Ethical, informed, and explainable AI (EIX-AI) in the face of fluctuations in agricultural demand (notice n° 1731416)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01116cam a2200181 4500500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260322003353.0 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | fre |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | dc |
| 100 10 - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Harfouche, Antoine |
| Relator term | author |
| 245 00 - TITLE STATEMENT | |
| Title | Ethical, informed, and explainable AI (EIX-AI) in the face of fluctuations in agricultural demand |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Date of publication, distribution, etc. | 2026.<br/> |
| 500 ## - GENERAL NOTE | |
| General note | 23 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This research, conducted as part of the “GreenMinds AI” project, examines the integration of ethical, informed, and explainable artificial intelligence (EIX-AI) into agricultural supply chains, with a specific focus on the Lebanese context. Drawing on Design Science Research and the Kano model, the study demonstrates that EIX-AI enables the reconciliation of performance, ethics, and sustainability, while enhancing user adoption through explanatory tools such as SHAP and LIME. |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Saba, Peter |
| Relator term | author |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Tite, Thrycia |
| Relator term | author |
| 786 0# - DATA SOURCE ENTRY | |
| Note | Revue française de gestion | 326 | 1 | 2026-02-18 | p. 51-73 | 0338-4551 |
| 856 41 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://shs.cairn.info/journal-revue-francaise-de-gestion-2026-1-page-51?lang=en&redirect-ssocas=7080">https://shs.cairn.info/journal-revue-francaise-de-gestion-2026-1-page-51?lang=en&redirect-ssocas=7080</a> |
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