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.
The interrelations of science and technology as an object of study seem to have drawn the attention of a number of disciplines: the history of both science and technology, sociology, economics and economic history, and even the philosophy of science. The question that comes to mind is whether the phenomenon itself is new or if advances in the disciplines involved account for this novel interest, or, in fact, if both are intercon nected. When the editors set out to plan this volume, their more or less explicit conviction was that the relationship of science and technology did reveal a new configuration and that the disciplines concerned with 1tS analysis failed at least in part to deal with the change because of conceptual and methodological preconceptions. To say this does not imply a verdict on the insufficiency of one and the superiority of any other one disciplinary approach. Rather, the situation is much more complex. In economics, for example, the interest in the relationship between science and technology is deeply influenced by the theoretical problem of accounting for the factors of economic growth. The primary concern is with technology and the problem is whether the market induces technological advances or whether they induce new demands that explain the subsequent diffusion of new technologies. Science is generally considered to be an exogenous factor not directly subject to market forces and, therefore, appears to be of no interest.
This volume consitutes a summary of several years' multi-disciplinary research by a group of Swedish researchers. The project 'Sweden's Technological Systems and Future Development Potential' was initiated by the Swedish National Board for Industrial and Technical Development (NUTEK) and has been carried out at the Department of Industrial Management and Economics at Chalmers University of Technology in Gothenburg, the Research Policy Institute at the University of Lund, the Industrial Institute for Economic and Social Research (lUI) in Stockholm, and the Department of Industrial Economics and Management at the Royal Insitute of Technology, Stockholm, under the direction of Bo Carlsson, Case Western Reserve University, Cleveland, Ohio. The project group decided early on to focus fIrst on the technological system for factory automation - a relatively mature system of great importance to Swedish industry and in which Sweden has reached a leading position internationally - and then to shift the attention to other systems in various stages of development and with varying Swedish strength. The work on factory automation resulted in numerous papers and publications, summarized in a volume published in 1995 (Technological Systems and Economic Performance: The Case of Factory Automation, ed. Bo Carlsson. Dordrecht.
Technological Revolutions and Financial Capital presents a novel interpretation of the good and bad times in the economy, taking a long-term perspective and linking technology and finance in an original and convincing way.
Jorg Bensinger, a group head of Audi corporation's R&D depart ment, had been waiting for long to find a chance to advertise his idea of a four-wheel drive for passenger cars to one of the board mem bers. Favorable experiences had been collected in drive tests with the lItis, a jeep-like car developed for use in the German army. The ex periences showed extremely good performance on icy roads and in snow. Bensinger's chance came in February of 1977, when he could talk to Ferdinand Piech, then R&D vice president of Audi and a technology buff. At this time Audi wasn't quite considered as a tech nological leader in the public. Technology based innovations were expected from Mercedes or Porsche by many customers. Piech, Ben singer, and others sensed that introducing the four-wheel drive to passenger cars could initiate a strategic change. Under great secrecy development work and prototype construction were commissioned. One obstacle seemed to be space requirements for the gear-box. Hans Nedvidek, former race-track engineer in the Mercedes team, was assigned to the team, and he developed an ingenious solution to the problem. It took until September of 1977 until other board mem bers were informed, and after some rallying the board found a con sensus in the next month to authorize further development steps for a four-wheel drive car. However, Audi is a subsidiary of Volkswagen Corp. The accord of the much bigger mother had to be secured.
This volume presents a comprehensive assessment of the economic effects of the emerging information and communication technologies associated with a knowledge-based economy, and looks at how knowledge is increasingly treated as a product in its own right. An original framework is developed to comprehend these fundamental shifts, based on three bodies of knowledge: * the economics of path dependence and of historical time as they are elaborated in the economics of new technologies * economic topology based on the methodology of network analysis * the new economics of knowledge and the concept of localized technological change This book provides a unified analytical framework for the study of the transition of advanced economic systems towards a knowledge-based economy.
I think this book is a great achievement. It is packed with useful information and thought-provoking analysis and discussion. The work on technological development is, especially, a very valuable original contribution to the work in this field. The book illuminates the technological trajectory so often ignored by economists, but which underlies Schumpeter s "clusters" of innovations, and the emphasis on trunk innovations and analysis of their role is of particular interest. Christopher Freeman, SPRU Science and Technology Policy Research, University of Sussex, UK and Maastricht University, The Netherlands This pathbreaking book addresses the economics of technological change as revealed by a unique methodology that uncovers the true nature of technological development. Masaaki Hirooka bases this new approach to the economics of technological change on the recognition of the nonlinear dynamic nature of innovation. In order to provide a richer understanding of technological development, the book focuses on the period of innovation prior to market launch, grounding the analysis within a distinct innovation paradigm. This is expressed using three logistic trajectories technology, development and diffusion which make it possible to interpret and better understand technology foresight, infrastructure formation, long business cycles and national innovation systems. The author emphasizes the importance of the timing of innovation commitment, knowledge transfer between and within these trajectories, and the evolutionary character of innovation. Those with an interest in economics, macroeconomics, technological change and evolutionary economics will find this book to be a highly stimulating and fascinating read.
Industrial transformation is a research and teaching field with a focus on the phenomenon and mechanisms of industrial development and renewal. It concerns changes in economic activities caused by innovation, competition and collaboration, and has a rich heritage of evolutionary economics, institutional economics, industrial dynamics, technology history and innovation studies. It borrows concepts and models from the social sciences (sociology, history, political sciences, business/management, economics, behavioural sciences) and also from technology and engineering studies. In this book, the authors present the key theories, frameworks and concepts of industrial transformation and use empirical cases to describe and explain the causes, processes and outcomes of transformation in the context of digitalization and sustainability. They stress that industrial transformation consists both of Darwinian "survival of the fittest" selection, and of intentional pursuits of innovation, and of industrial capabilities creation. The work argues that managing the global trends of transformation is not only about new technology and innovation: existing institutional settings and dynamic interactions between technological change, organizational adaptation and economic activities also have a profound impact on future trajectories. The areas under investigation are of great relevance for strategic management decisions and industrial and technology policies, and understanding the mechanisms underlying transformation and sustainable growth.
In developing this model, Utterback examines industries over long periods of time to discover patterns in the way innovation is introduced, adopted, and then replaced by yet further innovation.