Middle East

The COVID-19 pandemic's shift to Emergency Remote Teaching (ERT) via platforms like Zoom created a global, real-world test for digitally mediated learning. This study provides an in-depth exploration of the multifaceted psycho-academic impacts on a particularly vulnerable population: Arab students in Israel, a minority group facing pre-existing socioeconomic and digital disparities. Through in-depth qualitative interviews with 30 students, I analyzed their lived experiences. To make sense of the

Introduction The blue economy has emerged as a strategic framework for aligning marine-based economic development with environmental sustainability and social equity. Empirical evidence from arid and industrialized coastal regions, however, remains limited. Methods This study employs a convergent mixed-methods design using a structured questionnaire administered to 404 stakeholders across the Eastern Province coastline of Saudi Arabia, complemented by qualitative open-ended responses. Quantitati

The primary purpose of this study was to investigate and present a theoretical model that identifies the most influential factors affecting the adoption of artificial intelligence (AI) by SMEs to achieve sustainable business performance in Saudi Arabia by integrating the Technology–Organization–Environment (TOE) framework. The authors utilized a quantitative method, using a survey instrument for this research. Data for this research were collected from managers working in six different sectors.

This study aims to investigate the influence of AI-enhanced leadership on employee well-being in the Middle East and North Africa (MENA).It examines the mediating role of psychological safety and perceived fairness of AI, and explores the moderating effect of authoritarian leadership styles.A quantitative study was conducted using data collected from a survey of 104 professionals in Tunisia, Egypt, and Saudi Arabia.This research applied the Partial Least Squares Structural Equation Modeling (PLS