Data New Technologies And Global Imbalances

We are familiar with the idea that technology is neutral, and that its impact depends only on how it is used. This traditional view has, however, become untenable. Because of its nature and its complex interplay with industry, the economy, and society, technology is no longer neutral. This change is being driven by the pervasiveness of data, which today are generated everywhere at an unpreceded pace because several technologies are currently reaching maturity. Data shape the world around us, in a trend that is commonly referred to as “digitalization”. This trend is apparent in every aspect of our lives, ranging from our personal environment and health to transportation, energy generation and management, and industry. Digitalization itself generates value, enabling the creation of new products and services. It also fosters technological and business innovation in other fields, including the manufacturing industry, and acts as a lever with which to promote growth. Digitalization, however, also creates imbalances, and this happens due to its very nature. Such imbalances appear between different parts of the globe and within individual geographical spaces. This book explores the multiplicity of mechanisms associated with the growing role that technology and data are playing in the creation of imbalances, and goes on to identify certain paths that lead toward mitigation. Should we make data publicly accessible, and in a transparent way? How can policymakers empower governments to address global and local imbalances, particularly those generated by technology and data? Do we need a global data-governance structure that—like the World Trade Organization for commerce—regulates data use and access?

Our lives are changing today, but what is the single most important factor driving these changes? This question is crucial, because attempting to answer it can guide us to an understanding of the processes that are impacting our societies. The answer will, of course, come from the historians of the future, but there is already no doubt that the advent of data is behind a radical shake-up of our way of living. Monetary assets, infrastructure, equipment, and human labor all allow wealth to be created. Data does too, and it is reasonable to consider a new production factor in this regard: data capital. This book argues that this new production factor generates innumerable economic opportunities of a nature unthought of a mere twenty years ago. These opportunities have led to the creation of a new social class composed of two subclasses: data workers and data owners. The emergence of this new class repositions existing classes, including the traditional working class and the capitalist class, creating strong divergences that threaten social cohesion. What can we do to ensure cohesion and the proper functioning of society? The book argues for the establishment of a regulatory framework and the institutions necessary if we are to open data up and, where appropriate, exchange and trade it, all on a global scale. In this regard, the state—today still playing its traditional role of framework setter, and savior when crises loom—can become an active economic player, thus creating wealth for communities.

The technological revolution has reached around the world, with important consequences for business, government, and the labor market. Computer-aided design, telecommunications, and other developments are allowing small players to compete with traditional giants in manufacturing and other fields. In this volume, 16 engineering and industrial experts representing eight countries discuss the growth of technological advances and their impact on specific industries and regions of the world. From various perspectives, these distinguished commentators describe the practical aspects of technology's reach into business and trade.

"The ongoing COVID-19 pandemic marks the most significant, singular global disruption since World War II, with health, economic, political, and security implications that will ripple for years to come." -Global Trends 2040 (2021) Global Trends 2040-A More Contested World (2021), released by the US National Intelligence Council, is the latest report in its series of reports starting in 1997 about megatrends and the world's future. This report, strongly influenced by the COVID-19 pandemic, paints a bleak picture of the future and describes a contested, fragmented and turbulent world. It specifically discusses the four main trends that will shape tomorrow's world: - Demographics-by 2040, 1.4 billion people will be added mostly in Africa and South Asia. - Economics-increased government debt and concentrated economic power will escalate problems for the poor and middleclass. - Climate-a hotter world will increase water, food, and health insecurity. - Technology-the emergence of new technologies could both solve and cause problems for human life. Students of trends, policymakers, entrepreneurs, academics, journalists and anyone eager for a glimpse into the next decades, will find this report, with colored graphs, essential reading.

It is vitally important for businesses to have a holistic understanding of the many issues surrounding and shaping sustainability, from competitors to government and political factors, to economics and ecological science. This integrated textbook for MBA and senior-level undergraduates offers a comprehensive overview of the issues of sustainability as they relate to business and influence corporate strategy. It also features a wide range of cases and an extensive discussion of tools to incorporate sustainability issues into strategic decision making, helping instructors and students to build and then apply a solid understanding of sustainability in business.

This book presents cutting-edge research and exploration of the role of nation-state when big tech firms present themselves as new participants in contemporary international relations that act on an equal footing with nation-states. The general research goal of this book is to identify the justifications that nation-states have adopted to regulate the big tech firms and the impacts of this process on international trade in the main economies in the world. With the massive instrumentation of data, big tech firms have become actors with the capacity to intervene not only in economies but also, above all, in the politics of different countries with different systems. The emergence of big tech firms has transformed the approach to the concepts of national security, information management and access to new technologies among nation-states. The principles and fundamentals of cyber sovereignty have become one of the bases of states in the contemporary system of international relations. Today, the influence of big tech firms in different societies in the contemporary world is one of the main forms of power. This book tries to collect and present the recent state of the art in studies on the relationship between big tech firms and nation-states in the literature. It also addresses how governments such as those of the US, China and the EU are changing their legislation, creating control and data security mechanisms, imposing entry restrictions on foreign companies, and regulating the actions beyond the cloud of big tech firms inside and outside their borders.

Technological innovation is a core aspect of corporate and national competitiveness and it is not only complex—requiring cooperation and coordination among many stakeholders—but it also involves high risk due to uncertainty. Financial markets are a key to successful technological innovation. This book looks at how traditional financing and non-traditional ones transform corporate innovation strategy. This book reviews Korean companies to illustrate the impact of financialization on technological innovation through the relationships among financialization, managerial myopia and short-termism of innovation strategy. It does so by conducting an empirical study using Korean firm and USPTO data from the period of 1980 to 2017. By analyzing the innovation capabilities of Korean companies and presenting indicators of technological competitiveness, it offers insights into how financialization has influenced organizational behaviour, causing them to shift strategy formulation, decision making for production, investment and technological innovation away from a long-term perspective to short-term one. This concise book will be of interest to those interested in strategy and entrepreneurship innovation, especially policy makers focusing on financialization or national level innovation strategies.

Over the last two decades, researchers are looking at imbalanced data learning as a prominent research area. Many critical real-world application areas like finance, health, network, news, online advertisement, social network media, and weather have imbalanced data, which emphasizes the research necessity for real-time implications of precise fraud/defaulter detection, rare disease/reaction prediction, network intrusion detection, fake news detection, fraud advertisement detection, cyber bullying identification, disaster events prediction, and more. Machine learning algorithms are based on the heuristic of equally-distributed balanced data and provide the biased result towards the majority data class, which is not acceptable considering imbalanced data is omnipresent in real-life scenarios and is forcing us to learn from imbalanced data for foolproof application design. Imbalanced data is multifaceted and demands a new perception using the novelty at sampling approach of data preprocessing, an active learning approach, and a cost perceptive approach to resolve data imbalance. Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance offers new aspects for imbalanced data learning by providing the advancements of the traditional methods, with respect to big data, through case studies and research from experts in academia, engineering, and industry. The chapters provide theoretical frameworks and the latest empirical research findings that help to improve the understanding of the impact of imbalanced data and its resolving techniques based on data preprocessing, active learning, and cost perceptive approaches. This book is ideal for data scientists, data analysts, engineers, practitioners, researchers, academicians, and students looking for more information on imbalanced data characteristics and solutions using varied approaches.