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dc.rights.licenseVisos teisės saugomos / All rights reserveden_US
dc.contributor.authorKomchatnykh, Olena
dc.contributor.authorKlymenko, Iryna
dc.contributor.authorLevishchenko, Olena
dc.date.accessioned2026-02-09T13:46:47Z
dc.date.available2026-02-09T13:46:47Z
dc.date.issued2022
dc.identifier.isbn9783030947736en_US
dc.identifier.issn2523-3440en_US
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/159909
dc.description.abstractThe 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.extent552-560 p.en_US
dc.format.mediumTekstas / Texten_US
dc.language.isoenen_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/159375en_US
dc.source.urihttps://link.springer.com/chapter/10.1007/978-3-030-94774-3_54en_US
dc.subjectInnovative potentialen_US
dc.subjectTransport and logistics enterpriseen_US
dc.subjectClassificationen_US
dc.subjectHierarchical cluster analysisen_US
dc.subjectSTATISTICAen_US
dc.titleClassification of Transport and Logistics Enterprises in Ukraine According to the Level of Innovation Potentialen_US
dc.typeKonferencijos publikacija / Conference paperen_US
dcterms.accrualMethodRankinis pateikimas / Manual submissionen_US
dcterms.issued2022-01-24
dcterms.references18en_US
dc.description.versionTaip / Yesen_US
dc.contributor.institutionNational Transport Universityen_US
dcterms.sourcetitleProceedings of the International Conference TRANSBALTICA XII: Transportation Science and Technology. September 16-17, 2021, Vilnius, Lithuaniaen_US
dc.identifier.eisbn9783030947743en_US
dc.identifier.eissn2523-3459en_US
dc.publisher.nameSpringeren_US
dc.publisher.countrySwitzerlanden_US
dc.publisher.cityChamen_US
dc.identifier.doihttps://doi.org/10.1007/978-3-030-94774-3_54en_US


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