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E-commerce and business analytics: a literature review

  • Mus Alparslan University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

The number of users of well-known e-commerce websites such as Taobao, Jingdong, and Amazon has exceeded one billion. This means that the information provided by these and similar websites which is growing very fast, could be a valuable source of support for decision making, if discovered. All kinds of data derived from e-commerce websites must be managed and analyzed in order for them to remain competitive and to prevent reduced satisfaction or interest of customers. Business Analytics and Big Data Analytics are methodologies that can discover valuable insight hidden in data. In this paper, recent studies on e-commerce and Business Analytics or Big Data Analytics published within the last five years will be surveyed to discover what kind of business value is created with usage of analytics in these studies. This investigation also has the potential to find research gaps and direct future research.

Original languageEnglish
Title of host publicationDigital Economy. Emerging Technologies and Business Innovation - 4th International Conference, ICDEc 2019, Proceedings
EditorsRim Jallouli, Mohamed Anis Bach Tobji, Deny Bélisle, Sehl Mellouli, Farid Abdallah, Ibrahim Osman
PublisherSpringer
Pages173-182
Number of pages10
ISBN (Electronic)9783030308742
ISBN (Print)9783030308735
DOIs
Publication statusPublished - 21 Sept 2019
Event4th International Conference on Digital Economy, ICDEc 2019 - Beirut, Lebanon
Duration: 15 Apr 201918 Apr 2019

Publication series

NameLecture Notes in Business Information Processing
Volume358
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356

Conference

Conference4th International Conference on Digital Economy, ICDEc 2019
Country/TerritoryLebanon
CityBeirut
Period15/04/1918/04/19

Keywords

  • Big data analytics
  • Business analytics
  • Business value
  • E-commerce

ASJC Scopus subject areas

  • Management Information Systems
  • Control and Systems Engineering
  • Business and International Management
  • Information Systems
  • Modeling and Simulation
  • Information Systems and Management

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