{"title":"Factors Affecting Continuance Intention of M-Government: An Empirical Study","authors":"Thamer Alshammari","doi":"10.4018/ijebr.326550","DOIUrl":null,"url":null,"abstract":"Mobile government (m-government) can potentially provide substantial benefits. Nonetheless, the low level of use has prevented realizing the potential benefits of m-government. As a result, researchers have studied the factors affecting the acceptance of m-government. However, to date, no study has empirically investigated the factors affecting the continuance intention of using m-government. This article argues that investigating these factors will provide a greater insight into why the potential benefits have not been realized. The theoretical foundation of the proposed model builds on the expectation-confirmation model, information system success model, and the external factor trust. This study has adopted a quantitative methodology and conducted an online questionnaire. The data were collected from 553 m-government users in Saudi Arabia, who have used multiple m-government services. The results show that the proposed model has the capability to identify the factors affecting the continuance intention in m-government context.","PeriodicalId":13628,"journal":{"name":"Int. J. E Bus. Res.","volume":"51 1","pages":"1-23"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. E Bus. Res.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijebr.326550","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Mobile government (m-government) can potentially provide substantial benefits. Nonetheless, the low level of use has prevented realizing the potential benefits of m-government. As a result, researchers have studied the factors affecting the acceptance of m-government. However, to date, no study has empirically investigated the factors affecting the continuance intention of using m-government. This article argues that investigating these factors will provide a greater insight into why the potential benefits have not been realized. The theoretical foundation of the proposed model builds on the expectation-confirmation model, information system success model, and the external factor trust. This study has adopted a quantitative methodology and conducted an online questionnaire. The data were collected from 553 m-government users in Saudi Arabia, who have used multiple m-government services. The results show that the proposed model has the capability to identify the factors affecting the continuance intention in m-government context.