Different groups within information and knowledge society and the network economy have acknowledged the significance of the role of trust. It is important to understand how to manifest trust and how it can be enhanced at various levels in organizations. In this, trust connected to both human and technology interactions is of primary importance. It improves the ability to process and manage information and knowledge-related processes to create new knowledge to increase strategic capability and organizational performance. In the fields of information studies, information systems, and knowledge management, there exists a need for an edited collection of original research in this area.Digital Technologies in Modeling and Management: Insights in Education and Industry provides relevant theoretical frameworks and the latest empirical research findings. It is written for professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society, that is, trust at the level of the global economy, of networks and organizations, of teams and work groups, of information systems and, finally, trust at the level of individuals as actors in the networked environments. The book consists of two parts, with the first part focusing on modeling complex systems using digital technologies, while the second part deals with the digitalization of economic processes and their management.The book results from research conducted by leading universities’ teaching staff and contains the results of many years of scientific experiments and theoretical conclusions. The book is for a wide range of readers, including the teaching staff of higher educational institutions, graduate students, students in computer science and modeling, and management technologies, including economics. It is also a valuable resource for IT professionals and business analysts interested in using digital technologies to model and control complex systems.

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