dc.contributor.author | Branco, Joana M.P. | |
dc.contributor.author | Ferreira, Fernando A.F. | |
dc.contributor.author | Meidutė-Kavaliauskienė, Ieva | |
dc.contributor.author | Banaitis, Audrius | |
dc.contributor.author | Falcão, Pedro F. | |
dc.date.accessioned | 2023-09-18T17:42:08Z | |
dc.date.available | 2023-09-18T17:42:08Z | |
dc.date.issued | 2019 | |
dc.identifier.issn | 1057-9214 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/125042 | |
dc.description.abstract | Resilience 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.format | PDF | |
dc.format.extent | p. 252-264 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Wiley InterScience | |
dc.relation.isreferencedby | SwetsWise | |
dc.relation.isreferencedby | Professional ProQuest Central | |
dc.relation.isreferencedby | ProQuest Central | |
dc.relation.isreferencedby | Ingenta Connect | |
dc.relation.isreferencedby | Business Source Complete | |
dc.relation.isreferencedby | Emerging Sources Citation Index (Web of Science) | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | Wiley Online Library | |
dc.rights | Neprieinamas | |
dc.source.uri | https://onlinelibrary.wiley.com/doi/full/10.1002/mcda.1662#accessDenialLayout | |
dc.title | Analysing determinants of small and medium‐sized enterprise resilience using fuzzy cognitive mapping | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.references | 62 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | ISCTE Business School, University Institute of Lisbon | |
dc.contributor.institution | ISCTE Business School, BRU‐IUL, University Institute of Lisbon | |
dc.contributor.institution | Generolo Jono Žemaičio Lietuvos karo akademija BRU‐IUL, University Institute of Lisbon | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.institution | 1 ISCTE Business School, University Institute of Lisbon | |
dc.contributor.faculty | Statybos fakultetas / Faculty of Civil Engineering | |
dc.subject.researchfield | S 003 - Vadyba / Management | |
dc.subject.vgtuprioritizedfields | EV01 - Šiuolaikinių organizacijų plėtros vadyba / Management of Contemporary Organizations Development | |
dc.subject.ltspecializations | L103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society | |
dc.subject.en | Cognitive maps | |
dc.subject.en | competitiveness and economic development | |
dc.subject.en | decision making | |
dc.subject.en | fuzzy cognitive map (FCM) | |
dc.subject.en | small and medium‐sized enterprises (SMEs) | |
dc.subject.en | resilience | |
dcterms.sourcetitle | Journal of multi-criteria decision analysis : Optimization, learning, and decision support | |
dc.description.issue | iss. 5-6 | |
dc.description.volume | vol. 26 | |
dc.publisher.name | John Wiley & Sons Ltd | |
dc.publisher.city | Hoboken | |
dc.identifier.doi | 2-s2.0-85062365754 | |
dc.identifier.doi | 85062365754 | |
dc.identifier.doi | 0 | |
dc.identifier.doi | 10.1002/mcda.1662 | |
dc.identifier.elaba | 34824407 | |