Business analytics approach to artificial intelligence

Artificial Intelligence has become an essential element for strengthening the business fabric. The advances obtained in recent years as a result of the incorporation of technology for the improvement of productive activities and the positioning of companies in the markets are remarkable. Hence, the...

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Main Authors: Melva Inés Gómez-Caicedo, Mercedes Gaitán-Angulo, Jorge Bacca-Acosta, Carlos Yesid Briñez Torres, Jenny Cubillos Díaz
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Artificial Intelligence
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2022.974180/full
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author Melva Inés Gómez-Caicedo
Mercedes Gaitán-Angulo
Jorge Bacca-Acosta
Carlos Yesid Briñez Torres
Jenny Cubillos Díaz
author_facet Melva Inés Gómez-Caicedo
Mercedes Gaitán-Angulo
Jorge Bacca-Acosta
Carlos Yesid Briñez Torres
Jenny Cubillos Díaz
author_sort Melva Inés Gómez-Caicedo
collection DOAJ
description Artificial Intelligence has become an essential element for strengthening the business fabric. The advances obtained in recent years as a result of the incorporation of technology for the improvement of productive activities and the positioning of companies in the markets are remarkable. Hence, the purpose of this paper is to analyze the origin, evolution and development of business analytics (BA) and its relationship with Artificial Intelligence (AI); from the conceptualization, evolution and identification of the main characteristics and research areas of AI and BA, as well as research conducted and published in journals indexed in Scopus between 2002 and 2022. The aim is to define the incidence of BA in business activities and analyze scientific activity and advances of BA to define new research horizons in this field. For this purpose, a bibliometric and documentary analysis is applied, allowing to highlight the findings that provide recognition and comparison of the results. This will facilitate the understanding of the current dynamics, its importance for organizations, and its impact in the face of the new challenges generated by the requirements of world trade.
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spelling doaj.art-86bb489c1cfe46ab859fc7f6adb6d3aa2022-12-22T04:32:32ZengFrontiers Media S.A.Frontiers in Artificial Intelligence2624-82122022-09-01510.3389/frai.2022.974180974180Business analytics approach to artificial intelligenceMelva Inés Gómez-Caicedo0Mercedes Gaitán-Angulo1Jorge Bacca-Acosta2Carlos Yesid Briñez Torres3Jenny Cubillos Díaz4Economic Sciences, The Liberators University, Bogotá, ColombiaBusiness School, Konrad Lorenz University Foundation, Bogotá, ColombiaBusiness School, Konrad Lorenz University Foundation, Bogotá, ColombiaFaculty of Mathematics and Engineering, Pilot University of Colombia, Bogotá, ColombiaEconomics and Management, University Corporation of Meta, Villavicencio, ColombiaArtificial Intelligence has become an essential element for strengthening the business fabric. The advances obtained in recent years as a result of the incorporation of technology for the improvement of productive activities and the positioning of companies in the markets are remarkable. Hence, the purpose of this paper is to analyze the origin, evolution and development of business analytics (BA) and its relationship with Artificial Intelligence (AI); from the conceptualization, evolution and identification of the main characteristics and research areas of AI and BA, as well as research conducted and published in journals indexed in Scopus between 2002 and 2022. The aim is to define the incidence of BA in business activities and analyze scientific activity and advances of BA to define new research horizons in this field. For this purpose, a bibliometric and documentary analysis is applied, allowing to highlight the findings that provide recognition and comparison of the results. This will facilitate the understanding of the current dynamics, its importance for organizations, and its impact in the face of the new challenges generated by the requirements of world trade.https://www.frontiersin.org/articles/10.3389/frai.2022.974180/fullartificial intelligencebusiness analyticseconomics and businesseconomicsgrow
spellingShingle Melva Inés Gómez-Caicedo
Mercedes Gaitán-Angulo
Jorge Bacca-Acosta
Carlos Yesid Briñez Torres
Jenny Cubillos Díaz
Business analytics approach to artificial intelligence
Frontiers in Artificial Intelligence
artificial intelligence
business analytics
economics and business
economics
grow
title Business analytics approach to artificial intelligence
title_full Business analytics approach to artificial intelligence
title_fullStr Business analytics approach to artificial intelligence
title_full_unstemmed Business analytics approach to artificial intelligence
title_short Business analytics approach to artificial intelligence
title_sort business analytics approach to artificial intelligence
topic artificial intelligence
business analytics
economics and business
economics
grow
url https://www.frontiersin.org/articles/10.3389/frai.2022.974180/full
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