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    A Decision-Making Framework for Struggling with Digital Supply Chain Barriers through Industry 5.0 Technologies
    (Research Expansion Alliance (REA), 2025) Kesici, Büşra; Coban, Abdulkadir
    Purpose: The objective of this research is to determine and rank methods for overcoming implementation hurdles for Digital Supply Chains (DSCs) in the context of the Industry 5.0 (I5.0) framework. Methodology: First, twenty-three DSC barriers hindering the digitalization of the manufacturing supply chain and nine Industry 5.0 technologies to overcome them were defined with an extensive literature review and expert opinions. The importance weights of the identified criteria were calculated using the Full Consistency Method (FUCOM). Multi-Attribute Ideal-Real Comparative Analysis (MAIRCA), Multi-Attributive Border Approximation Area Comparison (MABAC) and Additive Ratio Assessment (ARAS) method were used to rank the Industry 5.0 (I5.0) technologies. The results were compared with each other using different ranking methods. Sensitivity analysis was performed for all ranking methods to monitor the consistency of the results. Findings: The results showed that “high initial investment”, “issues with data” and “complexity in integrating systems” are the most important DSC barriers to overcome first. To overcome these barriers, “virtual training” and “blockchain” technologies seem to be the most important I5.0 innovations that should be addressed primarily. Originality/Value: By identifying the critical barriers to DSC and prioritizing the I5.0 technologies needed to overcome them, this study provides a solid framework for future research and practical applications in the Digital Transformation (DT) journey of companies. © 2025 Elsevier B.V., All rights reserved.