Economists examine the genesis of technological change and the ways we commercialize and diffuse it. The economics of property rights and patents, in addition to industry applications, are also surveyed through literature reviews and predictions about fruitful research directions. Two volumes, available as a set or sold separately - Expert articles consider the best ways to establish optimal incentives in technological progress - Science and innovation, both their theories and applications, are examined at the intersections of the marketplace, policy, and social welfare - Economists are only part of an audience that includes attorneys, educators, and anyone involved in new technologies

This book presents unique insights and advice on defining and managing the innovation transformation journey. Using novel ideas, examples and best practices, it empowers management executives at all levels to drive cultural, technological and organizational changes toward innovation. Covering modern innovation techniques, tools, programs and strategies, it focuses on the role of the latest technologies (e.g., artificial intelligence to discover, handle and manage ideas), methodologies (including Agile Engineering and Rapid Prototyping) and combinations of these (like hackathons or gamification). At the same time, it highlights the importance of culture and provides suggestions on how to build it. In the era of AI and the unprecedented pace of technology evolution, companies need to become truly innovative in order to survive. The transformation toward an innovation-led company is difficult – it requires a strong leadership and culture, advanced technologies and well-designed programs. The book is based on the author’s long-term experience and novel ideas, and reflects two decades of startup, consulting and corporate leadership experience. It is intended for business, technology, and innovation leaders.

Increasingly, business leaders and managers recognize that machine learning offers their companies immense opportunities for competitive advantage. But most discussions of machine learning are intensely technical or academic, and don't offer practical information leaders can use to identify, evaluate, plan, or manage projects. Deploying Machine Learning fills that gap, helping them clarify exactly how machine learning can help them, and collaborate with technologists to actually apply it successfully. You'll learn: What machine learning is, how it compares to "big data" and "artificial intelligence," and why it's suddenly so important What machine learning can do for you: solutions for computer vision, natural language processing, prediction, and more How to use machine learning to solve real business problems -- from reducing costs through improving decision-making and introducing new products Separating hype from reality: identifying pitfalls, limitations, and misconceptions upfront Knowing enough about the technology to work effectively with your technical team Getting the data right: sourcing, collection, governance, security, and culture Solving harder problems: exploring deep learning and other advanced techniques Understanding today's machine learning software and hardware ecosystem Evaluating potential projects, and addressing workforce concerns Staffing your project, acquiring the right tools, and building a workable project plan Interpreting results -- and building an organization that can increasingly learn from data Using machine learning responsibly and ethically Preparing for tomorrow's advances The authors conclude with five chapter-length case studies: image, text, and video analysis, chatbots, and prediction applications. For each, they don't just present results: they also illuminate the process the company undertook, and the pitfalls it overcame along the way.

Innovation has shaped society since civilization began. Imperial China was the most innovative society on earth, but it failed to join the 19th century industrial revolution. In the 20th century, the Communist Party of China addressed that failure. Today China boasts an internationally compliant, rapidly developing IP system. State planning continues to be critical as the case of the largest, single, technology acquisition and infrastructure project in world history, high speed rail, demonstrates. But most of the innovation in China comes from the private sector: government incubators are among the government stimuli of private initiative, both local and global. And as the case on Cisco shows, foreign MNCs management of innovation in China is attractive but must involve co-ordination with government policy.This book presents cases where managers determine policy in China's increasingly innovative society. Readers take the roles of decision-makers to make strategy decisions. The cases in this volume showcase China's traditional three teachings, socialist market institutions, and modern management using studies on current Chinese companies and their leaders, among them big names such as Haier and Huawei. Each case stands alone as teaching material for instructors. Taken together, the book presents evolving models of innovation. Their subtle differences from western constructs critically impact the development of our global society.

Technological progress is a major factor chaping economic growth. Today's standard of living is a direct result of scientific advances and technical change in the past. Since uncontrolled technological progress has become amenace to our well being and may actually threat our survival, it is necessary to learn to manage technological progress and direct innovative activities in such a manner that both private wants and social needs playa dominant role in determining the rate and direction of technical change. This requires a better understanding of the processes of technical change, of their impact on and interrelationships with economic and social developments and of the means and measures by which both individuals and governments can influence and direct technological progress. To this end, the Ninistry for Research and Technology of the Federal Republ ic of Germany and the National Science Foundation of the Uni ted States of America invited a group of scholars, corporate managers and civil servants to a one week seminar on "Technolo gical Innovation". The seminar took place in April, 1976, in Bonn, Federal Republ ic of Germany. Most papers presented at this meeting were specifically prepared for the seminar. With this volume, they are made available to a larger audience to further stimulate discussion not only among scholars interested in innovation research and technology policy questions but also among managers, union officials, civil ser vants and others directly or indirectly concerned with and affected by technical change.