You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
As firms increasingly rely on knowledge as a key factor for innovation, the ability to innovate is increasingly perceived as a key asset for being competitive in international markets. This new volume argues that innovation, knowledge and internationalisation should be viewed as tightly related concepts. It provides a stimulating and comprehensive framework for understanding key tendencies in modern economics, as well as an overview of the state of the art in the three fields covered. The first section explores in detail the relationship between knowledge and the innovative capability of firms, focussing on key topics such as social capital, intentional knowledge diffusion and unintentional knowledge spillovers. Section two examines the drivers and the impact of innovation strategies, assessing the role of technological advantage, networking and R & D investments in innovation, as well as the impact on innovation on the labour market. The third and final section examines the ongoing internationalisation process faced by ‘global’ economies. The topics explored in each section are tightly linked, ensuring that a strong thematic thread runs through the collection.
Despite the recent misfortunes of many dotcoms, e-commerce will have major and lasting effects on economic activity. But the rise and fall in the valuations of the first wave of e-commerce companies show that vague promises of distant profits are insufficient. Only business models based on sound economic propositions will survive. This book provides professionals, investors, and MBA students the tools they need to evaluate the wide range of actual and potential e-commerce businesses at the microeconomic level. It demonstrates how these tools can be used to assess a variety of existing applications. Advances in web-based technology--particularly automation and delegation technologies such as ...
This Handbook brings together the latest research on applied market design. It surveys matching markets: environments where there is a need to match large two-sided populations to one another, such as law clerks and judges or patients and kidney donors.
Game Theory And Decision Theory In Agent-Based Systems is a collection of papers from international leading researchers, that offers a broad view of the many ways game theory and decision theory can be applied in agent-based systems, from standard applications of the core elements of the theory to more cutting edge developments. The range of topics discussed in this book provide the reader with the first comprehensive volume that reflects both the depth and breadth of work in applying techniques from game theory and decision theory to design agent-based systems. Chapters include: Selecting Partners; Evolution of Agents with Moral Sentiments in an IPD Exercise; Dynamic Desires; Emotions and P...
This book uses perspectives of finance and banking to offer predictions on future financial crises, and how we can prepare for them.
An overview of the causes and consequences of speculative attacks on domestic currency and international financial turmoil. It provides a comprehensive treatment of the existing theories of exchange rate crises and of financial market runs.
In a period of planetary crisis, this book shows how large-scale change occurs in global environmental politics.
Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.
This is the first cross-over book into the history of science written by an historian of economics. It shows how 'history of technology' can be integrated with the history of economic ideas. The analysis combines Cold War history with the history of postwar economics in America and later elsewhere, revealing that the Pax Americana had much to do with abstruse and formal doctrines such as linear programming and game theory. It links the literature on 'cyborg' to economics, an element missing in literature to date. The treatment further calls into question the idea that economics has been immune to postmodern currents, arguing that neoclassical economics has participated in the deconstruction of the integral 'self'. Finally, it argues for an alliance of computational and institutional themes, and challenges the widespread impression that there is nothing else besides American neoclassical economic theory left standing after the demise of Marxism.