Indira Gandhi National Tribal University, Amarkantak

Prof. Ram Dayal Munda Central Library

Online Public Access Catalogue

Amazon cover image
Image from Amazon.com
Image from OpenLibrary

Sharing economy and big data analytics / Soraya Sedkaoui, Mounia Khelfaoui.

By: Contributor(s): Material type: TextTextSeries: Information systems, web and pervasive computing seriesPublisher: London : Hoboken, NJ : ISTE Ltd ; John Wiley & Sons, Inc., 2020Description: 1 online resource (236 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781119694991
  • 111969499X
  • 9781119695035
  • 1119695031
  • 9781119695028
  • 1119695023
Subject(s): Genre/Form: Additional physical formats: Print version:: Sharing Economy and Big Data Analytics.DDC classification:
  • 334 23
LOC classification:
  • HD2961 .S43 2020
Online resources:
Contents:
The Sharing Economy or the Emergence of a New Business Model. The Sharing Economy: A Concept Under Construction -- An Opportunity for the Business World -- Risks and Issues of the Sharing Economy -- Digital Platforms and the Sharing Mechanism -- Big Data Analytics at the Service of the Sharing Economy. Beyond the Word "Big": The Changes -- The Art of Analytics -- Data and Platforms in the Sharing Context -- Big Data Analytics Applied to the Sharing Economy -- The Sharing Economy? Not Without Big Data Algorithms. Linear Regression -- Classification Algorithms -- Cluster Analysis -- Conclusion -- References -- Index -- Other titles from iSTE in Information Systems, Web and Pervasive Computing.
Summary: 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
No physical items for this record

The Sharing Economy or the Emergence of a New Business Model. The Sharing Economy: A Concept Under Construction -- An Opportunity for the Business World -- Risks and Issues of the Sharing Economy -- Digital Platforms and the Sharing Mechanism -- Big Data Analytics at the Service of the Sharing Economy. Beyond the Word "Big": The Changes -- The Art of Analytics -- Data and Platforms in the Sharing Context -- Big Data Analytics Applied to the Sharing Economy -- The Sharing Economy? Not Without Big Data Algorithms. Linear Regression -- Classification Algorithms -- Cluster Analysis -- Conclusion -- References -- Index -- Other titles from iSTE in Information Systems, Web and Pervasive Computing.

Includes bibliographical references and index.

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.

Description based on online resource; title from digital title page (viewed on May 20, 2020).

There are no comments on this title.

to post a comment.