Revue française de gestion 2026/1 N° 326
Journal article

Ethical, informed, and explainable AI (EIX-AI) in the face of fluctuations in agricultural demand

Pages 51 to 73

Cite this article

  • HARFOUCHE, Antoine,
  • SABA, Peter
  • and TITE, Thrycia,
2026. Ethical, informed, and explainable AI (EIX-AI) in the face of fluctuations in agricultural demand. Revue française de gestion, 2026/1 N° 326, p.51-73. DOI : 10.1684/rfg.2026.123. URL : https://shs.cairn.info/journal-revue-francaise-de-gestion-2026-1-page-51?lang=en.
  • Harfouche, Antoine.,
  • et al.
« Ethical, informed, and explainable AI (EIX-AI) in the face of fluctuations in agricultural demand ». Revue française de gestion, 2026/1 N° 326, 2026. p.51-73. CAIRN.INFO, shs.cairn.info/journal-revue-francaise-de-gestion-2026-1-page-51?lang=en.
  • Harfouche, A.,
  • Saba, P.
  • and Tite, T.
(2026). Ethical, Informed, And Explainable Ai (eix-Ai) in the Face of Fluctuations in Agricultural Demand. Revue française de gestion, 326(1), 51-73. https://doi.org/10.1684/rfg.2026.123.

https://doi.org/10.1684/rfg.2026.123

Abstract
Authors
Figures

Cite this article

  • Harfouche, A.,
  • Saba, P.
  • and Tite, T.
(2026). Ethical, Informed, And Explainable Ai (eix-Ai) in the Face of Fluctuations in Agricultural Demand. Revue française de gestion, 326(1), 51-73. https://doi.org/10.1684/rfg.2026.123.
  • Harfouche, Antoine.,
  • et al.
« Ethical, informed, and explainable AI (EIX-AI) in the face of fluctuations in agricultural demand ». Revue française de gestion, 2026/1 N° 326, 2026. p.51-73. CAIRN.INFO, shs.cairn.info/journal-revue-francaise-de-gestion-2026-1-page-51?lang=en.
  • HARFOUCHE, Antoine,
  • SABA, Peter
  • and TITE, Thrycia,
2026. Ethical, informed, and explainable AI (EIX-AI) in the face of fluctuations in agricultural demand. Revue française de gestion, 2026/1 N° 326, p.51-73. DOI : 10.1684/rfg.2026.123. URL : https://shs.cairn.info/journal-revue-francaise-de-gestion-2026-1-page-51?lang=en.

https://doi.org/10.1684/rfg.2026.123

French
Español
English

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.

Uploaded: 02/18/2026

https://doi.org/10.1684/rfg.2026.123