The role of big data analytics in enabling green supply chain management: a literature review
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?
AI contributes to anticipating future needs and risks, predicting better solutions, making more efficient use of resources and increasing profits, as well as evaluating companies' performance and ensuring continuous improvement.
“It contributes to anticipating future needs and risks, predicting better solutions, making more efficient use of resources and increasing profits, as well as evaluating companies' performance and ensuring continuous improvement.87”
From Artificial Intelligence and Sustainable Decisions (2023) · cites this paper as [87]
The citation lists haven’t been fetched yet
References 55 · Cited by 70
- Authors
- Liu, J., Chen, M., & Liu, H.
- Affiliations
- University of Science and Technology of China (CN)
- Soochow University (CN)
- Corresponding author
- Chen, Meng
- Venue
- Journal of Data, Information and Management
- Published
- 2020-01-23
- Volume
- 2
- Issue
- 2
- Pages
- 75-83
- ISSN
- 2524-6356 (ISSN-L)
- 2524-6364
- OpenAlex
- W3000918309
- Cited by
- 70
- References
- 55
- Citations by year
- 2026: 2 · 2025: 10 · 2024: 14 · 2023: 10 · 2022: 20 · 2021: 10 · 2020: 4
- FWCI
- 11.73
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Data Information and Management (publishedVersion)
- Funders
- National Key R&D Program of China (2018YFB1601401)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Social Sciences › Business, Management and Accounting › Marketing › Environmental Sustainability in Business
- Keywords
- big data analytics, green supply chain management, green purchasing, environmental management, machine learning, data mining, optimization
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.
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