dc.contributor.author | Pakšytė, Ieva | |
dc.contributor.author | Jurevičienė, Daiva | |
dc.date.accessioned | 2023-09-18T16:19:23Z | |
dc.date.available | 2023-09-18T16:19:23Z | |
dc.date.issued | 2022 | |
dc.identifier.issn | 2029-4441 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/113181 | |
dc.description.abstract | Experience 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.format | PDF | |
dc.format.extent | p. 87-95 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Conference Proceedings Citation Index - Social Science & Humanities (Web of Science) | |
dc.title | Study on the eligibility of venture capital funds in the united states market | |
dc.type | Straipsnis konferencijos darbų leidinyje Web of Science DB / Paper in conference publication in Web of Science DB | |
dcterms.accessRights | This 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.license | Creative Commons – Attribution – 4.0 International | |
dcterms.references | 26 | |
dc.type.pubtype | P1a - Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Verslo vadybos fakultetas / Faculty of Business Management | |
dc.subject.researchfield | S 004 - Ekonomika / Economics | |
dc.subject.researchfield | S 003 - Vadyba / Management | |
dc.subject.vgtuprioritizedfields | EV02 - Aukštos pridėtinės vertės ekonomika / High Value-Added Economy | |
dc.subject.ltspecializations | L103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society | |
dc.subject.en | venture capital funds | |
dc.subject.en | eligibility criteria | |
dc.subject.en | multi-criteria decision methods | |
dc.subject.en | COPRAS | |
dc.subject.en | cluster analysis | |
dc.subject.en | bankruptcy risk mitigation | |
dcterms.sourcetitle | 12th International scientific conference “Business and management 2022”, May 12–13, 2022, Vilnius, Lithuania | |
dc.publisher.name | Vilnius Gediminas Technical University | |
dc.publisher.city | Vilnius | |
dc.identifier.doi | 000887405800010 | |
dc.identifier.doi | 10.3846/bm.2022.778 | |
dc.identifier.elaba | 131520942 | |