Data-Driven Innovation Big Data for Growth and Well-Being PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Data-Driven Innovation Big Data for Growth and Well-Being PDF full book. Access full book title Data-Driven Innovation Big Data for Growth and Well-Being by OECD. Download full books in PDF and EPUB format.
Author: OECD
Publisher: OECD Publishing
ISBN: 9264229353
Category :
Languages : en
Pages : 456
Get Book Here
Book Description
This report improves the evidence base on the role of Data Driven Innovation for promoting growth and well-being, and provide policy guidance on how to maximise the benefits of DDI and mitigate the associated economic and societal risks.
Author: OECD
Publisher: OECD Publishing
ISBN: 9264229353
Category :
Languages : en
Pages : 456
Get Book Here
Book Description
This report improves the evidence base on the role of Data Driven Innovation for promoting growth and well-being, and provide policy guidance on how to maximise the benefits of DDI and mitigate the associated economic and societal risks.
Author: José María Cavanillas
Publisher: Springer
ISBN: 3319215698
Category : Computers
Languages : en
Pages : 312
Get Book Here
Book Description
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.
Author: Edward Curry
Publisher: Springer Nature
ISBN: 3030681769
Category : Computers
Languages : en
Pages : 399
Get Book Here
Book Description
This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations. The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data. The contributions are grouped into four parts: · Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders. · Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value. · Part III: Business, Policy, and Societal Elements of Big Data Value investigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. · Part IV: Emerging Elements of Big Data Value explores the critical elements to maximizing the future potential of big data value. Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems. The material represents the results of a collective effort undertaken by the European data community as part of the Big Data Value Public-Private Partnership (PPP) between the European Commission and the Big Data Value Association (BDVA) to boost data-driven digital transformation.
Author: OECD
Publisher: OECD Publishing
ISBN: 9264239812
Category :
Languages : en
Pages : 272
Get Book Here
Book Description
Well-timed and targeted innovation boosts productivity, increases economic growth and helps solve societal problems. But how can governments encourage more people to innovate more of the time? And how can government itself be more innovative? The OECD Innovation Strategy provides a set of ...
Author: OECD
Publisher: OECD Publishing
ISBN: 9264649824
Category :
Languages : en
Pages : 47
Get Book Here
Book Description
Data are generated wherever digital technologies are deployed namely, in almost every part of modern life. Using these data can empower individuals, drive innovation, enable new digital products and improve policy making and public service delivery.
Author: Jingyuan Ma
Publisher: Springer Nature
ISBN: 9811687668
Category : Law
Languages : en
Pages : 252
Get Book Here
Book Description
This book analyzes the business model of enterprises in the digital economy by taking an economic and comparative perspective. The aim of this book is to conduct an in-depth analysis of the anti-competitive behavior of companies who monopolize data, and put forward the necessity of regulating data monopoly by exploring the causes and characteristics of their anti-competitive behavior. It studies four aspects of the differences between data monopoly and traditional monopolistic behavior, namely defining the relevant market for data monopolies, the entry barrier, the problem of determining the dominant position of data monopoly, and the influence on consumer welfare. It points out the limitations of traditional regulatory tools and discusses how new regulatory methods could be developed within the competition legal framework to restrict data monopolies. It proposes how economic analytical tools used in traditional anti-monopoly law are facing challenges and how competition enforcement agencies could adjust regulatory methods to deal with new anti-competitive behavior by data monopolies.
Author: Frank Hendrickx
Publisher: Kluwer Law International B.V.
ISBN: 9403541652
Category : Law
Languages : en
Pages : 334
Get Book Here
Book Description
The right to privacy is a fundamental right. Along with the related right to personal data protection, it has come to take a central place in contemporary employment relations and shows significant relevance for the future of work. This thoroughly researched volume, which offers insightful essays by leading European academics and policymakers in labour and employment law, is the first to present a thoroughly up-to-date Europe-wide survey and analysis of the intensive and growing interaction of workplace relations systems with developments in privacy law. With abundant reference to the EU’s General Data Protection Regulation, the case law of the European Court of Human Rights, and the work of the International Labour Organisation, the book proceeds as a series of country chapters, each by a recognised expert in a specific jurisdiction. Legal comparison is based on a questionnaire circulated to the contributors in advance. Each country chapter addresses the national legal weight of such issues and topics as the following: interaction of privacy and data protection law; legitimacy, purpose limitation, and data minimisation; transparency; role of consent; artificial intelligence and automated decision-making; health-related data, including biometrics and psychological testing; monitoring and surveillance; and use of social media. A detailed introductory overview begins the volume. The research for this book is based on a dynamic methodology, founded in scientific desk research and expert networking. Recognising that the need for further guidance for privacy at work has been demonstrated by various European and international bodies, this book delivers a signal contribution to the field for social partners, practitioners, policymakers, scholars, and all other stakeholders working at the crossroads of privacy, data protection, and labour law.
Author: Michael Moesgaard Andersen
Publisher: Routledge
ISBN: 100032916X
Category : Business & Economics
Languages : en
Pages : 117
Get Book Here
Book Description
Today, innovation does not just occur in large and incumbent R&D organizations. Instead, it often emerges from the start-up community. In the new innovation economy, the key is to quickly find pieces of innovation, some of which may already be developed. Therefore, there is the need for more advanced means of searching and identifying innovation wherever it may occurs. We point to the importance of data-driven innovation based on digital platforms, as their footprints are growing rapidly and in sync with the shift from analogue to digital innovation workflows. This book offers companies insights on paths to business success and tools that will help them find the right route through the various options when it comes to the digital platforms where innovations may be discovered and from which value may be appropriated. The world hungers for growth and one of the most important vehicles for growth is innovation. In light of the new digital platforms from which data-driven innovation can be extracted, major parts of analogue workflows will be substituted with digital workflows. Data-driven innovation and digital innovation workflows are here to stay. Are you?
Author: Georgios Skourletopoulos
Publisher: Springer
ISBN: 3319679252
Category : Technology & Engineering
Languages : en
Pages : 346
Get Book Here
Book Description
This book reports on the latest advances in mobile technologies for collecting, storing and processing mobile big data in connection with wireless communications. It presents novel approaches and applications in which mobile big data is being applied from an engineering standpoint and addresses future theoretical and practical challenges related to the big data field from a mobility perspective. Further, it provides an overview of new methodologies designed to take mobile big data to the Cloud, enable the processing of real-time streaming events on-the-move and enhance the integration of resource availability through the ‘Anywhere, Anything, Anytime’ paradigm. By providing both academia and industry researchers and professionals with a timely snapshot of emerging mobile big data-centric systems and highlighting related pitfalls, as well as potential solutions, the book fills an important gap in the literature and fosters the further development in the area of mobile technologies for exploiting mobile big data.
Author: OECD
Publisher: OECD Publishing
ISBN: 9264259279
Category :
Languages : en
Pages : 172
Get Book Here
Book Description
This report provides an analysis of Mexico’s open government data (OGD) policies as well as recommendations for achieving its national objectives and making the most of OGD.
