Marcin Hernes – författare

This book discusses various aspects of Industry 4.0 from the perspective of information system evolution. The interdisciplinary book addresses a number of topics related to modern information technologies, and presents innovative concepts, methods, models and tools for the development of information systems to support Industry 4.0.

This book discusses various aspects of Industry 4.0 from the perspective of information system evolution. The interdisciplinary book addresses a number of topics related to modern information technologies, and presents innovative concepts, methods, models and tools for the development of information systems to support Industry 4.0.

This book constitutes refereed proceedings of the 12th International Conference on International Conference on Computational Collective Intelligence, ICCCI 2020, held in Da Nang, Vietnam, in November – December 2020. intelligent management information systems; intelligent modeling and simulation approaches for games and real world systems;

This book contains the proceedings of the ECAI 2023 Workshop on Intelligent Management Information Systems (IMIS 2023). IMIS 2023 was part of the 26th European Conference on Artificial Intelligence ECAI 2023, held in Krakow from September 30, 2023, to October 4, 2023.The book discusses emerging challenges related to implementing artificial intelligence in Management Information Systems. The main focus is put on machine learning, including deep learning to support business processes, artificial intelligence for financial systems and cryptocurrencies, intelligent human–computer interfaces, knowledge management in business organizations, hybrid artificial intelligence, and multiple criteria decision analysis methods.The book is divided into four major parts covering the main issues related to the topic. The first part presents issues related to application of artificial intelligence in information systems. The second part is devoted to advanced machine learning methods to support business processes. The third part presents problems related to the social aspects of artificial intelligence in management. The fourth part is devoted to intelligent multiple criteria decision analysis methods.The book holds an interdisciplinary character; therefore, it is intended for a broad scope of readers, including researchers, students, managers, and employees of business organizations, software developers, IT, and management specialists.

IMIS 2024 was part of the 27th European Conference on Artificial Intelligence ECAI 2024, held in Santiago de Compostela from October 19, 2024, to October 24, 2024.The book discusses emerging challenges related to implementing artificial intelligence in management information systems.

This book contains the second volume of proceedings of the ECAI 2024 Workshop on Intelligent Management Information Systems (IMIS 2024). IMIS 2024 was part of the 27th European Conference on Artificial Intelligence ECAI 2024, held in Santiago de Compostela from October 19, 2024, to October 24, 2024.The book discusses emerging challenges related to implementing artificial intelligence in management information systems. The main focus is put on knowledge management and machine learning methods in information systems, artificial intelligence for decision support systems, intelligent customer management methods, hybrid artificial intelligence, and multiple criteria decision analysis methods and advanced computational methods for support business processes and decision-making.The book is divided into three major parts covering the main issues related to the topic. The first part presents issues related to the knowledge management in intelligent information systems. The second part is devoted to application of machine learning in management information systems. The third part presents problems related to multiple criteria decision analysis and computational methods.The book has an interdisciplinary character; therefore, it is intended for a broad scope of readers, including researchers, students, managers, and employees of business organizations, software developers, IT, and management specialists.

This book contains the second volume of proceedings of the ECAI 2025 Workshop on Intelligent Management Information Systems (IMIS 2025). IMIS 2025 was part of the 28th European Conference on Artificial Intelligence ECAI 2025, held in Bologna, Italy from October 25, 2025, to October 30, 2025.The book discusses emerging challenges related to implementing artificial intelligence (AI) in Management Information Systems (IMIS). It explores the application of artificial intelligence AI across various business, technology, and science domains and  underlines AI's primary and fundamental role in revolutionizing management information systems by providing intelligent solutions to complex problems.The main focus is put on application of AI supply chains, financial risk management, and anomaly detection in networks. It also discusses the use of AI in banking, data management, e-commerce, education, and sustainability, focusing on improving process efficiency and supporting decision-making in dynamic business environments. It highlights implementation challenges such as costs, integration with existing systems, and skill gaps, as well as the importance of human-computer interfaces and intelligent information management.The volume is divided into four major parts covering the main issues related to the topic. The first part presents application of AI concepts, methods and tools for supporting business processes. The second part focuses on developing intelligent methods for advanced decision support systems. The third part delves into research related to soft AI approaches, methods and tools for improving Management Information Systems. The fourth part addresses the research related to human problems in the broader process of interaction with the IMIS.The book has an interdisciplinary character; therefore, it is intended for a broad scope of readers, including researchers, students, managers and employees of business organizations, software developers, IT and management specialists.

This book is an interdisciplinary exploration of how artificial intelligence reshapes management information systems. Discover cutting-edge strategies for applying artificial intelligence to enhance decision-making, optimize business processes, and manage knowledge effectively. What sets this book apart is its integrative approach, bridging theory, methodology, and real-world case studies to address current challenges in AI-driven decision-making, automation, and knowledge management. Covering applications from customer analytics and robotic process automation to digital transformation and misinformation detection, it provides a comprehensive view of emerging AI trends. It is designed for researchers, practitioners, students, and technology professionals, this volume serves as both a scholarly reference and a practical guide for leveraging AI to enhance efficiency, innovation, and strategic decision-making across sectors.