dc.rights.license | Kūrybinių bendrijų licencija / Creative Commons licence | en_US |
dc.contributor.author | Pakšytė, Ieva | |
dc.contributor.author | Jurevičienė, Daiva | |
dc.date.accessioned | 2024-07-08T08:14:14Z | |
dc.date.available | 2024-07-08T08:14:14Z | |
dc.date.issued | 2022 | |
dc.date.submitted | 2022-03-07 | |
dc.identifier.isbn | 9786094762888 | en_US |
dc.identifier.issn | 2029-4441 | en_US |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/154591 | |
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. | en_US |
dc.format.extent | 9 p. | en_US |
dc.format.medium | Tekstas / Text | en_US |
dc.language.iso | en | en_US |
dc.relation.uri | https://etalpykla.vilniustech.lt/handle/123456789/154478 | en_US |
dc.rights | Attribution 4.0 International | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_US |
dc.source.uri | https://bm.vgtu.lt/index.php/verslas/2022/paper/view/778 | en_US |
dc.subject | venture capital funds | en_US |
dc.subject | eligibility criteria | en_US |
dc.subject | multi-criteria decision methods | en_US |
dc.subject | COPRAS | en_US |
dc.subject | cluster analysis | en_US |
dc.subject | bankruptcy risk mitigation | en_US |
dc.title | Study on the eligibility of venture capital funds in the United States market | en_US |
dc.type | Konferencijos publikacija / Conference paper | en_US |
dcterms.accessRights | Laisvai prieinamas / Openly available | en_US |
dcterms.accrualMethod | Rankinis pateikimas / Manual submission | en_US |
dcterms.alternative | Advanced economic development | en_US |
dcterms.dateAccepted | 2022-03-30 | |
dcterms.issued | 2022-05-13 | |
dcterms.license | CC BY | en_US |
dcterms.references | 26 | en_US |
dc.description.version | Taip / Yes | en_US |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | en_US |
dc.contributor.institution | Vilnius Gediminas Technical University | en_US |
dc.contributor.faculty | Verslo vadybos fakultetas / Faculty of Business Management | en_US |
dcterms.sourcetitle | 12th International Scientific Conference “Business and Management 2022” | en_US |
dc.identifier.eisbn | 9786094762895 | en_US |
dc.identifier.eissn | 2029-929X | en_US |
dc.publisher.name | Vilnius Gediminas Technical University | en_US |
dc.publisher.name | Vilniaus Gedimino technikos universitetas | en_US |
dc.publisher.country | Lithuania | en_US |
dc.publisher.country | Lietuva | en_US |
dc.publisher.city | Vilnius | en_US |
dc.identifier.doi | https://doi.org/10.3846/bm.2022.778 | en_US |