Determinants of E-Payment Systems Success

Abstract

The success of an information system (IS) depends on the users’ satisfaction with the system. In this study, the Technology Acceptance Model by Davies (1989) was extended. The paper synthesized the technology acceptance model (TAM) to explain and predict the success of e-payment system using users’ satisfaction as dependent variable. The hypothesized model was validated empirically using a sample data collected from of a modified e-payment questionnaire. A total of 74 teaching and non teaching academic staff selected from the Faculty of Communication and Information Sciences, University of Ilorin, Nigeria constituted the sample for the study. The results revealed correlation among perceived benefits, perceive enjoyment, speed; service quality, perceive ease of use and actual use and e-payment success. Moreover, all the seven e-payment predictive factors together made 69% of e-payment system success. Similarly perceived benefits, perceive enjoyment, speed; service quality, perceive ease of use and actual use are good predictors of e-payment system success. One of the implications pointed out by the study is that the measures for the construct of e-payment system success used are self-reported. In the light of this, future research should develop more objective and accurate measures for determining e-payment system success.