Palgrave Advances in the Economics of Innovation and Technology – serie

This book presents detailed case studies of the first commercial internet digital currency systems developed between 1996 and 2004. Transactions completed with the new technology circumvented all US financial regulations, an opening that transnational criminals exploited. Mullan explains how an entire industry of companies, agents, and participants turned a blind eye to crimes being committed in this unsupervised environment. He then tracks the subsequent changes made to US regulations that now prevent such unlicensed activity, illustrating the importance of supervising products and industries that arise from new disruptive technology. This book distills hundreds of hours of interviews with the creators and operators of early digital currency businesses to create detailed case studies of their practices.

This edited volume presents new means of quantifying the behavioral and consequential differences between technology-based and non-technology-based nascent entrepreneurs in varied economies. It explores the socioeconomic place of technology in developed and developing countries, and describes the implications of this research for policymakers' ability to identify and support new areas of economic growth. This book also examines technology-based nascent entrepreneurship issues in the context of entrepreneurial leadership, business incubation, ethnic migrants, university researchers, new venture formation activities, student entrepreneurship, and start-up competitions. The contributors to this collection provide valuable insights for the growing study of and expanding policies addressing nascent entrepreneurship.

This book presents detailed case studies of the first commercial internet digital currency systems developed between 1996 and 2004. Transactions completed with the new technology circumvented all US financial regulations, an opening that transnational criminals exploited. Mullan explains how an entire industry of companies, agents, and participants turned a blind eye to crimes being committed in this unsupervised environment. He then tracks the subsequent changes made to US regulations that now prevent such unlicensed activity, illustrating the importance of supervising products and industries that arise from new disruptive technology. This book distills hundreds of hours of interviews with the creators and operators of early digital currency businesses to create detailed case studies of their practices.

In recent years a global network of science has emerged as a result of thousands of individual scientists seeking to collaborate with colleagues around the world, creating a network which rises above national systems. The globalization of science is part of the underlying shift in knowledge creation generally: the collaborative era in science. Over the past decade, the growth in the amount of knowledge and the speed at which it is available has created a fundamental shift—where data, information, and knowledge were once scarce resources, they are now abundantly available. Collaboration, openness, customer- or problem-focused research and development, altruism, and reciprocity are notable features of abundance, and they create challenges that economists have not yet studied. This book defines the collaborative era, describes how it came to be, reveals its internal dynamics, and demonstrates how real-world practitioners are changing to take advantage of it. Most importantly, the book lays out a guide for policymakers and entrepreneurs as they shift perspectives to take advantage of the collaborative era in order to create social and economic welfare.

This book is the first collection of scholarly writings on science and technology parks (STPs) that has an international perspective. It explores concrete ways to systematically collect information on public and private organizations related to their support of and activities in STPs, including incubation to start-up and scale-up, and collaborations with centers of knowledge creation. Rather than perpetuate the qualitative assessment of successful practices, the focus of this book is to present quantitative and qualitative evidence of the impact of STPs on regional development and to raise awareness on the importance of systematic data collection and analysis. Only through a systematic collection of data on fiscal identification numbers of companies, universities, and university spin-offs will it be possible to conduct current and especially future analyses on the impact of STPs on entrepreneurship, effectiveness of technology transfer, and regional economic development.  To this extent, the synergistic views of academics, representatives from STPs, and policy experts are crucial.

This book is the first collection of scholarly writings on science and technology parks (STPs) that has an international perspective. It explores concrete ways to systematically collect information on public and private organizations related to their support of and activities in STPs, including incubation to start-up and scale-up, and collaborations with centers of knowledge creation. Rather than perpetuate the qualitative assessment of successful practices, the focus of this book is to present quantitative and qualitative evidence of the impact of STPs on regional development and to raise awareness on the importance of systematic data collection and analysis. Only through a systematic collection of data on fiscal identification numbers of companies, universities, and university spin-offs will it be possible to conduct current and especially future analyses on the impact of STPs on entrepreneurship, effectiveness of technology transfer, and regional economic development.  To this extent, the synergistic views of academics, representatives from STPs, and policy experts are crucial.

This Palgrave Pivot identifies the key legal, economic, and policy issues surrounding the allowance to use and interpret electronic data consistently and in a scientifically valid manner in U.S. courts. Evidence based on the analysis of large amounts of electronic data ("Big Data") plays an increasing role in civil court disputes, providing information that could not have been obtained from a witness stand. While Big Data evidence presents opportunities, it also presents legal and public policy challenges and concerns. How can one be sure that deviations found in Big Data fall outside the norm? If statistical analyses can be conducted and presented different ways, how can judges and juries make sense of conflicting interpretations? When does Big Data extraction stop being investigative and instead become an invasion of privacy? This book traces the history of Big Data use in U.S. courts, couples current case studies with legal challenges to explore key controversies, and suggests how courts can change the way they handle Big Data to ensure that findings are statistically significant and scientifically sound.

This book is a comprehensive guide that explores the intersection of artificial intelligence and forecasting, providing the latest insights and trends in this rapidly evolving field. The book contains fourteen chapters covering a wide range of topics, including the concept of AI, its impact on economic decision-making, traditional and machine learning-based forecasting methods, challenges in demand forecasting, global forecasting models, meta-learning and feature-based forecasting, ensembling, deep learning, scalability in industrial and optimization applications, and forecasting performance evaluation. With key illustrations, state-of-the-art implementations, best practices, and notable advances, this book offers practical insights into the theory and practice of AI-based forecasting. This book is a valuable resource for anyone involved in forecasting, including forecasters, statisticians, data scientists, business analysts, or decision-makers.

This book is a comprehensive guide that explores the intersection of artificial intelligence and forecasting, providing the latest insights and trends in this rapidly evolving field. The book contains fourteen chapters covering a wide range of topics, including the concept of AI, its impact on economic decision-making, traditional and machine learning-based forecasting methods, challenges in demand forecasting, global forecasting models, meta-learning and feature-based forecasting, ensembling, deep learning, scalability in industrial and optimization applications, and forecasting performance evaluation. With key illustrations, state-of-the-art implementations, best practices, and notable advances, this book offers practical insights into the theory and practice of AI-based forecasting. This book is a valuable resource for anyone involved in forecasting, including forecasters, statisticians, data scientists, business analysts, or decision-makers.

This book focuses on the economic, political, and cultural factors that make up India’s “informal processors,” which are the highly networked, multi-generational systems that reuse, repurpose, and otherwise dispose of 80% of India’s electronic waste. The research includes insight from more than ninety interviews with forty-nine key stakeholders working within India’s e-waste processing industry. This vital resource explores the complexities of the e-waste industry, and it comprehensively explains the importance of developing context-specific solutions that leverage the inherent strengths of informal processors. The resulting resource offers a counterpoint to mainstream arguments that dismiss the value of expertise from informal processors.

This book focuses on the economic, political, and cultural factors that make up India’s “informal processors,” which are the highly networked, multi-generational systems that reuse, repurpose, and otherwise dispose of 80% of India’s electronic waste. The research includes insight from more than ninety interviews with forty-nine key stakeholders working within India’s e-waste processing industry. This vital resource explores the complexities of the e-waste industry, and it comprehensively explains the importance of developing context-specific solutions that leverage the inherent strengths of informal processors. The resulting resource offers a counterpoint to mainstream arguments that dismiss the value of expertise from informal processors.

There is a conspicuous void of analyses about the economic and policy analysis of heart disease research funding in the United States and in other countries. This book discusses the economic and policy dimensions of heart disease research—the leading cause of death in the United States and globally—and it provides a comprehensive overview of the contributions of the primary US funding agency for heart disease research, the National Heart, Lung, and Blood Institute (NHLBI) within the US National Institutes of Health (NIH). It offers policymakers metrics to evaluate the effectiveness of the US Small Business Innovation Research (SBIR) program—a key funding program within NHLBI. It includes information focused on health policy, reauthorizations of the NHLBI’s programs, and more. The resulting book provides a useful structure to help decision makers understand the use and allocation of resources that support health research.

This Palgrave Pivot explores how communication technology such as the Internet has changed the nature of trade, focusing especially on economy-wide reductions in company size (granularity) and the role of retailers (disintermediation). By increasing access to comparative data, influencing conceptions of time, and reducing the number of intermediaries between creator and consumer, technological connectivity is changing the very definition of competition. In the new network economy, disintermediation and granularity are turning cooperative information gathering and sharing into a vital market institution.To exemplify the effects of communication technology, Bhatt focuses on two markets with particularly powerful effects on the economy: labor and education, and CIME (communication, information services, media, and entertainment). Mobile connectivity is radically changing the extent, capabilities, and operations of these markets, both in terms of the servicesthey provide and how they interact with consumers. Bhatt also explores how these benefits intersect with new concerns about privacy and security when the line between public and private information is becoming ever more fluid.