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Project portfolio risk management. Bibliometry and collaboration Scientometric domain analysis

PURPOSE: ‘'Project Portfolio Risk Management” is approached through a bibliometry and collaboration networks study determining its dynamics and development as a formal domain that links Project, Risk Management and Portfolio concepts. DESIGN/METHODOLOGY/APPROACH: To facilitate replicability, a...

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Detalles Bibliográficos
Autores principales: Micán Rincón, Camilo Andrés, Rubiano-Ovalle, Oscar, Delgado Hurtado, Carolina, Andrade-Eraso, Carlos-Augusto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558319/
https://www.ncbi.nlm.nih.gov/pubmed/37809855
http://dx.doi.org/10.1016/j.heliyon.2023.e19136
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author Micán Rincón, Camilo Andrés
Rubiano-Ovalle, Oscar
Delgado Hurtado, Carolina
Andrade-Eraso, Carlos-Augusto
author_facet Micán Rincón, Camilo Andrés
Rubiano-Ovalle, Oscar
Delgado Hurtado, Carolina
Andrade-Eraso, Carlos-Augusto
author_sort Micán Rincón, Camilo Andrés
collection PubMed
description PURPOSE: ‘'Project Portfolio Risk Management” is approached through a bibliometry and collaboration networks study determining its dynamics and development as a formal domain that links Project, Risk Management and Portfolio concepts. DESIGN/METHODOLOGY/APPROACH: To facilitate replicability, a scientometric study under a PRISMA structure is carried out: i) Identification or domain structuring, as well as keywording accuracy; ii) Screening: Search string refinement and outputs review; iii) Eligibility: Several criteria applied to a content analysis, and iv) Inclusion: Consolidation of domain analytics through bibliometry and collaboration networks. ORIGINALITY AND FINDINGS: Assessing the field as a formal knowledge domain is novel, contributing to a synthesis of its trends and evolution: For first time, descriptive statistics show increasing attention based on the growing citation scores, participation, H index and productivity of its main journals. Project Portfolio Selection is established as hot topic, the main authors are identified, as well as key concepts such as optimization, mathematical programming, multi-objective optimization, stochastic programming, and robust optimization. Three main research themes are obtained: Incorporation of Risk Assessment into Project Portfolio Selection problem, Risk Management as a Project Portfolio Management process, and Risk Analysis considering social and environmental issues. An accurate match is found in the contrast of the domain's behavior with some bibliometric and linguistic laws. PRACTICAL IMPLICATIONS: Theoretical richness is achieved in the conjunction of the three terms, presenting dynamics and tendencies and thus contributing to focus related research processes on a unified field for the use of both scholars' and practitioners’ perspectives.
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spelling pubmed-105583192023-10-08 Project portfolio risk management. Bibliometry and collaboration Scientometric domain analysis Micán Rincón, Camilo Andrés Rubiano-Ovalle, Oscar Delgado Hurtado, Carolina Andrade-Eraso, Carlos-Augusto Heliyon Review Article PURPOSE: ‘'Project Portfolio Risk Management” is approached through a bibliometry and collaboration networks study determining its dynamics and development as a formal domain that links Project, Risk Management and Portfolio concepts. DESIGN/METHODOLOGY/APPROACH: To facilitate replicability, a scientometric study under a PRISMA structure is carried out: i) Identification or domain structuring, as well as keywording accuracy; ii) Screening: Search string refinement and outputs review; iii) Eligibility: Several criteria applied to a content analysis, and iv) Inclusion: Consolidation of domain analytics through bibliometry and collaboration networks. ORIGINALITY AND FINDINGS: Assessing the field as a formal knowledge domain is novel, contributing to a synthesis of its trends and evolution: For first time, descriptive statistics show increasing attention based on the growing citation scores, participation, H index and productivity of its main journals. Project Portfolio Selection is established as hot topic, the main authors are identified, as well as key concepts such as optimization, mathematical programming, multi-objective optimization, stochastic programming, and robust optimization. Three main research themes are obtained: Incorporation of Risk Assessment into Project Portfolio Selection problem, Risk Management as a Project Portfolio Management process, and Risk Analysis considering social and environmental issues. An accurate match is found in the contrast of the domain's behavior with some bibliometric and linguistic laws. PRACTICAL IMPLICATIONS: Theoretical richness is achieved in the conjunction of the three terms, presenting dynamics and tendencies and thus contributing to focus related research processes on a unified field for the use of both scholars' and practitioners’ perspectives. Elsevier 2023-08-22 /pmc/articles/PMC10558319/ /pubmed/37809855 http://dx.doi.org/10.1016/j.heliyon.2023.e19136 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review Article
Micán Rincón, Camilo Andrés
Rubiano-Ovalle, Oscar
Delgado Hurtado, Carolina
Andrade-Eraso, Carlos-Augusto
Project portfolio risk management. Bibliometry and collaboration Scientometric domain analysis
title Project portfolio risk management. Bibliometry and collaboration Scientometric domain analysis
title_full Project portfolio risk management. Bibliometry and collaboration Scientometric domain analysis
title_fullStr Project portfolio risk management. Bibliometry and collaboration Scientometric domain analysis
title_full_unstemmed Project portfolio risk management. Bibliometry and collaboration Scientometric domain analysis
title_short Project portfolio risk management. Bibliometry and collaboration Scientometric domain analysis
title_sort project portfolio risk management. bibliometry and collaboration scientometric domain analysis
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558319/
https://www.ncbi.nlm.nih.gov/pubmed/37809855
http://dx.doi.org/10.1016/j.heliyon.2023.e19136
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