ESG Management of Sustainable Business Development in the Context of Digital Transformation of the Russian Economy

I. Morozova, A. I. Smetanina, A. S. Smetanin
{"title":"ESG Management of Sustainable Business Development in the Context of Digital Transformation of the Russian Economy","authors":"I. Morozova, A. I. Smetanina, A. S. Smetanin","doi":"10.15826/vestnik.2023.22.2.018","DOIUrl":null,"url":null,"abstract":"The problem is that the ESG management practices that are emerging in Russia do not fully take into account the context of digital transformation, which reduces their effectiveness. The article is aimed at developing a promising approach to ESG management of sustainable business development in the context of the digital transformation of the Russian economy. A hypothesis has been put forward that the sustainability of business development depends on the use of artificial intelligence, big data and ESG management, the system management of which generates a synergistic effect. Using the method of regression analysis based on the data of the International Monetary Fund and IMD for 2022, economic and mathematical modeling was carried out: the dependence of sustainable business development: 1) on the management of digital business transformation; 2) from ESG management and 3) from the use of artificial intelligence, big data and from ESG management. Econometric models are used to predict the consequences of isolated (in model 1 and model 2) and systemic (in model 3) ESG management of sustainable business development in the context of digital transformation. As a result, it was revealed that the most favorable conditions for sustainable business development are created in model 3, which assumes ESG management and reveals the potential of digital transformation. The shortcoming of the existing practice of managing sustainable business development associated with the isolation of ESG management from the management of digital business transformation is substantiated. It is recommended that this practice be improved with the help of artificial intelligence and big data. The theoretical significance of the article lies in the fact that it proposes a new - systematic vision of the ESG management of sustainable business development in the context of digital transformation. In the author's vision, the integration of two previously separate areas of management is ensured through the use of artificial intelligence and big data. The practical significance of the developed approach to business ESG management in the context of the digital transformation of the Russian economy is related to improving the efficiency of Russian business management by increasing its sustainability and better unlocking the potential of digital transformation.","PeriodicalId":44290,"journal":{"name":"Margin-Journal of Applied Economic Research","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Margin-Journal of Applied Economic Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15826/vestnik.2023.22.2.018","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: 1

Abstract

The problem is that the ESG management practices that are emerging in Russia do not fully take into account the context of digital transformation, which reduces their effectiveness. The article is aimed at developing a promising approach to ESG management of sustainable business development in the context of the digital transformation of the Russian economy. A hypothesis has been put forward that the sustainability of business development depends on the use of artificial intelligence, big data and ESG management, the system management of which generates a synergistic effect. Using the method of regression analysis based on the data of the International Monetary Fund and IMD for 2022, economic and mathematical modeling was carried out: the dependence of sustainable business development: 1) on the management of digital business transformation; 2) from ESG management and 3) from the use of artificial intelligence, big data and from ESG management. Econometric models are used to predict the consequences of isolated (in model 1 and model 2) and systemic (in model 3) ESG management of sustainable business development in the context of digital transformation. As a result, it was revealed that the most favorable conditions for sustainable business development are created in model 3, which assumes ESG management and reveals the potential of digital transformation. The shortcoming of the existing practice of managing sustainable business development associated with the isolation of ESG management from the management of digital business transformation is substantiated. It is recommended that this practice be improved with the help of artificial intelligence and big data. The theoretical significance of the article lies in the fact that it proposes a new - systematic vision of the ESG management of sustainable business development in the context of digital transformation. In the author's vision, the integration of two previously separate areas of management is ensured through the use of artificial intelligence and big data. The practical significance of the developed approach to business ESG management in the context of the digital transformation of the Russian economy is related to improving the efficiency of Russian business management by increasing its sustainability and better unlocking the potential of digital transformation.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
俄罗斯经济数字化转型背景下可持续商业发展的ESG管理
问题在于,俄罗斯正在兴起的ESG管理实践并没有充分考虑到数字化转型的背景,这降低了它们的有效性。本文旨在在俄罗斯经济数字化转型的背景下,开发一种有前途的可持续商业发展的ESG管理方法。提出了一个假设,业务发展的可持续性取决于人工智能、大数据和ESG管理的使用,它们的系统管理产生协同效应。基于国际货币基金组织和IMD对2022年的数据,采用回归分析的方法,进行了经济和数学建模:可持续业务发展的依赖:1)对数字化业务转型管理的依赖;2)来自ESG管理,3)来自人工智能、大数据和ESG管理的使用。计量经济模型用于预测数字化转型背景下可持续业务发展的孤立(模型1和模型2)和系统(模型3)ESG管理的后果。结果显示,模型3为可持续业务发展创造了最有利的条件,该模型假设了ESG管理,并揭示了数字化转型的潜力。现有的可持续业务发展管理实践存在着ESG管理与数字化业务转型管理相分离的缺陷。建议在人工智能和大数据的帮助下改进这种做法。本文的理论意义在于提出了数字化转型背景下企业可持续发展的ESG管理的系统新视角。在作者的愿景中,通过使用人工智能和大数据来确保两个先前独立的管理领域的整合。在俄罗斯经济数字化转型背景下,企业ESG管理方法的现实意义在于,通过提高可持续性和更好地释放数字化转型的潜力,提高俄罗斯企业管理的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
2.40
自引率
0.00%
发文量
0
期刊最新文献
Correlation Assessment of Environmental and Energy Features of Wastewater Treatment Plants Towards Circular Economy Special Economic Zones of Russia: Forecasting Decisions of Potential Residents and Resident Generation Process Modeling Assessment of the Impact of Transparency and Affordability of Technological Connection on the Developer's Decision on New Construction in Russian Cities Determinants of Credit Growth: An Empirical Study of Commercial Banks in Indonesia The Impact of Religious Traditions and Education Levels on Innovation Activity in Countries with Different Income Levels
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1