| dc.contributor.author | Liachovičius, Edvardas | |
| dc.contributor.author | Skrickij, Viktor | |
| dc.contributor.author | Podviezko, Askoldas | |
| dc.date.accessioned | 2023-09-18T20:31:33Z | |
| dc.date.available | 2023-09-18T20:31:33Z | |
| dc.date.issued | 2020 | |
| dc.identifier.issn | 2071-1050 | |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/150693 | |
| dc.description.abstract | Business owners are trying to enhance company value by developing growth strategies. Besides, they need to know what supports and drives the attractiveness to potential investors. Previously to determine company value, only financial drivers were used. These are essential drivers; however, even they do not reflect the overall situation. This paper proposes a novel approach for the solution of the problem of business valuation by taking into account both financial and non-financial drivers and by using several MCDM (multiple criteria decision making) methods simultaneously both for establishing weights and for the evaluation itself. World-leading road freight transport companies were selected for a case study. MCDM methods were used for determining the weights of the drivers and comparing the listed companies. Key drivers were identified, and the ranking of companies is provided. | eng |
| dc.format | PDF | |
| dc.format.extent | p. 1-17 | |
| dc.format.medium | tekstas / txt | |
| dc.language.iso | eng | |
| dc.relation.isreferencedby | RePec | |
| dc.relation.isreferencedby | Genamics Journal Seek | |
| dc.relation.isreferencedby | CABI - CAB Abstracts | |
| dc.relation.isreferencedby | DOAJ | |
| dc.relation.isreferencedby | INSPEC | |
| dc.relation.isreferencedby | Scopus | |
| dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
| dc.relation.isreferencedby | Social Sciences Citation Index (Web of Science) | |
| dc.rights | Laisvai prieinamas internete | |
| dc.source.uri | https://www.mdpi.com/2071-1050/12/18/7259 | |
| dc.source.uri | https://talpykla.elaba.lt/elaba-fedora/objects/elaba:68763153/datastreams/MAIN/content | |
| dc.title | MCDM evaluation of asset-based road freight transport companies using key drivers that influence the enterprise value | |
| dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
| dcterms.accessRights | This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/) | |
| dcterms.license | Creative Commons – Attribution – 4.0 International | |
| dcterms.references | 31 | |
| dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
| dc.contributor.institution | Girteka Logistics | |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
| dc.contributor.institution | Mykolo Romerio universitetas | |
| dc.contributor.faculty | Transporto inžinerijos fakultetas / Faculty of Transport Engineering | |
| dc.subject.researchfield | T 003 - Transporto inžinerija / Transport engineering | |
| dc.subject.researchfield | S 004 - Ekonomika / Economics | |
| dc.subject.researchfield | S 003 - Vadyba / Management | |
| dc.subject.vgtuprioritizedfields | TD0303 - Žalioji logistika, tarptautiniai transporto koridoriai / Green logistics and international transport corridors | |
| dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
| dc.subject.en | value drivers | |
| dc.subject.en | financial performance | |
| dc.subject.en | MCDM | |
| dc.subject.en | business valuation | |
| dc.subject.en | road freight transport | |
| dcterms.sourcetitle | Sustainability: Decision support systems and multiple criteria decision making for sustainable development | |
| dc.description.issue | iss. 18 | |
| dc.description.volume | vol. 12 | |
| dc.publisher.name | MDPI | |
| dc.publisher.city | Basel | |
| dc.identifier.doi | 2-s2.0-85091568385 | |
| dc.identifier.doi | 1 | |
| dc.identifier.doi | 000584256500001 | |
| dc.identifier.doi | 10.3390/su12187259 | |
| dc.identifier.elaba | 68763153 | |