{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T06:45:54Z","timestamp":1784011554693,"version":"3.55.0"},"reference-count":33,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2025,2,7]],"date-time":"2025-02-07T00:00:00Z","timestamp":1738886400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JTAER"],"abstract":"<jats:p>Digital 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\u2019 opinion to evaluate four digital suppliers based on the seven criteria, are discussed to help e-commerce sites conduct the DSS process more effectively.<\/jats:p>","DOI":"10.3390\/jtaer20010023","type":"journal-article","created":{"date-parts":[[2025,2,7]],"date-time":"2025-02-07T04:00:28Z","timestamp":1738900828000},"page":"23","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["A Decision Framework for Supplier Selection in Digital Supply Chains of E-Commerce Platforms Using Interval-Valued Intuitionistic Fuzzy VIKOR Methodology"],"prefix":"10.3390","volume":"20","author":[{"given":"Rahmi","family":"Baki","sequence":"first","affiliation":[{"name":"Management Information Systems Department, Aksaray University, Aksaray 68100, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9692-1450","authenticated-orcid":false,"given":"Billur","family":"Ecer","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, Ankara Yildirim Beyazit University, Ankara 06010, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4394-121X","authenticated-orcid":false,"given":"Ahmet","family":"Aktas","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, University of Turkish Aeronautical Association, Ankara 06790, Turkey"},{"name":"School of Science and Technology, Cape Breton University, Sydney, NS B1M 1A2, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,2,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"634","DOI":"10.1016\/j.asoc.2018.04.040","article-title":"An extension of ARAS methodology under interval valued intuitionistic fuzzy environment for digital supply chain","volume":"69","year":"2018","journal-title":"Appl. Soft Comput."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.susoc.2021.07.008","article-title":"An integrated and comprehensive fuzzy multicriteria model for supplier selection in digital supply chains","volume":"2","author":"Tavana","year":"2021","journal-title":"Sustain. Oper. Comput."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"6983","DOI":"10.1007\/s40747-024-01500-5","article-title":"A novel BWM-entropy-COPRAS group decision framework with spherical fuzzy information for digital supply chain partner selection","volume":"10","author":"Gao","year":"2024","journal-title":"Complex Intell. Syst."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1108\/BIJ-10-2020-0556","article-title":"Supplier selection and evaluation in e-commerce enterprises: A data envelopment analysis approach","volume":"29","author":"Pratap","year":"2022","journal-title":"Benchmarking Int. J."},{"key":"ref_5","first-page":"11","article-title":"Digitalization and servitization: Opportunities and challenges for Italian SMES","volume":"36","author":"Paiola","year":"2018","journal-title":"Sinergie Ital. J. Manag."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Naseem, M.H., Yang, J., and Xiang, Z. (2021). Selection of logistics service provider for the E-commerce companies in Pakistan based on integrated GRA-TOPSIS approach. Axioms, 10.","DOI":"10.3390\/axioms10030208"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"445","DOI":"10.1016\/S0377-2217(03)00020-1","article-title":"Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS","volume":"156","author":"Opricovic","year":"2004","journal-title":"Eur. J. Oper. Res."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/0165-0114(89)90215-7","article-title":"More on intuitionistic fuzzy sets","volume":"33","author":"Atanassov","year":"1989","journal-title":"Fuzzy Sets Syst."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"102175","DOI":"10.1016\/j.ijinfomgt.2020.102175","article-title":"Information management research and practice in the post-COVID-19 world","volume":"55","author":"Barnes","year":"2020","journal-title":"Int. J. Inf. Manag."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"101165","DOI":"10.1016\/j.jwb.2020.101165","article-title":"The development of international e-commerce in retail SMEs: An effectuation perspective","volume":"56","author":"Tolstoy","year":"2021","journal-title":"J. World Bus."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Nuengphasuk, M., and Samanchuen, T. (2019, January 11\u201313). Selection of logistics service provider for e-commerce using AHP and TOPSIS: A case study of SMEs in Thailand. Proceedings of the 2019 4th Technology Innovation Management and Engineering Science International Conference (TIMES-iCON), Bangkok, Thailand.","DOI":"10.1109\/TIMES-iCON47539.2019.9024406"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1080\/13675560500240445","article-title":"A fuzzy multi-attribute framework for supplier selection in an e-procurement environment","volume":"8","author":"Bottani","year":"2005","journal-title":"Int. J. Logist. Res. Appl."},{"key":"ref_13","first-page":"172","article-title":"Fuzzy AHP-based supplier selection in e-procurement","volume":"3","author":"Benyoucef","year":"2007","journal-title":"Int. J. Serv. Oper. Manag."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1039","DOI":"10.1007\/s00170-010-2800-6","article-title":"A multi-objective decision-making process of supplier selection and order allocation for multi-period scheduling in an electronic market","volume":"52","author":"Fazlollahtabar","year":"2011","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"33","DOI":"10.9790\/1684-15008030333-38","article-title":"Courier partner selection for E-commerce business Using TOPSIS Method","volume":"3","author":"Rajiv","year":"2018","journal-title":"IOSR J. Mech. Civ. Eng."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"127597","DOI":"10.1016\/j.jclepro.2021.127597","article-title":"Structural equation modeling of E-supplier selection criteria in mechanical manufacturing industries","volume":"311","author":"Garg","year":"2021","journal-title":"J. Clean. Prod."},{"key":"ref_17","unstructured":"Thresia, Y.T., and Cakravastia, A. (2021, January 2\u20135). Supplier Selection Criteria for E-Commerce Based Fashion SME\u2019s\u2019. Proceedings of the International Conference on Industrial Engineering and Operations Management, Rome, Italy."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1080\/13675567.2020.1791810","article-title":"A hybrid decision model for supplier selection in Online Fashion Retail (OFR)","volume":"25","author":"Kaushik","year":"2022","journal-title":"Int. J. Logist. Res. Appl."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"P\u0131nar, A. (2023). An integrated sentiment analysis and q-rung orthopair fuzzy MCDM model for supplier selection in E-commerce: A comprehensive approach. Electron. Commer. Res., 1\u201332.","DOI":"10.1007\/s10660-023-09768-4"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Cao, Y. (2024, January 23\u201325). Factors Affecting Supplier Selection on Cross-border Electronic Commerce\u2014An Empirical Analysis Based on SEM Model. Proceedings of the 4th International Conference on Informatization Economic Development and Management, IEDM 2024, Kuala Lumpur, Malaysia.","DOI":"10.4108\/eai.23-2-2024.2345876"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Oswald, G., and Kleinemeier, M. (2017). Shaping the Digital Enterprise, Springer International Publishing.","DOI":"10.1007\/978-3-319-40967-2"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1080\/09537287.2019.1631461","article-title":"Supply chain digitalization: Past, present and future","volume":"31","author":"Seyedghorban","year":"2020","journal-title":"Prod. Plan. Control"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"410","DOI":"10.1108\/IJPPM-09-2020-0481","article-title":"Analysis of enablers for the digitalization of supply chain using an interpretive structural modelling approach","volume":"72","author":"Agrawal","year":"2023","journal-title":"Int. J. Product. Perform. Manag."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"108938","DOI":"10.1016\/j.ijpe.2023.108938","article-title":"Intelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability","volume":"263","author":"Ivanov","year":"2023","journal-title":"Int. J. Prod. Econ."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Kegenbekov, Z., and Jackson, I. (2021). Adaptive supply chain: Demand\u2013supply synchronization using deep reinforcement learning. Algorithms, 14.","DOI":"10.3390\/a14080240"},{"key":"ref_26","first-page":"1486","article-title":"A novel approach integrating AHP and COPRAS under Pythagorean fuzzy sets for digital supply chain partner selection","volume":"68","year":"2019","journal-title":"IEEE Trans. Eng. Manag."},{"key":"ref_27","first-page":"61","article-title":"Digital supplier selection for a garment business using interval type-2 fuzzy TOPSIS","volume":"30","author":"Yildiz","year":"2020","journal-title":"Text. Appar."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"106231","DOI":"10.1016\/j.cie.2019.106231","article-title":"Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to Compromise solution (MARCOS)","volume":"140","author":"Chatterjee","year":"2020","journal-title":"Comput. Ind. Eng."},{"key":"ref_29","first-page":"100038","article-title":"Supply chain digitalization: An integrated MCDM approach for inter-organizational information systems selection in an electronic supply chain","volume":"1","author":"Deepu","year":"2021","journal-title":"Int. J. Inf. Manag. Data Insights"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Krsti\u0107, M., Agnusdei, G.P., Miglietta, P.P., Tadi\u0107, S., and Roso, V. (2022). Applicability of industry 4.0 technologies in the reverse logistics: A circular economy approach based on comprehensive distance based ranking (COBRA) method. Sustainability, 14.","DOI":"10.3390\/su14095632"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1007\/s10700-011-9102-9","article-title":"Extension of the VIKOR method for group decision making with interval-valued intuitionistic fuzzy information","volume":"10","author":"Park","year":"2011","journal-title":"Fuzzy Optim. Decis. Mak."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/0165-0114(94)90229-1","article-title":"New operations defined over the intuitionistic fuzzy sets","volume":"61","author":"Atanassov","year":"1994","journal-title":"Fuzzy Sets Syst."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"5091","DOI":"10.1007\/s00500-018-3317-4","article-title":"Cloud computing technology selection based on interval-valued intuitionistic fuzzy MCDM methods","volume":"22","year":"2018","journal-title":"Soft Comput."}],"container-title":["Journal of Theoretical and Applied Electronic Commerce Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/0718-1876\/20\/1\/23\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T16:28:30Z","timestamp":1760027310000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/0718-1876\/20\/1\/23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,7]]},"references-count":33,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,3]]}},"alternative-id":["jtaer20010023"],"URL":"https:\/\/doi.org\/10.3390\/jtaer20010023","relation":{},"ISSN":["0718-1876"],"issn-type":[{"value":"0718-1876","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2,7]]}}}