Abstract
One of the primary components of innovation management in research and development (R&D) organizations is project selection. In public sector R&D environments, it is essential that improvements are made to the selection processes. These improvements should address the unique challenges faced by these organizations in order to increase the quality of the decisions that are made. Modern decision support systems (DSS) have the potential to meet these needs. The implementation of effective DSS backed by solid data management practices and driven by artificial intelligence technologies has the potential to enhance the management of public sector R&D innovation.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
