Evaluation of blockchain implementation solutions in the sustainable supply chain: A novel hybrid decision approach based on Z-numbers
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Under challenging environmental circumstances, hybrid MCDM-blockchain models support operational resilience, strategic alignment, and risk reduction.
“Under challenging environmental circumstances, these models support operational resilience, strategic alignment and risk reduction71–74.”
From A decision-support framework for evaluating AI-enabled ESG strategies in the context of sustainable manufacturing systems (2025) · cites this paper as [71]
Recent research supports the importance of combining cutting-edge decision-making frameworks with new technology to improve sustainability performance, consistent with the study's findings.
“Recent research supports the importance of combining cutting-edge decision-making frameworks with new technology to improve sustainability performance, which is consistent with the study’s findings.”
From A decision-support framework for evaluating AI-enabled ESG strategies in the context of sustainable manufacturing systems (2025) · cites this paper as [71]
Hybrid strategies combining MCDM under uncertainty with blockchain technology have proven beneficial in resolving implementation issues in sustainable supply chains and renewable energy.
“Particularly, hybrid strategies that combine MCDM under uncertainty with blockchain technology have proven to be very beneficial in resolving implementation issues in sustainable supply chains and renewable energy.”
From A decision-support framework for evaluating AI-enabled ESG strategies in the context of sustainable manufacturing systems (2025) · cites this paper as [71]
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- Authors
- Hosseini Dehshiri, S. J., & Amiri, M.
- Affiliations
- Allameh Tabataba'i University (IR)
- Corresponding author
- Amiri, Maghsoud
- ORCID
- Amiri, Maghsoud
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2024-01
- Volume
- 235
- Pages
- 121123
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W4385739841
- Semantic Scholar
- a0dc8d1c8c3f2e54340930553fe63106bc6a7172
- Cited by
- 81
- References
- 84
- Citations by year
- 2026: 16 · 2025: 26 · 2024: 34 · 2023: 5
- FWCI
- 14.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Expert Systems with Applications (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
- Social Sciences › Decision Sciences › Management Science and Operations Research › Multi-Criteria Decision Making
- Keywords
- blockchain implementation, supply chain sustainability, Z-numbers, SWARA, CoCoSo, hybrid decision-making, agricultural supply chain, Sustainable Development Goals, uncertainty and ambiguity, compromise solution, multi-criteria decision making, blockchain infrastructure
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