Measuring project performance by applying social network analyses

Detalhes bibliográficos
Autor(a) principal: Nunes, Marco
Data de Publicação: 2021
Outros Autores: Abreu, António, Bagnjuk, Jelena, Tiedtke, Jörn
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/145961
Resumo: Publisher Copyright: © 2021 China Ordnance Society
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spelling Measuring project performance by applying social network analysesInnovationProject critical success factorProject outcomeProject performanceProject risk managementSocial network analysisSustainabilityStrategy and ManagementInformation Systems and ManagementManagement of Technology and InnovationPublisher Copyright: © 2021 China Ordnance SocietyIt is often argued that the core of organizational success is efficient collaboration. Some authors even posit that efficient collaboration is more important to organizational innovation and performance than individual skills or expertise. However, the lack of efficient models to manage collaboration properly is a major constraint for organizations to profit from internal and external collaborative initiatives. Currently, much of the collaboration in organizations occurs through virtual network channels, such as e-mail, Yammer, Jabber, Microsoft Teams, Skype, and Zoom. These are even more important in situations where different time zones and even threats of a pandemic constrain face-to-face human interactions. This work introduces a multidisciplinary heuristic model developed based on project risk management and social network analysis centrality metrics graph-theory to quantitatively measure dynamic organizational collaboration in the project environment. A case study illustrates the proposed model's implementation and application in a real virtual project organizational context. The major benefit of applying this proposed model is that it enables organizations to quantitatively measure different collaborative, organizational, and dynamic behavioral patterns, which can later correlate with organizational outcomes. The model analyzes three collaborative project dimensions: network collaboration cohesion evolution, network collaboration degree evolution, and network team set variability evolution. This provides organizations an innovative approach to understand and manage possible collaborative project risks that may emerge as projects are delivered. Organizations can use the proposed model to identify projects' critical success factors by comparing successful and unsuccessful delivered projects' dynamic behaviors if a substantial number of both project types are analyzed. The proposed model also enables organizations to make decisions with more information regarding the support for changes in observed collaborative patterns as demonstrated by statistical models in general, and linear regressions in particular. Further, the proposed model provides organizations with a completely bias-free data-collection process that eliminates organizational downtime. Finally, applying the proposed model in organizations will reduce or eliminate the risks associated with virtual collaborative dynamics, leading to the optimized use of resources; this will transform organizations to become more lean-oriented and significantly contribute to economic, social, and environmental global sustainability.CTS - Centro de Tecnologia e SistemasRUNNunes, MarcoAbreu, AntónioBagnjuk, JelenaTiedtke, Jörn2022-12-02T22:14:40Z2021-062021-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article21application/pdfhttp://hdl.handle.net/10362/145961eng2096-2487PURE: 45613824https://doi.org/10.1016/j.ijis.2021.05.001info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:26:50Zoai:run.unl.pt:10362/145961Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:52:22.326509Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Measuring project performance by applying social network analyses
title Measuring project performance by applying social network analyses
spellingShingle Measuring project performance by applying social network analyses
Nunes, Marco
Innovation
Project critical success factor
Project outcome
Project performance
Project risk management
Social network analysis
Sustainability
Strategy and Management
Information Systems and Management
Management of Technology and Innovation
title_short Measuring project performance by applying social network analyses
title_full Measuring project performance by applying social network analyses
title_fullStr Measuring project performance by applying social network analyses
title_full_unstemmed Measuring project performance by applying social network analyses
title_sort Measuring project performance by applying social network analyses
author Nunes, Marco
author_facet Nunes, Marco
Abreu, António
Bagnjuk, Jelena
Tiedtke, Jörn
author_role author
author2 Abreu, António
Bagnjuk, Jelena
Tiedtke, Jörn
author2_role author
author
author
dc.contributor.none.fl_str_mv CTS - Centro de Tecnologia e Sistemas
RUN
dc.contributor.author.fl_str_mv Nunes, Marco
Abreu, António
Bagnjuk, Jelena
Tiedtke, Jörn
dc.subject.por.fl_str_mv Innovation
Project critical success factor
Project outcome
Project performance
Project risk management
Social network analysis
Sustainability
Strategy and Management
Information Systems and Management
Management of Technology and Innovation
topic Innovation
Project critical success factor
Project outcome
Project performance
Project risk management
Social network analysis
Sustainability
Strategy and Management
Information Systems and Management
Management of Technology and Innovation
description Publisher Copyright: © 2021 China Ordnance Society
publishDate 2021
dc.date.none.fl_str_mv 2021-06
2021-06-01T00:00:00Z
2022-12-02T22:14:40Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/145961
url http://hdl.handle.net/10362/145961
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2096-2487
PURE: 45613824
https://doi.org/10.1016/j.ijis.2021.05.001
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 21
application/pdf
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instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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