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

Author:

Panța Nancy1,Popescu Nelu-Eugen1

Affiliation:

1. Lucian Blaga University of Sibiu , Romania

Abstract

Abstract 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.

Publisher

Walter de Gruyter GmbH

Reference36 articles.

1. Communication from the Commission to the European Parliament, the European Council, the Council, the European Economic and Social Committee and the Committee of the Regions on Artificial Intelligence for Europe. (2018). European Commission. https://ec.europa.eu/transparency/documents-register/api/files/COM(2018)237_0/de00000000142394?rendition=false

2. Dyllick, T., & Muff, K. (2016). Clarifying the Meaning of Sustainable Business: Introducing a Typology From Business-as-Usual to True Business Sustainability. Organization & Environment, 29(2), 156–174. https://doi.org/10.1177/1086026615575176

3. European Commission, Directorate-General for Communications Networks, Content and Technology. (2020). COM(2020) 65 final. https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX:52020DC0065

4. Goralski, M. A., & Tan, T. K. (2020). Artificial intelligence and sustainable development. The International Journal of Management Education, 18(1), 100330. https://doi.org/10.1016/j.ijme.2019.100330

5. Hallioui, A., Herrou, B., Santos, R. S., Katina, P. F., & Egbue, O. (2022). Systems-based approach to contemporary business management: An enabler of business sustainability in a context of industry 4.0, circular economy, competitiveness and diverse stakeholders. Journal of Cleaner Production, 373, 133819. https://doi.org/10.1016/j.jclepro.2022.133819

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3