Establishing and implementing data collaborations for public good: A critical factor analysis to scale up the practice
Author:
Affiliation:
1. Department of Informatics, School of Business, Örebro University, Sweden
2. Section ICT, Faculty of Technology, Policy and Management, Delft University of Technology, The Netherlands
Publisher
IOS Press
Subject
Public Administration,Sociology and Political Science,Communication,Information Systems
Reference57 articles.
1. Investigating the Critical Success Factors for Implementing Electronic Document Management Systems in Governments: Evidence From Jordan;Alshibly;Information Systems Management,2016
2. Collaborative governance in theory and practice;Ansell;Journal of Public Administration Research and Theory,2008
3. Cross-sector social partnership success: A process perspective on the role of relational factors;Barroso-Mendez;European Management Journal,2016
4. (Re)forming strategic cross-sector partnerships: Relational processes of social innovation;Ber;Business and Society,2010
5. Electronic information sharing in local government authorities: Factors influencing the decision-making process;Bigdeli;International Journal of Information Management,2013
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