Proceedings of the International Conference on Artificial Intelligence Applications in Business Administration in MENA Region (ICAIABA 2026)
International Conference on Artificial Intelligence Applications in Business Administration in MENA Region (ICAIABA 2026)
📍Biskra, Algeria🗓️ 13-14 April 2026
Conference Name: International Conference on Artificial Intelligence Applications in Business Administration in MENA Region (ICAIABA 2026)
Date: 13-14 April 2025
Location: Biskra, Algeria (Hybrid)
Website: icaiaba.univ-biskra.dz The International Conference on Artificial Intelligence Applications in Business Administration in the MENA Region (ICAIABA’2026), held on April 13-14, 2026 at the University of Biskra, Algeria, is a key academic event exploring how AI is transforming business practices. It brings together scholars, professionals, and policymakers to exchange ideas and enhance understanding of AI-driven innovations across the MENA region. Advances in AI technologies have significantly reshaped global economies, driving organizations to enhance efficiency and innovation, while the MENA region faces distinct opportunities and challenges in adoption. The conference aimed at reaching the following goals: *Providing a platform for researchers and practitioners from academia and industry to meet and share cutting-edge developments in the field. *Coordinating the contributions of AI researchers across disciplines to propose solutions to challenges associated with AI applications in business administration within the MENA region. *Improving understanding and awareness of the importance of AI in digital transformation within business environments. *Highlighting the latest scientific research contributions related to AI applications in business administration. The conference proceedings reflect this through peer-reviewed contributions organized into eight thematic chapters addressing AI applications in business administration. The first chapter focuses on AI and competitive advantage, examining how generative AI and emerging intelligent systems are redefining strategic positioning and value creation. Contributions also explore the integration of AI with green intellectual capital to support sustainable development, particularly within higher education institutions. The second chapter examines AI applications across corporate functions such as finance, auditing, and human resource management, emphasizing the role of predictive analytics, explainable AI, and advanced models in enhancing decision-making. Case studies from the MENA region, including Algeria, illustrate the practical impact of these technologies. The third chapter addresses transformations in business management and supply chains, emphasizing the role of AI in reshaping logistics, Blockchain-based transactions, and sustainable transportation systems. These studies provide empirical insights into how AI contributes to operational efficiency and sustainability in sectors such as tourism and logistics. The fourth chapter explores digital transformation and customer-centric AI applications, with a particular focus on e-commerce, banking services, and customer experience management. Topics such as chatbot trust, omnichannel automation, and predictive service systems illustrate how AI is redefining interactions between organizations and their customers, especially among younger, digitally native generations. The fifth chapter is dedicated to entrepreneurship and AI-driven startups, highlighting the emergence of intelligent ventures and the challenges they face. Contributions examine issues such as startup survival, cyber-fragility, and ethical innovation, including socially impactful applications designed to improve accessibility and inclusivity. The sixth chapter discusses AI readiness, governance, and sectoral applications, including water resource management, insurance, and financial technologies. These studies emphasize the importance of organizational preparedness, regulatory frameworks, and measurement models in facilitating effective AI adoption across industries. The seventh chapter explores advanced predictive systems and digital business models, covering areas such as vendor performance forecasting, food security, semiconductor optimization, and AI-driven tourism decisions. These contributions highlight the expanding role of AI and its strategic importance in driving business model innovation. The eighth chapter focuses on emerging technologies and their broader implications, including optimization techniques, healthcare decision-support systems, intellectual property challenges, and the impact of AI on education and renewable energy. It emphasizes the interdisciplinary nature of AI and its wide-ranging societal and economic effects. The contributions in this volume reflect the growing maturity of AI research in the MENA region and its increasing relevance to business administration, while underscoring the importance of integrating innovation with ethics, governance, and human-centered approaches to achieve sustainable and inclusive development. The success of ICAIABA’2026 is attributed to the dedicated efforts of its committees, reviewers, and contributors. This collection aims to support scholars, practitioners, and decision-makers by fostering further research and collaboration, and by emphasizing the importance of responsible and strategic AI integration for the future of organizations and economies.
Date: 13-14 April 2025
Location: Biskra, Algeria (Hybrid)
Website: icaiaba.univ-biskra.dz The International Conference on Artificial Intelligence Applications in Business Administration in the MENA Region (ICAIABA’2026), held on April 13-14, 2026 at the University of Biskra, Algeria, is a key academic event exploring how AI is transforming business practices. It brings together scholars, professionals, and policymakers to exchange ideas and enhance understanding of AI-driven innovations across the MENA region. Advances in AI technologies have significantly reshaped global economies, driving organizations to enhance efficiency and innovation, while the MENA region faces distinct opportunities and challenges in adoption. The conference aimed at reaching the following goals: *Providing a platform for researchers and practitioners from academia and industry to meet and share cutting-edge developments in the field. *Coordinating the contributions of AI researchers across disciplines to propose solutions to challenges associated with AI applications in business administration within the MENA region. *Improving understanding and awareness of the importance of AI in digital transformation within business environments. *Highlighting the latest scientific research contributions related to AI applications in business administration. The conference proceedings reflect this through peer-reviewed contributions organized into eight thematic chapters addressing AI applications in business administration. The first chapter focuses on AI and competitive advantage, examining how generative AI and emerging intelligent systems are redefining strategic positioning and value creation. Contributions also explore the integration of AI with green intellectual capital to support sustainable development, particularly within higher education institutions. The second chapter examines AI applications across corporate functions such as finance, auditing, and human resource management, emphasizing the role of predictive analytics, explainable AI, and advanced models in enhancing decision-making. Case studies from the MENA region, including Algeria, illustrate the practical impact of these technologies. The third chapter addresses transformations in business management and supply chains, emphasizing the role of AI in reshaping logistics, Blockchain-based transactions, and sustainable transportation systems. These studies provide empirical insights into how AI contributes to operational efficiency and sustainability in sectors such as tourism and logistics. The fourth chapter explores digital transformation and customer-centric AI applications, with a particular focus on e-commerce, banking services, and customer experience management. Topics such as chatbot trust, omnichannel automation, and predictive service systems illustrate how AI is redefining interactions between organizations and their customers, especially among younger, digitally native generations. The fifth chapter is dedicated to entrepreneurship and AI-driven startups, highlighting the emergence of intelligent ventures and the challenges they face. Contributions examine issues such as startup survival, cyber-fragility, and ethical innovation, including socially impactful applications designed to improve accessibility and inclusivity. The sixth chapter discusses AI readiness, governance, and sectoral applications, including water resource management, insurance, and financial technologies. These studies emphasize the importance of organizational preparedness, regulatory frameworks, and measurement models in facilitating effective AI adoption across industries. The seventh chapter explores advanced predictive systems and digital business models, covering areas such as vendor performance forecasting, food security, semiconductor optimization, and AI-driven tourism decisions. These contributions highlight the expanding role of AI and its strategic importance in driving business model innovation. The eighth chapter focuses on emerging technologies and their broader implications, including optimization techniques, healthcare decision-support systems, intellectual property challenges, and the impact of AI on education and renewable energy. It emphasizes the interdisciplinary nature of AI and its wide-ranging societal and economic effects. The contributions in this volume reflect the growing maturity of AI research in the MENA region and its increasing relevance to business administration, while underscoring the importance of integrating innovation with ethics, governance, and human-centered approaches to achieve sustainable and inclusive development. The success of ICAIABA’2026 is attributed to the dedicated efforts of its committees, reviewers, and contributors. This collection aims to support scholars, practitioners, and decision-makers by fostering further research and collaboration, and by emphasizing the importance of responsible and strategic AI integration for the future of organizations and economies.