Strategic analysis of e-trade platforms in automotive spare part sector: A T-Spherical fuzzy perspective

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dc.authorid0000-0003-3850-6755
dc.authorid0000-0002-1536-7097
dc.authorid0000-0001-8522-1942
dc.contributor.authorGörçün, Ömer Faruk
dc.contributor.authorChatterjee, Prasenjit
dc.contributor.authorAytekin, Ahmet
dc.contributor.authorKorucuk, Selçuk
dc.contributor.authorPamucar, Dragan
dc.date.accessioned2025-06-20T07:36:03Z
dc.date.available2025-06-20T07:36:03Z
dc.date.issued2025
dc.departmentAÇÜ, Hopa İktisadi ve İdari Bilimler Fakültesi, İşletme Bölümü
dc.description.abstractE-trade platforms are software applications that enable businesses to conduct online sales and manage their digital storefronts. These platforms provide a range of tools and features to facilitate the creation, operation, and management of an online business. This study comprehensively evaluates e-trade platforms within the automotive spare parts industry, examining various critical aspects to identify the optimal platform. The evaluation includes an in-depth analysis of the current state of the platforms, exploration of potential strategies and approaches for improvement, and identification and analysis of challenges and barriers. To address these issues, the study employs problem-solving within the framework of expert evaluations based on criteria defined by an extensive literature review. T-Spherical fuzzy (T-SF) subjective weighting approach and T-SF-weighted aggregated sum product assessment (WASPAS) method are used for this purpose. The analysis reveals that “security” is the most crucial criterion, with Amazon emerging as the most prominent e-trade platform. The findings indicate that prioritizing security, discounts, and delivery time will enable e-commerce platforms to gain a competitive edge. The study evaluates international e-commerce platforms, identifying weaknesses in critical business areas key competitive advantage factors, and offering forward-thinking recommendations. This research has significant implications for the rapid and effective development of logistical partnerships with e-trade platforms across various industries. Additionally, it serves as a foundational basis and template for future research in the e-commerce sector, particularly within the automotive spare parts industry.
dc.identifier.doi10.1016/j.jii.2025.100782
dc.identifier.issn2452414X
dc.identifier.scopus2-s2.0-85217275758
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://hdl.handle.net/11494/5555
dc.identifier.volume44
dc.identifier.wosWOS:001426322100001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.institutionauthorAytekin, Ahmet
dc.institutionauthorid0000-0002-1536-7097
dc.language.isoen
dc.publisherElsevier B.V.
dc.relation.ispartofJournal of Industrial Information Integration
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectE-trade
dc.subjectE-trade platforms
dc.subjectSpare part supply
dc.subjectT-SF subjective weighting approach
dc.subjectT-SF-WASPAS
dc.titleStrategic analysis of e-trade platforms in automotive spare part sector: A T-Spherical fuzzy perspective
dc.typeArticle

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