Network economics is a new, rapidly developing field. In this volume theoretical and empirical contributions are collected, each deals with different aspects of the network economy. The book assesses networks as a complement to pure market relations and studies innovation networks and strategic alliances among innovative corporations. Product differentiation and specialization in reciprocal networks are emphasised as a strategy of sustainable development. The book presents econometric methods of barrier and network analysis, including communication and trade patterns.
Roman Beck presents a new goods classification model to explore the dissemination of IT and e-business standards and designs two applications that support and improve firms' electronic interlaced communication by means of automation and standardization effects. He then examines how network effects drive the diffusion of communication standards and develops a model which is implemented as a simulation to show the dynamic interplay between direct and indirect network effects during the diffusion process. It also addresses critical mass and life cycle issues, as well as related utility changes in communication standards.
In today's de-layered, knowledge-intensive organizations, most work of importance is heavily reliant on informal networks of employees within organizations. However, most organizations do not know how to effectively analyze this informal structure in ways that can have a positive impact on organizational performance. Networks in the Knowledge Economy is a collection of readings on the application of social network analysis to managerial concerns. Social network analysis (SNA), a set of analytic tools that can be used to map networks of relationships, allows one to conduct very powerful assessments of information sharing within a network with relatively little effort. This approach makes the invisible web of relationships between people visible, helping managers make informed decisions for improving both their own and their group's performance. Networks in the Knowledge Economy is specifically concerned with networks inside of organizations and addresses three critical areas in the study of social networks: Social Networks as Important Individual and Organizational Assets, Social Network Implications for Knowledge Creation and Sharing, and Managerial Implications of Social Networks in Organizations. Professionals and students alike will find this book especially valuable, as it provides readings on the application of social network analysis that reflect managerial concerns.
Networks pervade social and economic life, and they play a prominent role in explaining a huge variety of social and economic phenomena. Standard economic theory did not give much credit to the role of networks until the early 1990s, but since then the study of the theory of networks has blossomed. At the heart of this research is the idea that the pattern of connections between individual rational agents shapes their actions and determines their rewards. The importance of connections has in turn motivated the study of the very processes by which networks are formed. In Connections, Sanjeev Goyal puts contemporary thinking about networks and economic activity into context. He develops a general framework within which this body of research can be located. In the first part of the book he demonstrates that location in a network has significant effects on individual rewards and that, given this, it is natural that individuals will seek to form connections to move the network in their favor. This idea motivates the second part of the book, which develops a general theory of network formation founded on individual incentives. Goyal assesses the robustness of current research findings and identifies the substantive open questions. Written in a style that combines simple examples with formal models and complete mathematical proofs, Connections is a concise and self-contained treatment of the economic theory of networks, one that should become the natural source of reference for graduate students in economics and related disciplines.
This book builds on the idea that peer-to-peer infrastructures are gradually becoming the general conditions of work, economy, and society. Using a four-scenario approach, the authors seek to simplify possible outcomes and to explore relevant trajectories of the current techno-economic paradigm within and beyond capitalism.
Describes how patterns of information, knowledge, and cultural production are changing. The author shows that the way information and knowledge are made available can either limit or enlarge the ways people create and express themselves. He describes the range of legal and policy choices that confront.
The Oxford Handbook of the Economics of Networks represents the frontier of research into how and why networks they form, how they influence behavior, how they help govern outcomes in an interactive world, and how they shape collective decision making, opinion formation, and diffusion dynamics. From a methodological perspective, the contributors to this volume devote attention to theory, field experiments, laboratory experiments, and econometrics. Theoretical work in network formation, games played on networks, repeated games, and the interaction between linking and behavior is synthesized. A number of chapters are devoted to studying social process mediated by networks. Topics here include opinion formation, diffusion of information and disease, and learning. There are also chapters devoted to financial contagion and systemic risk, motivated in part by the recent financial crises. Another section discusses communities, with applications including social trust, favor exchange, and social collateral; the importance of communities for migration patterns; and the role that networks and communities play in the labor market. A prominent role of networks, from an economic perspective, is that they mediate trade. Several chapters cover bilateral trade in networks, strategic intermediation, and the role of networks in international trade. Contributions discuss as well the role of networks for organizations. On the one hand, one chapter discusses the role of networks for the performance of organizations, while two other chapters discuss managing networks of consumers and pricing in the presence of network-based spillovers. Finally, the authors discuss the internet as a network with attention to the issue of net neutrality.
Since the publication of the first edition of Network Economics: A Variational Inequality Approach in 1993, there have been many ad vances in both methodological developments, as well as, applications in this field. These have occurred in an environment of an increasingly networked global economy, in which the importance of transportation networks and communication networks is now well-recognized, with net works such as knowledge networks, environmental networks, and finan cial networks receiving growing attention. This edition adds recent research progress in new and evolving ar eas of network economics through common and unifying principles. In addition, it includes dynamic models of traffic, of spatially separated markets, of oligopolistic markets, and of financial markets. In order to expand the range and reach of this material, we have also included a series of problems in an appendix for self-study purposes and for use in the classroom. We note that computational economics has been at the forefront in stimulating the development of mathematical methodologies for the analysis and solution of complex, large-scale problems. The past fifteen years, in particular, have witnessed a dramatic growth of interest in this area. Supported by the increasing availability of data and by advances in computer architectures, the scale and dimensions of problems that can now be handled are unveiling new horizons in both theoretical modeling and policy analysis.
This book looks at how to build more resilience into socio-economic networks within local communities. Understanding the relationships between attachment to place, complex systems and patterns of knowledge creation is not straightforward, but these relationships are emerging as the challenges that we face in bridging the gap between the social worlds that we inhabit and an emerging digital world. These issues have been brought into even sharper focus through changes resulting from the COVID-19 pandemic. On the one hand, forced familiarity with communication technologies is driving globalisation forwards, whilst on the other, the crisis has created awareness of dependencies and heightened desires for more local solutions. Plenty of books have been written about the rise of digital networks and the decline of local communities. This book takes a radical approach by identifying how these trends fit together and provides examples of how digital networks can be made to work for the local as well as the global economy. Using a case study approach, the book offers a clear-sighted view of the role of relational capital in specific places and organisations and shows the transformational impact that they can have at a micro level. The book deliberately seeks to shake up preconceived ideas and is ideal for strategy practitioners and policy makers within governments and NGOs involved in connecting local to wider network economies.
Standards play a prominent role in systems characterized by interaction. In information systems, standards provide for compatibility and are a prerequisite for collaboration benefits. More generally speaking, standards constitute networks. In this work, a standardization framework based on an analysis of deficiencies of network effect theory and a game theoretic network equilibrium analysis is developed. Fundamental determinants of diffusion processes in networks (e.g. network topology, agent size, installed base) are identified and incorporated into a computer-based simulation model. As a result, typical network behaviour (specific diffusion patterns) can be explained and many findings from traditional network effect theory can be described as special cases of the model at particular parameter constellations (e.g. low price, high density). On this basis, solution strategies for standardization problems are developed, and a methodological path towards a unified theory of networks is proposed.
