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This book aims to provide relevant theoretical frameworks and the latest empirical research findings in the area of MIS with the scope of Industry 4.0. The strategic role in the distributed business environment and the necessity to utilize its key elements at different levels are emphasized.

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Nowadays, an end-to-end industrial transformation called Industry 4.0 sets new goals for manufacturing and impacts on business outcomes. With some of its characteristic elements such as IoT (Internet of Things), digital twin simulation models, advanced robots, big data analytics, and virtual/augmented reality, Industry 4.0 is "de facto" going further. The book aims to provide relevant theoretical frameworks and the latest empirical research findings in the area of Management Information Systems (MIS) with the scope of Industry 4.0. The strategic role of Industry 4.0 in the distributed business environment and the necessity to protect and properly utilize its key elements at different levels of organizations as well as in society are discussed.

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Industry 4.0 - Management Information Systems - IoT (Internet of Things) - Digital twin simulation models - Advanced robots - Big data analytics and virtual/augmented reality - Cloud platforms

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Sevin‡ Gülse‡en has her doctoral degree in artificial neural networks from the Faculty of Business, Istanbul University. Her primary teaching and research interests are system analysis and design, constructivist learning, e-learning, social informatics, and knowledge management.

Zerrin Ayvaz Reis received her PhD degree from Istanbul University, Natural Sciences Institute, Department of Computer Sciences Engineering. Her research interests focus on UML methodology, software engineering, database management systems, e-learning, disadvantaged groups and social responsibility studies.

Murat Gezer received his PhD degree from Istanbul University. His areas of interest include Linux, machine learning, artificial intelligence and image processing.

€igdem Erol received her PhD degree from Istanbul University, Institute of Science. Her research interests focus on bioinformatics, microarray data analysis and data mining.

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