Factors influencing the adoption of open government data in the public sector: a systematic literature review

• Main Authors: Haini, Siti Isnaine, Ab. Rahim, Nor Zairah, Megat Mohd. Zainuddin, Norziha, Ibrahim, Roslina
• Format: Article
• Language: English
• Published: Insight Society 2020
• Subjects: H Social Sciences (General); T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/90367/1/SitiIsnaineHaini2020_FactorsInfluencingtheAdoptionofOpenGovernment.pdf; http://eprints.utm.my/id/eprint/90367/; http://dx.doi.org/10.18517/ijaseit.10.2.9488

Open Government Data (OGD) adoption has been extensively studied; however, few have examined the success factors of OGD adoption in the public sector context. The benefits of leveraging data in enhancing public service delivery have been a significant concern to the top management of the public sector in providing them insight for strategic planning together with timely decision making. The aim of this paper is to review recent literature from the year 2010 to 2018 on OGD adoption at the organizational level in the public sector context. We systematically searched all English papers that were indexed in seven electronic journal databases (Scopus, Emerald, Web of Science, Science Direct, ACM, Springer and IEEE) which include journals, proceedings, books and book chapters. Few papers were acquired from snowballing techniques and ResearchGate webpage. A total of 886 publications were identified in this process and 25 papers have finally been selected which are deemed as relevant papers for the analysis stage. As derived from 25 selected papers, this study has identified 16 factors that influence the OGD adoption which has been categorized into three main dimensions: Technological, Organizational and Environmental (T-O-E). Policy, technological competence, top management support and organization culture are among the most influential factors of OGD adoption. Therefore, this study is expected to assist other researchers to understand the current stage of OGD adoption in terms of influential factors, research domains and research methodology.