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dc.contributor.authorBranco, Joana M.P.
dc.contributor.authorFerreira, Fernando A.F.
dc.contributor.authorMeidutė-Kavaliauskienė, Ieva
dc.contributor.authorBanaitis, Audrius
dc.contributor.authorFalcão, Pedro F.
dc.date.accessioned2023-09-18T17:42:08Z
dc.date.available2023-09-18T17:42:08Z
dc.date.issued2019
dc.identifier.issn1057-9214
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/125042
dc.description.abstractResilience is an increasingly important concept in current socioeconomic landscapes. Due to the competitive global context in which we live, this trend is particularly noticeable in small and medium‐sized enterprises (SMEs). Due to their limited resources and capabilities, these firms are exposed to unfavourable scenarios that can threaten their stability, viability, and development (i.e., their resilience). Thus, identifying the determinants of SME resilience and their respective cause‐and‐effect relationships is a vital endeavour because these companies' resilience involves a wide variety of conceptual or theoretical issues that need to be understood more fully. This study proposes the creation of a fuzzy cognitive map as a novel way to analyse the determinants of SME resilience. The fuzzy cognitive map was developed based on the insights obtained during two intensive group meetings with a panel of SME managers and entrepreneurs. The resulting well‐informed, process‐oriented framework contains the determinants that need to be considered in this research context. The static and dynamic analyses carried out produced an improved understanding of the cause‐and‐effect relationships between determinants of SME resilience, which facilitates better strategic planning by these firms' managers. The practical implications, advantages, and limitations of the proposed approach are also discussed.eng
dc.formatPDF
dc.format.extentp. 252-264
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyWiley InterScience
dc.relation.isreferencedbySwetsWise
dc.relation.isreferencedbyProfessional ProQuest Central
dc.relation.isreferencedbyProQuest Central
dc.relation.isreferencedbyIngenta Connect
dc.relation.isreferencedbyBusiness Source Complete
dc.relation.isreferencedbyEmerging Sources Citation Index (Web of Science)
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyWiley Online Library
dc.rightsNeprieinamas
dc.source.urihttps://onlinelibrary.wiley.com/doi/full/10.1002/mcda.1662#accessDenialLayout
dc.titleAnalysing determinants of small and medium‐sized enterprise resilience using fuzzy cognitive mapping
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references62
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionISCTE Business School, University Institute of Lisbon
dc.contributor.institutionISCTE Business School, BRU‐IUL, University Institute of Lisbon
dc.contributor.institutionGenerolo Jono Žemaičio Lietuvos karo akademija BRU‐IUL, University Institute of Lisbon
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institution1 ISCTE Business School, University Institute of Lisbon
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.vgtuprioritizedfieldsEV01 - Šiuolaikinių organizacijų plėtros vadyba / Management of Contemporary Organizations Development
dc.subject.ltspecializationsL103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society
dc.subject.enCognitive maps
dc.subject.encompetitiveness and economic development
dc.subject.endecision making
dc.subject.enfuzzy cognitive map (FCM)
dc.subject.ensmall and medium‐sized enterprises (SMEs)
dc.subject.enresilience
dcterms.sourcetitleJournal of multi-criteria decision analysis : Optimization, learning, and decision support
dc.description.issueiss. 5-6
dc.description.volumevol. 26
dc.publisher.nameJohn Wiley & Sons Ltd
dc.publisher.cityHoboken
dc.identifier.doi2-s2.0-85062365754
dc.identifier.doi85062365754
dc.identifier.doi0
dc.identifier.doi10.1002/mcda.1662
dc.identifier.elaba34824407


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