dc.rights.license | Kūrybinių bendrijų licencija / Creative Commons licence | en_US |
dc.contributor.author | Glazunova, Jevgēnija | |
dc.contributor.author | Ščeulovs, Deniss | |
dc.date.accessioned | 2024-09-25T08:30:42Z | |
dc.date.available | 2024-09-25T08:30:42Z | |
dc.date.issued | 2024 | |
dc.date.submitted | 2024-02-28 | |
dc.identifier.citation | Glazunova, J., & Ščeulovs, D. (2024). Contemporary marketing personalization through clustering approach. In New Trends in Contemporary Economics, Business and Management. Selected Proceedings of the 14th International Scientific Conference “Business and Management 2024”, pp. 581–588. https://doi.org/10.3846/bm.2024.1221 | en_US |
dc.identifier.issn | 2029-4441 | en_US |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/154928 | |
dc.description.abstract | Marketing personalization is attracting a growing interest from researchers and practitioners alike because customers demand tailored and resonating products, services, and communications. Marketing Personalization is utilizing knowledge about customers to build long-lasting relationships by matching their needs and preferences with relevant content and offers. Modern technology advancements enable customer data collection, analysis, and modelling in a way that allows for treating every customer as a segment of one, increasing their satisfaction and loyalty. This study aims to provide a comprehensive overview of Marketing Personalization definitions, clusters, and keywords. Based on the literature review and bibliometric analysis, an extensive analysis of the critical clusters that indicate promising areas for future research is offered. | en_US |
dc.format.extent | 8 p. | en_US |
dc.format.medium | Tekstas / Text | en_US |
dc.language.iso | en | en_US |
dc.relation.uri | https://etalpykla.vilniustech.lt/handle/123456789/154651 | en_US |
dc.relation.uri | https://etalpykla.vilniustech.lt/handle/123456789/154652 | en_US |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.source.uri | https://vilniustech.lt/bm | en_US |
dc.subject | marketing personalization | en_US |
dc.subject | one-to-one marketing | en_US |
dc.subject | relationship marketing | en_US |
dc.subject | personalized marketing | en_US |
dc.subject | clustering approach | en_US |
dc.title | Contemporary marketing personalization through clustering approach | en_US |
dc.type | Konferencijos publikacija / Conference paper | en_US |
dcterms.accessRights | Laisvai prieinamas / Openly available | en_US |
dcterms.accrualMethod | Rankinis pateikimas / Manual submission | en_US |
dcterms.alternative | V. New perspectives on management and resilience of business organisations | en_US |
dcterms.dateAccepted | 2024-04-04 | |
dcterms.issued | 2024-09-25 | |
dcterms.license | CC BY | en_US |
dcterms.references | 36 | en_US |
dc.description.version | Taip / Yes | en_US |
dc.type.pubtype | P1d - Straipsnis recenzuotame konferencijos darbų leidinyje / Paper published in peer-reviewed conference publication | en_US |
dc.contributor.orcid | https://orcid.org/0009-0004-0033-055X, Glazunova Jevgēnija | |
dc.contributor.orcid | https://orcid.org/0000-0002-1570-0072, Ščeulovs Deniss | |
dc.contributor.institution | Riga Technical University | en_US |
dcterms.sourcetitle | 14th International Scientific Conference “Business and Management 2024” | en_US |
dc.description.volume | I | en_US |
dc.identifier.eisbn | 9786094763632 | en_US |
dc.identifier.eissn | 2029-929X | en_US |
dc.publisher.name | Vilnius Gediminas Technical University | en_US |
dc.publisher.name | Vilniaus Gedimino technikos universitetas | en_US |
dc.publisher.country | Lithuania | en_US |
dc.publisher.country | Lietuva | en_US |
dc.publisher.city | Vilnius | en_US |
dc.description.fundingorganization | Riga Technical University | en_US |
dc.description.grantname | ID 4828 | en_US |
dc.description.grantnumber | ZM- 2024/27 | en_US |
dc.date.firstonline | 2024-09-25 | |
dc.identifier.doi | https://doi.org/10.3846/bm.2024.1221 | en_US |