A Decision Framework for Supplier Selection in Digital Supply Chains of E-Commerce Platforms Using Interval-Valued Intuitionistic Fuzzy VIKOR Methodology

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dc.authorid0000-0001-9692-1450
dc.authorid0000-0002-4394-121X
dc.contributor.authorBaki, Rahmi
dc.contributor.authorEcer, Billur
dc.contributor.authorAktas, Ahmet
dc.date.accessioned2025-07-14T06:00:04Z
dc.date.available2025-07-14T06:00:04Z
dc.date.issued2025
dc.departmentÄ°ktisadi ve Ä°dari Bilimler FakĂĽltesi
dc.description.abstractDigital supply chains (DSCs) are value-driven and collaborative digital systems designed to generate business value for firms through various innovative technologies. Today, we are witnessing companies transitioning from traditional supply chain models to DSCs through digital technologies. The effective selection of digital suppliers during these digital transformation processes is a strategic research topic. Additionally, factors such as the proliferation of information and communication technologies, globalization, and the pandemic have contributed to the expansion of e-commerce platforms. In this rapid growth phase, identifying the right supplier is crucial for the success of e-commerce sites. This study aims to develop an innovative, integrated, and comprehensive decision-making methodology to assist e-commerce platforms in selecting appropriate suppliers for their DSCs. To achieve this, an extended fuzzy VlseKriterijuska Optimizacija I Komoromisno Resenje (VIKOR) method is tested, where criteria and alternative evaluations made by decision-makers (DMs) are characterized by interval-valued intuitionistic fuzzy numbers (IVIFNs). The proposed decision mechanism is tested on the DSS problem of an e-commerce platform specializing in household products. Findings of the application, which uses three experts’ opinion to evaluate four digital suppliers based on the seven criteria, are discussed to help e-commerce sites conduct the DSS process more effectively.
dc.identifier.doi10.3390/jtaer20010023
dc.identifier.issn07181876
dc.identifier.issue1
dc.identifier.scopus105001409786
dc.identifier.urihttps://dx.doi.org/10.3390/jtaer20010023
dc.identifier.urihttps://hdl.handle.net/20.500.12451/13279
dc.identifier.volume20
dc.identifier.wosWOS:001453050800001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.institutionauthorBaki, Rahmi
dc.institutionauthorid0000-0001-9692-1450
dc.language.isoen
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.relation.ispartofJournal of Theoretical and Applied Electronic Commerce Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectDigital Supply Chain
dc.subjecte-commerce
dc.subjectFuzzy Sets
dc.subjectSupplier Selection
dc.subjectVIKOR
dc.titleA Decision Framework for Supplier Selection in Digital Supply Chains of E-Commerce Platforms Using Interval-Valued Intuitionistic Fuzzy VIKOR Methodology
dc.typeArticle

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