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Applying social network analysis to identify project critical success factors

dc.contributor.authorNunes, Marco
dc.contributor.authorAbreu, António
dc.date.accessioned2020-03-02T09:31:10Z
dc.date.available2020-03-02T09:31:10Z
dc.date.issued2020-02-18
dc.description.abstractA key challenge in project management is to understand to which extent the dynamic interactions between the different project people—through formal and informal networks of collaboration that temporarily emerge across a project´s lifecycle—throughout all the phases of a project lifecycle, influence a project’s outcome. This challenge has been a growing concern to organizations that deliver projects, due their huge impact in economic, environmental, and social sustainability. Inthiswork,aheuristictwo-partmodel,supportedwiththreescientificfields—project management, risk management, and social network analysis—is proposed, to uncover and measure the extent to which the dynamic interactions of project people—as they work through networks of collaboration—across all the phases of a project lifecycle, influence a project‘s outcome, by first identifying critical success factos regarding five general project collaboration types ((1) communication and insight, (2) internal and cross collaboration, (3) know-how and power sharing, (4) clustering, and (5) team work efficiency) by analyzing delivered projects, and second, using those identified critical success factos to provide guidance in upcoming projects regarding the five project collaboration types.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationNUNES, Marco; ABREU, António – Applying social network analysis to identify project critical success factors. Sustainability. ISSN 2071-1050. Vol. 12, N.º 4 (2020), pp. 1-32pt_PT
dc.identifier.doi10.3390/su12041503pt_PT
dc.identifier.issn2071-1050
dc.identifier.urihttp://hdl.handle.net/10400.21/11166
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.subjectProject managementpt_PT
dc.subjectRisk managementpt_PT
dc.subjectSocial network analysispt_PT
dc.subjectProject outcome likelihoodpt_PT
dc.subjectProject lifecyclept_PT
dc.subjectProject critical success factospt_PT
dc.subjectSocial capitalpt_PT
dc.subjectPeople data managementpt_PT
dc.subjectCompetitive advantagept_PT
dc.subjectSustainabilitypt_PT
dc.titleApplying social network analysis to identify project critical success factorspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage32pt_PT
oaire.citation.issue4pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleSustainabilitypt_PT
oaire.citation.volume12pt_PT
person.familyNameNunes
person.familyNameAbreu
person.givenNameMarco
person.givenNameAntónio
person.identifier1829666
person.identifier.ciencia-id3417-C700-7340
person.identifier.ciencia-idF51F-F42E-3D57
person.identifier.orcid0000-0003-3983-1007
person.identifier.orcid0000-0001-8839-5606
person.identifier.ridD-3964-2014
person.identifier.scopus-author-id57218315486
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationb4e810f0-775f-4098-acdf-c432baf81849
relation.isAuthorOfPublication2e303e99-df37-4381-bf3c-0ab7fc69703c
relation.isAuthorOfPublication.latestForDiscovery2e303e99-df37-4381-bf3c-0ab7fc69703c

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