Application of big data for analyzing consumer behavior in e-commerce companies

Fernando Piero Chamorro-Zapana, Hugo Eladio Chumpitaz-Caycho, Ericka Nelly Espinoza-Gamboa, Manuel Alberto Espinoza-Cruz, Franklin Cordova-Buiza

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

3 Scopus citations

Abstract

The objective was to know how the application of big-data and consumer behavior is evidenced in e-commerce companies, through a systematic review from 2017 to 2022. The study allowed reviewing four databases: Scopus, Scielo, ScienceDirect and Ebsco. The search for these articles were 132 originals according to the subject of the study title Big data to analyze consumer behavior in e-commerce companies, of which according to the evaluation were separated 102. Therefore, 30 papers were examined in detail. It is concluded that the application of big data in e-commerce consumer analysis has an economically positive impact on companies and enterprises engaged in online sales by helping them to know their customers and even predict their behavior.

Original languageEnglish
Title of host publication2023 6th International Conference on Big Data and Artificial Intelligence, BDAI 2023
Pages30-34
Number of pages5
ISBN (Electronic)9798350303667
DOIs
StatePublished - 2023
Event6th International Conference on Big Data and Artificial Intelligence, BDAI 2023 - Haining, China
Duration: 7 Jul 20239 Jul 2023

Publication series

Name2023 6th International Conference on Big Data and Artificial Intelligence, BDAI 2023

Conference

Conference6th International Conference on Big Data and Artificial Intelligence, BDAI 2023
Country/TerritoryChina
CityHaining
Period7/07/239/07/23

Keywords

  • Big-data
  • consumer
  • e-commerce
  • online sales

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