dc.rights.license | Kūrybinių bendrijų licencija / Creative Commons licence | en_US |
dc.contributor.author | Ivanov, Ivaylo | |
dc.date.accessioned | 2024-05-17T07:56:21Z | |
dc.date.available | 2024-05-17T07:56:21Z | |
dc.date.issued | 2020 | |
dc.date.submitted | 2020-03-31 | |
dc.identifier.isbn | 9786094762314 | en_US |
dc.identifier.issn | 2029-4441 | en_US |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/154223 | |
dc.description.abstract | Industry 4.0 demands specific conditions and resources from regions. Determining and assessing the potential of regions helps to improve the processes of decision-making of different stakeholders. This study aimed to present an approach for ranking regions. A new tool called the Regional Industrial Index (RII) was designed based on a set of 10 indicators. The RII was tested using data from regions in Bulgaria at NUTS 3 level for three years and showed the leading role of the capital region. Similar studies conducted in other countries of the EU and the Balkan states can be used for a comparative perspective. The research contributes to the scientific and practical discourse in the decision-making process for choosing the most relevant regions for developing Industry 4.0. | 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/123456789/154212 | 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/2020/paper/view/541 | en_US |
dc.subject | regional potential | en_US |
dc.subject | regional development | en_US |
dc.subject | regional analysis | en_US |
dc.subject | regional comparison | en_US |
dc.subject | industry 4.0 | en_US |
dc.subject | industrial transformation | en_US |
dc.title | Determining the regional potential for development of industry 4.0 | 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 | Smart economic development | en_US |
dcterms.dateAccepted | 2020-05-06 | |
dcterms.issued | 2020-05-08 | |
dcterms.license | CC BY | en_US |
dcterms.references | 34 | en_US |
dc.description.version | Taip / Yes | en_US |
dc.contributor.institution | University of Forestry | en_US |
dcterms.sourcetitle | 11th International Scientific Conference “Business and Management 2020” | en_US |
dc.identifier.eisbn | 9786094762307 | 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.description.grantname | National Science Fund of Bulgaria | en_US |
dc.description.grantnumber | КП-06-M25/2 | en_US |
dc.identifier.doi | https://doi.org/10.3846/bm.2020.541 | en_US |