The Data Economy

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New Horizons for a Data-Driven Economy

José María Cavanillas,Edward Curry,Wolfgang Wahlster
New Horizons for a Data Driven Economy Book PDF

Author : José María Cavanillas,Edward Curry,Wolfgang Wahlster
Publisher : Springer
Page : 303 pages
File Size : 53,7 Mb
Release : 2016-04-04
Category : Computers
ISBN : 9783319215693

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New Horizons for a Data-Driven Economy by José María Cavanillas,Edward Curry,Wolfgang Wahlster Pdf

In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.

Competition and Regulation in the Data Economy

Gintarè Surblytė-Namavičienė
Competition and Regulation in the Data Economy Book PDF

Author : Gintarè Surblytė-Namavičienė
Publisher : Edward Elgar Publishing
Page : 296 pages
File Size : 42,9 Mb
Release : 2020-10-30
Category : Law
ISBN : 9781788116657

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Competition and Regulation in the Data Economy by Gintarè Surblytė-Namavičienė Pdf

This incisive book provides a much-needed examination of the legal issues arising from the data economy, particularly in the light of the expanding role of algorithms and artificial intelligence in business and industry. In doing so, it discusses the pressing question of how to strike a balance in the law between the interests of a variety of stakeholders, such as AI industry, businesses and consumers.

Reinventing Capitalism in the Age of Big Data

Viktor Mayer-Schönberger,Thomas Ramge
Reinventing Capitalism in the Age of Big Data Book PDF

Author : Viktor Mayer-Schönberger,Thomas Ramge
Publisher : Basic Books
Page : 288 pages
File Size : 43,8 Mb
Release : 2018-02-27
Category : Business & Economics
ISBN : 9780465093694

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Reinventing Capitalism in the Age of Big Data by Viktor Mayer-Schönberger,Thomas Ramge Pdf

From the New York Times bestselling author of Big Data, a prediction for how data will revolutionize the market economy and make cash, banks, and big companies obsolete In modern history, the story of capitalism has been a story of firms and financiers. That's all going to change thanks to the Big Data revolution. As Viktor Mayer-Schönberger, bestselling author of Big Data, and Thomas Ramge, who writes for The Economist, show, data is replacing money as the driver of market behavior. Big finance and big companies will be replaced by small groups and individual actors who make markets instead of making things: think Uber instead of Ford, or Airbnb instead of Hyatt. This is the dawn of the era of data capitalism. Will it be an age of prosperity or of calamity? This book provides the indispensable roadmap for securing a better future.

The Data Industry

Chunlei Tang
The Data Industry Book PDF

Author : Chunlei Tang
Publisher : John Wiley & Sons
Page : 217 pages
File Size : 53,5 Mb
Release : 2016-06-13
Category : Mathematics
ISBN : 9781119138402

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The Data Industry by Chunlei Tang Pdf

Provides an introduction of the data industry to the field of economics This book bridges the gap between economics and data science to help data scientists understand the economics of big data, and enable economists to analyze the data industry. It begins by explaining data resources and introduces the data asset. This book defines a data industry chain, enumerates data enterprises’ business models versus operating models, and proposes a mode of industrial development for the data industry. The author describes five types of enterprise agglomerations, and multiple industrial cluster effects. A discussion on the establishment and development of data industry related laws and regulations is provided. In addition, this book discusses several scenarios on how to convert data driving forces into productivity that can then serve society. This book is designed to serve as a reference and training guide for ata scientists, data-oriented managers and executives, entrepreneurs, scholars, and government employees. Defines and develops the concept of a “Data Industry,” and explains the economics of data to data scientists and statisticians Includes numerous case studies and examples from a variety of industries and disciplines Serves as a useful guide for practitioners and entrepreneurs in the business of data technology The Data Industry: The Business and Economics of Information and Big Data is a resource for practitioners in the data science industry, government, and students in economics, business, and statistics. CHUNLEI TANG, Ph.D., is a research fellow at Harvard University. She is the co-founder of Fudan’s Institute for Data Industry and proposed the concept of the “data industry”. She received a Ph.D. in Computer and Software Theory in 2012 and a Master of Software Engineering in 2006 from Fudan University, Shanghai, China.

Understanding the Digital Economy

Erik Brynjolfsson,Brian Kahin
Understanding the Digital Economy Book PDF

Author : Erik Brynjolfsson,Brian Kahin
Publisher : MIT Press
Page : 412 pages
File Size : 41,7 Mb
Release : 2002-01-25
Category : Business & Economics
ISBN : 0262523302

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Understanding the Digital Economy by Erik Brynjolfsson,Brian Kahin Pdf

The rapid growth of electronic commerce, along with changes in information, computing, and communications, is having a profound effect on the United States economy. President Clinton recently directed the National Economic Council, in consultation with executive branch agencies, to analyze the economic implications of the Internet and electronic commerce domestically and internationally, and to consider new types of data collection and research that could be undertaken by public and private organizations. This book contains work presented at a conference held by executive branch agencies in May 1999 at the Department of Commerce. The goals of the conference were to assess current research on the digital economy, to engage the private sector in developing the research that informs investment and policy decisions, and to promote better understanding of the growth and socioeconomic implications of information technology and electronic commerce. Aspects of the digital economy addressed include macroeconomic assessment, organizational change, small business, access, market structure and competition, and employment and the workforce.

Building the New Economy

Alex Pentland,Alexander Lipton,Thomas Hardjono
Building the New Economy Book PDF

Author : Alex Pentland,Alexander Lipton,Thomas Hardjono
Publisher : MIT Press
Page : 475 pages
File Size : 43,7 Mb
Release : 2021-10-12
Category : Computers
ISBN : 9780262543156

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Building the New Economy by Alex Pentland,Alexander Lipton,Thomas Hardjono Pdf

How to empower people and communities with user-centric data ownership, transparent and accountable algorithms, and secure digital transaction systems. Data is now central to the economy, government, and health systems—so why are data and the AI systems that interpret the data in the hands of so few people? Building the New Economy calls for us to reinvent the ways that data and artificial intelligence are used in civic and government systems. Arguing that we need to think about data as a new type of capital, the authors show that the use of data trusts and distributed ledgers can empower people and communities with user-centric data ownership, transparent and accountable algorithms, machine learning fairness principles and methodologies, and secure digital transaction systems. It’s well known that social media generate disinformation and that mobile phone tracking apps threaten privacy. But these same technologies may also enable the creation of more agile systems in which power and decision-making are distributed among stakeholders rather than concentrated in a few hands. Offering both big ideas and detailed blueprints, the authors describe such key building blocks as data cooperatives, tokenized funding mechanisms, and tradecoin architecture. They also discuss technical issues, including how to build an ecosystem of trusted data, the implementation of digital currencies, and interoperability, and consider the evolution of computational law systems.

Big Data for Twenty-First-Century Economic Statistics

Katharine G. Abraham,Ron S. Jarmin,Brian C. Moyer,Matthew D. Shapiro
Big Data for Twenty First Century Economic Statistics Book PDF

Author : Katharine G. Abraham,Ron S. Jarmin,Brian C. Moyer,Matthew D. Shapiro
Publisher : University of Chicago Press
Page : 502 pages
File Size : 54,8 Mb
Release : 2022-03-11
Category : Business & Economics
ISBN : 9780226801254

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Big Data for Twenty-First-Century Economic Statistics by Katharine G. Abraham,Ron S. Jarmin,Brian C. Moyer,Matthew D. Shapiro Pdf

Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending /Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm ;Improving the accuracy of economic measurement with multiple data sources: the case of payroll employment data /Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz --Uses of big data for classification.Transforming naturally occurring text data into economic statistics: the case of online job vacancy postings /Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood ;Automating response evaluation for franchising questions on the 2017 economic census /Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer ;Using public data to generate industrial classification codes /John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts --Uses of big data for sectoral measurement.Nowcasting the local economy: using Yelp data to measure economic activity /Edward L. Glaeser, Hyunjin Kim, and Michael Luca ;Unit values for import and export price indexes: a proof of concept /Don A. Fast and Susan E. Fleck ;Quantifying productivity growth in the delivery of important episodes of care within the Medicare program using insurance claims and administrative data /John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood ;Valuing housing services in the era of big data: a user cost approach leveraging Zillow microdata /Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland --Methodological challenges and advances.Off to the races: a comparison of machine learning and alternative data for predicting economic indicators /Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch ;A machine learning analysis of seasonal and cyclical sales in weekly scanner data /Rishab Guha and Serena Ng ;Estimating the benefits of new products /W. Erwin Diewert and Robert C. Feenstra.

The Big Data-Driven Digital Economy: Artificial and Computational Intelligence

Abdalmuttaleb M. A. Musleh Al-Sartawi
The Big Data Driven Digital Economy Artificial and Computational Intelligence Book PDF

Author : Abdalmuttaleb M. A. Musleh Al-Sartawi
Publisher : Springer Nature
Page : 472 pages
File Size : 47,9 Mb
Release : 2021-05-28
Category : Computers
ISBN : 9783030730574

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The Big Data-Driven Digital Economy: Artificial and Computational Intelligence by Abdalmuttaleb M. A. Musleh Al-Sartawi Pdf

This book shows digital economy has become one of the most sought out solutions to sustainable development and economic growth of nations. This book discusses the implications of both artificial intelligence and computational intelligence in the digital economy providing a holistic view on AI education, economics, finance, sustainability, ethics, governance, cybersecurity, blockchain, and knowledge management. Unlike other books, this book brings together two important areas, intelligence systems and big data in the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations. The chapters hereby focus on how societies can take advantage and manage data, as well as the limitations they face due to the complexity of resources in the form of digital data and the intelligence which will support economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, students, economic development strategies, and the efforts made by the UN towards achieving their sustainability goals.

Data-Driven Business Models for the Digital Economy

Rado Kotorov
Data Driven Business Models for the Digital Economy Book PDF

Author : Rado Kotorov
Publisher : Business Expert Press
Page : 161 pages
File Size : 50,8 Mb
Release : 2020-04-21
Category : Business & Economics
ISBN : 9781951527815

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Data-Driven Business Models for the Digital Economy by Rado Kotorov Pdf

Today the fastest growing companies have no physical assets. Instead, they create innovative digital products and new data-driven business models. They capture huge market share fast and their capitalizations skyrocket. The success of these digital giants is pushing all companies to rethink their business models and to start digitizing their products and services. Whether you are a new start-up building a digital product or service, or an employee of an established company that is transitioning to digital, you need to consider how digitization has transformed every aspect of management. Data-driven business models scale not through asset accumulation and product standardization, but through disaggregation of supply and demand. The winners in the new economy master the demand for one and the supply to millions. Throughout the book the author illustrates with examples and use cases how the market competition has changed and how companies adept to the new rules of the game. The economic levers of scale and scope are also different in the digital economy and companies have to learn new tactics how to achieve and sustain their competitive advantage. While data is at the core of all digital business models, the monetization strategies vary across products, services and business models. Our Monetization Matrix is a model that helps managers, marketers, sales professionals, and technical product designers to align the digital product design with the data-driven business model.

Data Economy in the Digital Age

Samiksha Shukla,Kritica Bisht,Kapil Tiwari,Shahid Bashir
Data Economy in the Digital Age Book PDF

Author : Samiksha Shukla,Kritica Bisht,Kapil Tiwari,Shahid Bashir
Publisher : Springer Nature
Page : 139 pages
File Size : 55,6 Mb
Release : 2023-12-21
Category : Technology & Engineering
ISBN : 9789819976775

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Data Economy in the Digital Age by Samiksha Shukla,Kritica Bisht,Kapil Tiwari,Shahid Bashir Pdf

The book is a comprehensive guide that explores the concept of data economy and its implications in today's world. The book discusses the principles and components of the ecosystem, the challenges and opportunities presented by data monetization, and the potential risks related to data privacy. Real-life examples and case studies are included to understand the concepts better. The book is suitable for individuals in data science, economics, business, and technology and for students, academics, and policymakers. It is an excellent read for anyone interested in the data economy.

The Data Economy

Sree Kumar,Warren B. Chik,See-Kiong Ng,Sin Gee Teo
The Data Economy Book PDF

Author : Sree Kumar,Warren B. Chik,See-Kiong Ng,Sin Gee Teo
Publisher : Routledge
Page : 116 pages
File Size : 40,9 Mb
Release : 2018-10-03
Category : Social Science
ISBN : 0429433654

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The Data Economy by Sree Kumar,Warren B. Chik,See-Kiong Ng,Sin Gee Teo Pdf

"The data economy" is a term used by many, but properly understood by few. Even more so the concept of "big data". Both terms embody the notion of a digital world in which many transactions and data flows animate a virtual space. This is the unseen world in which technology has become the master, with the hand of the human less visible. In fact, however, it is human interaction in and around technology that makes data so pervasive and important - the ability of the human mind to extract, manipulate and shape data that gives meaning to it. This book outlines the findings and conclusions of a multidisciplinary team of data scientists, lawyers, and economists tasked with studying both the possibilities of exploiting the rich data sets made available from many human-technology interactions and the practical and legal limitations of trying to do so. It revolves around a core case study of Singapore's public transport system, using data from both the private company operating the contactless payment system (EZ-Link) and the government agency responsible for public transport infrastructure (Land Transport Authority). In analysing both the possibilities and the limitations of these data sets, the authors propose policy recommendations in terms of both the uses of large data sets and the legislation necessary to enable these uses while protecting the privacy of users.

Business Models for the Data Economy

Q. Ethan McCallum,Ken Gleason
Business Models for the Data Economy Book PDF

Author : Q. Ethan McCallum,Ken Gleason
Publisher : "O'Reilly Media, Inc."
Page : 33 pages
File Size : 51,5 Mb
Release : 2013-10-28
Category : Computers
ISBN : 9781491947050

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Business Models for the Data Economy by Q. Ethan McCallum,Ken Gleason Pdf

You're sitting on a pile of interesting data. How do you transform that into money? It's easy to focus on the contents of the data itself, and to succumb to the (rather unimaginative) idea of simply collecting and reselling it in raw form. While that's certainly profitable right now, you'd do well to explore other opportunities if you expect to be in the data business long-term. In this paper, we'll share a framework we developed around monetizing data. We'll show you how to think beyond pure collection and storage, to move up the value chain and consider longer-term opportunities.

Economic Analysis of the Digital Economy

Avi Goldfarb,Shane M. Greenstein,Catherine E. Tucker
Economic Analysis of the Digital Economy Book PDF

Author : Avi Goldfarb,Shane M. Greenstein,Catherine E. Tucker
Publisher : University of Chicago Press
Page : 510 pages
File Size : 49,9 Mb
Release : 2015-05-08
Category : Business & Economics
ISBN : 9780226206844

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Economic Analysis of the Digital Economy by Avi Goldfarb,Shane M. Greenstein,Catherine E. Tucker Pdf

There is a small and growing literature that explores the impact of digitization in a variety of contexts, but its economic consequences, surprisingly, remain poorly understood. This volume aims to set the agenda for research in the economics of digitization, with each chapter identifying a promising area of research. Economics of Digitizationidentifies urgent topics with research already underway that warrant further exploration from economists. In addition to the growing importance of digitization itself, digital technologies have some features that suggest that many well-studied economic models may not apply and, indeed, so many aspects of the digital economy throw normal economics in a loop.Economics of Digitization will be one of the first to focus on the economic implications of digitization and to bring together leading scholars in the economics of digitization to explore emerging research.

The Economics and Implications of Data

Mr.Yan Carriere-Swallow,Mr.Vikram Haksar
The Economics and Implications of Data Book PDF

Author : Mr.Yan Carriere-Swallow,Mr.Vikram Haksar
Publisher : International Monetary Fund
Page : 50 pages
File Size : 52,6 Mb
Release : 2019-09-23
Category : Computers
ISBN : 9781513511436

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The Economics and Implications of Data by Mr.Yan Carriere-Swallow,Mr.Vikram Haksar Pdf

This SPR Departmental Paper will provide policymakers with a framework for studying changes to national data policy frameworks.

Competition, Data and Privacy in the Digital Economy

Maria Wasastjerna
Competition Data and Privacy in the Digital Economy Book PDF

Author : Maria Wasastjerna
Publisher : Kluwer Law International B.V.
Page : 416 pages
File Size : 48,7 Mb
Release : 2020-07-16
Category : Law
ISBN : 9789403522241

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Competition, Data and Privacy in the Digital Economy by Maria Wasastjerna Pdf

Increasingly, we conduct our lives online, and in doing so, we grant access to our personal information. The crucial feedstock of the world economy thus generated - the commercialization and exploitation of personal data and the intrusion of digital privacy it entails - has built an imposing edifice of market power. As we enter the third decade of the 21st century, this detailed exploration of the interlinkage between competition and data privacy takes a critical look at competition policy to evaluate whether the system in its current form and with the existing approach is capable of tackling the challenges raised by the role of personal data in the shift from an offline to an online economy. Challenging the commonplace assumption that privacy has little or no role and relevance in competition law, the author’s penetrating analysis accomplishes the following and more: provides an in-depth understanding of the intersection of competition and privacy in the data-driven economy; surveys legal policy developments on the role of privacy in competition law; underlines the importance of non-price parameters in competition, such as consumer choice; clearly explains why and how competition law can protect privacy among its policy objectives; and addresses challenges in measuring the intangible harm of digital privacy violation in assessing abuse of market power. Recent case law in Europe and elsewhere, a revealing comparison between relevant European Union (EU) and United States (US) practice, the expanded role of the EU’s Competition Commissioner, and the likely impact of such phenomena as the coronavirus pandemic are all drawn into the book’s remit. In her analysis of the growing privacy dimension in competition policy, the author examines the topic from a broad perspective that includes societal, political, economic, historical and cultural elements. Her insightful multidimensional and value-based review will prove of immeasurable value to practitioners, academics, policymakers and enforcers in its identification of implications for business practice as we go forward.