Artificial Intelligence and Environmental, Social and Governance: A Bibliometric Analysis Review
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Barriers to implementing an AI-based system for fraud detection include ethical and legal issues in addition to technical ones.
“The barriers to implementing an AI-based system for fraud detection also include ethical and legal issues in addition to the technical ones.”
From AI-driven financial fraud detection in Pakistan’s banking sector: bridging strategic intent and operational implementation (2026) · cites this paper as Alhasnawi et al. 2024
Recent bibliometric analyses have found increasing overlap between AI, corporate social responsibility (ESG), and governance accountability.
“A number of recent bibliometric analysis have found that there is increasing overlap between AI, corporate social responsibility (ESG) and governance accountability (Alhasnawi et al. 2024; Alshdaifat et al. 2024).”
From AI-driven financial fraud detection in Pakistan’s banking sector: bridging strategic intent and operational implementation (2026) · cites this paper as Alhasnawi et al. 2024
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- Authors
- Alhasnawi, M. Y., Alshdaifat, S. M., Aziz, N. H. A., & Almasoodi, M. F.
- Affiliations
- Universiti Putra Malaysia (MY)
- Al al-Bayt University (JO)
- Putra Business School (MY)
- University of Kerbala (IQ)
- Corresponding author
- Alhasnawi, Mushtaq Yousif
- ORCID
- Venue
- Lecture Notes in Networks and Systems
- Publisher
- Springer Nature Switzerland
- Published
- 2024
- Pages
- 123-143
- ISSN
- 2367-3370 (ISSN-L)
- 2367-3389
- OpenAlex
- W4400137666
- Cited by
- 35
- References
- 48
- Citations by year
- 2026: 12 · 2025: 18 · 2024: 5
- FWCI
- 47.81
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- Lecture notes in networks and systems (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Sustainability and Innovation in Business
- Social Sciences › Business, Management and Accounting › Strategy and Management › Corporate Social Responsibility Reporting
- Keywords
- artificial intelligence, environmental, social and governance, ESG, sustainability, publication trends, citation patterns, research collaboration networks
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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.
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