Faktor Peramal Penerimaan Perkhidmatan e-Kerajaan

Abstract

Predictor Factors Towards Acceptance of e-Government Services ABSTRACT The e-government application was developed to change the way the government operates in the online service delivery system. Thus, this study focused on one of the e-government platforms namely, the MyEG application. This study was aimed to determine the predictor factors that influence consumers’ acceptance using the MyEG application. The framework consisted of four main predictors namely, social influence, performance expectancy, effort expectancy and facilitating conditions, while the dependent variable was the acceptance of MyEG application. A quantitative approach was adopted, by using a questionnaire survey. A total of 396 MyEG application users in the Klang Valley were selected to participate in the survey. The data collected were analyzed using SPSS version 22. Two sampling techniques were used; simple random and purposive. Two statistics procedures were used; descriptive and inferential. The results displayed that the level of acceptance towards the MyEG application was at a moderate level. The Pearson correlation test also revealed a positive and significant correlation between performance expectancy, effort expectancy, facilities condition and social influences to the acceptance of MyEG application. The analysis showed that users had accepted the MyEG application because it was emphasized the predictor factors. Moreover, the multi regression test found that performance expectancy, facilities conditions, social influences and effort expectancy were among the variables that predicted the acceptance of the MyEG application. However, the overall result showed that performance expectancy was a major factor that contributed to the acceptance of the MyEG application among users. Keywords: e-government, online services, application, predictor factor, acceptance.