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dc.contributor.authorPakšytė, Ieva
dc.contributor.authorJurevičienė, Daiva
dc.date.accessioned2023-09-18T16:19:23Z
dc.date.available2023-09-18T16:19:23Z
dc.date.issued2022
dc.identifier.issn2029-4441
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/113181
dc.description.abstractExperience shows that 9 out of 10 start-ups and SMEs do not survive in the market and fail at an early stage. This study aims to fill a gap on how start-ups and SMEs are affected by venture capital fund investments, i.e., identifying the criteria for selecting a potentially best VCF, ensuring the success of the investment and reducing possible bankruptcy risk. The object is VCFs in the United States. The data was used from a publicly available statistical database Crunchbase. Using the complex proportional assessment method CORPAS for evaluating and ranking VCF criteria and the cluster analysis – for identifying similarities between VCFs and dividing VCF into clusters, the investigation determines the crucial criteria. The most important are: Years in business of VCF; The number of employees working for VCF; The fund’s marketing strategy. The study results can help further to develop an evaluation system of VCF eligibility criteria.eng
dc.formatPDF
dc.format.extentp. 87-95
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyConference Proceedings Citation Index - Social Science & Humanities (Web of Science)
dc.titleStudy on the eligibility of venture capital funds in the united states market
dc.typeStraipsnis konferencijos darbų leidinyje Web of Science DB / Paper in conference publication in Web of Science DB
dcterms.accessRightsThis is an open-access article distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references26
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.facultyVerslo vadybos fakultetas / Faculty of Business Management
dc.subject.researchfieldS 004 - Ekonomika / Economics
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.vgtuprioritizedfieldsEV02 - Aukštos pridėtinės vertės ekonomika / High Value-Added Economy
dc.subject.ltspecializationsL103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society
dc.subject.enventure capital funds
dc.subject.eneligibility criteria
dc.subject.enmulti-criteria decision methods
dc.subject.enCOPRAS
dc.subject.encluster analysis
dc.subject.enbankruptcy risk mitigation
dcterms.sourcetitle12th International scientific conference “Business and management 2022”, May 12–13, 2022, Vilnius, Lithuania
dc.publisher.nameVilnius Gediminas Technical University
dc.publisher.cityVilnius
dc.identifier.doi000887405800010
dc.identifier.doi10.3846/bm.2022.778
dc.identifier.elaba131520942


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