{"title":"Interplays Between Artificial Intelligence and Sustainability in Business / Management. A Bibliometric Analysis","authors":"Claudia Ogrean","doi":"10.2478/sbe-2023-0041","DOIUrl":null,"url":null,"abstract":"Abstract The paper aims to identify the main research (threads and) trends and evaluate the relationships between (and the impact of) the publications/articles investigating the interplays between artificial intelligence (AI) and sustainability against a business or management related context. To reach this objective, 863 articles from Web of Science Core Collection were analyzed, using VOSviewer as a bibliometric tool. Performance analysis was employed to mainly explore the interest and popularity of the topic, assess the main interest areas and fields of both the sources and the publications, determine the most relevant SDGs for the topic, and identify the most popular journals hosting articles in the analyzed field. Science mapping was carried out to identify the most influential articles in the field, understand the antecedent topics/ideas (in the fields of AI and sustainability, respectively) contributing to the emergence of a new interest area at the intersection between AI and sustainability, appraise the current developments in the analyzed interest area, and discover new trends / areas for future research.","PeriodicalId":43310,"journal":{"name":"Studies in Business and Economics","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Studies in Business and Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/sbe-2023-0041","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract The paper aims to identify the main research (threads and) trends and evaluate the relationships between (and the impact of) the publications/articles investigating the interplays between artificial intelligence (AI) and sustainability against a business or management related context. To reach this objective, 863 articles from Web of Science Core Collection were analyzed, using VOSviewer as a bibliometric tool. Performance analysis was employed to mainly explore the interest and popularity of the topic, assess the main interest areas and fields of both the sources and the publications, determine the most relevant SDGs for the topic, and identify the most popular journals hosting articles in the analyzed field. Science mapping was carried out to identify the most influential articles in the field, understand the antecedent topics/ideas (in the fields of AI and sustainability, respectively) contributing to the emergence of a new interest area at the intersection between AI and sustainability, appraise the current developments in the analyzed interest area, and discover new trends / areas for future research.
本文旨在确定主要的研究(线索和)趋势,并评估在商业或管理相关背景下调查人工智能(AI)与可持续性之间相互作用的出版物/文章之间的关系(和影响)。为了达到这一目标,使用VOSviewer作为文献计量工具,对Web of Science核心馆藏中的863篇文章进行了分析。绩效分析主要用于探索该主题的兴趣和受欢迎程度,评估来源和出版物的主要兴趣领域和领域,确定与该主题最相关的可持续发展目标,并确定在分析领域中最受欢迎的期刊。科学地图是为了确定该领域最具影响力的文章,了解之前的主题/想法(分别在人工智能和可持续性领域),有助于在人工智能和可持续性之间的交叉点出现一个新的兴趣领域,评估所分析的兴趣领域的当前发展,并发现未来研究的新趋势/领域。