Data-driven Intelligent Business Sustainability

Data-driven decision making is crucial for ensuring the long-term sustainability of businesses and economic growth. While rapid technological advancements have enabled the collection and analysis of data on an unprecedented scale, businesses face challenges in adopting evidence-based decision making. Data-Driven Intelligent Business Sustainability is a comprehensive guide that examines the challenges and opportunities presented by data-driven decision making. It covers new technologies like blockchain, IoT, and AI, explores their potential for sustainable business success, and provides guidance on managing cybersecurity threats. The book also includes case studies and examples of successful implementations of data-driven decision making, making it a practical resource for those seeking to upskill or reskill in this field. Targeted at computer science and engineering professionals, researchers, and students, the book provides valuable insights into the role of data-driven decision making in business sustainability, helping businesses achieve long-term success.

Slim Hadoussa is a Professor of Management Information System and Dean of the Faculty at Brest Business School France. He obtained his PhD in Management Information System from University of Toulouse I Capitole France in 2009 awarded by the Ministry of Foreign and European Affairs France. He has an international teaching experience as an Associate Professor at MENA and Gulf Region Universities especially at Saudi Electronic University, Saudi Arabia and University of Carthage Tunisia. He contributes to diverse research, cooperation and visiting programs at MENA Region (Saudi Arabia, Morocco, Egypt, Tunisia, etc.). His research and teaching interest focus on MIS and organizational change, performance in different sectors such health care, education, commerce, tourism, etc. His publications focus on digitalization process and organizational consequences. His research projects treat subjects dealing with social media, e-learning experiences at universities, e-commerce and e-marketing, e-health and decision-making process, etc. He has several publications at peer reviewed international journal indexed FNEGE France, ABS, Web of Science and Scopus.

Ahmed J. Obaid is a Asst. Professor at the Department of Computer Science, Faculty of Computer Science and Mathematics, University of Kufa, Iraq. Dr. Ahmed holds a Bachelor in Computer Science, degree in – Information Systems from College of Computers, University of Anbar, Iraq (2001-2005), and a Master Degree (M. TECH) of Computer Science Engineering (CSE) from School of Information Technology, Jawaharlal Nehru Technological University, Hyderabad, India (2010-2013), and a Doctor of Philosophy (PhD) in Web Mining from College of Information Technology, University of University of Babylon, Iraq (2013-2017). He is a Certified Web Mining Consultant with over 14 years of experience in working as Faculty Member in University of Kufa, Iraq. He has taught courses in Web Designing, Web Scripting, JavaScript, VB.Net, MATLAB Toolbox's, and other courses on PHP, CMC, and DHTML from more than 10 international organizations and institutes from USA, and India. Dr. Ahmed is a member of Statistical and Information Consultation Center (SICC), University of Kufa, Iraq. His main line of research is Web mining Techniques and Application, Image processing in the Web Platforms, Image processing, Genetic Algorithm, information theory, and Medical Health Applications. Ahmed J. is Associated Editor in Brazilian Journal of Operations & Production Management (BJO&PM) and Editorial Board Members in : International Journal of Advance Study and Research Work (IJASRW), Journal of Research in Engineering and Applied Sciences(JREAS), GRD Journal for Engineering (GRDJE), International Research Journal of Multidisciplinary Science & Technology (IRJMST), The International Journal of Technology Information and Computer (IJTIC), Career Point International Journal Research (CPIJR). Ahmed J. was Editor in Many International Conferences such as: ISCPS_2020 , MAICT_2020 , IHICPS_2020 , IICESAT_2021 , IICPS_2020 , ICPAS_2021 , etc. (Scopus Indexed Conferences). He has edited Some books, such as Advance Material Science and Engineering (ISBN: 9783035736779, Scientific.net publisher), Computational Intelligence Techniques for Combating COVID-19 (ISBN: 978-3-030-68936-0 EAI/Springer), A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems (ISBN: 978-3-030-76653-5 Springer). Ahmed J. has supervised several final projects of Bachelor and Master in his main line of work, and authored and co-authored several scientific publications in journals, Books and conferences with more than 65+ Journal Research Articles, 5+ book Chapters, 15+ Conference papers, 10+ Conference proceedings, 8+ Books Editing, 2+ Patent. Ahmed J. also Reviewer in many Scopus, SCI and ESCI Journals e.g., CMC, IETE, IJAACS, IJIPM, IJKBD, IJBSR, IET, IJUFKS and many others. Dr. Ahmed Attend and participate as: Keynote Speakers (40+ Conferences), Webinars (10+), Session Chairs (10+), in many international events in the following countries: India, Turkey, Nepal, Philippines, Vietnam, Thailand, Indonesia and other countries.

R. Regin is currently working as an assistant professor in the Department of Computer Science and Engineering at the SRM Institute of Science and Technology, Chennai, Tamil Nadu, India. He has a specialization in the branch of information and communication. He holds experience of 10+ years in teaching faculty and research. He has also published papers in 55 reputed international journals, 40 international conferences, and 15 national conferences. He is a member of professional bodies like IE and IETE. He is also a Book Series Editor for IGI Global Publisher, Springer, etc. He is the Editor-in- Chief of the International Journal of Technology Information and Computers, Growing Scholar USA, and a member of the Journal Ilmiah Teunuleh's Editorial Advisory Board. He does research work in the fields of VANET, WSN, MANET, Cloud Computing, Network Security, and Information Security. He is a reviewer for many reputed journals like Springer, Inderscience, etc.(bf268f46-ccf1-4d37-a189-1129b8294389)