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dc.contributor.authorKorucuk, Selçuk
dc.contributor.authorAytekin, Ahmet
dc.contributor.authorEcer, Fatih
dc.contributor.authorKaramaşa, Çağlar
dc.contributor.authorZavadskas, Edmundas Kazimieras
dc.date.accessioned2023-09-18T16:27:33Z
dc.date.available2023-09-18T16:27:33Z
dc.date.issued2022
dc.identifier.other(SCOPUS_ID)85144687842
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/114158
dc.description.abstractIntegrating green approaches and digital marketing strategies for Information and Communication Technologies (ICTs), which reduce environmental risks to desired levels by eliminating emissions and pollution, is considered one of the most promising solutions for logistics companies. The study strives to bring a practical and applicable solution to the decision problem involving the selection of indicators for green approaches and digital marketing strategies for ICTs in the logistics sector. An integrated Fermatean Fuzzy Step-wise Weight Assessment Ratio Analysis (FF–SWARA) and Fermatean Fuzzy Complex Proportional Assessment (FF–COPRAS) methodology is applied to evaluate green approaches and digital marketing strategies. Concerning the findings, the foremost criterion is “data management,” whereas the best strategy is “programmatic advertising.” To the best of the authors’ knowledge, there is no other study that both offers a strategy selection for the logistics industry and considers environmental protection, sustainability, digital transformation, energy costs, and social and economic factors. The study is a part of ongoing research on productivity, sustainability, the environment, digitization, recycling and estimating levels of waste reduction, as well as business practices, competitiveness and ensuring employee satisfaction and resource efficiency. Also, it investigates the similarities and dissimilarities in the green approach practices of business in logistics and determines the extent to which these practices could be reflected. It is expected to ensure a roadmap for green approach practices and to support sustainable and ecological awareness efforts for ICTs in the logistics sector. Logistics companies can select an integrated digital strategy based on green informatics that suits them using the decision model employed in this study, which can handle uncertainties effectively. In this regard, the study’s findings, which focus on reaching customers and the most precise target audience in digital applications for businesses, are critical for developing strategy, plan and process.eng
dc.formatPDF
dc.format.extentp. 1-25
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbyScopus
dc.source.urihttps://www.mdpi.com/2075-1680/11/12/709
dc.titleAssessing green approaches and digital marketing strategies for twin transition via fermatean fuzzy SWARA-COPRAS
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references163
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionGiresun University
dc.contributor.institutionArtvin Çoruh University
dc.contributor.institutionAfyon Kocatepe University
dc.contributor.institutionAnadolu University
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.contributor.departmentTvariosios statybos institutas / Institute of Sustainable Construction
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.researchfieldT 004 - Aplinkos inžinerija / Environmental engineering
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.vgtuprioritizedfieldsIK0303 - Dirbtinio intelekto ir sprendimų priėmimo sistemos / Artificial intelligence and decision support systems
dc.subject.ltspecializationsL104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies
dc.subject.entwin transition
dc.subject.engreen transition
dc.subject.endigital transition
dc.subject.enfermatean fuzzy sets
dc.subject.ensustainability
dc.subject.eninformation and communication technology
dcterms.sourcetitleAxioms: Fuzzy Set Theory and Its Applications in Decision Making
dc.description.issueiss. 12
dc.description.volumevol. 11
dc.publisher.nameMDPI
dc.publisher.cityBasel
dc.identifier.doi2-s2.0-85144687842
dc.identifier.doi85144687842
dc.identifier.doi1
dc.identifier.doi143102078
dc.identifier.doi000900342400001
dc.identifier.doi10.3390/axioms11120709
dc.identifier.elaba151829336


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