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Assessing the innovation capability of small- and medium-sized enterprises using a non-parametric and integrative approach

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dc.contributor.authorCastela, Bernardo M.S.
dc.contributor.authorFerreira, Fernando A.F.
dc.contributor.authorFerreira, João José de Matos
dc.contributor.authorMarques, Carla S.E.
dc.date.accessioned2018-12-03T18:38:37Z
dc.date.available2018-12-03T18:38:37Z
dc.date.issued2018
dc.description.abstractPurpose The aftermath of the recent financial crisis has shown that the ability to innovate is a vital management skill and that the methodologies used to evaluate innovation capability within small- and medium-sized enterprises (SMEs) should be as holistic and integrative as possible. The purpose of this paper is to address this issue through the combined use of cognitive mapping and the analytic hierarchy process (AHP). Design/methodology/approach Cognitive mapping and multiple criteria decision analysis have proved over the years to be effective in handling a wide range of complex decision problems. Following a socio-technical approach, a non-parametric method of evaluating SME innovation capability – based on the results of group meetings with a panel of information technology entrepreneurs and SME chief executive officers – was created, tested and validated. Findings The methodological processes adopted in this study provide promising results for decision makers seeking to identify the most innovative SMEs. Furthermore, the sensitivity analyses carried out also supported the findings. Research limitations/implications This study confirms the usefulness of integrating cognitive mapping and the AHP to facilitate evaluations of SME innovation capability. However, due to the process-oriented nature of the research, extrapolations without proper adjustments are not recommended. Practical implications The panel members who participated in this study consider the proposal extremely versatile and see great potential for further applications in the measurement of SME innovation capability. Originality/value The combined use of cognitive mapping and the AHP offers a holistic and well-informed perspective on the issue in question. The authors know of no prior work reporting this approach in the same research context.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCastela, B., Ferreira, F., Ferreira, J., Marques, C. (2018). Assessing the innovation capability of small- and medium-sized enterprises using a non-parametric and integrative approach. Management Decision, 56 (6): 1365-1383pt_PT
dc.identifier.doi10.1108/MD-02-2017-0156pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/6584
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.subjectAnalytic hierarchy process (AHP)pt_PT
dc.subjectSmall- and medium-sized enterprises (SME)pt_PT
dc.subjectCognitive mappingpt_PT
dc.subjectHolistic viewpt_PT
dc.subjectInnovation capability evaluationpt_PT
dc.subjectMultiple criteria decision analysis (MCDA)pt_PT
dc.titleAssessing the innovation capability of small- and medium-sized enterprises using a non-parametric and integrative approachpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FGES%2F04630%2F2013/PT
oaire.citation.endPage1383pt_PT
oaire.citation.issue6pt_PT
oaire.citation.startPage1365pt_PT
oaire.citation.titleManagement Decisionpt_PT
oaire.citation.volume56pt_PT
oaire.fundingStream5876
person.familyNameFerreira
person.givenNameJoão
person.identifier.ciencia-id3F18-9015-5CA7
person.identifier.orcid0000-0002-5928-2474
person.identifier.ridK-7669-2012
person.identifier.scopus-author-id25959981800
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.embargofctCopyright cedido à editora no momento da publicaçãopt_PT
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication05278588-4db8-408b-992d-f78f326a988e
relation.isAuthorOfPublication.latestForDiscovery05278588-4db8-408b-992d-f78f326a988e
relation.isProjectOfPublicationa5ebbbe7-8a95-445c-8200-145033bf827a
relation.isProjectOfPublication.latestForDiscoverya5ebbbe7-8a95-445c-8200-145033bf827a

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