Artículo

MCDM-Based R&D Project Selection: A Systematic Literature Review

Resumen

From small spin-offs deploying innovative software to big pharmaceutical complexes making vaccines, Research and Development (R&D) Project Portfolio Selection (PPS) is an essential strategic process for various companies. It was never easy to select a set of projects among many feasible possibilities, even for yesterday’s paces. However, the world is rapidly changing, and so is R&D PPS. The portfolio objectives excel profit in the same manner that model constraints go beyond budget limitations. In parallel, project selection approaches and solving algorithms followed the increase of computational power. Despite all those changes, the importance of Multi-Criteria Decision Making (MCDM) methods and the decision criteria used for R&D PPS, there is still room for a systematic literature review (SLR) for the topic. Thus, this paper offers an SLR of the existing literature from the half-century, 1970, and onward MCDM-based R&D PPS performed in Scopus and Web of Science Core Collection. We provide a comprehensive picture of this field, show how it is changing, and highlight standard practices and research opportunities in the area. We perform a broad classification of the MCDM methods, categorized by the nature of alternatives, types of integration approach, the MCDM method itself, and types of uncertainty, by the 66 studies in the SLR database. The portfolios’ classification obeys the application domain and the number of projects. We have also explored all the 263 criteria found in the literature by grouping them according to experts from five Brazilian R&D organizations that together manage portfolios valued around US$ 5 billion a year, accounting for 38% of all Brazilian annual expenditure in R&D projects. We also include a bibliometric analysis of the considered papers and research opportunities highlighted or not explored by researchers. Given the increasing number of decision-making approaches and new technologies available, we hope to provide guidance on the topic and promote knowledge production and growth concerning the usage of MCDM methods and decision criteria in R&D PPS.
Yang, XiaoJu (57718684600); Wu, FaSi (35796375200); Li, Long (59156458300); Guo, QingLin (59156066300); Yu, ZongRen (57191979536); Chen, SongCong (59156328500); Zhao, XueYong (7407575784)
Bibliometric analysis of the status and trend of biological soil crusts research from 1912 to 2023
2024
10.1016/j.rcar.2024.05.001
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195180300&doi=10.1016%2fj.rcar.2024.05.001&partnerID=40&md5=8a76cb7e7c025a40ff586f37e554f9a4
Naiman Desertification Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Gansu, Lanzhou, 730000, China; University of Chinese Academy of Sciences, Beijing, 100049, China; National Research Center for Conservation of Ancient Wall Paintings and Earthen Sites, Dunhuang Academy, Gansu, Dunhuang, 736200, China; Gansu Provincial Research Center for Conservation of Dunhuang Cultural Heritage, Gansu, Dunhuang, 736200, China; Cultural Heritage Conservation and Design Consulting Co., Ltd. of Mogao Grottoes, Gansu, Dunhuang, 736200, China
All Open Access; Hybrid Gold Open Access
Scopus
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Scopus
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