The Impact of Big Data Analytics on Customers? Online Behaviour

Qiuchen Li, Jinkun Xing, Ou Liu, Woonkian Chong

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

Abstract

Nowadays, huge amounts of data are exchanged and collected in the business world every day. For e-commerce firms, data from different sources (e.g. online transactions, search history and social media) can be analysed and provide insights to business managers. As many e-commerce companies claimed, Big Data Analytics (BDA) is the most efficient way to dig out the insights and to develop specific strategy for the company so far. Therefore, this project aims at exploring the effects of BDA brought on customers’ online behaviour to examine whether the BDA is as successful as firms stated.

Original languageEnglish
Title of host publicationProceedings of the International MultiConference of Engineers and Computer Scientists 2017, IMECS 2017
EditorsOscar Castillo, S. I. Ao, Craig Douglas, David Dagan Feng, A. M. Korsunsky
PublisherNewswood Limited
Pages702-705
Number of pages4
ISBN (Electronic)9789881404770
Publication statusPublished - 2017
Event2017 International MultiConference of Engineers and Computer Scientists, IMECS 2017 - Hong Kong, Hong Kong
Duration: 15 Mar 201717 Mar 2017

Publication series

NameLecture Notes in Engineering and Computer Science
Volume2228
ISSN (Print)2078-0958

Conference

Conference2017 International MultiConference of Engineers and Computer Scientists, IMECS 2017
Country/TerritoryHong Kong
CityHong Kong
Period15/03/1717/03/17

Keywords

  • Big data analytics
  • Customer behaviour
  • E-commerce
  • Online purchase

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