Inteligencia Artificial en el Marketing Digital en América entre 2021 y 2023.: Una revisión sistemática de iteratura

Luis Montoya; Alejandra Benalcazar; Diego Gonzalez; Nicolás Toledo; Greccia del Pilar La Torre

doi:10.37211/2789.1216.v1.n4.47

Authors

Luis Montoya Universidad Peruana de Ciencias Aplicadas
Alejandra Benalcazar universidad Peruana de Ciencias Aplicadas https://orcid.org/0009-0008-0986-7512
Diego Gonzalez Universidad Peruana de Ciencias Aplicadas https://orcid.org/0009-0006-9669-2436
Nicolás Toledo Universidad Peruana de Ciencias Aplicadas https://orcid.org/0009-0005-4316-2039
Greccia del Pilar La Torre Universidad Peruana de Ciencias Aplicadas https://orcid.org/0009-0009-1864-5409

DOI:

https://doi.org/10.37211/2789.1216.v1.n4.47

Abstract

The objective of this research assignment is to carry out a systematic review of the field of artificial intelligence in digital marketing in America during the period 2021–2023. The study will contain an extensive review of academic articles in which a relationship is identified between the previously mentioned points to understand the implications that this emerging technology will have in the future. The PRISMA method will be used with keyword terminology in Spanish, English, and Portuguese for searching in academic repositories. In this way, it will be possible to build a base of relevant sources to analyze the concepts proposed by expert authors and present their ideas in tables and figures where each investigation is differentiated. For this reason, this research assignment will play a critical role as a source of information for a new literary production to study the proposed topic in greater depth. Therefore, at the end of the systematic analysis, conclusions will be presented that encompass the results obtained from the reviewed works.