TY - CHAP
T1 - Supporting the project portfolio selection decision of research and development investments by means of multi-criteria resource allocation modelling
AU - Hummel, J. M.
AU - Oliveira, Monica D.
AU - Bana e Costa, Carlos A.
AU - IJzerman, Maarten J.
N1 - Publisher Copyright: © Springer International Publishing AG 2017. All rights are reserved.
PY - 2017/4/20
Y1 - 2017/4/20
N2 - The healthcare industry needs to carefully balance their research and development (R&D) project portfolios in terms of the diverse benefits, risks and costs of the technology they aim to develop. Although not common in healthcare, multi-criteria portfolio selection modelling can provide a structured and transparent approach to support decision-makers to share information on the performances of their R&D projects, to negotiate the necessary trade-offs to evaluate the projects and to arrive at a decision for an R&D project portfolio that decision-makers are committed to. In this chapter we illustrate how the Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH) approach, assisted by the recent portfolio module of the M-MACBETH decision support system, was used to build a model to select a portfolio of robotic innovations for minimal invasive surgical interventions. We show how these projects were prioritized according to their value for money and how the value of the R&D portfolio was maximized under a budget constraint and under the presence of interdependencies between projects that could affect their benefits, risks and/or costs.
AB - The healthcare industry needs to carefully balance their research and development (R&D) project portfolios in terms of the diverse benefits, risks and costs of the technology they aim to develop. Although not common in healthcare, multi-criteria portfolio selection modelling can provide a structured and transparent approach to support decision-makers to share information on the performances of their R&D projects, to negotiate the necessary trade-offs to evaluate the projects and to arrive at a decision for an R&D project portfolio that decision-makers are committed to. In this chapter we illustrate how the Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH) approach, assisted by the recent portfolio module of the M-MACBETH decision support system, was used to build a model to select a portfolio of robotic innovations for minimal invasive surgical interventions. We show how these projects were prioritized according to their value for money and how the value of the R&D portfolio was maximized under a budget constraint and under the presence of interdependencies between projects that could affect their benefits, risks and/or costs.
UR - http://www.scopus.com/inward/record.url?scp=85030636516&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-47540-0_6
DO - 10.1007/978-3-319-47540-0_6
M3 - Chapter
AN - SCOPUS:85030636516
SN - 9783319475387
SP - 89
EP - 103
BT - Multi-Criteria Decision Analysis to Support Healthcare Decisions
PB - Springer International Publishing AG
ER -