​​Systemic Structure behind Human Organizations: From Civilizations to Individuals shows how the systemic yoyo model can be successfully employed to study human organizations at three different levels: civilizations, business enterprises, and individuals. This monograph tackles managerial problems from an holistic perspective such as how a business entity grows and dies and how a CEO can manipulate the choices of long- and short-term projects in order to gain more control over the board of directors. By creating a uniform language and logic of reasoning, the book provides examples and convincing results. Additionally the book shows how the same model, thinking logic, and methodology of the systems research can be equally applied to analyze problems and situations considered in natural sciences, social sciences, and humanity areas. Therefore it offers knowledge of a brand new tool to attack organizational problems. By concentrating on difficult, unsettled issues in these varying areas, this monograph thoroughly explains how some laws of nature can be established for the common study of natural and social sciences.​

​​Systemic Structure behind Human Organizations: From Civilizations to Individuals shows how the systemic yoyo model can be successfully employed to study human organizations at three different levels: civilizations, business enterprises, and individuals. This monograph tackles managerial problems from an holistic perspective such as how a business entity grows and dies and how a CEO can manipulate the choices of long- and short-term projects in order to gain more control over the board of directors. By creating a uniform language and logic of reasoning, the book provides examples and convincing results. Additionally the book shows how the same model, thinking logic, and methodology of the systems research can be equally applied to analyze problems and situations considered in natural sciences, social sciences, and humanity areas. Therefore it offers knowledge of a brand new tool to attack organizational problems. By concentrating on difficult, unsettled issues in these varying areas, this monograph thoroughly explains how some laws of nature can be established for the common study of natural and social sciences.​

This book is devoted to the study of human thought, its systemic structure, and the historical development of mathematics both as a product of thought and as a fascinating case analysis. After demonstrating that systems research constitutes the second dimension of modern science, the monograph discusses the yoyo model, a recent ground-breaking development of systems research, which has brought forward revolutionary applications of systems research in various areas of the traditional disciplines, the first dimension of science. After the systemic structure of thought is factually revealed, mathematics, as a product of thought, is analyzed by using the age-old concepts of actual and potential infinities. In an attempt to rebuild the system of mathematics, this volume first provides a new look at some of the most important paradoxes, which have played a crucial role in the development of mathematics, in proving what these paradoxes really entail. Attention is then turned to constructing the logical foundation of two different systems of mathematics, one assuming that actual infinity is different than potential infinity, and the other that these infinities are the same. This volume will be of interest to academic researchers, students and professionals in the areas of systems science, mathematics, philosophy of mathematics, and philosophy of science.

This book uses a system-based approach to decipher and organize the concepts and conclusions relevant for creating and capturing value in business. It develops a scientific theory based on systems science and logical reasoning that is commonly employed in mathematics and natural science. The resulting new theory focuses on the organizational nature of the world and the organic and holistic feature of human organizations and their interactions. To this end, this book identifies a few axioms, instead of empirical discoveries, on which it reliably constructs the entire theory.

Decentralized Autonomous Organizations (DAOs) constitute a comparatively novel area in academic research and scholarship, but the budding interest in this category of digital and algorithmic organization across various disciplines provides an indication of the possibilities that DAOs wield in terms of informing and advancing our understanding of the potentialities of the digital economy's forthcoming iterations. It also points towards practical use cases to solve problems that the increasing decentralization and amorphization of the structures of the digital economy portend. At the same time, DAOs are afflicted by various strands of skepticism that are attributable to their vulnerabilities, subjacent hype, ultimate purpose, and usefulness. This skepticism also requires scholarly attention and careful study through multidisciplinary perspectives, as further research may come to either dispel or confirm the array of concerns that continue to loom large about DAOs as technological, governance, societal, and economic instruments in the future. With all this in mind, the aim of this book is to offer multiple studied perspectives that explore DAOs from a variety of perspectives across several disciplinary prisms. It does not seek simply to weigh the balance of DAO's merits and demerits, but rather to conceive, appreciate, and discover various elements of ultimate import to DAOs over their future evolutionary course. Drawing upon the insights of interdisciplinary subject matter experts, this book allows for a holistic enquiry into the role, potential and limitations of DAOs. The book will thus be of interest to a multidisciplinary audience of scholars in organizational studies, computer science, economics, sociology of technology, philosophy, law, and the governance of innovation.

This book demonstrates the theoretical value and practical significance of systems science and its logic of thinking by presenting a rigorously developed foundation—a tool for intuitive reasoning, which is supported by both theory and empirical evidence, as well as practical applications in business decision making. Following a foundation of general systems theory, the book presents an applied method to intuitively learn system-sciences fundamentals. The third and final part examines applications of the yoyo model and the theoretical results developed earlier within the context of problems facing business decision makers by organically combining methods of traditional science, the first dimension of science, with those of systems science, the second dimension, as argued by George Klir in the 1990s. This text would benefit graduate students, researchers, or practitioners in the areas of mathematics, systems science or engineering, economics, and business decision science.

This book develops a general theory of managerial decision making on the basis of a few elementary postulates. It employs logic as the method of reasoning, systems science in general and the systemic YoYo Model in particular, as the intuitive playground. By doing so, the authors take individually background-based guesswork out of processes of decision making. All established conclusions are expected to be generally employable in real-life applications. At the same time, the book is user friendly to a wide range of audience, coincides with people's intuition, and provides applicable results and insights for practical purposes.

This book is devoted to a systems-theoretical presentation of the main results of applying the systemic yoyo model and relevant analytical tools to the topics of money and financial institutions. The author presents the main concepts and results of the subject matter in the language of systems science, which has in the past century prompted revolut

Due to inherent limitations in human sensing organs, most data collected for various purposes contain uncertainties. Even at the rare occasions when accurate data are available, the truthful predictions derived on the data tend to create chaotic consequences. So, to effectively process and make sense out of available data, we need methods to deal with uncertainty inherently existing inside the data. The intent of this monograph is to explore the fundamental theory, methods, and techniques of practical application of grey systems theory, initiated by Professor Deng Julong in 1982. This volume presents most of the recent advances of the theory accomplished by scholars from around the world. From studying this book, the reader will not only acquire an overall knowledge of this new theory but also be able to follow the most current research activities. All examples presented are based on practical applications of the theory when urgent real-life problems had to be addressed. Last but not the least, this book concludes with three appendices. The first one compares grey systems theory and interval analysis while revealing the fact that interval analysis is a part of grey mathematics. The second appendix presents an array of different approaches of studying uncertainties. And, the last appendix shows how uncertainties appear using general systems approach.

This book is in honor of Yasuhiko Takahara, a first-class researcher who has been active for some 50 years at the global level in systems research. Researchers and practitioners from Japan and other countries who have been influenced by Takahara have come together from far and wide to contribute their major research masterpieces in the field of systems research in the broadest sense. While the roots of Takahara’s systems research are in general systems theory and systems control theory, he developed his research and teaching in diverse directions such as management information science, engineering, social simulation, and systems thinking. As a result, many of the researchers and practitioners he supervised or influenced have established their own positions and are now active around the world in a wide range of systems research. Volume I is a collection of their masterpieces or representative works in the field of systems theory and modeling.