Jarosław Wątróbski – författare

This book represents an important voice in the discourse on the adoption of emerging ICT for sustainability. It focuses on how emerging ICT acts as a crucial enabler of sustainability, offering new forward-looking approaches to this field. The book explores how emerging ICT adoption drives sustainability efforts in business and public organizations, promoting ecological, economic, social, cultural, and political sustainability. The book''s theoretical discussions, conceptual approaches, empirical studies, diverse perspectives, and views make it a valuable and comprehensive reference work.

Appealing to both researchers and practitioners, this book provides significant areas for research and practice related to the contribution of emerging ICT adoption to sustainability. It also suggests vital considerations for programming and building sustainable development-driven emerging ICT adoption. Readers will find answers to important contemporary questions, such as:

This book represents an important voice in the discourse on the adoption of emerging ICT for sustainability. It focuses on how emerging ICT acts as a crucial enabler of sustainability, offering new forward-looking approaches to this field. The book explores how emerging ICT adoption drives sustainability efforts in business and public organizations, promoting ecological, economic, social, cultural, and political sustainability. The book''s theoretical discussions, conceptual approaches, empirical studies, diverse perspectives, and views make it a valuable and comprehensive reference work.

Appealing to both researchers and practitioners, this book provides significant areas for research and practice related to the contribution of emerging ICT adoption to sustainability. It also suggests vital considerations for programming and building sustainable development-driven emerging ICT adoption. Readers will find answers to important contemporary questions, such as:

This book constitutes revised selected and extended papers presented at track 4 of the Conference on Computer Science and Intelligence Systems, FedCSIS 2022, which took place in Sofia, Bulgaria, during September 4–7, 2022.

The present book includes extended and revised versions of a set of selected papers submitted to the Topical Area of Information Technology for Business and Society, ITBS 2023, and two Thematic Tracks: Information System Management, ISM 2023, and Knowledge Acquisition and Management, KAM 2023, held in Poland, Warsaw, during September 17- 20, 2023.

ITBS 2023 received 26 submissions, from which 6 full papers and 2 short papers have been accepted; for ISM 2023 3 full papers and 1 short paper have been accepted from 21 submissions; and for KAM 2023 1 full paper has been accepted from 7 submissions. From the 6 submissions to DSH 2023, no paper passed the extended reviews. The accepted papers are grouped in sections on IT in Improving of Management Systems, Approaches to Improving of Social Problems, and Methods of Solving Business.

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.

This book contains the first 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 machine learning, including deep learning to support business processes, artificial intelligence for financial systems and cryptocurrencies, hybrid artificial intelligence, and multiple criteria decision analysis methods.

The book is divided into three 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 and data processing methods to support business processes. The third part is devoted to intelligent multiple-criteria decision analysis 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 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.