An integrated multi-criteria decision-making approach for overcoming barriers to green supply chain management and prioritizing alternative solutions

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dc.authorid0000-0002-4789-0317
dc.authorid0000-0001-6000-5143
dc.contributor.authorÖzaşkın, Alper
dc.contributor.authorGörener, Ali
dc.date.accessioned2024-10-12T19:47:14Z
dc.date.available2024-10-12T19:47:14Z
dc.date.issued2023
dc.departmentİstanbul Ticaret Üniversitesi, Sosyal Bilimler Enstitüsü, İşletme Ana Bilim Dalıen_US
dc.departmentİstanbul Ticaret Üniversitesi, İşletme Fakültesi, İşletme Bölümü
dc.description.abstractGreen practices are no longer a wish but a must in business. Despite that, businesses interested in implementing green supply-chain practices encounter several barriers. This study aims to analyze the barriers and solution proposals related to green supply chain practices in the manufacturing sector. Face-to-face interviews with eleven decision-makers in the manufacturing industry who know about green supply chain practices provided the data for the study. In the analysis phase, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method was used to analyze the barriers that are effective in implementing green supply chain practices. Combining it with fuzzy logic and the Evaluation based on Distance from Average Solution (EDAS) and Complex Proportional Assessment (COPRAS) methods were used to evaluate solution proposals. The Copeland method was used to combine the results and find the final rankings. The three most important barriers are identified as the lack of technological hardware and software infrastructure, fear of failure, and non-adoption of technological improvements. The solutions that can be used in the implementation phase are training employees, collaborating with other businesses, and improving government support and incentives.en_US
dc.identifier.citationÖzaşkın, A., & Görener, A. (2023). An Integrated Multi-Criteria Decision-Making Approach for Overcoming Barriers to Green Supply Chain Management and Prioritizing Alternative Solutions. Supply Chain Analytics, 3, 100027.
dc.identifier.doi10.1016/j.sca.2023.100027
dc.identifier.issn2949-8635
dc.identifier.scopus2-s2.0-85178227832en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1016/j.sca.2023.100027
dc.identifier.urihttps://hdl.handle.net/11467/8839
dc.identifier.volume3en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier B.V.en_US
dc.relation.ispartofSupply Chain Analyticsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Öğrencien_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectGreen Supply Chainen_US
dc.subjectBarriersen_US
dc.subjectCopelanden_US
dc.subjectFuzzy Setsen_US
dc.subjectDecision-Making Trial and Evaluation Laboratory (DEMATEL)en_US
dc.subjectEvaluation Based on Distance from Average Solution (EDAS)en_US
dc.subjectComplex Proportional Assessment (COPRAS)en_US
dc.titleAn integrated multi-criteria decision-making approach for overcoming barriers to green supply chain management and prioritizing alternative solutionsen_US
dc.typeArticleen_US

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