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dc.contributor.authorMorozova, Irina A.-
dc.contributor.authorSmetanina, Anastasia I.-
dc.contributor.authorSmetanin, Anton S.-
dc.date.accessioned2024-02-16T19:16:38Z-
dc.date.available2024-02-16T19:16:38Z-
dc.date.issued2023-12-
dc.identifier.citationMorozova I. A., Smetanina A. I., Smetanin A. S. 2023. ESG quality management: Тhe role of digital business transformation. Vestnik of Saint Petersburg University. Management 22 (4): 530–555. https://doi.org/10.21638/11701/spbu08.2023.404 (In Russian)en_GB
dc.identifier.otherhttps://doi.org/10.21638/11701/spbu08.2023.404-
dc.identifier.urihttp://hdl.handle.net/11701/44897-
dc.description.abstractThe article explores the prospects for the most complete elucidation of the potential of Russian business products for improving their quality through the ESG quality management in the context of digital business transformation based on artificial intelligence and big data. Econometric modeling of the dependence of the quality management effectiveness in business is carried out by using the method of regression analysis. Two alternative models are constructed and compared. The first model is compiled in isolation from the effectiveness of ESG management. The second model is compiled together with the effectiveness of ESG management and the active use of artificial intelligence and big data in business. The prospects for increasing the effectiveness of quality management in Russian business along with maximizing the effectiveness of ESG management are evaluated based on the best international experience and the obtained regression models. Comparison of the results in the alternative models allowed the authors to justify the advantages of ESG quality management based on artificial intelligence and big data. The results include the development of a forward-thinking approach to ESG quality management in the context of digital business transformation. This approach provides a number of advantages for ESG quality management including firstly, broader opportunities for obtaining state (tax, subsidiary) support for the introduction of artificial intelligence and big data the flexibility to raise funding through a combination of sustainable investments in ESG and investments in artificial intelligence and big data. Secondly, more stable consumer preferences, more sustainable competitive advantages, and higher and more permanent loyalty. Thirdly, reliance on dynamically developing and increasingly accessible technologies for intellectual support in making managerial decisions based on artificial intelligence and big data (technologies are being introduced into the activities of the business itself).en_GB
dc.language.isoruen_GB
dc.publisherSt Petersburg State Universityen_GB
dc.relation.ispartofseriesVestnik of St Petersburg University. Management;Volume 22; Issue 4-
dc.subjectquality managementen_GB
dc.subjectbusiness managementen_GB
dc.subjectESG managementen_GB
dc.subjectdigital transformationen_GB
dc.subjectartificial intelligenceen_GB
dc.subjectbig dataen_GB
dc.titleESG quality management: Тhe role of digital business transformationen_GB
dc.typeArticleen_GB
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