{"title":"E-Government Adoption in Tunisia Extending Technology Acceptance Model","authors":"Wadie Nasri","doi":"10.4018/ijpada.2019100103","DOIUrl":null,"url":null,"abstract":"The purpose of this study is to examine the factors which affect e-government services adoption of Tunisian's citizens by using a technology acceptance model (TAM). The proposed conceptual model was extended by adding social influence, awareness, and quality of internet connection. The proposed model was empirically tested using survey data provided by 150 respondents and was analyzed using a structural equation model (SEM). The findings indicate that the proposed model is a stable model and a good explanatory. Perceived usefulness is predicted mutually by social influence and awareness. Moreover, perceived ease of use is predicted by quality of internet connection. This study contributes to the literature by providing a new research model for understanding e-government services adoption in Tunisia and its findings provide useful guidelines to develop policies and strategies to increase the adoption of e-government services.","PeriodicalId":42809,"journal":{"name":"International Journal of Public Administration in the Digital Age","volume":" ","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4018/ijpada.2019100103","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Public Administration in the Digital Age","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijpada.2019100103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 6
Abstract
The purpose of this study is to examine the factors which affect e-government services adoption of Tunisian's citizens by using a technology acceptance model (TAM). The proposed conceptual model was extended by adding social influence, awareness, and quality of internet connection. The proposed model was empirically tested using survey data provided by 150 respondents and was analyzed using a structural equation model (SEM). The findings indicate that the proposed model is a stable model and a good explanatory. Perceived usefulness is predicted mutually by social influence and awareness. Moreover, perceived ease of use is predicted by quality of internet connection. This study contributes to the literature by providing a new research model for understanding e-government services adoption in Tunisia and its findings provide useful guidelines to develop policies and strategies to increase the adoption of e-government services.