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Exploring Explainable AI Transparency in Managerial Decision-Making: A Multi-Sectoral Analysis of Organizational Trust in Morocco
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Author(s): Rita El Guermai (Cadi Ayyad University, Morocco), Abdelfattah Jamal (Cadi Ayyad University, Morocco)and Karima Aissaoui (Mohammed First University, Morocco)
Copyright: 2026
Pages: 34
Source title:
Transparency in AI-Assisted Management Decisions
Source Author(s)/Editor(s): Abdelfattah Jamal (Cadi Ayyad University, Morocco), Karima Aissaoui (Mohammed First University, Morocco), Lhoussaine Alla (Sidi Mohamed Ben Abdellah University, Morocco), Bouchra Alj (Hassan II University, Morocco)and Badr Bentalha (Sidi Mohammed Ben Abdellah University, Morocco)
DOI: 10.4018/979-8-3373-1737-3.ch002
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Abstract
The research investigates how managers perceive AI transparency through accessibility, comprehensibility, and fairness which determines their level of interaction with AI-assisted decision systems. Managerial interaction serves as the outcome variable which this study categorizes into three ordered levels: low, moderate, and high. The research combines explainable AI frameworks (LIME and SHAP) with organizational trust and transparency models to connect cognitive and ethical aspects of human–AI interaction. A structured survey was conducted among 180 managers from three key sectors in Morocco: banking, telecommunications and retail. The questionnaire was developed from validated scales and analyzed by logistic regression models, run in Python for algorithmic flexibility and in SAS to ensure statistical robustness and reproducibility.
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