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dc.rights.licenseAttribution 4.0 International*
dc.contributor.authorNguyen Ngoc, Hien
dc.contributor.authorLasa, Ganix
dc.contributor.authorIriarte, Ion
dc.contributor.authorAtxa Gamboa, Ariane
dc.contributor.otherUnamuno Eguren, Gorka
dc.contributor.otherGalfarsoro Urrestilla, Gurutz
dc.date.accessioned2022-11-10T10:15:47Z
dc.date.available2022-11-10T10:15:47Z
dc.date.issued2022
dc.identifier.issn2052-4463en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=167940en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/5821
dc.description.abstractThis article presents a dataset of service design skills which service design experts value as important requirements for design team members. Purposive sampling and a chain referral approach were used to recruit appropriate experts to conduct questionnaire-based research. Using the analytical hierarchy process (AHP), pairwise skills-rating questionnaires were designed to elicit the experts’ responses. The resulting dataset was processed using AHP algorithms programmed in R programming language. The transparent data and available codes of the research may be reused by design practitioners and researchers for replication and further analysis. This paper offers a reproduceable research process and associated dataset for conducting multiple-criteria decision analysis with expert purposive sampling.en
dc.description.sponsorshipComisión Europeaes
dc.language.isoengen
dc.publisherSpringer Natureen
dc.rights© 2022 The Authorsen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleDatasets of skills-rating questionnaires for advanced service design through expert knowledge elicitationen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceScientific Dataen
local.contributor.groupCentro de Innovación en Diseñoes
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.1038/s41597-022-01421-3en
local.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/814078/EU/Digital Manufacturing and Design Training Network/DiManDen
local.contributor.otherinstitutionhttps://ror.org/003qafx79es
local.contributor.otherinstitutionUrola, S.COOP.es
local.source.detailsVol. 9. N. artículo 321. June, 2022en
oaire.format.mimetypeapplication/pdf
oaire.file$DSPACE\assetstore
oaire.resourceTypehttp://purl.org/coar/resource_type/c_6501en
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85en


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Attribution 4.0 International
Except where otherwise noted, this item's license is described as Attribution 4.0 International