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dc.contributor.authorFiala, Petr
dc.contributor.authorMajovská, Renata
dc.date.accessioned2021-01-18T07:18:38Z
dc.date.available2021-01-18T07:18:38Z
dc.date.issued2020
dc.identifier.citationTrendy v podnikání = Business trends : vědecký časopis Fakulty ekonomické ZČU v Plzni. 2020, roč. 10, č. 3, s. 4-11.cs
dc.identifier.issn1805-0603
dc.identifier.urihttp://hdl.handle.net/11025/42439
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherZápadočeská univerzita v Plznics
dc.rights© Západočeská univerzita v Plznics
dc.subjectportfolio projektůcs
dc.subjectvíce kritériícs
dc.subjectdynamikacs
dc.subjectrizikocs
dc.subjectúčinnostcs
dc.titleNew trends in project portfolio managementen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe use of project portfolio management is increasingly becoming a tool for promoting the strategy of the organization. Using sophisticated quantitative tools becomes a significant competitive advantage for project portfolio management. Project portfolio management is a dynamic multi-criteria decision-making problem under risk. The paper presents new approaches for analyzing the problem. A dynamic version of the Analytic Network Process (ANP) captures the network, multicriteria and dynamic structure of the problem. Multicriteria decision trees analyze risk of project portfolios. Possible projects are characterized by sets of inputs and outputs, where inputs are resources for project realization and outputs measure multiple criteria of goals of the organization. The Data Envelopment Analysis (DEA) is an appropriate approach to select efficient project portfolios.en
dc.subject.translatedproject portfolioen
dc.subject.translatedmultiple criteriaen
dc.subject.translateddynamicsen
dc.subject.translatedrisken
dc.subject.translatedefficiencyen
dc.identifier.doihttps://doi.org/10.24132/jbt.2020.10.3.4_11
dc.type.statusPeer-revieweden
Appears in Collections:Číslo 3 (2020)
Číslo 3 (2020)

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