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dc.contributor.authorPabedinskaitė, Arnoldina Ona
dc.contributor.authorDavidavičienė, Vida
dc.contributor.authorMilišauskas, Paulius
dc.date.accessioned2023-09-18T20:09:39Z
dc.date.available2023-09-18T20:09:39Z
dc.date.issued2014
dc.identifier.issn2029-4441
dc.identifier.other(BIS)VGT02-000029236
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/147370
dc.description.abstractThe development of information technology and growing amount of information led businesses and scientists rethink the models and strategies of communication as well as information management and usage possibilities. Businesses compete in the fulfilled markets and need to increase efficiency of business performance as well as market share, atract more customers and minimize operating costs by implementing new digital and business technologies. Modern technologies providing digital marketing tools, which could help automate marketing processes, extract data for analysis etc. One of new trend is use of big data in marketing. This paper begins with an analysis of big data analytics theories and its connection with marketing. The emphasis is being brought on e-commerce as a priority mean of business. A rich link between e-commerce and online marketing allows big data an alytics to bring additional value to the process and its participants. Based on literature analysis a theoretical online marketing model is being presented. The aim of the article is to analyse and present use of big data analytics for marketing purposes in electronic commerce. Following methods are employed: the comparative analysis of the scientific literature, the systems analysis, data analysis.eng
dc.formatPDF
dc.format.extentp. 645-654
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyConference Proceedings Citation Index - Social Science & Humanities (Web of Science)
dc.source.urihttp://dx.doi.org/10.3846/bm.2014.079
dc.subjectVE02 - Integruotos komunikacijos strategijos ir koncepcijos / Integrated communication strategies and concepts
dc.titleBig data driven e-commerce marketing
dc.typeStraipsnis konferencijos darbų leidinyje Web of Science DB / Paper in conference publication in Web of Science DB
dcterms.references53
dc.type.pubtypeP1a - Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyVerslo vadybos fakultetas / Faculty of Business Management
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.researchfieldS 004 - Ekonomika / Economics
dc.subject.ltspecializationsL103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society
dc.subject.enBig data
dc.subject.enE-commerce
dc.subject.enMarketing
dcterms.sourcetitleThe 8th international scientific conference "Business and Management 2014", May 15-16, 2014, Vilnius, Lithuania : selected papers
dc.publisher.nameTechnika
dc.publisher.cityVilnius
dc.identifier.doi000353708700076
dc.identifier.doi10.3846/bm.2014.079
dc.identifier.elaba4097530


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