Drivers and Barriers for Open Government Data Adoption: An Isomorphic Neo-Institutional Perspective
- 89 Downloads
By making government data available to all, Open Government Data (OGD) initiatives promote transparency, accountability and value creation. However, these initiatives face several problems affecting their implementation throughout its adoption process. This study focuses on the forces driving or hindering the adoption of OGD in a developing country at its early stages. In depth, through the analysis of qualitative data, which was collected from seven governmental institutions, we highlight that OGD adoption is mainly hindered by the lack of a comprehensive legal framework. On the other hand, the adoption of OGD is mainly driven by the participation of the governmental practitioners on professional networks and by the transmission of success stories from other countries with similar characteristics to the country studied in this research.
KeywordsOpen government data Neo-Institutional theory Isomorphic pressures Adoption Information systems
This research was supported by the Pontificia Universidad Católica del Ecuador through the grant research project O13050. In addition, we acknowledge and thank the Anonymous Reviewers for their valuable recommendations, which contributed to improving the quality of this paper.
- 6.Roa, H.N., Loza-Aguirre, E., Flores, P.: A survey on the problems affecting the development of open government data initiatives. In: Proceedings of the Sixth International Conference on eDemocracy & eGovernment (ICEDEG), Quito, Ecuador (2019)Google Scholar
- 11.Styrin, E., Luna-Reyes, L.F., Harrison, T.M.: Open data ecosystems: an international comparison. Transform. Gov. People, Process Policy 11(1), 132–156 (2017)Google Scholar
- 14.Verra, L.G., Karoui, M., Dudezert, A.: Adoption symbolique d’un Réseau Social pour entreprise: Le cas de Bouygues Construction. In: 17ème colloque de l’AIM, Bordeaux, France (2012)Google Scholar
- 16.Rogers, E.M.: Diffusion of Innovations. The Free Press, New York (1983)Google Scholar
- 18.Klonglan, G.E., Coward Jr., E.W.: The concept of symbolic adoption: a suggested interpretation. Rural Sociol. 35(1), 77–83 (1970)Google Scholar
- 19.Kwon, T.H., Zmud, R.W.: Unifying the Fragmented models of information systems implementation. In: Boland, R.J., Hirschheim, R.A. (eds.) Critical Issues in Information Systems Research, pp. 227–251. Wiley, Chichester (1987)Google Scholar
- 32.Scott, W.R.: Institutions and Organizations: Foundations for Organizational Science. Sage Publications, California (1995)Google Scholar
- 34.Fusch, P.I., Ness, L.R.: Are we there yet? data saturation in qualitative research. Qual. Rep. 20(9), 1408–1416 (2015)Google Scholar
- 35.Saldaña, J.: The Coding Manual for Qualitative Researchers. Sage Publications, London (2009)Google Scholar
- 36.Bardin, L.: L’analyse de contenu. Presses Universitaires de France, Paris (2007)Google Scholar