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dc.contributor.authorGaidelys, Vaidas
dc.contributor.authorDailydka, Stasys
dc.date.accessioned2023-09-18T16:52:43Z
dc.date.available2023-09-18T16:52:43Z
dc.date.issued2016
dc.identifier.issn1611-1699
dc.identifier.other(BIS)VGT02-000033141
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/117482
dc.description.abstractIn completing a competitors’ analysis in the railway sector by using the “Knowledge House” method, there is frequently a problem of data and information accessibility. The quality of primary information has direct influence on the quality of analytical conclusions. One more condition for the qualitative application of this method is the intellectual capital and experience of the analyst. One should note that in this regard we face another problem, that of selection of proper personnel, on the qualification of whom depends the accuracy of the evaluation and final results, on the basis of which strategic decisions are taken. The main aim of the paper is to assess the opportunities for applications of competitive intelligence methods in the railway sector. The study is using “Knowledge House”, DWS, DMS, DSS methodologies. Having analysed the scientific works the direct scientific sources of information, which are oriented to the application of the methods of competitive intelligence to the railway sector, have not been identified. The paper is absolutely original in that until now the competitive intelligence techniques have not been applied for the railway sector companies. Considering the fact that foreign companies, which compete for freighting at the international level, are regarded as the main competitors of the railway sector, the use of the methods of the competitive intelligence becomes more important while fighting for the part of the market. The competitive intelligence methods and their application to the railway sector companies are little studied. In accordance with application of the relevant methods in other sectors, it can be assumed that these innovative approaches could have a positive impact on the competitiveness of companies in the railway sector and their income.eng
dc.formatPDF
dc.format.extentp. 1022-1051
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyCentral & Eastern European Academic Source (CEEAS)
dc.relation.isreferencedbySocial Sciences Citation Index (Web of Science)
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyBusiness Source Complete
dc.source.urihttp://dx.doi.org/10.3846/16111699.2016.1251963
dc.subjectTD02 - Naujos judėjimo technologijos, intelektinės transporto sistemos / The new movement technologies, intelligent transport systems
dc.titleUse of “Knowledge House”, DWS, DMS and DSS methodology by completing a competitors' analysis in the railway sector
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references54
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionKauno technologijos universitetas
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyTransporto inžinerijos fakultetas / Faculty of Transport Engineering
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.researchfieldS 004 - Ekonomika / Economics
dc.subject.researchfieldT 003 - Transporto inžinerija / Transport engineering
dc.subject.ltspecializationsL106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies
dc.subject.en“Knowledge House”
dc.subject.enDWS
dc.subject.enDMS
dc.subject.enDSS
dc.subject.enTOWS methodologies
dc.subject.enrailway sector
dc.subject.encompetitor analysis
dcterms.sourcetitleJournal of business economics and management
dc.description.issueiss. 6
dc.description.volumeVol. 17
dc.publisher.nameTechnika ; Taylor & Francis
dc.publisher.cityVilnius ; London
dc.identifier.doi000393085500013
dc.identifier.doiKTU02-000057859
dc.identifier.doi2-s2.0-85006855045
dc.identifier.doi10.3846/16111699.2016.1251963
dc.identifier.elaba20286973


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