A Alenizi
A systematic literature review for understanding the antecedents of the Digital Open Government matrix
Alenizi, A
Authors
Abstract
Developed and developing nations are increasingly focused on implementing Digital Open Government (DOG) systems with the purpose of fostering community engagement, citizen participation, accountability, growth and development, better public services, and useful data. Both citizens and government have come to understand the value of DOG, and they are increasingly coordinating and collaborating with each other to improve the public services. The current study highlights the under-researched areas of DOG by offering legal, individual, economic, managerial, organizational, and group perspectives that could influence future DOG practices in either developed or developing countries. The study determines the inclusion and exclusion criteria as well as the quality audit processes associated with the research methods in order to enhance the quality and value of the findings. Finally, the study identifies a number of research gaps that may prove helpful for future studies.
Citation
Alenizi, A. (2020). A systematic literature review for understanding the antecedents of the Digital Open Government matrix. International Journal of Electronic Government Research, 16(1), 1-17. https://doi.org/10.4018/ijegr.2020010101
Journal Article Type | Article |
---|---|
Publication Date | Jan 1, 2020 |
Deposit Date | Sep 1, 2020 |
Journal | International Journal of Electronic Government Research |
Print ISSN | 1548-3886 |
Electronic ISSN | 1548-3894 |
Publisher | IGI Global |
Volume | 16 |
Issue | 1 |
Pages | 1-17 |
DOI | https://doi.org/10.4018/ijegr.2020010101 |
Keywords | Computer Networks and Communications, Hardware and Architecture, Software, General Social Sciences |
Publisher URL | https://doi.org/10.4018/IJEGR.2020010101 |
Related Public URLs | https://www.igi-global.com/gateway/journal/1091 |
Additional Information | Additional Information : ** From Crossref via Jisc Publications Router **Journal IDs: pissn 1548-3886; eissn 1548-3894 **History: published 01-2020 |
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