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MCDA in knowledge-based economies: Methodological developments and real world applications

dc.contributor.authorCarayannis, Elias G.
dc.contributor.authorFerreira, João
dc.contributor.authorJalali, Marjan
dc.contributor.authorFerreira, Fernando A. F.
dc.date.accessioned2018-12-03T17:45:17Z
dc.date.available2018-12-03T17:45:17Z
dc.date.issued2018
dc.description.abstractThe importance of knowledge in creating value, driving productivity and promoting economic growth has long been recognized. Accompanying this recognition of the central role of knowledge in today's economies has been an added focus on information technology, learning and the accelerated pace of technical and scientific advance that results therefrom. Closely connected to these developments has been the advent of big data; and as information becomes available at greater volumes and higher speed, the focus is shifting from quantity to the quality of the information collected and the manner in which it is used. In this respect, Multiple Criteria Decision Analysis (MCDA) techniques constitute valuable tools for structuring and evaluating complex decision situations, and can allow for more informed, potentially better decisions. MCDA techniques are able to build on the knowledge of expert participants in a given field, and produce assessment systems based on values and experience. Constructivist in nature, this approach has grown exponentially over the past few decades, causing a change in the decision-making arena in general, and in the field of decision support systems (DSS) in particular. The objective of this special issue is to bring together recent developments and methodological contributions within MCDA, with the challenges which characterize the knowledge-based economy, as they pertain to the themes of technological forecasting and social change.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCarayannis, E., Ferreira, J., Jalali, M., Ferreira, F. (2018). MCDA in knowledge-based economies: Methodological developments and real world applications, Technological Forecasting and Social Change, 131: 1-3pt_PT
dc.identifier.doi10.1016/j.techfore.2018.01.028pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/6576
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.titleMCDA in knowledge-based economies: Methodological developments and real world applicationspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage3pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleTechnological Forecasting and Social Changept_PT
oaire.citation.volume131pt_PT
person.familyNameCARAYANNIS
person.familyNameFerreira
person.familyNameFonseca Jalali
person.familyNameFerreira
person.givenNameELIAS
person.givenNameJoão
person.givenNameMarjan Sara
person.givenNameFernando
person.identifier.ciencia-id3F18-9015-5CA7
person.identifier.ciencia-idBD18-9FAE-E9CA
person.identifier.orcid0000-0003-2348-4311
person.identifier.orcid0000-0002-5928-2474
person.identifier.orcid0000-0002-1508-9824
person.identifier.orcid0000-0001-5208-9084
person.identifier.ridK-7669-2012
person.identifier.scopus-author-id7006225155
person.identifier.scopus-author-id25959981800
person.identifier.scopus-author-id37115389700
rcaap.embargofctCopyright cedido à editora no momento da publicaçãopt_PT
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication.latestForDiscoveryd7a96b50-27ef-4f2a-9326-b805db51e43d

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