Charting the Course of AI in Business Sustainability: A Bibliometric Analysis

Artificial intelligence (AI) sparked the attention of both researchers and the business community worldwide and has become a buzzword. Similarly, (business) sustainability emerged as a prominent and pivotal concept. Given the rapid evolution of the technological advancement in AI and its potential i...

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Main Authors: Panța Nancy, Popescu Nelu-Eugen
Format: Article
Language:English
Published: Sciendo 2023-12-01
Series:Studies in Business and Economics
Subjects:
Online Access:https://doi.org/10.2478/sbe-2023-0055
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author Panța Nancy
Popescu Nelu-Eugen
author_facet Panța Nancy
Popescu Nelu-Eugen
author_sort Panța Nancy
collection DOAJ
description Artificial intelligence (AI) sparked the attention of both researchers and the business community worldwide and has become a buzzword. Similarly, (business) sustainability emerged as a prominent and pivotal concept. Given the rapid evolution of the technological advancement in AI and its potential impact(s), this paper aims to identify the ways in which AI crosses paths with business sustainability, to provide an overview of the topic and to uncover research trends using a bibliometric approach. In order to reach the research goal of the paper, we investigated the academic literature published and indexed in Scopus database using computer assisted quantitative techniques on bibliometric data and with the help of VOSviewer we visually emphasized the interconnections between fields and results. Ultimately, the present paper intends to contribute to a deeper understanding of the symbiotic relationship between AI and business sustainability, by providing insights that are purposed to enhance the academic discourse in a rapidly evolving domain.
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spelling doaj.art-468cc23cc2bb4cf6baf730066b31639b2024-03-18T10:29:32ZengSciendoStudies in Business and Economics2344-54162023-12-0118321422910.2478/sbe-2023-0055Charting the Course of AI in Business Sustainability: A Bibliometric AnalysisPanța Nancy0Popescu Nelu-Eugen11Lucian Blaga University of Sibiu, Romania2Lucian Blaga University of Sibiu, RomaniaArtificial intelligence (AI) sparked the attention of both researchers and the business community worldwide and has become a buzzword. Similarly, (business) sustainability emerged as a prominent and pivotal concept. Given the rapid evolution of the technological advancement in AI and its potential impact(s), this paper aims to identify the ways in which AI crosses paths with business sustainability, to provide an overview of the topic and to uncover research trends using a bibliometric approach. In order to reach the research goal of the paper, we investigated the academic literature published and indexed in Scopus database using computer assisted quantitative techniques on bibliometric data and with the help of VOSviewer we visually emphasized the interconnections between fields and results. Ultimately, the present paper intends to contribute to a deeper understanding of the symbiotic relationship between AI and business sustainability, by providing insights that are purposed to enhance the academic discourse in a rapidly evolving domain.https://doi.org/10.2478/sbe-2023-0055artificial intelligence (ai)business sustainabilitybibliometric analysis
spellingShingle Panța Nancy
Popescu Nelu-Eugen
Charting the Course of AI in Business Sustainability: A Bibliometric Analysis
Studies in Business and Economics
artificial intelligence (ai)
business sustainability
bibliometric analysis
title Charting the Course of AI in Business Sustainability: A Bibliometric Analysis
title_full Charting the Course of AI in Business Sustainability: A Bibliometric Analysis
title_fullStr Charting the Course of AI in Business Sustainability: A Bibliometric Analysis
title_full_unstemmed Charting the Course of AI in Business Sustainability: A Bibliometric Analysis
title_short Charting the Course of AI in Business Sustainability: A Bibliometric Analysis
title_sort charting the course of ai in business sustainability a bibliometric analysis
topic artificial intelligence (ai)
business sustainability
bibliometric analysis
url https://doi.org/10.2478/sbe-2023-0055
work_keys_str_mv AT pantanancy chartingthecourseofaiinbusinesssustainabilityabibliometricanalysis
AT popescunelueugen chartingthecourseofaiinbusinesssustainabilityabibliometricanalysis