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.

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.

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.

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.

The Handbook of Experimental Economic Methodology, edited by Guillaume R. Fréchette and Andrew Schotter, aims to confront and debate the issues faced by the growing field of experimental economics. For example, as experimental work attempts to test theory, it raises questions about the proper relationship between theory and experiments. As experimental results are used to inform policy, the utility of these results outside the lab is questioned, and finally, as experimental economics tries to integrate ideas from other disciplines like psychology and neuroscience, the question of their proper place in the discipline of economics becomes less clear. This book contains papers written by some of the most accomplished scholars working at the intersection of experimental, behavioral, and theoretical economics talking about methodology. It is divided into four sections, each of which features a set of papers and a set of comments on those papers. The intention of the volume is to offer a place where ideas about methodology could be discussed and even argued. Some of the papers are contentious---a healthy sign of a dynamic discipline---while others lay out a vision for how the authors think experimental economics should be pursued. This exciting and illuminating collection of papers brings light to a topic at the core of experimental economics. Researchers from a broad range of fields will benefit from the exploration of these important questions.

The exponential growth of disruptive technology is changing our world. The development of cloud computing, big data, the internet of things, artificial intelligence, machine learning, deep learning, and other related autonomous systems, such as self-driving vehicles, have triggered the emergence of new products and services. These significant technological breakthroughs have opened the door to new economic models such as the sharing and platform-based economy. As a result, companies are becoming increasingly data- and algorithm-driven, coming to be more like “decentralized platforms”. New transaction or payment methods such as Bitcoin and Ethereum, based on trust-building systems using Blockchain, smart contracts, and other distributed ledger technology, also constitute an essential part of this new economic model. The sharing economy and digital platforms also include the everyday exchange of goods allowing individuals to commodify their surplus resources. Information and innovation technologies are used in order to then match these resources with existing demand in the market. Online platforms such as Airbnb, Uber, and Amazon reduce information asymmetry, increase the value of unused resources, and create new opportunities for collaboration and innovation. Moreover, the sharing economy is playing a major role in the transition from exclusive ownership of personal assets toward access-based exploitation of resources. The success of online matching platforms depends not only on the reduction of search costs but also on the trustworthiness of platform operators. From a legal perspective, the uncertainties triggered by the emergence of a new digital reality are particularly urgent. How should these tendencies be reflected in legal systems in each jurisdiction? This book collects a series of contributions by leading scholars in the newly emerging fields of sharing economy and Legal Tech. The aim of the book is to enrich legal debates on the social, economic, and political meaning of these cutting-edge technologies. The chapters presented in this edition attempt to answer some of these lingering questions from the perspective of diverse legal backgrounds.

With social and digital media reshaping the way business is conducted, and the number of companies embracing the new social medium, this book revisits CSR practices from a digital perspective. The volume explores the impact and influence of the new 'social' on responsibility and its feasibility, measurability and success in a boundary-less world.