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.
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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.
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Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9798369300497
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