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dc.contributor.authorKaklauskas, Artūras
dc.contributor.authorDzitac, Domnica
dc.contributor.authorŠliogerienė, Jūratė
dc.contributor.authorLepkova, Natalija
dc.contributor.authorVetlovienė, Ingrida
dc.date.accessioned2023-09-18T20:14:08Z
dc.date.available2023-09-18T20:14:08Z
dc.date.issued2019
dc.identifier.issn1841-9836
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/147946
dc.description.abstractThe best and worst places to live have been analysed in the world for many years and multiple criteria analysis has been used for that purpose. The quality of housing and its environment, pollution, green places, public spaces, physical movement and health, crime rates and individual safety, the wellbeing of youngsters, unemployment, job value, economic scarcity, governance, circadian rhythm, weekly rhythm and other factors are the focus of such analyses that aim to determine levels of positive emotions and happiness in built environment. Questionnaires are the most common tool for such analyses, where inhabitants are asked to rank their happiness experience as a whole in built environment. Many studies demonstrate that happy people are effective in multiple areas of their life including job efficiency, salary, health, human relations, etc. The innovative aspect of this research stems from the fact that biometric technologies (affective attitudes, emotional and physiological states) and the VINERS method developed by the authors are used to determine the best places to live and to serve neuro ads of homes for sale. To do this, rational segments of homebuyers are determined according to their demographic profiles (age, gender, education, marital status, families with children, main source of income), consumer psychographics and behaviour (happy, sad and angry along with valence and heart rate) and then select a rational video ad for such rational segment. The aim of our research is to develop the VINERS Method for the Multiple Criteria Analysis and Neuromarketing of Best Places to Live (VINERS method) by combining the Somatic Marker Hypothesis, biometrics, neuromarketing and COPRAS method. This article presents a case study to demonstrate the VINERS method put to practice.eng
dc.formatPDF
dc.format.extentp. 629-646
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyDOAJ
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.source.urihttp://univagora.ro/jour/index.php/ijccc/article/view/3674
dc.titleVINERS method for the multiple criteria analysis and neuromarketing of best places to live
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references55
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionNew York University Abu Dhabi
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.vgtuprioritizedfieldsSD0404 - Statinių skaitmeninis modeliavimas ir tvarus gyvavimo ciklas / BIM and Sustainable lifecycle of the structures
dc.subject.ltspecializationsL103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society
dc.subject.enCOPRAS and VINERS methods
dc.subject.enneuromarketing
dc.subject.enmultiple criteria analysis
dc.subject.enbest places to live
dcterms.sourcetitleInternational journal of computers communications & control
dc.description.issueiss. 5
dc.description.volumevol. 14
dc.publisher.nameAgora University
dc.publisher.cityOradea
dc.identifier.doi000489058800002
dc.identifier.elaba41841576


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