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A multiple criteria group decision-making approach for the assessment of small and medium-sized enterprise competitiveness

dc.contributor.authorGonçalves, Joana M.
dc.contributor.authorFerreira, Fernando A.F.
dc.contributor.authorFerreira, João J.
dc.contributor.authorFarinha, Luís
dc.date.accessioned2019-12-16T10:22:56Z
dc.date.available2019-12-16T10:22:56Z
dc.date.issued2019
dc.description.abstractPurpose Small- and medium-sized enterprises (SMEs) have become increasingly important in national and international markets because they contribute to the development of local and national economies. SMEs often face serious challenges when competing with multinational companies. The purpose of this paper is to develop a method for assessing SMEs’ competitiveness. Design/methodology/approach Based on a constructivist epistemology, this study makes an integrated use of cognitive mapping and the measuring attractiveness by a categorical-based evaluation technique (MACBETH). To this end, face-to-face sessions were conducted with a panel of entrepreneurs and senior managers who deal with the challenges of maintaining SME competitiveness every day. The proposed assessment system was tested and validated by the panel members. Findings The methodological processes adopted in this study provide promising results for decision makers seeking to identify the most competitive SMEs. Specifically, the results emphasize, among other points, the importance of innovation and the human dimension to gaining competitive advantages. Research limitations/implications The evaluation system developed in this study is extremely versatile and confirms the usefulness of integrating cognitive mapping and MACBETH to facilitate evaluations of SME competitiveness. However, due to its idiosyncratic and process-oriented nature, generalizations need to be done with caution. Practical implications The proposed method can be valuable to researchers seeking to develop mechanisms for evaluating SMEs’ entrepreneurial performance and include specialized know-how and sensemaking in organizational decision-making processes. Originality/value The integrated use of cognitive maps and MACBETH contributes to a better understanding of how to assess SMEs’ competitiveness. No prior work reporting the use of this dual methodology in this study context has been found.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGonçalves, J., Ferreira, F., Ferreira, J. and Farinha, L. (2019), "A multiple criteria group decision-making approach for the assessment of small and medium-sized enterprise competitiveness", Management Decision, Vol. 57 No. 2, pp. 480-500. https://doi.org/10.1108/MD-02-2018-0203 Download as .RISpt_PT
dc.identifier.doi10.1108/MD-02-2018-0203pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.11/6826
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherEmeraldpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/pt_PT
dc.subjectMACBETHpt_PT
dc.subjectEntrepreneurshippt_PT
dc.subjectCognitive mappingpt_PT
dc.subjectGroup decision-makingpt_PT
dc.subjectSME competitiveness evaluationpt_PT
dc.subjectSpecialized know-how and sensemakingpt_PT
dc.titleA multiple criteria group decision-making approach for the assessment of small and medium-sized enterprise competitivenesspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage500pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage480pt_PT
oaire.citation.titleManagement Decisionpt_PT
oaire.citation.volume57pt_PT
person.familyNameFerreira
person.familyNameFarinha
person.givenNameJoão
person.givenNameLuís
person.identifier.ciencia-id3F18-9015-5CA7
person.identifier.ciencia-id8618-CBA6-5070
person.identifier.orcid0000-0002-5928-2474
person.identifier.orcid0000-0003-1705-5000
person.identifier.ridK-7669-2012
person.identifier.scopus-author-id25959981800
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication129bc4f9-8618-4c86-9771-26ae7fec04a2
relation.isAuthorOfPublicationc18f07a5-e755-453a-8ea2-9ba0ebaf8668
relation.isAuthorOfPublication.latestForDiscovery129bc4f9-8618-4c86-9771-26ae7fec04a2

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