Author

Malak Khreis

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Open access Sep 2026

A Machine Learning Framework for Predicting Tax Payment Arrears: Comparative Model Evaluation and Shapley-Value Interpretability

Tax administrations increasingly use data-driven risk models to prioritize collection resources, yet machine learning applications to personal income tax (PIT) arrears remain limited. This study introduces TaxMind (v1.0), an interpretable risk management framework for predicting whether PIT obligations will progress to...

Malak Khreis, Hadi Harb, Soha Dia · Journal of Risk and Financia... · 0 citations

Open access Sep 2026

VERITAS: A Verified-Data Machine Learning Approach to Segment-Specific Tax Audit Planning

Innovations in artificial intelligence are reshaping how tax administrations approach compliance and audit planning, yet existing AI-based fraud detection studies largely treat the taxpayer population as homogeneous or remain conceptual frameworks awaiting empirical validation. This gap is consequential because audit r...

Malak Khreis, Hadi Harb, Soha Dia · Journal of Risk and Financia... · 0 citations

Open access Aug 2026

Personalized but Valued? How AI-Driven Advertising Shapes Perceived Trust and Purchase Intention: A Cross-National Comparison

AI-driven personalization has become a defining feature of digital advertising, yet whether it drives purchase intention directly or depends on other underlying mechanisms remains insufficiently understood, particularly in under-studied emerging markets. This study investigates how perceived relevance, usefulness, and...

Soha Dia, Hadi Harb, Malak Khreis et al. · Administrative Sciences · 0 citations