A sustainability-oriented decision framework for procurement risk mitigation in pharmaceutical cold chains
Journal of Enterprise Information Management, ss.1-36, 2026 (SSCI, Scopus)
- Yayın Türü: Makale / Tam Makale
- Basım Tarihi: 2026
- Doi Numarası: 10.1108/jeim-04-2026-0673
- Dergi Adı: Journal of Enterprise Information Management
- Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus, ABI/INFORM, Aerospace Database, Educational research abstracts (ERA), INSPEC, Library, Information Science & Technology Abstracts (LISTA), Information Science & Technology Abstracts (LISTA), Social Science Premium Collection (ProQuest), Business Source Ultimate (EBSCO), Library & Information Science Collection (ProQuest), Technology Collection (ProQuest)
- Sayfa Sayıları: ss.1-36
- Anahtar Kelimeler: MARCOS, Multi-criteria decision-making, Pharmaceutical cold chain, Pythagorean fuzzy sets, Supply risk mitigation, SWARA
- İstanbul Ticaret Üniversitesi Adresli: Evet
Özet
Purpose – This study develops an information-driven decision framework for selecting procurement risk mitigation strategies in pharmaceutical cold chains for temperature-sensitive pharmaceuticals and vaccines. The study focuses on how information visibility, traceability, compliance control and data integrity can support more effective procurement decisions in a pharmaceutical cold-chain setting. Design/methodology/approach – A comprehensive evaluation structure was established based on five main-criteria and fifteen sub-criteria. Expert judgments were analyzed using Pythagorean Fuzzy Step-wise Weight Assessment Ratio Analysis (PF-SWARA) to determine criteria weights, while alternative strategies were ranked through Pythagorean Fuzzy Measurement of Alternatives and Ranking according to Compromise Solution (PF-MARCOS). Findings – The findings show that safety is the most important main criterion, while patient safety, product integrity and cold-chain continuity are the most influential sub-criteria. Among the alternatives, digital traceability and real-time alerts ranked first, followed by stricter cold chain auditing and compliance assurance. Practical implications – The proposed framework can support managers in pharmaceutical chains by helping them prioritize information-enabled procurement strategies that improve monitoring, compliance, responsiveness and decision quality across enterprise and supply chain processes. Originality/value – The originality of the study lies primarily in its integrative and context-specific contribution. The study applies and combines established PF-SWARA and PF-MARCOS methods within an underexplored decision problem, namely the selection of procurement-oriented risk mitigation strategies in pharmaceutical cold chains. By linking the pharmaceutical cold-chain context, procurement-risk perspective and enterprise information-management logic associated with traceability, real-time alerts, compliance control and data integrity, the study offers a focused decision-support contribution for a practically important but insufficiently examined setting.