It is now widely recognized that the effective management of knowledge assets is a key requirement for securing competitive advantage in the emerging information economy. Yet the physical and institutional differences between tangible assets and knowledge assets remain poorly understood. In the case of knowledge, the ownership and control of assets are becoming ever more separate, a phenomenon that is actually exacerbated by the phenomenon of learning. If we are to meet the challenges of the information economy, then we need a new approach to property rights based on a deeper theoretical understanding of knowledge assets. Max Boisot writes clearly and in accessible language providing some of the key building blocks which are needed for a theory of knowledge assets. He develops a powerful conceptual framework, the Information-Space or I-Space, for exploring the way knowledge flows within and between organizations. This framework will enable managers and students to explore and understand how knowledge and information assets differ from physical assets, and how to deal with them at a strategic level within their organizations.
In this book the author lays the foundations for a new political economy of information. The information space, or I-Space is the conceptual framework in which organizations, institutions and cultures are being transformed by new information and communication technologies. In the penultimate chapter, the I-Space’s usefulness as an explanatory framework is illustrated with an application: a case study of China’s modernization. Information Space proposes a radical shift in the way that we approach the emerging information age and the implications it holds for societies, organizations and individuals.
With the rise of the knowledge economy, the knowledge content of goods and services is going up just as their material content is declining. Economic value is increasingly seen to reside in the former - that is, in intangible assets - rather than in the latter. Yet we keep wanting to turn knowledge back into something tangible, something with definite boundaries which can be measured, manipulated, appropriated, and traded. In short, we want to reify knowledge. Scholars have been debating the nature of knowledge since the time of Plato. Many new insights have been gained from these debates, but little theoretical consensus has been achieved. Through six thematically linked chapters, the book articulates the theoretical approach to the production and distribution of knowledge that underpins Max Boisot's conceptual framework, the Information Space or I-Space. In this way the book looks to provide theoretical and practical underpinnings to Boisot's book Knowledge Assets (OUP, 1998). Following an introductory chapter, how knowledge relates to data and information is first examined in chapter 1, and how different economic actors - entrepreneurs, managers, etc - use knowledge as a basis for action is explored in chapter 2. Chapter 3 looks at how the heterogeneity of economic actors arises naturally from their respective data processing strategies in spite of any similarities in the data that they might share. Chapter 4 argues, contra much transaction-based economics, that an organizational order must have preceded a market order, something that should be reflected in any knowledge-based theory of the firm. Chapter 5 discusses the cultural and institutional significance of different kinds of knowledge flows. Finally, chapter 6 presents an agent-based simulation model, SimISpace, that illustrates how the I-Space might be applied to concrete problems such those of intellectual property rights. A concluding chapter proposes a research agenda based on the theorizing developed in the book. The approach the book sets out is used by a whole range of organizations to issues of knowledge management, policy, economics, and organizational and cultural change.
After twenty-five years of preparation, the Large Hadron Collider at CERN, Geneva, is finally running its intensive scientific experiments into high-energy particle physics. These experiments, which have so captured the public's imagination, take the world of physics to a new energy level, the terascale, at which elementary particles are accelerated to one millionth of a percent of the speed of light and made to smash into each other with a combined energy of around fourteen trillion electron-volts. What new world opens up at the terascale? No one really knows, but the confident expectation is that radically new phenomena will come into view. The kind of 'big science' being pursued at CERN, however, is becoming ever more uncertain and costly. Do the anticipated benefits justify the efforts and the costs? This book aims to give a broad organizational and strategic understanding of the nature of 'big science' by analyzing one of the major experiments that uses the Large Hadron Collider, the ATLAS Collaboration. It examines such issues as: the flow of 'interlaced' knowledge between specialist teams; the intra- and inter-organizational dynamics of 'big science'; the new knowledge capital being created for the workings of the experiment by individual researchers, suppliers, and e-science and ICTs; the leadership implications of a collaboration of nearly three thousand members; and the benefits for the wider societal setting. This book aims to examine how, in the face of high levels of uncertainty and risk, ambitious scientific aims can be achieved by complex organizational networks characterized by cultural diversity, informality, and trust - and where 'big science' can head next.
The author lays the foundations for a new political economy of information. He proposes a radical shift in the way that we approach the emerging information age and the implications it holds for societies, organizations and individuals.
After twenty-five years of preparation, the Large Hadron Collider at CERN, Geneva, is finally running its intensive scientific experiments into high-energy particle physics. These experiments, which have so captured the public's imagination, take the world of physics to a new energy level, the terascale, at which elementary particles are accelerated to one millionth of a percent of the speed of light and made to smash into each other with a combined energy of around fourteen trillion electron-volts. What new world opens up at the terascale? No one really knows, but the confident expectation is that radically new phenomena will come into view. The kind of 'big science' being pursued at CERN, however, is becoming ever more uncertain and costly. Do the anticipated benefits justify the efforts and the costs? This book aims to give a broad organizational and strategic understanding of the nature of 'big science' by analyzing one of the major experiments that uses the Large Hadron Collider, the ATLAS Collaboration. It examines such issues as: the flow of 'interlaced' knowledge between specialist teams; the intra- and inter-organizational dynamics of 'big science'; the new knowledge capital being created for the workings of the experiment by individual researchers, suppliers, and e-science and ICTs; the leadership implications of a collaboration of nearly three thousand members; and the benefits for the wider societal setting. This book aims to examine how, in the face of high levels of uncertainty and risk, ambitious scientific aims can be achieved by complex organizational networks characterized by cultural diversity, informality, and trust - and where 'big science' can head next.
In this book the author lays the foundations for a new political economy of information. The information space, or I-Space is the conceptual framework in which organizations, institutions and cultures are being transformed by new information and communication technologies. In the penultimate chapter, the I-Space’s usefulness as an explanatory framework is illustrated with an application: a case study of China’s modernization. Information Space proposes a radical shift in the way that we approach the emerging information age and the implications it holds for societies, organizations and individuals.
It is now widely recognized that the effective management of knowledge assets is a key requirement for securing competitive advantage in the emerging information economy. Yet the physical and institutional differences between tangible assets and knowledge assets remain poorly understood. In the case of knowledge, the ownership and control of assets are becoming ever more separate, a phenomenon that is actually exacerbated by the phenomenon of learning. If we are to meet the challenges of the information economy, then we need a new approach to property rights based on a deeper theoretical understanding of knowledge assets. Max Boisot writes clearly and in accessible language providing some of the key building blocks which are needed for a theory of knowledge assets. He develops a powerful conceptual framework, the Information-Space or I-Space, for exploring the way knowledge flows within and between organizations. This framework will enable managers and students to explore and understand how knowledge and information assets differ from physical assets, and how to deal with them at a strategic level within their organizations.
With the rise of the knowledge economy, the knowledge content of goods and services is going up just as their material content is declining. Economic value is increasingly seen to reside in the former - that is, in intangible assets - rather than in the latter. Yet we keep wanting to turn knowledge back into something tangible, something with definite boundaries which can be measured, manipulated, appropriated, and traded. In short, we want to reify knowledge. Scholars have been debating the nature of knowledge since the time of Plato. Many new insights have been gained from these debates, but little theoretical consensus has been achieved. Through six thematically linked chapters, the book articulates the theoretical approach to the production and distribution of knowledge that underpins Max Boisot's conceptual framework, the Information Space or I-Space. In this way the book looks to provide theoretical and practical underpinnings to Boisot's book Knowledge Assets (OUP, 1998). Following an introductory chapter, how knowledge relates to data and information is first examined in chapter 1, and how different economic actors - entrepreneurs, managers, etc - use knowledge as a basis for action is explored in chapter 2. Chapter 3 looks at how the heterogeneity of economic actors arises naturally from their respective data processing strategies in spite of any similarities in the data that they might share. Chapter 4 argues, contra much transaction-based economics, that an organizational order must have preceded a market order, something that should be reflected in any knowledge-based theory of the firm. Chapter 5 discusses the cultural and institutional significance of different kinds of knowledge flows. Finally, chapter 6 presents an agent-based simulation model, SimISpace, that illustrates how the I-Space might be applied to concrete problems such those of intellectual property rights. A concluding chapter proposes a research agenda based on the theorizing developed in the book. The approach the book sets out is used by a whole range of organizations to issues of knowledge management, policy, economics, and organizational and cultural change.
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