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dc.contributor.authorMohagheghi, Vahid
dc.contributor.authorMousavi, Seyed Meysam
dc.contributor.authorAntuchevičienė, Jurgita
dc.contributor.authorMojtahed, Mohammad
dc.date.accessioned2023-09-18T20:18:52Z
dc.date.available2023-09-18T20:18:52Z
dc.date.issued2019
dc.identifier.issn2029-4913
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/148554
dc.description.abstractProject portfolio selection has been the focus of many scholars in the last two decades. The number of studies on the strategic process has significantly increased over the past decade. Despite this increasing trend, previous studies have not been yet critically evaluated. This paper, therefore, aims to presents a comprehensive review of project portfolio selection and optimization studies focusing on the evaluation criteria, selection approach, solution approach, uncertainty modeling, and applications. This study reviews more than 140 papers on project portfolio selection research topic to identify the gaps and to present future trends. The findings show that not only the financial criteria but also social and environmental aspects of project portfolios have been focused by researchers in project portfolio selection in recent years. In addition, meta-heuristics and heuristics approach to finding the solution of mathematical models have been the critical research by scholars. Expert systems, artificial intelligence, and big data science have not been considered in project portfolio selection in the previous studies. In future, researchers can investigate the role of sustainability, resiliency, foreign investment, and exchange rates in project portfolio selection studies, and they can focus on artificial intelligence environments using big data and fuzzy stochastic optimization techniques.eng
dc.formatPDF
dc.format.extentp. 1380-1412
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbySocial Sciences Citation Index (Web of Science)
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyBusiness Source Complete
dc.relation.isreferencedbyTOC Premier
dc.relation.isreferencedbyICONDA
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://doi.org/10.3846/tede.2019.11410
dc.source.urihttps://journals.vgtu.lt/index.php/TEDE/article/view/11410/9569
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:45982753/datastreams/MAIN/content
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:45982753/datastreams/COVER/content
dc.titleProject portfolio selection problems: a review of models, uncertainty approaches, solution techniques, and case studies
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons. org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dcterms.references152
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionShahed University, Tehran
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionThe University of New South Wales, Sydney
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.vgtuprioritizedfieldsFM0101 - Fizinių, technologinių ir ekonominių procesų matematiniai modeliai / Mathematical models of physical, technological and economic processes
dc.subject.ltspecializationsL104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies
dc.subject.enproject portfolio selection
dc.subject.enuncertainty approach
dc.subject.ensolution approach
dc.subject.enselection approach
dc.subject.enevaluation criteria
dc.subject.encase studies
dcterms.sourcetitleTechnological and economic development of economy
dc.description.issueiss. 6
dc.description.volumevol. 25
dc.publisher.nameVGTU Press
dc.publisher.cityVilnius
dc.identifier.doi000503058900016
dc.identifier.doi10.3846/tede.2019.11410
dc.identifier.elaba45982753


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