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A clustering‐based review on project portfolio optimization methods
Author(s) -
Saiz Miguel,
Lostumbo Marisa A.,
Juan Angel A.,
LopezLopez David
Publication year - 2022
Publication title -
international transactions in operational research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.032
H-Index - 52
eISSN - 1475-3995
pISSN - 0969-6016
DOI - 10.1111/itor.12933
Subject(s) - cluster analysis , portfolio , computer science , project portfolio management , subject (documents) , management science , work (physics) , data science , project management , operations research , business , systems engineering , engineering , artificial intelligence , mechanical engineering , finance , library science
Project portfolio management and optimization constitutes a critical activity for organizations in different industrial sectors and business. The scientific literature in this subject is extremely vast, which makes it difficult to understand the connections among the existing approaches and perspectives. This paper provides a clustering map of the existing work on the subject, thus identifying the main trends and approaches from different scientific communities. After analyzing each of the identified clusters, the paper provides insights and emerging trends that can be useful both for researchers and practitioners in the area.