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Fuzzy algorithm applied to factors influencing competitiveness: A case study of Brazil and Peru through affinities theory

dc.contributor.authorBarcellos-Paula, Luciano
dc.contributor.authorRezende, Aline
dc.contributor.authorAlvares, Daniela Fantoni
dc.date.accessioned2023-12-05T10:30:04Z
dc.date.available2023-12-05T10:30:04Z
dc.date.issued2023-11-08
dc.date.updated2023-11-24T14:23:06Z
dc.description.abstractInnovation plays a crucial role in the economy of nations worldwide. In Latin America, countries foster competitiveness through public and private incentives to support innovation. Moreover, entrepreneurship incentives seek to improve countries’ performance, although factors such as low business growth rates and informality can compromise it. Despite the efforts, there are several difficulties in achieving competitiveness, and few studies in developing countries. Therefore, the article explores the relationship between the factors that influence competitiveness, especially the role of innovation and entrepreneurship in Brazil and Peru. The research uses quantitative-qualitative methodology through modeling and simulation and a case study. The authors use the Affinities Theory to verify the relationship between the indicators that make up the competitiveness landscape and its most significant and attractive factors, adapting the methodology established by the International Institute for Management Development (IMD) World Competitiveness ranking. As a result, this algorithm allows us to know the relationships between five factors of economic attractiveness and four competitiveness indicators. As its main contributions, the study advances the frontier of knowledge about innovation and entrepreneurship, as few studies explore competitiveness in developing countries. Also, it offers a detailed explanation of the application of this algorithm, allowing researchers to reproduce this methodology in other scenarios. Practically, it might support policymakers in formulating development strategies and stimuli for business competitiveness. In addition, academic and business leaders can strengthen university-business collaboration with applied research in innovation and entrepreneurship. One limitation would be the number of countries participating in the research. The authors suggest future lines of research.pt_PT
dc.description.sponsorshipProject number 522RT0130 in Programa Ibero-americano de Ciências y Tecnologia para el Desarrolho (CYTED)pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAxioms 12 (11): 1038 (2023)pt_PT
dc.identifier.doi10.3390/axioms12111038pt_PT
dc.identifier.eissn2075-1680
dc.identifier.urihttp://hdl.handle.net/10400.1/20184
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectFuzzy logicpt_PT
dc.subjectAffinities Theorypt_PT
dc.subjectCompetitivenesspt_PT
dc.subjectInnovationpt_PT
dc.subjectEntrepreneurshippt_PT
dc.subjectBrazilpt_PT
dc.subjectPerupt_PT
dc.titleFuzzy algorithm applied to factors influencing competitiveness: A case study of Brazil and Peru through affinities theorypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue11pt_PT
oaire.citation.startPage1038pt_PT
oaire.citation.titleAxiomspt_PT
oaire.citation.volume12pt_PT
person.familyNamede Castro Rezende
person.givenNameAline
person.identifier.ciencia-id511B-B642-C8AE
person.identifier.orcid0000-0002-4269-0631
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication5c452b3f-fdd6-4777-907a-4024808e5681
relation.isAuthorOfPublication.latestForDiscovery5c452b3f-fdd6-4777-907a-4024808e5681

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