Evaluating the blockchain technology strategies for reducing renewable energy development risks using a novel integrated decision framework
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
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 [74]
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 [74]
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 [74]
The citation lists haven’t been fetched yet
References 53 · Cited by 51
- Authors
- Hosseini Dehshiri, S. J., Amiri, M., & Hosseini Bamakan, S. M.
- Affiliations
- Allameh Tabataba'i University (IR)
- Venue
- Energy
- Publisher
- Elsevier BV
- Published
- 2024-02
- Volume
- 289
- Pages
- 129987
- ISSN
- 0360-5442 (ISSN-L)
- OpenAlex
- W4389871110
- Cited by
- 51
- References
- 53
- Citations by year
- 2026: 8 · 2025: 23 · 2024: 20
- FWCI
- 11.97
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Energy (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Social Sciences › Decision Sciences › Management Science and Operations Research › Multi-Criteria Decision Making
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Energy and Environmental Sustainability
- Keywords
- blockchain, renewable energy development, strategy evaluation, SWOT analysis, distributed energy systems
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review