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Crisis management model and recommended system for construction and real estate

dc.contributor.authorKaklauskas, Artūras
dc.contributor.authorZavadskas, Edmundas Kazimieras
dc.contributor.authorKazokaitis, Paulius
dc.contributor.authorBivainis, Juozas
dc.contributor.authorGalinienė, Birutė
dc.contributor.authord'Amato, Maurizio
dc.contributor.authorNaimavičienė, Jurga
dc.contributor.authorUrbanavičienė, Vita
dc.contributor.authorVitas, Artūras
dc.contributor.authorČerkauskas, Justas
dc.date.accessioned2023-09-18T19:44:28Z
dc.date.available2023-09-18T19:44:28Z
dc.date.issued2013
dc.identifier.other(BIS)VGT02-000026631
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/142891
dc.description.abstractIntegrated analysis and rational decision-making at the micro-, meso- and macro-levels are needed to mitigate the effects of recession on the construction and real estate sector. Crisis management involves numerous aspects that should be considered in addition to making economic, political and legal/regulatory decisions. These must include social, culture, ethical, psychological, educational, environmental, provisional, technological, technical, organizational and managerial aspects. This article presents a model and system for such considerations and discusses certain composite parts of it.eng
dc.formatPDF
dc.format.extentp. 333-343
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.ispartofseriesStudies in Computational Intelligence vol. 457 1860-949X
dc.relation.isreferencedbyConference Proceedings Citation Index - Science (Web of Science)
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyMathSciNet
dc.relation.isreferencedbyZentralblatt MATH (zbMATH)
dc.relation.isreferencedbySpringerLink
dc.source.urihttp://link.springer.com/content/pdf/10.1007%2F978-3-642-34300-1_32.pdf
dc.titleCrisis management model and recommended system for construction and real estate
dc.typeStraipsnis konferencijos darbų leidinyje Web of Science DB / Paper in conference publication in Web of Science DB
dcterms.references14
dc.type.pubtypeP1a - Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionVilniaus universitetas
dc.contributor.institutionTechnical University of Bari
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.contributor.facultyVerslo vadybos fakultetas / Faculty of Business Management
dc.contributor.facultyVilniaus Gedimino technikos universitetas / Vilniaus Gedimino technikos universitetas
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.researchfieldN 009 - Informatika / Computer science
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.enConstruction
dc.subject.enReal estate
dc.subject.enCrisis management
dc.subject.enQuantitative and qualitative methods
dc.subject.enGlobal development trends
dc.subject.enAlternatives
dc.subject.enLithuania
dc.subject.enModel
dc.subject.enSystem
dc.subject.enForecasting
dcterms.sourcetitleAdvanced methods for computational collective intelligence. 4th International Conference on Computational Collective Intelligence Technologies and Applications (ICCCI 2012), Ho Chi Min City, Vietnam, November 28-30, 2012
dc.publisher.nameSpringer
dc.publisher.cityBerlin, Heidelberg
dc.identifier.doi000312877500032
dc.identifier.doi10.1007/978-3-642-34300-1_32
dc.identifier.elaba4028130


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