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Improving Transparency and Visibility in Supply Chain With AI

Improving Transparency and Visibility in Supply Chain With AI


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About the Book

In this globalized economy, supply chain transparency and visibility have become more essential than ever for operational efficiency and ethical standards. AI offers transformative potential in addressing long-standing challenges in supply chain management like predictive insights and real time data analysis. AI tools are reshaping how companies gain more visibility in their supply chains. Improving Transparency and Visibility in Supply Chain With AI explores how AI is reshaping digital supply chains and logistics. This book stimulates innovation, encourages cross-disciplinary collaboration, and inspires future studies in this evolving domain. Covering topics such as AI, supply chain management, and logistics, this book is an excellent resource for Industry professionals, policymakers, and AI educators.

About the Author :
Dr. Omar Ali is an Associate Professor in Management Information Systems (MIS) at Abdullah Al Salem University (AASU), Kuwait. He is also acting head of Digital Marketing, Entrepreneurship and Innovation Department. In addition, he is the assistant of Vice President for Development and Intuitional Excellence at AASU. He received his PhD in MIS from the University of Southern Queensland (USQ), Australia. Also, he holds two master’s degrees, the first one in Information and Communication Technology, and the second one in Information Systems and Technology by research, both from the University of Wollongong, Australia. His research interests include RFID; cloud computing; blockchain; artificial intelligence; security; and system analysis and design. He is the reviewer of many leading journals such as International Journal of Information Management, Government Information Quarterly, Information Systems Management, Technological Forecasting and Social Change, and Behavior and Information Technology. Also, he has published in top international leading journals such as International Journal of Information Management, Technological Forecasting and Social Change, Journal of Innovation and Knowledge, Government Information Quarterly, Information Technology and People, and Behavior and Information Technology. Wael Farag earned his Ph.D. from the University of Waterloo, Canada in 1998; M.Sc. from the University of Saskatchewan, Canada in 1994; and B.Sc. from Cairo University, Egypt in 1990. His research, teaching, and industrial experience focus on machine learning, embedded systems, robotics, renewable energy, and control systems. He has combined 17 years of industrial and senior management experience in Automotive (Valeo), Oil & Gas (Schneider) and Construction Machines (CNH) positioned in several countries including Canada, USA & Egypt. Moreover, he has 15 Years of academic experience at Wilfrid Laurier University, Cairo University, American University of the Middle East, and Abdullah Al-Salem University. Spanning several topics of electrical and computer engineering. He is the holder of 2 US patents; ISO9000 Lead Auditor Certified, Senior IEEE member, and Scrum Master Certified. He is ranked among the top 2% scientists on Elsevier/Stanford list for 4 consecutive years from 2021 to 2024, as well as among the top 2% career-long scientists in year 2024. Ashraf Jaradat currently is an Associate Professor in the department of Management Information Systems at American University of the Middle East, Kuwait. He received his PhD in Information System from National University of Malaysia. After obtaining his Doctoral degree, he was an Assistant Professor in the department of Management Information Systems at Yarmouk University. He also worked in Spring Hill group as advisor business development. His research interest includes effects of data integration, uncertainty management, data fusion, information system modelling, E-learning, Fog computing and blockchain. He has published in IEEE Access, Journal of Network and Computer Applications, Business Process Management Journal, Journal of Science and Technology Policy Management, and International Journal of Intelligent Information and Database Systems.


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Product Details
  • ISBN-13: 9798337328447
  • Publisher: IGI Global
  • Publisher Imprint: Business Science Reference
  • Height: 254 mm
  • No of Pages: 292
  • ISBN-10: 8337328444
  • Publisher Date: 20 Nov 2025
  • Binding: Paperback
  • Language: English
  • Width: 178 mm


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