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Sharing Economy and Big Data Analytics

Sharing Economy and Big Data Analytics
Author: Soraya Sedkaoui
Publisher: John Wiley & Sons
Total Pages: 268
Release: 2020-01-15
Genre: Mathematics
ISBN: 1119695023

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The different facets of the sharing economy offer numerous opportunities for businesses ? particularly those that can be distinguished by their creative ideas and their ability to easily connect buyers and senders of goods and services via digital platforms. At the beginning of the growth of this economy, the advanced digital technologies generated billions of bytes of data that constitute what we call Big Data. This book underlines the facilitating role of Big Data analytics, explaining why and how data analysis algorithms can be integrated operationally, in order to extract value and to improve the practices of the sharing economy. It examines the reasons why these new techniques are necessary for businesses of this economy and proposes a series of useful applications that illustrate the use of data in the sharing ecosystem.


Sharing Economy and Big Data Analytics

Sharing Economy and Big Data Analytics
Author: Soraya Sedkaoui
Publisher: John Wiley & Sons
Total Pages: 268
Release: 2020-02-05
Genre: Mathematics
ISBN: 1786305062

Download Sharing Economy and Big Data Analytics Book in PDF, ePub and Kindle

The different facets of the sharing economy offer numerous opportunities for businesses ? particularly those that can be distinguished by their creative ideas and their ability to easily connect buyers and senders of goods and services via digital platforms. At the beginning of the growth of this economy, the advanced digital technologies generated billions of bytes of data that constitute what we call Big Data. This book underlines the facilitating role of Big Data analytics, explaining why and how data analysis algorithms can be integrated operationally, in order to extract value and to improve the practices of the sharing economy. It examines the reasons why these new techniques are necessary for businesses of this economy and proposes a series of useful applications that illustrate the use of data in the sharing ecosystem.


Analytics for the Sharing Economy: Mathematics, Engineering and Business Perspectives

Analytics for the Sharing Economy: Mathematics, Engineering and Business Perspectives
Author: Emanuele Crisostomi
Publisher: Springer Nature
Total Pages: 343
Release: 2020-03-11
Genre: Technology & Engineering
ISBN: 3030350320

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The book provides an encompassing overview of all aspects relating to the sharing economy paradigm in different fields of study, and shows the ongoing research efforts in filling previously identified gaps in understanding in this area. Control and optimization analytics for the sharing economy explores bespoke analytics, tools, and business models that can be used to help design collaborative consumption services (the shared economy). It provides case studies of collaborative consumption in the areas of energy and mobility. The contributors review successful examples of sharing systems, and explore the theory for designing effective and stable shared-economy models. They discuss recent innovations in and uses of shared economy models in niche areas, such as energy and mobility. Readers learn the scientific challenging issues associated with the realization of a sharing economy. Conceptual and practical matters are examined, and the state-of-the-art tools and techniques to address such applications are explained. The contributors also show readers how topical problems in engineering, such as energy consumption in power grids, or bike sharing in transportation networks, can be formulated and solved from a general collaborative consumption perspective. Since the book takes a mathematical perspective to the topic, researchers in business, computer science, optimization and control find it useful. Practitioners also use the book as a point of reference, as it explores and investigates the analytics behind economy sharing.


2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City

2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City
Author: Mohammed Atiquzzaman
Publisher: Springer Nature
Total Pages: 1314
Release: 2021-12-09
Genre: Technology & Engineering
ISBN: 9811674663

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This book gathers a selection of peer-reviewed papers presented at the third Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2021) conference, held in Shanghai, China, on Nov. 27, 2021. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.


Big Data Analytics

Big Data Analytics
Author: Soraya Sedkaoui
Publisher: CRC Press
Total Pages: 282
Release: 2021-07-04
Genre: Science
ISBN: 1000290530

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This volume explores the diverse applications of advanced tools and technologies of the emerging field of big data and their evidential value in business. It examines the role of analytics tools and methods of using big data in strengthening businesses to meet today’s information challenges and shows how businesses can adapt big data for effective businesses practices. This volume shows how big data and the use of data analytics is being effectively adopted more frequently, especially in companies that are looking for new methods to develop smarter capabilities and tackle challenges in dynamic processes. Many illustrative case studies are presented that highlight how companies in every sector are now focusing on harnessing data to create a new way of doing business.


New Horizons for a Data-Driven Economy

New Horizons for a Data-Driven Economy
Author: José María Cavanillas
Publisher: Springer
Total Pages: 312
Release: 2016-04-04
Genre: Computers
ISBN: 3319215698

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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.


Analytics for the Sharing Economy

Analytics for the Sharing Economy
Author:
Publisher:
Total Pages: 343
Release: 2020
Genre: Cooperation
ISBN: 9783030350338

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The book provides an encompassing overview of all aspects relating to the sharing economy paradigm in different fields of study, and shows the ongoing research efforts in filling previously identified gaps in understanding in this area. Control and optimization analytics for the sharing economy explores bespoke analytics, tools, and business models that can be used to help design collaborative consumption services (the shared economy). It provides case studies of collaborative consumption in the areas of energy and mobility. The contributors review successful examples of sharing systems, and explore the theory for designing effective and stable shared-economy models. They discuss recent innovations in and uses of shared economy models in niche areas, such as energy and mobility. Readers learn the scientific challenging issues associated with the realization of a sharing economy. Conceptual and practical matters are examined, and the state-of-the-art tools and techniques to address such applications are explained. The contributors also show readers how topical problems in engineering, such as energy consumption in power grids, or bike sharing in transportation networks, can be formulated and solved from a general collaborative consumption perspective. Since the book takes a mathematical perspective to the topic, researchers in business, computer science, optimization and control find it useful. Practitioners also use the book as a point of reference, as it explores and investigates the analytics behind economy sharing.


Perspectives on the Sharing Economy

Perspectives on the Sharing Economy
Author: Indre Maurer
Publisher: Cambridge Scholars Publishing
Total Pages: 174
Release: 2019-08-15
Genre: Business & Economics
ISBN: 1527538532

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Sharing instead of owning is one of the major trends in modern (business) life. By changing how people consume, the rise of the sharing economy has the potential to redefine the role of owners, consumers and producers, change their mode of transaction, create innovative business models, disrupt existing industries, and challenge political and regulative institutions. In addition to these practical implications, the sharing economy phenomenon represents a novel playground for theoretical advancement, attracting a multitude of research and researchers from different disciplines. While this can potentially open up new avenues for practice and theory to stimulate each other, they do not seem to go hand-in-hand at the moment. This volume brings together research from a wide variety of theoretical backgrounds and disciplines to encourage academic discourse on the sharing economy phenomenon. It comprises contributions that are grounded in different theoretical perspectives, including business history, economics, strategic management, organization studies, information systems, political science, legal studies, linguistics, and semantics. While all contributions focus on the sharing economy phenomenon, they examine the subject from different disciplinary angles. Together, they provide a coherent and comprehensive overview of research on the sharing economy.


Handbook of the Sharing Economy

Handbook of the Sharing Economy
Author: Russell W. Belk
Publisher: Edward Elgar Publishing
Total Pages: 424
Release: 2019
Genre: Business & Economics
ISBN: 1788110544

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With the radical growth in the ubiquity of digital platforms, the sharing economy is here to stay. This Handbook explores the nature and direction of the sharing economy, interrogating its key dynamics and evolution over the past decade and critiquing its effect on society.


The Elements of Big Data Value

The Elements of Big Data Value
Author: Edward Curry
Publisher: Springer Nature
Total Pages: 399
Release: 2021-08-01
Genre: Computers
ISBN: 3030681769

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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.