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

doi:10.1109/BDAI59165.2023.10256889

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

Facultad de ciencias de la empresa

Producción científica: Libro o Capítulo del libro › Contribución a la conferencia › revisión exhaustiva

2 Citas (Scopus)

Resumen

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.

Idioma original	Inglés estadounidense
Título de la publicación alojada	2023 6th International Conference on Big Data and Artificial Intelligence, BDAI 2023
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	30-34
-	5
ISBN (versión digital)	9798350303667
DOI	https://doi.org/10.1109/BDAI59165.2023.10256889
Estado	Indizado - 2023
Evento	6th International Conference on Big Data and Artificial Intelligence, BDAI 2023 - Haining, China Duración: 7 jul. 2023 → 9 jul. 2023

Serie de la publicación

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

Conferencia

Conferencia	6th International Conference on Big Data and Artificial Intelligence, BDAI 2023
País/Territorio	China
Ciudad	Haining
Período	7/07/23 → 9/07/23

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Publisher Copyright:
© 2023 IEEE.

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10.1109/BDAI59165.2023.10256889

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Chamorro-Zapana, F. P., Chumpitaz-Caycho, H. E., Espinoza-Gamboa, E. N., Espinoza-Cruz, M. A., & Cordova-Buiza, F. (2023). Application of big data for analyzing consumer behavior in e-commerce companies. En 2023 6th International Conference on Big Data and Artificial Intelligence, BDAI 2023 (pp. 30-34). (2023 6th International Conference on Big Data and Artificial Intelligence, BDAI 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BDAI59165.2023.10256889

Chamorro-Zapana, Fernando Piero ; Chumpitaz-Caycho, Hugo Eladio ; Espinoza-Gamboa, Ericka Nelly et al. / Application of big data for analyzing consumer behavior in e-commerce companies. 2023 6th International Conference on Big Data and Artificial Intelligence, BDAI 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 30-34 (2023 6th International Conference on Big Data and Artificial Intelligence, BDAI 2023).

@inproceedings{afd467201b24444da68c4b01ee965b36,

title = "Application of big data for analyzing consumer behavior in e-commerce companies",

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.",

keywords = "Big-data, consumer, e-commerce, online sales",

author = "Chamorro-Zapana, {Fernando Piero} and Chumpitaz-Caycho, {Hugo Eladio} and Espinoza-Gamboa, {Ericka Nelly} and Espinoza-Cruz, {Manuel Alberto} and Franklin Cordova-Buiza",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 6th International Conference on Big Data and Artificial Intelligence, BDAI 2023 ; Conference date: 07-07-2023 Through 09-07-2023",

year = "2023",

doi = "10.1109/BDAI59165.2023.10256889",

language = "American English",

series = "2023 6th International Conference on Big Data and Artificial Intelligence, BDAI 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Chamorro-Zapana, FP, Chumpitaz-Caycho, HE, Espinoza-Gamboa, EN, Espinoza-Cruz, MA & Cordova-Buiza, F 2023, Application of big data for analyzing consumer behavior in e-commerce companies. En 2023 6th International Conference on Big Data and Artificial Intelligence, BDAI 2023. 2023 6th International Conference on Big Data and Artificial Intelligence, BDAI 2023, Institute of Electrical and Electronics Engineers Inc., pp. 30-34, 6th International Conference on Big Data and Artificial Intelligence, BDAI 2023, Haining, China, 7/07/23. https://doi.org/10.1109/BDAI59165.2023.10256889

Application of big data for analyzing consumer behavior in e-commerce companies. / Chamorro-Zapana, Fernando Piero; Chumpitaz-Caycho, Hugo Eladio; Espinoza-Gamboa, Ericka Nelly et al.
2023 6th International Conference on Big Data and Artificial Intelligence, BDAI 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 30-34 (2023 6th International Conference on Big Data and Artificial Intelligence, BDAI 2023).

Producción científica: Libro o Capítulo del libro › Contribución a la conferencia › revisión exhaustiva

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

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.

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Chamorro-Zapana FP, Chumpitaz-Caycho HE, Espinoza-Gamboa EN, Espinoza-Cruz MA, Cordova-Buiza F. Application of big data for analyzing consumer behavior in e-commerce companies. En 2023 6th International Conference on Big Data and Artificial Intelligence, BDAI 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 30-34. (2023 6th International Conference on Big Data and Artificial Intelligence, BDAI 2023). doi: 10.1109/BDAI59165.2023.10256889

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

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