TY - GEN
T1 - Application of big data for analyzing consumer behavior in e-commerce companies
AU - Chamorro-Zapana, Fernando Piero
AU - Chumpitaz-Caycho, Hugo Eladio
AU - Espinoza-Gamboa, Ericka Nelly
AU - Espinoza-Cruz, Manuel Alberto
AU - Cordova-Buiza, Franklin
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Big-data
KW - consumer
KW - e-commerce
KW - online sales
UR - http://www.scopus.com/inward/record.url?scp=85175613648&partnerID=8YFLogxK
U2 - 10.1109/BDAI59165.2023.10256889
DO - 10.1109/BDAI59165.2023.10256889
M3 - Conference contribution
AN - SCOPUS:85175613648
T3 - 2023 6th International Conference on Big Data and Artificial Intelligence, BDAI 2023
SP - 30
EP - 34
BT - 2023 6th International Conference on Big Data and Artificial Intelligence, BDAI 2023
T2 - 6th International Conference on Big Data and Artificial Intelligence, BDAI 2023
Y2 - 7 July 2023 through 9 July 2023
ER -