System of Human Activity Systems


Book Description

This book has unique features that set it apart from conventional books on the prevention of system failures in that it provides a method that views human activities from a meta-methodological perspective based upon an inter-disciplinary understanding of human activities. With these characteristics, the book also proposes a common methodological basis to apply to various problems surrounding society today such as an aging social infrastructure; the safety of food, medicine, and public transportation; and the creation of sustainable electricity and cybersecurity. Furthermore, since the failure of human activities is expressed in a three-dimensional space and the topological metrics are implemented, the failure trajectories can be quantitatively monitored in time series to take effective preventive measures. Considering the implementation of the topological metrics, the causes of each failure are classified into two dimensions of the degree of coupling between system elements and the interaction between the target system and the external environment. Owing to the nature of the introduction of topological metrics, all individual and diverse systems can share general topological metrics. Consequently, understanding various failures over cross-industries is possible with the use of common meta-systemic language and mutual learning between different industries, and the solution of social problems can be effectively achieved. A system of system failures (SOSF) proposed and confirmed the effectiveness of this meta-methodology for information and communication technologies (ICT) systems and the SOSF is extended to human activity systems (SOHAS: system of human activity systems) as a whole. Therefore, the SOHAS becomes an academic foundation for theoretical research on meta-methodology, and it has an impact on practitioners to prevent system failures by accumulating knowledge of failures and learning from other industries.




Activity Systems Analysis Methods


Book Description

In the last two decades, there has been growing interest in pursuing theoretical paradigms that capture complex learning situations. Cultural Historical Activity Theory (CHAT) is one of several theoretical frameworks that became very popular among educational researchers because it conceptualizes individuals and their environment as a holistic unit of analysis. It assumes a non-dualistic ontology and acknowledges the complexities involved in human activity in natural settings. Recently, reputable journals such as the American Psychologist, Educational Psychologist, and Educational Researcher that are targeted for a wide-range of audience have included articles on CHAT. In many of such articles, CHAT has been referred to as social constructivism, sociocultural theory, or activity theory. Activity systems analysis is one of the popular methods among CHAT researchers for mapping complex human interactions from qualitative data. However, understanding the methods involved in activity systems analysis is a challenging task for many researchers. This difficulty derives from several reasons. First the original texts of CHAT are in Russian and there have been numerous authors who report on the difficulties of reconciling translation problems of the works of original authors’ such as Vygotsky and Leontiev. Second, in North America activity systems analysis has deviated from the Russian scholars’ intentions and Engeström’s original work using the triangle model to identify tensions to overcome and bring about sociopolitical change in participant practices. Third, to this date there are numerous publications on the theoretical background of activity theory and studies reporting the results of using activity systems analysis for unpacking qualitative data sets, but there have been no methodological publications on how researchers engage in activity systems analysis. Thus, there is a dearth of literature in both book and journal publications that guide researchers on the methodological issues involving activity systems analysis.




Guided Evolution of Society


Book Description




Human Activity Recognition


Book Description

Learn How to Design and Implement HAR Systems The pervasiveness and range of capabilities of today's mobile devices have enabled a wide spectrum of mobile applications that are transforming our daily lives, from smartphones equipped with GPS to integrated mobile sensors that acquire physiological data. Human Activity Recognition: Using Wearable Sen







Information Systems Strategic Management


Book Description

This fully revised and updated second edition of Information Systems Strategic Management continues to provide an accessible yet critical analysis of the strategic aspects of information systems. The second edition again covers the relevant practical and theoretical material of information systems, supported by extensive case studies, student activities, and problem scenarios. The ISS issues will be fully integrated into current thinking about corporate strategy, addressing the fact that a range of emerging strategic issues are often ill addressed in IS strategy books, which also fail to differentiate between IT, the application of technology, and IS, the participative, human-centred approaches to information and knowledge management. Specific changes include Expansion and internationalisation of case studies Broader focus beyond social and critical theory New chapters on strategy and e-business, strategic management as a technical or social process, strategic implications of information security, applications portfolio, and technology management. The focus on strategic issues and the integration of IT and IS issues ensures this text is ideal for MBA students studying MIS, as well as being suitable for MSC students in IS/IT.




A Systems View of Education


Book Description




Engineering Intelligent Systems


Book Description

Engineering Intelligent Systems Exploring the three key disciplines of intelligent systems As artificial intelligence (AI) and machine learning technology continue to develop and find new applications, advances in this field have generally been focused on the development of isolated software data analysis systems or of control systems for robots and other devices. By applying model-based systems engineering to AI, however, engineers can design complex systems that rely on AI-based components, resulting in larger, more complex intelligent systems that successfully integrate humans and AI. Engineering Intelligent Systems relies on Dr. Barclay R. Brown’s 25 years of experience in software and systems engineering to propose an integrated perspective to the challenges and opportunities in the use of artificial intelligence to create better technological and business systems. While most recent research on the topic has focused on adapting and improving algorithms and devices, this book puts forth the innovative idea of transforming the systems in our lives, our societies, and our businesses into intelligent systems. At its heart, this book is about how to combine systems engineering and systems thinking with the newest technologies to design increasingly intelligent systems. Engineering Intelligent Systems readers will also find: An introduction to the fields of artificial intelligence with machine learning, model-based systems engineering (MBSE), and systems thinking—the key disciplines for making systems smarter An example of how to build a deep neural network in a spreadsheet, with no code or specialized mathematics required An approach to the visual representation of systems, using techniques from moviemaking, storytelling, visual systems design, and model-based systems engineering An analysis of the potential ability of computers to think, understand and become conscious and its implications for artificial intelligence Tools to allow for easier collaboration and communication among developers and engineers, allowing for better understanding between stakeholders, and creating a faster development cycle A systems thinking approach to people systems—systems that consist only of people and which form the basis for our organizations, communities and society Engineering Intelligent Systems offers an intriguing new approach to making systems more intelligent using artificial intelligence, machine learning, systems thinking, and system modeling and therefore will be of interest to all engineers and business professionals, particularly systems engineers.




Applications of Soft Systems Methodology for Organizational Change


Book Description

Systems thinking is a method of problem solving that deals with various cultural issues including conflict and compromise. In recent years, researchers have begun studying this approach and applying it within several professional fields, specifically organizations and business management. In the modern age of information, professionals are continually looking for new methods to improve traditional practices within their field. Improving organizational practices through the implementation of the soft systems approach is a growing research area that requires in-depth discussion and case studies. Applications of Soft Systems Methodology for Organizational Change is a collection of innovative research on the theories and practices of soft systems and their application within organizational and industrial analysis. While highlighting topics including agent-based modeling, sustainable energy initiatives, and natural resources allocation, this book is ideally designed for researchers, designers, managers, analysts, practitioners, executives, academicians, and students seeking current research on the theories and applications of soft systems design.




Studies in Expansive Learning


Book Description

A conceptual and practical toolkit for creating learning processes with the help of interventions in workplaces, schools and communities.