. Dissertation for the Master of Science Degree of Tarbiat Modares University, Faculty of Engineering in collaboration with Lulea University of Technology.

Belanger, F., Hiller, J. and Smith, W. (2002). Trustworthiness in electronic commerce: The role of privacy, security, and site attributes. Journal of Strategic Information Systems, 11: 245–270.

Bezhovski, Z. (2016). The Future of the Mobile Payment as Electronic Payment System. European Journal of Business and Management, 8(8):127-132.

Davis, F. (1985). A technology acceptance model for empirically testing new end-user information system: theory and results. Unpublished Doctoral dissertation, MIT Sloan School of Management, Cambrige, MA.

Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quartely, 13(3), 319-340.

Davis, F. D., Bogozzi, R., P., & Warshaw, P., R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35: 9821003.

Chen, H., Rong, W., Ma, X., Qu, Y. and Xiong, Z. (2017). An extended technology acceptance model for mobile social gaming service popularity analysis. Mobile Information Systems, Volume 2017, Article ID 3906953, 12 Pages.

Cooper, R.D. and Schindler, P.S. (2006). Business Research Methods, 9th Edition. The McGraw Hill Companies, Inc.

Daniel, T. H. (2012). Automation of System Building. McGraw-Hill Irwin, Boston.

Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3): 319-340.

Dehbini, N., Birjandi, M., and Birjandi, H. (2015). Factors influencing the adoption of electronic payment cards in urban micro-payments. Basic Research Journal of Business Management and Accounts, 4(2): 62-70.

Field, A. (2005). Discovering Statistics Using SPSS. 2nd ed. London: SAGE.

Gale, J. R. (2008). Why management information systems fail. IFM working Paper, Western Hemisphere Department, H70.

Garcia, R., and Calantone, R. (2002). A critical look at technological innovation typology and innovativeness terminology: a literature review. Journal of product Innovation Management, 19(2): 110-132.

Gujarat, D.N. and Porter, C.P. (2010). Basic econometrics, Fifth Edition. McGraw-Hill Company and China Renmin University Base.

Jonsorn, T., Kiattisin, S. and Leelasantitham, A. (2013). A study of acceptance factors for electronic payment service. ISS & MLB 24-26, Thailand. Nigerian

Johar, G. and Awalluddin, J.A.A. (2011). The role of technology acceptance model in explaining effect of e-commerce application system. International Journal of Managing Information Technology, 3(3): 1-14.

Hassan, S. U., Maman, A., and Farouk, M. A. (2013). Electronic banking products and performance of Nigerian listed deposit money banks. American Journal of Computer Technology & Application, 1(10), 138-148.

Kabir, M. A., Saidin, S. Z. and Ahmi, A. (2015). Adoption of e-payment systems: a review of literature, in Malaysia. Available online at www.icoec.myAccessed on: 22 October, 2016.

KCMC annual report, for financial year ended 30th June, 2013.

Kaur, K. and Pathak, A. (2015). E-payment system on e-commerce in India. Karamjeet Kaur Int. Journal of Engineering Research and Applications, 5(2 Part -1):79-87.

Lai, P.C (2017). The literature review of technology adoption models and theories for the novelty technology. Journal of Information Systems and Technology Management, 14(1): 21-38

Lee, H.S.H., Loke, Y.J, and Tan, A.G.K. (2013). The demand for e-payments in Malaysia: an examination of usage intensity. The Journal of Applied Economic Research, 7(4): 371-389.

Leong, E., Leong, K.F., Ewing, M.T., and Pitt, L.F. (2003). Australian marketing managers‘ perceptions of the internet: a quasi-longitudinal perspective. European Journal of Marketing, 39(4): 34-67.

Liu, Z.Y., (2014). Exploring user acceptance and intension of tax-hailing app in Shangai. Bachelor of Science Thesis in the Program Software Engineering and Management.

Mugo, D. G., Njagi, K., Chemwei, B., and Motanya, J. O. (2018). the technology acceptance model (TAM) and its application to the utilization of mobile learning technologies. British Journal of Mathematics & Computer Science, 20(4): 1-8.

Ngereza, A.K., and Iravo, A.M. (2013). Challenges influencing implementation of electronic payment systems: A case study of Kenya Airways Company. International Journal of Social Sciences and Entrepreneurship, 1(3): 509-520.

Nakhumwa, J.N. (2013). Adoption of e-commerce payment systems by commercial banks in Kenya. MBA Thesis, University of Nairobi.

Nunnally, J.C. (1978). Psychometric Theory, (2nd ed). New York: McGraw-Hill.

Nwaolisa, E.F, and Kasie, E.G. (2012). Electronic retail payment systems: User acceptability and payment problems in Nigeria. Arabian Journal of Business and Management Review (OMAN Chapter), 1(6): 18-35.

Nyamiaka, S.D. (2015). Effects of e-payment on operational risk management: a case of private universities Kenya. MBA Dissertation, United States International University Africa.

Oh, S., Kurnia, S., Johnston, R.B., Lee, H., and Lim, B. (2006). A stakeholder perspective on successful electronic payment systems diffusion. Hawaii International Conference on Systems Sciences (HICSS-39), Hawaii.

Okifo, J, and Igbunu, R. (2015). Electronic payment systems in Nigeria: its economic benefits and challenges. Journal of Education and Practice, 6(16): 56-62.

Oney, E., Guven, G. O. and Rizvi, W. H. (2017). The determinants of electronic payment systems usage from consumers‘ perspective. Economic Research-Ekonomska Istraživanja, 30(1):394-415

Rogers, E. (1995). Diffusion of innovations. The Free Press, New York, USA

Rumanyika, J.D. (2015). Obstacles towards adoption of mobile banking in Tanzania: A Review. International Journal of Information Technology and Business Management, 35(1):1-17.

Shore, L., Power, V., Eyto, A., and O‘Sullivan, L. W. (2018). Technology acceptance and user-centred design of assistive exoskeletons for older adults: a commentary. Robotics, 7(3): 2-13.

Soboke, O.E. (2015). Factors influencing adoption of electronic payment by small and medium hotel enterprises in Kisii County, Kenya. International Journal of Novel Research in Computer Science and Software Engineering, 2(2): 5-18.

Suyono, E. (2012). Determinant factors affecting the audit quality: An Indonesian Perspective. Global Review of Accounting and Finance Journal, 3(2):1-16.

Taddesse, W, and Kidan, T.G. (2005). E-payment: challenges and opportunities in Ethiopia. United Nations, Economic Commission for Africa.

Tella, A. (2012). Determinants of e-payment systems success: A user satisfaction perspective. International Journal of E-adoption, 4(3): 15-38.

Tella, A., and Olasina, G. (2014). Predicting users‘ continuance intention towards e-payment system: An extension of the technology acceptance model. International Journal of Information Systems and Social Change, 5(1): 47-67.

Teoh, W.M.Y, Chong, S.C, and Chua, J.W. (2013). Factors affecting consumers‘ perception of electronic payment: An empirical analysis. Internet Research, 23(4): 465485.Wahid, F. (2007). Using the technology adoption to analyze internet adoption and use among men and women in Indonesia. Electronic Journal of Information Systems in Developing Countrie, 32(6): 1-8. Venkatesh, V. and Davis, F.D (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46(2):186-204.

Waithaka, S. T., and Mnkandla, E. (2017). Challenges facing the use of mobile applications for e-commerce in Kenya‘s manufacturing industry. EJISDC, 83(1): 1-25.

Walton, G. (2009). technology push or program pull: interest in new information technologies. Prentice Hall Englewood Cliffs, pp 73.

Wangpipatwong, S., Chutimaskul W., and Papasratorn B. (2008). Understanding citizen‘s continuance intention to use e-government website: A composite view of technology acceptance model and computer self-efficacy. The Electronic Journal of eGovernment, 6(1): 55-64.

Wei, Z. and Lee, M and Shen, H. (2018). What drives consumers in China to buy clothing online? Application of the technology acceptance model. Journal of Textiles and Fibrous Materials, 1: 1–10.

Downloads