Soraya Sedkaoui - Sharing Economy and Big Data Analytics

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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.

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Series Editor

Jean-Charles Pomerol

Sharing Economy and Big Data Analytics

Soraya Sedkaoui

Mounia Khelfaoui

First published 2020 in Great Britain and the United States by ISTE Ltd and - фото 1

First published 2020 in Great Britain and the United States by ISTE Ltd and John Wiley & Sons, Inc.

Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms and licenses issued by the CLA. Enquiries concerning reproduction outside these terms should be sent to the publishers at the undermentioned address:

ISTE Ltd

27-37 St George’s Road

London SW19 4EU

UK

www.iste.co.uk

John Wiley & Sons, Inc.

111 River Street

Hoboken, NJ 07030

USA

www.wiley.com

© ISTE Ltd 2020

The rights of Soraya Sedkaoui and Mounia Khelfaoui to be identified as the authors of this work have been asserted by them in accordance with the Copyright, Designs and Patents Act 1988.

Library of Congress Control Number: 2019951392

British Library Cataloguing-in-Publication Data

A CIP record for this book is available from the British Library

ISBN 978-1-78630-506-0

Preface

It seems that perfection is achieved not when there is nothing more to add, but when there’s nothing left to take away .

Antoine de Saint-Exupéry

Welcome to this book!

By reading the table of contents, you have probably noticed the diversity of topics we are about to discuss. The purpose of the Sharing Economy and Big Data Analytics , as the title suggests, is to provide a good reference source in these two fields, which have emerged in the digital context. These two fields are so vast that a book ten times larger could not cover everything.

From a theoretical and practical point of view, this book adds new knowledge and expands the growing body of literature in the field of the Big Data-based sharing economy. It examines why the new data analysis techniques are needed for sharing economy companies.

These reasons are not only related to the implementation of advanced technologies, enabling the capture and the analysis of large amounts of available data, but also to the extraction of value to better guide, optimize the decision-making process and operationalize the company’s various activities.

These questions will be primarily based on the following points:

– How did the different players give meaning to the concept of sharing? Or, in another way, how have they been able to develop their business models in a way that competes and/or coexists with existing models?

– How is the value captured, created and delivered, and how is this value co-created in regard to the interaction of multi-purpose players in this sharing context? Or, how does the ecosystem of sharing logic work, and what are the impacts, as well as the economic, social and environmental challenges?

– What is the role of Big Data and the set of data analysis techniques and algorithms in value creation in an economy based on sharing? How do these algorithms and new analytical techniques affect the ecosystem of the sharing economy?

The objective is to show the power of Big Data analytics and explain why it is so important for the sharing economy. Especially if we notice, thanks to the exploration carried out on the whole literature, that a few studies have simultaneously addressed these two fields. This is the full potential of this book, which will serve as a reference for readers in order to understand the role of Big Data analytics as a critical success factor for sharing economy companies.

This book therefore discusses the why and the how, in order to help the reader understand these two parallel universes. For each chapter, we have chosen a different aspect which we find interesting, while hoping that these aspects will serve as points of entry into these two exciting universes.

Soraya SEDKAOUI

Mounia KHELFAOUI

October 2019

Introduction

Knowledge is acquired through experience, everything else is information .

Albert Einstein

The discussion regarding sharing is very eloquent, it evokes a feeling of kindness and solidarity in each of us. It is used to express a desire to share a part of what we have with others: we can share a meal, an apartment or a car.

But can we share everything?

“I ask nothing more than to share my sorrows and joy. 1”

Sharing is an interface between individuals, it concerns both concrete and abstract things. In this way, we can share our pain, our joy, our love and even our life. Sharing helps to alleviate the suffering of people in need who are living in poverty. When we give part of what we have, we eradicate the selfishness that lies dormant within us and awaken hope of our human values in others.

The notion of sharing is not a human invention, but a reality that has accompanied man since the dawn of time. It is the result of needing to live in a community and strengthen social ties; because living in a society where sharing prevails strengthens security and trust between individuals.

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