Combining Non-Subjective Quantitative Techniques with Qualitative Visual Approaches in the Assessment of Large Portfolios of R&D Projects
A decision support system used for the assessment of a portfolio of R&D projects, that effectively combines quantitative techniques with a qualitative visualization of managerial insights, is demonstrated.
||R&D Project Selection, Portfolio Analysis, Quantitative and Qualitative Decision-Making
International Journal of Technology, Knowledge and Society, Volume 2, Issue 3, pp.1-10.
Article: Print (Spiral Bound).
Article: Electronic (PDF File; 1.166MB).
Julian Scott Yeomans is an Associate Professor of Operations Management & Information Systems in the Schulich School of Business at York University in Toronto. His current research projects focus upon web-enabled decision support systems, environmental informatics, waste management, and decision-making under uncertainty. He received a B.Sc. in statistics and a B.Admin. in business from the University of Regina, an MASc. in civil/environmental engineering from the University of Toronto, and a PhD in information systems from McMaster University in Hamilton, Ontario.
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