This book pursues the questions from a broad range of law and economics perspectives. Digital transformation leads to economic and social change, bringing with it both opportunities and risks. This raises questions of the extent to which existent legal frameworks are still sufficient and whether there is a need for new or additional regulation in the affected areas: new demands are made on the law and jurisprudence.
Build a continuously learning and adapting organization that can extract increasing levels of business, customer and operational value from the amalgamation of data and advanced analytics such as AI and Machine Learning Key Features Master the Big Data Business Model Maturity Index methodology to transition to a value-driven organizational mindset Acquire implementable knowledge on digital transformation through 8 practical laws Explore the economics behind digital assets (data and analytics) that appreciate in value when constructed and deployed correctly Book Description In today's digital era, every organization has data, but just possessing enormous amounts of data is not a sufficient market discriminator. The Economics of Data, Analytics, and Digital Transformation aims to provide actionable insights into the real market discriminators, including an organization's data-fueled analytics products that inspire innovation, deliver insights, help make practical decisions, generate value, and produce mission success for the enterprise. The book begins by first building your mindset to be value-driven and introducing the Big Data Business Model Maturity Index, its maturity index phases, and how to navigate the index. You will explore value engineering, where you will learn how to identify key business initiatives, stakeholders, advanced analytics, data sources, and instrumentation strategies that are essential to data science success. The book will help you accelerate and optimize your company's operations through AI and machine learning. By the end of the book, you will have the tools and techniques to drive your organization's digital transformation. Here are a few words from Dr. Kirk Borne, Data Scientist and Executive Advisor at Booz Allen Hamilton, about the book: "Data analytics should first and foremost be about action and value. Consequently, the great value of this book is that it seeks to be actionable. It offers a dynamic progression of purpose-driven ignition points that you can act upon." What you will learn Train your organization to transition from being data-driven to being value-driven Navigate and master the big data business model maturity index Learn a methodology for determining the economic value of your data and analytics Understand how AI and machine learning can create analytics assets that appreciate in value the more that they are used Become aware of digital transformation misconceptions and pitfalls Create empowered and dynamic teams that fuel your organization's digital transformation Who this book is for This book is designed to benefit everyone from students who aspire to study the economic fundamentals behind data and digital transformation to established business leaders and professionals who want to learn how to leverage data and analytics to accelerate their business careers.
Global finance is in the middle of a radical transformation fueled by innovative financial technologies. The coronavirus pandemic has accelerated the digitization of retail financial services in Europe. Institutional interest and digital asset markets are also growing blurring the boundaries between the token economy and traditional finance. Blockchain, AI, quantum computing and decentralised finance (DeFI) are setting the stage for a global battle of business models and philosophies. The post-Brexit EU cannot afford to ignore the promise of digital finance. But the Union is struggling to keep pace with global innovation hubs, particularly when it comes to experimenting with new digital forms of capital raising. Calibrating the EU digital finance strategy is a balancing act that requires a deep understanding of the factors driving the transformation, be they legal, cultural, political or economic, as well as their many implications. The same FinTech inventions that use AI, machine learning and big data to facilitate access to credit may also establish invisible barriers that further social, racial and religious exclusion. The way digital finance actors source, use, and record information presents countless consumer protection concerns. The EU’s strategic response has been years in the making and, finally, in September 2020 the Commission released a Digital Finance Package. This special issue collects contributions from leading scholars who scrutinize the challenges digital finance presents for the EU internal market and financial market regulation from multiple public policy perspectives. Author contributions adopt a critical yet constructive and solutions-oriented approach. They aim to provide policy-relevant research and ideas shedding light on the complexities of the digital finance promise. They also offer solid proposals for reform of EU financial services law.
Addressing the big questions about how technological change is transforming economies and societies Rapid technological change—likely to accelerate as a consequence of the COVID-19 pandemic—is reshaping economies and how they grow. But change also causes disruption, creates winners and losers, and produces social stress. This book examines the challenges of digital transformation and suggests how creative policies can make it more productive and inclusive. Shifting Paradigms is the second book on technological change produced by a joint research project of the Brookings Institution and the Korea Development Institute. Contributors are experts from the United States, Europe, and Korea. The first volume, Growth in a Time of Change, was published by Brookings in February 2020. The book's underlying thesis is that the future is arriving faster than expected. Long-accepted paradigms about economic growth are changing as digital technologies transform markets and nearly every aspect of business and work. Change will only intensify with advances in artificial intelligence and other innovations. Investors, business leaders, workers, and public officials face many questions. Is rising market concentration inevitable with the new technologies or can their benefits be more widely shared? How can the promise of FinTech be captured while managing risks? Should workers fear the new automation? Are technology-driven shifts in business and work causing income inequality to rise? How should public policy respond? Shifting Paradigms addresses these questions in an engaging manner for anyone interested in understanding how the economic and social agenda is being transformed by today's winds of change.
Annotation Researchers, business people and policy makers have recognized the importance of addressing technological, economic and social impacts in conjunction. For example, the rise and fall of the dot-com hype depended on the strength of the business model, on the technological capabilities avalable to firms and on the readiness of the society and economy, at large, to sustain a new breed of business activity. Social and Economic Transformation in the Digital Era addresses this challenge by assembling the latest thinking of leading researchers and policy makers in key subject areas of the information society and presents innovative business models, case studies, normative theories and social explanations.
This book presents a comprehensive analysis of the alterations and problems caused by new technologies in all fields of the global digital economy. The impact of artificial intelligence (AI) not only on law but also on economics is examined. In the first part, the economics of AI are explored, including topics such as e-globalization and digital economy, corporate governance, risk management, and risk development, followed by a quantitative econometric analysis which utilizes regressions stipulating the scale of the impact. In the second part, the author presents the law of AI, covering topics such as the law of electronic technology, legal issues, AI and intellectual property rights, and legalizing AI. Case studies from different countries are presented, as well as a specific analysis of international law and common law. This book is a must-read for scholars and students of law, economics, and business, as well as policy-makers and practitioners, interested in a better understanding of legal and economic aspects and issues of AI and how to deal with them.
Innovations and developments in technology have laid the foundations for an economy based on digital goods and services—the digital economy. This book invites students and practitioners, to take an in-depth look at the impact that technological innovations such as social media, cryptocurrencies, crowdsourcing, and even online gaming is having on today’s business landscape. Learn about the various business models available for the digital economy, including the business models used by Bitcoin, Spotify, Wikipedia, World of Warcraft, Facebook, and Airbnb. This book details the evolution of contemporary economics within the digital stratosphere and highlights the complex ecosystem that makes up the field of digital economics. The foundational text with case studies is also peppered with anecdotes on the various technological innovations which have shaped markets throughout history. The authors provide several models and tools that are essential for analysis, as well as activities that will allow the reader to reflect, analyze, and apply the knowledge and tools presented in each chapter. Introduction to Digital Economics is a definitive guide to the complexities and nuances of this burgeoning and fascinating field of study.
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
Through a series of studies, the overarching aim of this book is to investigate if and how the digitalization/digital transformation process causes (or may cause) the autonomy of various labor functions, and its impact in creating (or stymieing) various job opportunities on the labor market. This book also seeks to illuminate what actors/groups are mostly benefited by the digitalization/digital transformation and which actors/groups that are put at risk by it. This book takes its point of departure from a 2016 OECD report that contends that the impact digitalization has on the future of labor is ambiguous, as on the one hand it is suggested that technological change is labor-saving, but on the other hand, it is suggested that digital technologies have not created new jobs on a scale that it replaces old jobs. Another 2018 OECD report indicated that digitalization and automation as such does not pose a real risk of destroying any significant number of jobs for the foreseeable future, although tasks would by and large change significantly. This would affects welfare, as most of its revenue stems from taxation, and particularly so from the taxation on labor (directly or indirectly). For this reason, this book will set out to explore how the future technological and societal advancements impact labor conditions. The book seeks to provide an innovative, enriching and controversial take on how various aspects of the labor market can be (and are) affected the ongoing digitalization trend in a way that is not covered by extant literature. As such, this book intends to cater to a wider readership, from a general audience and students, to specialized professionals and academics wanting to gain a deeper understanding of the possible future developments of the labor market in light of an accelerating digitalization/digital transformation of society at large.
The economic analysis of the digital economy has been a rapidly developing research area for more than a decade. Through authoritative examination by leading scholars, this Handbook takes a closer look at particular industries, business practices, and policy issues associated with the digital industry. The volume offers an up-to-date account of key topics, discusses open questions, and provides guidance for future research. It offers a blend of theoretical and empirical works that are central to understanding the digital economy. The chapters are presented in four sections, corresponding with four broad themes: 1) infrastructure, standards, and platforms; 2) the transformation of selling, encompassing both the transformation of traditional selling and new, widespread application of tools such as auctions; 3) user-generated content; and 4) threats in the new digital environment. The first section covers infrastructure, standards, and various platform industries that rely heavily on recent developments in electronic data storage and transmission, including software, video games, payment systems, mobile telecommunications, and B2B commerce. The second section takes account of the reduced costs of online retailing that threatens offline retailers, widespread availability of information as it affects pricing and advertising, digital technology as it allows the widespread employment of novel price and non-price strategies (bundling, price discrimination), and auctions, as well as better tar. The third section addresses the emergent phenomenon of user-generated content on the Internet, including the functioning of social networks and open source. Finally, the fourth section discusses threats arising from digitization and the Internet, namely digital piracy, privacy and internet security concerns.
