Science and technology have become increasingly intertwined in the twentieth century. However, little attention has been paid to the forces that have brought about this condition. Indeed, many scholars have taken it simply for granted that causality always runs from science to technology. In this groundbreaking book, Rosenberg's research suggests that history and extensive empirical evidence lead to a reality that is far more complex as well as far more interesting. Here, Rosenberg's papers explore a wide range of pertinent issues, especially those connected with the innovative process, including the realms of electric power, electronics, chemicals, aircraft, medicine, instrumentation and, in particular, higher education and the organization of research activities.

Science and technology have become increasingly intertwined in the twentieth century. However, little attention has been paid to the forces that have brought about this phenomena. Indeed, many writers have taken it for granted that causality always runs from science to technology. In this ground-breaking book, Rosenberg's research suggests that history and empirical evidence lead to a reality that is far more complex and interesting. Here, Rosenberg's papers cover a wide range of topics, especially those connected with the innovative process, including electric power, electronics, medicine, chemistry, engineering disciplines, scientific instrumentation, industrial research, and universities considered as economic institutions.

In 1903 the Wright brothers' airplane travelled a couple of hundred yards. Today fleets of streamlined jets transport millions of people each day to cities worldwide. Between discovery and application, between invention and widespread use, there is a world of innovation, of tinkering, improvement and adaptation. This is the world David Mowery and Nathan Rosenberg map out in Paths of Innovation, a tour of the intersecting routes of technological change. Throughout their book, Mowery and Rosenberg demonstrate that the simultaneous emergence of new engineering and applied science disciplines in the universities, in tandem with growth in the Research and Development industry and scientific research, has been a primary factor in the rapid rate of technological change. Innovation and incentives to develop new, viable processes have led to the creation of new economic resources - which will determine the future of technological innovation and economic growth.

The process of technological change takes a wide variety of forms. Propositions that may be accurate when referring to the pharmaceutical industry may be totally inappropriate when applied to the aircraft industry or to computers or forest products. The central theme of Nathan Rosenberg's new book is the idea that technological changes are often 'path dependent', in the sense that their form and direction tend to be influenced strongly by the particular sequence of earlier events out of which a new technology has emerged. The book advances the understanding of technological change by explictly recognising its essential diversity and path-dependent nature. Individual chapters explore the particular features of new technologies in different historical and sectoral contexts. This book presents a unique account of how technological change is generated and the processes by which improved technologies are introduced.

This volume offers contributions to questions relating to the economics of innovation and technological change. Central to the development of new technologies are institutional environments and among the topics discussed are the roles played by universities and the ways in which the allocation of funds affects innovation.

Technology's contribution to economic growth and competitiveness has been the subject of vigorous debate in recent years. This book demonstrates the importance of a historical perspective in understanding the role of technological innovation in the economy. The authors examine key episodes and institutions in the development of the U.S. research system and in the development of the research systems of other industrial economies. They argue that the large potential contributions of economics to the understanding of technology and economic growth have been constrained by the narrow theoretical framework employed within neoclassical economies. A richer framework, they believe, will support a more fruitful dialogue among economists, policymakers, and managers on the organization of public and private institutions for innovation. David Mowery is Associate Professor of Business and Public Policy at the School of Business Administration, University of California, Berkeley. Nathan S. Rosenberg is Fairleigh Dickinson Professor of Economics at Stanford University. He is the author of Inside the Black Box: Technology and Economics (CUP, 1983).

Explores Schumpeter's views as an economist who was, long ago, committed to the notion of the endogeneity of technology.

The book comprises a series of contributions and case studies fused together around the concept and dynamics of innovation – product, process, systems, marketing, organisation, roles, relations, norms, values and policy. The underlying theme is innovation as necessarily transformative, where the transformation is in the economic system for a better world. That better world is one that is inclusive, efficient and meets the global challenges. To that end the tools of innovation, measurement (effects vis-à-vis outcomes) and the enabling financial mechanisms are examined, evaluated and change is explored.

This volume presents techniques and theories drawn from mathematics, statistics, computer science, and information science to analyze problems in business, economics, finance, insurance, and related fields. The authors present proposals for solutions to common problems in related fields. To this end, they are showing the use of mathematical, statistical, and actuarial modeling, and concepts from data science to construct and apply appropriate models with real-life data, and employ the design and implementation of computer algorithms to evaluate decision-making processes. This book is unique as it associates data science - data-scientists coming from different backgrounds - with some basic and advanced concepts and tools used in econometrics, operational research, and actuarial sciences. It, therefore, is a must-read for scholars, students, and practitioners interested in a better understanding of the techniques and theories of these fields.

This book constitutes selected papers from the 19th European, Mediterranean, and Middle Eastern Conference, EMCIS 2022, which was held virtually during December 7-8, 2022. EMCIS covers technical, organizational, business, and social issues in the application of information technology and is dedicated to the definition and establishment of Information Systems (IS) as a discipline of high impact for IS professionals and practitioners. It focuses on approaches that facilitate the identification of innovative research of significant relevance to the IS discipline following sound research methodologies that lead to results of measurable impact. The 47 papers presented in this volume were carefully reviewed and selected from a total of 136 submissions. They were organized in topical sections named: Artificial intelligence; big data and analytics; blockchain technology and applications; cloud computing; digital governance; digital services and social media; emerging computing technologies and trends for business process management; enterprise systems; information system security and information privacy protection; innovative research projects; IT governance and alignment; management and organizational issues in information systems; and metaverse.