Open access Jurnal SINTA 1
The effect of recovery satisfaction on citizens loyalty perception: a case study of mobile government services
International Journal of Electrical and Computer Engineering (IJECE) · Vol. 10 No. 4 (2020)
- ISSN
- 2722-2578, 2088-8708
- Published
- 2020-08-01
- Publisher
- Institute of Advanced Engineering and Science
Abstract
Use of mobile services is an integral part of today’s life. Organizations, government agencies as well as service providers in the market employ mobile services or application in reaching their citizens or users worldwide. Notably, service failure issues might frustrate users in using mobile service, but usually, service providers would employ the strategy of recovery as solution. Recovery strategy aims to sustain the relationship with users following service failure. Somehow, the factors that might impact recovery process are unclear. It is also unclear if users will use the service again following the completion of recovery process. Hence, in this study, a survey on 743 adults was carried out, and the data were analyzed using SEM to determine the factors that impact users’ recovery satisfaction the most and the impact of recovery satisfaction on citizens loyalty to use mobile government in the future. The finding of this study illustrated that expect of self-efficacy, all factors proposed in the research model found to has a significant impact on recovery satisfaction. Among all the supported hypothesis, the highest impact on recovery satisfaction comes from perceived trust in government as the initial predictor to use the service
Collaboration network of the authors
30 authors · 158 co-authorship links · 68 across different organisations
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Imam Abdulrahman Bin Faisal University
- Al-Balqa Applied University
- Taibah University
- Amman Arab University
- Fujairah University
- Jerash University
- University of Anbar
- Other organisations
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Mutasem K. Alsmadi | Imam Abdulrahman Bin Faisal University | 7 |
| Usama A. Badawi | Imam Abdulrahman Bin Faisal University | 3 |
| Firas Haddad | Imam Abdulrahman Bin Faisal University | 3 |
| Ghaith M. Jaradat | Amman Arab University | 3 |
| Mohammed Fahed Tayfour | Imam Abdulrahman Bin Faisal University | 2 |
| Raed Ali Alkhasawneh | Imam Abdulrahman Bin Faisal University | 2 |
| Malek Alzaqebah | Imam Abdulrahman Bin Faisal University | 2 |
| Fahad AlGhamdi | Imam Abdulrahman Bin Faisal University | 2 |
| Tamer Farag | Imam Abdulrahman Bin Faisal University | 1 |
| Walaa Hassan | Imam Abdulrahman Bin Faisal University | 1 |
| Ahmad Mohamad Al-Smadi | Al-Balqa Applied University | 1 |
| Abdel Karim Baareh | Al-Balqa Applied University | 1 |
| Hayam Abouelmagd | Imam Abdulrahman Bin Faisal University | 1 |
| Osman Saad Shidwan | Imam Abdulrahman Bin Faisal University | 1 |
| Yousef Qawqzeh | Fujairah University | 1 |
| Ali Al‐Yousef | Jerash University | 1 |
| Anmar Abu-Hamdah | Affiliation unknown | 1 |
| Khalid Shaker | University of Anbar | 1 |
| Anmar Abuhamdah | Taibah University | 1 |
| Wadii Boulila | Taibah University | 1 |
| Anas Mohammad Ali Quteishat | Al-Balqa Applied University | 1 |
| Kamal Eldin Hassan Ibrahim Eldaw | Imam Abdulrahman Bin Faisal University | 1 |
| Ahmad Althunibat | Al-Zaytoonah University of Jordan | 1 |
| Rami Mustafa A. Mohammad | Imam Abdulrahman Bin Faisal University | 1 |
| Eman A. E. Ahmed | Imam Abdulrahman Bin Faisal University | 1 |
| Sana Jawarneh | Imam Abdulrahman Bin Faisal University | 1 |
| Hayat Alfagham | Imam Abdulrahman Bin Faisal University | 1 |
| Jehad Saad Alqurni | Imam Abdulrahman Bin Faisal University | 1 |
| Lubna Mahmoud Abdel Jawad | Gulf Medical University | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.