Technology is not an end in itself, but a way of satisfying human wants. It shows us how to solve the age-old economic problem of surviving and pros pering in a hard world. But to optimize the benefits of technological advance requires an understanding of how it happens. The purpose of this book is to provide some of that understanding. The subject is so enormous and so intertwined with every human activity that a small selection of it, and that from a special viewpoint, is inevitable. The selection of subject matter has been, of course, conditioned by what interests me and is somewhat heterogeneous. However, it is connected by two major themes. The first is that it emphasizes the dynamic nature of technology, in the sense that it must be approached as a process evolving in time that can often be described in quantitative terms. The second is that I have chosen topics that I believe are essential for a strategic sense of how to plan for, execute, and respond to technological change. These two themes complement each other because the strategic sense requires an appreciation of the dynamics and the dynamics naturally lead to a consideration of how to deal with technology so that it can be used to achieve human objectives. The unifying thought behind the book is that technological change has a systemic as well as an idiosyncratic aspect.

Measuring the Digital Transformation: A Roadmap for the Future provides new insights into the state of the digital transformation by mapping indicators across a range of areas – from education and innovation, to trade and economic and social outcomes – against current digital policy issues, as presented in Going Digital: Shaping Policies, Improving Lives.

In The Dynamics of Technical Innovation, Geert Duysters explores the evolution of complex industrial systems over time by examining technological and market developments in the computer, telecommunications and semiconductor industries. An integrated theoretical framework is developed by Professor Duysters to study the relationship between technological change, changing industry structures, and innovation strategies by several different categories of company. This is followed by an in-depth empirical analysis of technological convergence, strategic technology partnering and globalization - three major factors in the development of information technology over the past decade. The Dynamics of Technical Innovation is one of the first attempts to measure quantitatively the technological convergence process in information technology. Providing new insights on the internationalization of research and development, this analysis of recent and historical developments in the information technology industry which will be welcomed by scholars and practitioners interested in international business, technological change and innovation management.

Technology is taking on an increasingly central and determining role in so ciety, and can provide contradictory results: wealth on the one hand, but also unemployment, environmental imbalances and other social problems on the other. Manufacturing techniques and production organization are chosen in every country based mainly on the specific needs of the companies, while the real needs of each population are often quite different. Already, in order to prevent all forms of technology from becoming in creasingly "invasive", towards both the natural supply of resources and the specific - though highly differentiated - needs of humanity, technological paths must be identified and followed which are capable of making the vari ous needs compatible, from the standpoint of sustainable development, the conservation and increase in value of natural resources, and the quality of development. This will become increasingly important in the future. This goal is undoubtedly ambitious and difficult to achieve; however, evi dence of the problems caused by generalized, uncontrolled use of technolo gy, all over the world, leads us to believe that intense efforts must be made to achieve this aim. If not, humankind runs the risk of an irreversible degra dation of the most important aspects of economic development and its quali ty. Within this framework, those companies that produce goods and services obviously occupy a central, active role, which they must play with a view both to competitiveness and overall qualification and to contributing to the objectives of sustainable development.

Much is written in the popular literature about the current pace of technological change. But do we have enough scientific knowledge about the sources and management of innovation to properly inform policymaking in technology dependent domains such as energy and the environment? While it is agreed that technological change does not 'fall from heaven like autumn leaves,' the theory, data, and models are deficient. The specific mechanisms that govern the rate and direction of inventive activity, the drivers and scope for incremental improvements that occur during technology diffusion, and the spillover effects that cross-fertilize technological innovations remain poorly understood. In a work that will interest serious readers of history, policy, and economics, the editors and their distinguished contributors offer a unique, single volume overview of the theoretical and empirical work on technological change. Beginning with a survey of existing research, they provide analysis and case studies in contexts such as medicine, agriculture, and power generation, paying particular attention to what technological change means for efficiency, productivity, and reduced environmental impacts. The book includes a historical analysis of technological change, an examination of the overall direction of technological change, and general theories about the sources of change. The contributors empirically test hypotheses of induced innovation and theories of institutional innovation. They propose ways to model induced technological change and evaluate its impact, and they consider issues such as uncertainty in technology returns, technology crossover effects, and clustering. A copublication o Resources for the Future (RFF) and the International Institute for Applied Systems Analysis (IIASA).

The abundance of typologies, within the economics of innovation, has resulted in the same name being used for different innovation types and the same innovation being classified under different typologies. The present research introduces the Scale of Innovation Intensity (SIIN) based on metataxonomy that subsumes other, less comprehensive taxonomies. The SIIN is similar to the seismic Mercalli's scale used to measure the intensity of earthquakes. The impact of technological change is measured by an indicator, called magnitude, based on the impact of technological innovations on the economic system. The theory is applied to some product and process innovations such as agricultural mechanization, aircraft technology, muffler catalytic, aluminum processing, etc. The results show that some innovations have a higher technological intensity and energy (economic impact) on well-being than others. Some concluding remarks are discussed in the final part of this research.

While science and technology research, sources of funding, performance, incentives, and motivations for technology innovation activities are reasonably well understood by academics and policy makers, the complex process by which scientific results are exploited and transformed into new technologies through an innovation process is poorly documented and studied little. Technology Dynamics is dedicated to the complex activity of technology innovation, with the aim of describing how innovative ideas are generated and their transformation into new technologies. It is based on the idea that technology evolves continuously with time, is changed by innovations, and is characterized by a dynamic that is constituted by technological processes occurring in organizational structures, as well as during the use of technologies. The five chapters Discuss technological processes for innovation; Describe innovation within organizational structures; Offer information on interfacing of science and economic factors with technology; Suggest new statistical studies for innovation and new approaches for innovation policies; and Examine the contribution of technology dynamics to statistical studies and promotion of technology innovation. This book is aimed at managers developing strategies for technology innovation, researchers interested in exploiting scientific results for innovative ideas and new technologies, scholars and students studying the economics of innovation. The book would also of interest to private or public financiers of innovation and policy makers involved in economic growth strategy.

This volume deals with the dynamics of science-based innovation. The transfer of the latest scientific results to commercial innovation is of ever more importance today. This implies that competitiveness in modern technologies is no more the responsibility of the manufacturing industry alone, but involves a mutual dependence with the largely publicfinanced science institutions. The volume displays the state of the art in this interesting emerging research field between (economic) innovation research and the sociology of science. It is organized in three main parts. Advanced methodologies (patent analysis, bibliometrics, cluster analysis and cognitive cartography) are introduced in part I, whereas part II presents selected trends in the national structures of science and innovation. Here, two quite differing countries are highlighted: Japan and the former German Democratic Republic. Part III includes technology casestudies of science-based innovation in molecular beam epitaxy, laser medicine, polyimide plastics, fuel cells and factory automation. The eleven authors from various European countries and Japan arrive at conclusions and recommendations both for (public) science and innovation policy and industrial technology management.