Expert decision analysis reveals legal and economic factors as primary drivers of blockchain adoption in sustainable supply chains, suggesting upstream policy interventions maximize impact.
Integrating blockchain technology into the marketing, communication, and logistics processes of sustainable supply chains faces multidimensional barriers. This study uses a mixed-methods approach to identify, prioritize, and analyze the expert-perceived influence relationships among these barriers. Semi-structured interviews with 14 managers and experts were thematically analyzed in MAXQDA to derive the barrier criteria, weighted and structurally analyzed using the Best-Worst Method (BWM) and Fuzzy DEMATEL with judgments from 11 domain experts, re-derived from the raw questionnaire data. BWM identifies Legal and Regulatory Barriers (C1, w = 0.2225) and Economic Barriers (C5, w = 0.2110) as most critical, jointly accounting for 43.4% of the total weight; nine of eleven experts’ solutions met the CR < 0.10 threshold; the remaining two (E4 and E9) were retained rather than adjusted. Fuzzy DEMATEL classifies Economic, Legal, and Trust barriers as cause-group factors and Technological, Institutional, and Knowledge barriers as effect-group factors, with Economic Barriers showing the strongest net driving influence (D − R = +0.705). The two highest-priority barriers are also the two most upstream, and sensitivity analysis confirms the top and bottom ranks are stable. Interventions targeting cause-group barriers may generate broader system-level effects across effect-group barriers, an expectation grounded in expert-perceived influence rather than demonstrated causal evidence.
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KARAHİSAR et al. (2026) studied this question.
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