Constructing and evaluating balanced portfolios of R&D projects with interactions: A DEA based methodology |
| |
| Institution: | 1. College of Economics and Management & Research Center for Soft Energy Science, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;2. Research Center for Smarter Supply Chain, Dongwu Business School, Soochow University, No. 50 Donghuan Road, Suzhou 215021, China;1. Pöyry Management Consulting Ltd., P.O. Box 5, Jaakonkatu 3, 01621 Vantaa, Finland;2. Department of Information and Service Economy, Aalto University School of Business, P.O. Box 21220, 00076 Aalto, Finland;3. Systems Analysis Laboratory, Department of Mathematics and Systems Analysis, Aalto University School of Science, P.O. Box 11100, 00076 Aalto, Finland;1. Department of Operations Management, TUM School of Management, Arcisstraße 21, 80333 Munich, Germany;2. Department of Information and Service Economy, Aalto University School of Business, P.O. Box 21220, Aalto 00076, Finland |
| |
| Abstract: | We propose and demonstrate a methodology for the construction and analysis of efficient, effective and balanced portfolios of R&D projects with interactions. The methodology is based on an extended data envelopment analysis (DEA) model that quantifies some the qualitative concepts embedded in the balanced scorecard (BSC) approach. The methodology includes a resource allocation scheme, an evaluation of individual projects, screening of projects based on their relative values and on portfolio requirements, and finally a construction and evaluation of portfolios. The DEA–BSC model is employed in two versions, first to evaluate individual R&D projects, and then to evaluate alternative R&D portfolios. To generate portfolio alternatives, we apply a branch-and-bound algorithm, and use an accumulation function that accounts for possible interactions among projects. The entire methodology is illustrated via an example in the context of a governmental agency charged with selecting technological projects. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
