dc.rights.license | Kūrybinių bendrijų licencija / Creative Commons licence | en_US |
dc.contributor.author | Razminienė, Kristina | |
dc.contributor.author | Tvaronavičienė, Manuela | |
dc.date.accessioned | 2024-05-07T07:30:20Z | |
dc.date.available | 2024-05-07T07:30:20Z | |
dc.date.issued | 2018 | |
dc.identifier.isbn | 9786094761195 | en_US |
dc.identifier.issn | 2029-4441 | en_US |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/154148 | |
dc.description.abstract | This paper is composed to specify the indicators identified by scholars used for cluster performance, efficiency or competitiveness assessment. Traditional bibliometric technique was chosen to identify the trends in cluster literature. Articles from the Web of Science database were selected according to the times they were cited which allowed systemizing the aspects of the research and making valuable observations. A system of indicators which should get the most attention in cluster research was composed identifying exceptionally important points to discuss and include in the following studies. In the national level clusters usually are not able to compare their performance for there is no system created to serve this purpose. The close analysis of the indicators of cluster performance would enable cluster evaluation tool formation for cluster performance evaluation in national level. | en_US |
dc.format.extent | 12 p. | en_US |
dc.format.medium | Tekstas / Text | en_US |
dc.language.iso | en | en_US |
dc.relation.uri | https://etalpykla.vilniustech.lt/handle/123456789/154008 | en_US |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.source.uri | https://bm.vgtu.lt/index.php/verslas/2018/paper/view/427 | en_US |
dc.subject | cluster | en_US |
dc.subject | proximity | en_US |
dc.subject | indicators | en_US |
dc.subject | innovations | en_US |
dc.subject | R&D | en_US |
dc.subject | performance | en_US |
dc.subject | competitiveness | en_US |
dc.subject | knowledge transfer | en_US |
dc.title | Towards clusters’ performance evaluation: the system of indicators | 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 | Contemporary issues in economics engineering | en_US |
dcterms.issued | 2018-05-04 | |
dcterms.license | CC BY | en_US |
dcterms.references | 63 | 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 |
dc.contributor.department | Verslo technologijų ir verslininkystės katedra / Department of Business Technologies and Entrepreneurship | en_US |
dcterms.sourcetitle | 10th International Scientific Conference “Business and Management 2018” | en_US |
dc.identifier.eisbn | 9786094761188 | 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.2018.06 | en_US |