Determinants of Electronic Payment System Adoption in Nigeria: An Integrated Tam and Delone & Mclean Model Approach.

This study develops an integrated theoretical framework combining the Technology Acceptance Model (TAM) and the DeLone and McLean's Information Systems Success Model is utilized to analyze the factors influencing the acceptance of electronic payment systems (EPS) in Nigeria .This model includes elements such as system quality, service quality, perceived usefulness, perceived ease of use, perceived risk, trust, and infrastructure challenges are identified as contextual obstacles impacting adoption results in a developing country, On the other hand, users' views and behavioral intentions about EPS utilization are found to be predicted by company reputation. 3,450 valid responses were gathered from clients of particular commercial banks in Southwestern Nigeria using a quantitative survey design. Data were analyzed using multiple regression and principal component analysis.

Findings reveal that system quality (β = 0.237, p < 0.001), service quality (β = 0.410, p = 0.002), perceived usefulness (β = 0.119, p = 0.004), perceived ease of use (β = 0.306, p = 0.001), perceived risk (β = 0.237, p < 0.001), trust (β = 0.010, p < 0.001), and organizational reputation (β = 0.267, p < 0.001) significantly influence users’ attitudes toward EPS adoption. Furthermore, attitude significantly predicts behavioral intention to use EPS.

Infrastructural constraints such as erratic electricity supply, poor internet connectivity, and high operational costs were identified as major barriers to adoption. The study concludes that EPS adoption in Nigeria is shaped by a combined influence of technological, behavioral, trust-based, and infrastructural factors.

The study extends TAM and DeLone–McLean models by introducing infrastructural constraints as contextual determinants in developing economies. The findings offer implications for policymakers, financial institutions, and digital payment service providers in strengthening digital payment ecosystems.

Electronic Payment System, Trust, System and service quality, Perceived risk, Organizational Reputation, Attitude, TAM, DeLone & McLean, Adoption, Infrastructure, Nigeria.

1. Abid, H. & Noreen, U. (2008). Ready to E-bank: An exploratory research on adoption of e-banking and e-readiness in customers among commercial banks in Pakistan. Spider 31 (2), pp. 1-31. [Google Scholar] [Crossref]

2. Abor, J. (2009). Technological Innovations and Banking in Ghana: An Evaluation of Customers' Perceptions. School of Administration, University of Ghana, Legon (2004). [Google Scholar] [Crossref]

3. Adesina, A. A. & Ayo C.K. (2010).An Empirical Investigation of the Level of Users’ Acceptance of Embanking in Nigeria. Journal of Internet Banking and Commerce Vol. 15, No. 1. [Google Scholar] [Crossref]

4. Adeyinka, D.A. Nelson, R.R. and Todd, P.A. (2009).Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication. MIS Quarterly16 (2), pp. 227-247. [Google Scholar] [Crossref]

5. Ahmad, R. &Buttle, F. (2008).Retaining telephone banking customers at Frontier Bank. International Journal of Bank Marketing, 20 (1), pp. 5-16. [Google Scholar] [Crossref]

6. Al- Sukkar, A., &Hasan, H. (2005).Toward a Model for The Acceptance of Internet Banking in Developing Countries. Information Technology for Development Vol. 11 No. 4, Pp. 381- 398. [Google Scholar] [Crossref]

7. Ann Cobb, S. (2004). A guide to the Internet revolution in banking. Information Systems Management, 17(2), pp. 51-7 [Google Scholar] [Crossref]

8. Appiah F. V & Agyemang, F. O. (2005), "Customer Perceptions of the value delivered by retail banks in South Africa. The international Journal of Bank Marketing, vol. 22 No. 5 pp. 300-318. [Google Scholar] [Crossref]

9. Asokan K.K & Reid, M. O (2002). A Delphi study of the drivers and inhibitors of internet banking. International Journal of Bank Marketing, vol 20. No. 6 pp 250 - 260. [Google Scholar] [Crossref]

10. Bailey, F.H, & Pearson, F. (1983).Value and Productivity in the Internet Economy. Computer (33:5), pp 102-105. [Google Scholar] [Crossref]

11. Belardo L. K & Sikkel, S. (1982), “Organizational Innovation: The problems of Organizational Lag”, Administrative Science Quarterly, 29 (2), pp. 392-399. [Google Scholar] [Crossref]

12. et al.) [Google Scholar] [Crossref]

13. Burnham K. K (2010). Consumer Adoption of Internet Banking: Need-Based and or/ Skill Based. Marketing Management Journal. 11(1), 101-113. [Google Scholar] [Crossref]

14. Casalo, S & Guinaliu, P. (2007). Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research 6(2): 144-176. [Google Scholar] [Crossref]

15. Celik, M. (2008). Man-Machine Planning Systems: A Cognitive Style Examination of Interactive Decision Making. Journal of Accounting Research (15:1), pp 138-153. [Google Scholar] [Crossref]

16. Davis, V.K. (1989). Technology Use and Performance: A Field Study of Broker Workstations. Decision Sciences, 30(2), pp. 291-311. [Google Scholar] [Crossref]

17. << [Google Scholar] [Crossref]

18. DeLone, W. & McLean, E. (2004). Measuring E-Commerce Success: Applying the Delone& Mclean Information Systems Success Model. International Journal of Electronic Commerce (9:1), pp 31-47. [Google Scholar] [Crossref]

19. Featherman, A. &Pavlov, D. (2002). Factors Influencing Electronic Data Interchange Success. ACM SIGMIS Database (27:1), pp 45-57. [Google Scholar] [Crossref]

20. Franz, P.S and Robey, I. (1986). A Comparison of the Theory of Planned Behaviour and the Theory of Reasoned Action. Personality and Social Psychology Bulletin, 18, pp.3-9. [Google Scholar] [Crossref]

21. Hogwarts, D. (2001). Differences in Public Web Sites: The Current State of Large Us Firms. Journal of Electronic Commerce Research (1:3), pp 94-105. [Google Scholar] [Crossref]

22. Kamel, S., & Hassan, A. (2003). Electronic Banking in Egypt. The International Journal of Bank Marketing, Vol. 26. No 6, pp.406-423. [Google Scholar] [Crossref]

23. Kolodinsky, J. M., Hogarth, J. M., and Hilgert, M. (2001). The Adoption of Electronic Banking [Google Scholar] [Crossref]

24. Technologies by US Consumer. The International Journal of Bank Marketing vol. 22 No. 4, Pp. 238- 259. [Google Scholar] [Crossref]

25. Kolodinsky, J. M., Hogarth, J. M., &Hilgert, M. (2004).The Adoption of Electronic Banking Technologies by US Consumers. The International Journal of Bank Marketing vol. 22 No. 4, Pp. 238-259 [Google Scholar] [Crossref]

26. Lin, W. (2008). Maclean model of IS success. Journal of Electronic commerce research, Vol 3. No 4, pp. 12-25. [Google Scholar] [Crossref]

27. Molla, A., & Licker, P. (2005). E-Commerce Systems Success: An Attempt to Extend and Respecify the Delone and Mclean Model of Is Success. Journal of Electronic Commerce Research (2:4). pp 131-141. [Google Scholar] [Crossref]

28. Mols, N.P. (2008). The Behavioral Consequences of PC banking. International Journal of Bank Marketing, 16 (5), pp.195-201. [Google Scholar] [Crossref]

29. Obasi, J. (2008). Internet Banking: Practices and Potentials in Nigeria, A Paper at the Conference Organized by the Institute of Chartered Accountants of Nigeria (ICAN), Lagos, September 5. [Google Scholar] [Crossref]

30. Olatokun, W.M &Igbinedion, L. J. (2009). The Adoption of Automatic Teller Machines in Nigeria: An Application of the Theory of Diffusion of Innovation. Issues in Informing Science and Information Technology, Vol 6(6). Pp 380 - 387 [Google Scholar] [Crossref]

31. Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, (7:3), pp 101-134. [Google Scholar] [Crossref]

32. Ramaseshan R. (2009). Assessing the Validity of Is Success Models: An Empirical Test and Theoretical Analysis. Information Systems Research (13:1), p 50. [Google Scholar] [Crossref]

33. Ravi, M. & Turban, E. (2007). A trust model for consumer Internet shopping. International [Google Scholar] [Crossref]

34. Journal of Electronic Commerce. 6 (1), pp. 75–91. [Google Scholar] [Crossref]

35. Tan, M. &Teo, T. S. H. (2000).Factors influencing the adoption of Electronic payment services Journal of the AIS (1:5).pp 1- 42. [Google Scholar] [Crossref]

36. Vatanasombut, B., Igbaria, M., Stylianou, A. C. & Rodgers, W. (2008). Information Systems continuance intention of web-based applications customers: The case of online banking. Information & Management, (45:7). Pp 419-428. [Google Scholar] [Crossref]

37. Wang, K., & Young, S. (2003). Material Matters: Assessing the Effectiveness of Materials Management Is, Information & management (33:3), pp 115-124. [Google Scholar] [Crossref]

38. Westland, P. (2002). Why Do People Use Information Technology? A Critical Review of the Technology Acceptance Model. Information & Management, (40), pp. 191- 204 [Google Scholar] [Crossref]

• Block-Based Programming for Education: A Comprehensive Analysis of Visual Programming Environments in K-12 Learning
• Management of Academic Libraries and Client Satisfaction Towards Digital Utilization: Basis for Monitoring Library Operations in SOCCSKSARGEN Region.
• Revenue Leakages in TPA Insurance Claims and Corporate Claims: An Institutional Overview of Aster Prime Hospital, Hyderabad
• Technology and Innovation in Hospitality and Tourism: A Management Perspective
• Geospatial Distribution of Tarok Sacred Grove of Langtang North and Langtang South Local Government Areas