Lean Digital Transformation in Health Supply Chain: Identifying Barriers to Machine Learning and AI Applications and Strategies to Overcome

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dc.contributor.authorKesici, Büşra
dc.contributor.authorDuzdar, Irem
dc.date.accessioned2025-10-11T20:45:32Z
dc.date.available2025-10-11T20:45:32Z
dc.date.issued2025
dc.departmentDüzce Üniversitesien_US
dc.description.abstractOne of the important sectors that need to keep up with digital transformation quickly is healthcare. Given its direct impact on human lives, it is crucial to conduct studies to improve service quality in this sector. Considering the effects of the lean management approach in the healthcare sector on digital transformation in the supply chain is the first important research question for this study. Another research question is the contribution of artificial intelligence (AI) and machine learning (ML) approaches developed in recent years to digital transformation in the healthcare sector. The necessity of digital transformation tools, including artificial intelligence and machine learning, in healthcare services and the challenges faced during their implementation were identified as criteria and a weighting analysis was conducted with the help of multi-criteria decision-making (MCDM) analysis. Step-Wise Weight Assessment Ratio Analysis (SWARA) was used to determine the importance weights of the evaluation criteria. Strategies were defined with Enterprise Resource Planning (ERP) as a solution to the important weights of the challenges. The aim is to reduce costs while increasing supply chain efficiency and effectiveness by identifying practices and strategies that incorporate expert feedback from the industry. © 2025 Elsevier B.V., All rights reserved.en_US
dc.identifier.doi10.4018/979-8-3693-4433-0.ch010
dc.identifier.endpage269en_US
dc.identifier.isbn9798369344347
dc.identifier.isbn9798369344330
dc.identifier.scopus2-s2.0-105006952861en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage239en_US
dc.identifier.urihttps://doi.org/10.4018/979-8-3693-4433-0.ch010
dc.identifier.urihttps://hdl.handle.net/20.500.12684/21405
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIGI Globalen_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzKA_Scopus_20250911
dc.subjectContrastive Learningen_US
dc.subjectDecision Makingen_US
dc.subjectHuman Resource Managementen_US
dc.subjectLean Productionen_US
dc.subjectResource Allocationen_US
dc.subjectArtificial Intelligence Learningen_US
dc.subjectDigital Transformationen_US
dc.subjectDirect Impacten_US
dc.subjectHealthcare Sectorsen_US
dc.subjectHuman Livesen_US
dc.subjectLean Managementen_US
dc.subjectMachine Learning Approachesen_US
dc.subjectMachine-learningen_US
dc.subjectResearch Questionsen_US
dc.subjectService Qualityen_US
dc.subjectEnterprise Resource Planningen_US
dc.titleLean Digital Transformation in Health Supply Chain: Identifying Barriers to Machine Learning and AI Applications and Strategies to Overcomeen_US
dc.typeBook Parten_US

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