Adaptation of the MIVES method for the Strategic Selection of New Technologies at an R&D Center. Focus on the manufacturing sector.

[EN] The key role of R&D Centers for technological development in industrial companies is undeniable and clearly impacts on the competitive strategies of industry. R&D Centers assume responsibility for the identification, selection, acquisition, development, and transfer of technology. Among...

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Detalhes bibliográficos
Autores: Lizarralde, Rafael, Ganzarain, Jaione, Zubizarreta Irure, Mikel
Tipo de documento: artigo
Data de publicação:2022
País:España
Recursos:Universidad del País Vasco
Repositório:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:dnet:addi________::2cfae57f2e7680999f6a6aa5ebc33b31
Acesso em linha:http://hdl.handle.net/10810/78658
Access Level:Acceso aberto
Palavra-chave:technology selection
r&d center
mcdm
mives
manufacturing
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spelling Adaptation of the MIVES method for the Strategic Selection of New Technologies at an R&D Center. Focus on the manufacturing sector.Lizarralde, RafaelGanzarain, JaioneZubizarreta Irure, Mikeltechnology selectionr&d centermcdmmivesmanufacturing[EN] The key role of R&D Centers for technological development in industrial companies is undeniable and clearly impacts on the competitive strategies of industry. R&D Centers assume responsibility for the identification, selection, acquisition, development, and transfer of technology. Among their activities, the successful selection of new technologies is becoming a highly critical and complex challenge in the Technology Management Process. The problem underlying the right selection of new generations of technologies is, from a methodological perspective, linked to key heterogeneous (technological, economic, human, and organizational) factors. Even though previous research has focused on the selection of technologies within the industrial sector, there is little research on the selection of technology at R&D Institutions and, in particular, at R&D Centers. In this research, a Multiple Criteria Decision Making (MCDM)-based evaluation model for decision-making (MIVES), adaptable to one or several technologies, is therefore, employed. In such complex scenarios, MCDM models are a suitable approach to decision-making. The model is then applied to a real case study, in which the evaluation of a new technology at a Spanish R&D Center specializing in manufacturing is analyzed.SAREN Research Group (IT1619–22, Basque Government)Elsevier202620262022info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/78658reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoIngléshttps://doi.org/10.1016/j.technovation.2022.102462info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/© 2022 Elsevier under the CC-BY-NC-ND 4.0 licenseoai:dnet:addi________::2cfae57f2e7680999f6a6aa5ebc33b312026-06-18T09:23:17Z
dc.title.none.fl_str_mv Adaptation of the MIVES method for the Strategic Selection of New Technologies at an R&D Center. Focus on the manufacturing sector.
title Adaptation of the MIVES method for the Strategic Selection of New Technologies at an R&D Center. Focus on the manufacturing sector.
spellingShingle Adaptation of the MIVES method for the Strategic Selection of New Technologies at an R&D Center. Focus on the manufacturing sector.
Lizarralde, Rafael
technology selection
r&d center
mcdm
mives
manufacturing
title_short Adaptation of the MIVES method for the Strategic Selection of New Technologies at an R&D Center. Focus on the manufacturing sector.
title_full Adaptation of the MIVES method for the Strategic Selection of New Technologies at an R&D Center. Focus on the manufacturing sector.
title_fullStr Adaptation of the MIVES method for the Strategic Selection of New Technologies at an R&D Center. Focus on the manufacturing sector.
title_full_unstemmed Adaptation of the MIVES method for the Strategic Selection of New Technologies at an R&D Center. Focus on the manufacturing sector.
title_sort Adaptation of the MIVES method for the Strategic Selection of New Technologies at an R&D Center. Focus on the manufacturing sector.
dc.creator.none.fl_str_mv Lizarralde, Rafael
Ganzarain, Jaione
Zubizarreta Irure, Mikel
author Lizarralde, Rafael
author_facet Lizarralde, Rafael
Ganzarain, Jaione
Zubizarreta Irure, Mikel
author_role author
author2 Ganzarain, Jaione
Zubizarreta Irure, Mikel
author2_role author
author
dc.subject.none.fl_str_mv technology selection
r&d center
mcdm
mives
manufacturing
topic technology selection
r&d center
mcdm
mives
manufacturing
description [EN] The key role of R&D Centers for technological development in industrial companies is undeniable and clearly impacts on the competitive strategies of industry. R&D Centers assume responsibility for the identification, selection, acquisition, development, and transfer of technology. Among their activities, the successful selection of new technologies is becoming a highly critical and complex challenge in the Technology Management Process. The problem underlying the right selection of new generations of technologies is, from a methodological perspective, linked to key heterogeneous (technological, economic, human, and organizational) factors. Even though previous research has focused on the selection of technologies within the industrial sector, there is little research on the selection of technology at R&D Institutions and, in particular, at R&D Centers. In this research, a Multiple Criteria Decision Making (MCDM)-based evaluation model for decision-making (MIVES), adaptable to one or several technologies, is therefore, employed. In such complex scenarios, MCDM models are a suitable approach to decision-making. The model is then applied to a real case study, in which the evaluation of a new technology at a Spanish R&D Center specializing in manufacturing is analyzed.
publishDate 2022
dc.date.none.fl_str_mv 2022
2026
2026
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10810/78658
url http://hdl.handle.net/10810/78658
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://doi.org/10.1016/j.technovation.2022.102462
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/4.0/
© 2022 Elsevier under the CC-BY-NC-ND 4.0 license
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
© 2022 Elsevier under the CC-BY-NC-ND 4.0 license
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Addi. Archivo Digital para la Docencia y la Investigación
instname:Universidad del País Vasco
instname_str Universidad del País Vasco
reponame_str Addi. Archivo Digital para la Docencia y la Investigación
collection Addi. Archivo Digital para la Docencia y la Investigación
repository.name.fl_str_mv
repository.mail.fl_str_mv
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