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Reimagining Business Education in the Age of Artificial Intelligence

Khaled Mili

$491.95   $393.60

Paperback

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English
Business Science Reference
09 January 2026
In an era of technological advancement, AI is reshaping the foundations of industries and how business education must be evolved. Traditional curriculum, rooted in historical models of management and decision making, are increasingly out of date with the demands of a digital economy. Institutions can redefine their teaching approaches in leadership and innovation by integrating AI fluency and human-centered skills. As AI transforms the roles of business professionals, this reimagining is not just necessary, it is urgent. Reimagining Business Education in the Age of Artificial Intelligence explores the fundamental limitations of traditional educational models and how AI can be harnessed to enhance business education. This book examines both quantitative and qualitative dimensions of learning. Covering topics such as business education, AI, and digital learning, this book is an excellent resource for educational researchers, technology developers, administrators, students, and higher education leaders.
Edited by:  
Imprint:   Business Science Reference
Country of Publication:   United States
Dimensions:   Height: 254mm,  Width: 178mm, 
ISBN:   9798337343785
Pages:   538
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

Khaled Mili received the Ph.D. degree in Management Science from the Institute of High Commercial Studies of Carthage, Tunisia. He is currently an Associate Professor with the Department of Quantitative Methods, College of Business, King Faisal University, Saudi Arabia. With over 15 years of international academic experience across Tunisia, Canada, and Saudi Arabia, he brings a global perspective to business education and research. His research interests focus on operations research, multi-criteria decision-making, supply chain optimization, and artificial intelligence applications in business contexts. His recent work addresses the integration of AI in business education, digital transformation in sustainable development, and logistics optimization. His teaching portfolio encompasses business analytics, operations research, decision support systems, and supply chain management. Prof. MILI is committed to preparing future business leaders with analytical and critical thinking skills essential for navigating the data-driven economy. Trilingual in Arabic, English, and French, he engages with diverse academic communities across the MENA region and beyond. He continues to contribute actively to research, editorial activities, and project evaluation within the fields of optimization, logistics, and AI-enhanced business education.

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