| dc.rights.license | Visos teisės saugomos / All rights reserved | en_US |
| dc.contributor.author | Komchatnykh, Olena | |
| dc.contributor.author | Klymenko, Iryna | |
| dc.contributor.author | Levishchenko, Olena | |
| dc.date.accessioned | 2026-02-09T13:46:47Z | |
| dc.date.available | 2026-02-09T13:46:47Z | |
| dc.date.issued | 2022 | |
| dc.identifier.isbn | 9783030947736 | en_US |
| dc.identifier.issn | 2523-3440 | en_US |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/159909 | |
| dc.description.abstract | The paper presents classification according to the level of innovative potential of Ukrainian transport and logistics enterprises specializing in freight transportation with the use of hierarchical cluster analysis on the basis of STATISTICA software. Hierarchical cluster analysis was performed on the basis of the structural components’ calculated values of the enterprise innovation potential (production and technological, financial, personnel, scientific and technical, organizational and managerial and marketing) by comparing the actual values of indicators that characterize them with the criteria of comparison established for them. The criteria of comparison were the normative values of indicators from the economic and financial literature, industry average indicators, the most optimal enterprises’ indicators in the field of transport logistics, and combined values based on these indicators. According to the results of hierarchical cluster analysis, it is determined that Ukrainian transport and logistics enterprises can be divided into four groups: with high, medium, low and critical level of innovation potential. Innovatively active transport and logistics enterprises are characterized by a high and medium level of innovation potential, innovatively inactive ones are characterized by a low and critical level of innovation potential. The common features and prospects of each enterprise’s development level are determined. The principle of using hierarchical cluster analysis is quite universal and can be used to classify the enterprises of other industries, provided that the composition of indicators and their criteria values are adjusted specifically to any of the activities. | en_US |
| dc.format.extent | 552-560 p. | en_US |
| dc.format.medium | Tekstas / Text | en_US |
| dc.language.iso | en | en_US |
| dc.relation.uri | https://etalpykla.vilniustech.lt/handle/123456789/159375 | en_US |
| dc.source.uri | https://link.springer.com/chapter/10.1007/978-3-030-94774-3_54 | en_US |
| dc.subject | Innovative potential | en_US |
| dc.subject | Transport and logistics enterprise | en_US |
| dc.subject | Classification | en_US |
| dc.subject | Hierarchical cluster analysis | en_US |
| dc.subject | STATISTICA | en_US |
| dc.title | Classification of Transport and Logistics Enterprises in Ukraine According to the Level of Innovation Potential | en_US |
| dc.type | Konferencijos publikacija / Conference paper | en_US |
| dcterms.accrualMethod | Rankinis pateikimas / Manual submission | en_US |
| dcterms.issued | 2022-01-24 | |
| dcterms.references | 18 | en_US |
| dc.description.version | Taip / Yes | en_US |
| dc.contributor.institution | National Transport University | en_US |
| dcterms.sourcetitle | Proceedings of the International Conference TRANSBALTICA XII: Transportation Science and Technology. September 16-17, 2021, Vilnius, Lithuania | en_US |
| dc.identifier.eisbn | 9783030947743 | en_US |
| dc.identifier.eissn | 2523-3459 | en_US |
| dc.publisher.name | Springer | en_US |
| dc.publisher.country | Switzerland | en_US |
| dc.publisher.city | Cham | en_US |
| dc.identifier.doi | https://doi.org/10.1007/978-3-030-94774-3_54 | en_US |