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A new approach for agile teams' allocation in open innovation projects

2023-02-16Journal article Open access
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dc.contributor.authorAnes, Vitor
dc.contributor.authorAbreu, António
dc.contributor.authorDias, Ana
dc.contributor.authorCalado, João Manuel Ferreira
dc.date.accessioned2023-05-16T11:16:44Z
dc.date.available2023-05-16T11:16:44Z
dc.date.issued2023-02-16
dc.description.abstractDue to constant change in the marketplace, it can be difficult for companies to secure the material, human, and technological resources necessary for competitive innovation activities. In this sense, and to overcome these constraints, the open innovation model is a quite successful approach, where the sharing of resources among companies allows the formation of an innovation ecosystem. However, the execution time of these projects can be negatively affected if the performance of each work team is not taken into account. In this work, the application of the agile approach in open innovation projects is proposed as a way to reduce the uncertainty both in the execution time of the projects and in the respective implementation costs. In this sense, a methodology for optimal team assignment for agile teams in open innovation projects according to their performance on each project task is developed to determine the optimal team assignment that leads to the shortest project execution time. This methodology will support decision making in the project management of open innovation projects, especially in the selection of the internal and external work teams that will participate in a given innovation project. The application of the proposed methodology is illustrated with an example describing and analyzing the different steps of its application. The results show that with the proposed methodology it is possible to take into account the performance of each team when calculating the project execution time and that the project execution time varies depending on the assignment of the agile teams to the project tasks. It is also shown that it is possible to determine the optimal assignment with the shortest project execution time.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationANES, Vítor; [et al] – A new approach for agile teams' allocation in open innovation projects. Administrative Sciences. eISSN 2076-3387. Vol. 13, N.º 2 (2023), pp. 1-26.pt_PT
dc.identifier.doi10.3390/admsci13020062pt_PT
dc.identifier.eissn2076-3387
dc.identifier.urihttp://hdl.handle.net/10400.21/16042
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationIPL/2021/ ReEdIA_ISEL - Instituto Politécnico de Lisboapt_PT
dc.relationAssociate Laboratory of Energy, Transports and Aeronautics
dc.relation.publisherversionhttps://www.mdpi.com/2076-3387/13/2/62pt_PT
dc.subjectOpen innovationpt_PT
dc.subjectAgile teamspt_PT
dc.subjectTeam assignmentpt_PT
dc.subjectOptimizationpt_PT
dc.subjectProject completion timept_PT
dc.subjectProject managementpt_PT
dc.subjectDecision makingpt_PT
dc.titleA new approach for agile teams' allocation in open innovation projectspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleAssociate Laboratory of Energy, Transports and Aeronautics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50022%2F2020/PT
oaire.citation.endPage26pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleAdministrative Sciencespt_PT
oaire.citation.volume13pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameAnes
person.familyNameAbreu
person.familyNameCalado
person.givenNameVitor
person.givenNameAntónio
person.givenNameJoão
person.identifier1829666
person.identifier370725
person.identifier.ciencia-id841E-DD98-58C2
person.identifier.ciencia-idF51F-F42E-3D57
person.identifier.ciencia-idB518-93E3-E7AB
person.identifier.orcid0000-0002-8526-398X
person.identifier.orcid0000-0001-8839-5606
person.identifier.orcid0000-0001-6628-4657
person.identifier.ridD-6173-2014
person.identifier.ridD-3964-2014
person.identifier.ridM-4167-2013
person.identifier.scopus-author-id52463218100
person.identifier.scopus-author-id57218315486
person.identifier.scopus-author-id7006897277
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication.latestForDiscovery2e303e99-df37-4381-bf3c-0ab7fc69703c
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