AI-Driven Eco-Conscious Production Management in Agri-Business: Accounting and Competitive Dynamics
The ongoing digitally enabled transformation processes have an impact on the accountability and efficiency of eco-conscious production systems. There is a significant research gap in understanding those operational complexities and finding data-driven responses to them. The aim of this work is to an...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | SHS Web of Conferences |
| Online Access: | https://www.shs-conferences.org/articles/shsconf/pdf/2025/07/shsconf_iciaites2025_01011.pdf |
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| author | Eshbayev Oybek Ibragimova Iroda Eshpulatov Dostonbek Jamalova Gulnora Mamadjanova Nozimaxon Rizaeva Kamola |
| author_facet | Eshbayev Oybek Ibragimova Iroda Eshpulatov Dostonbek Jamalova Gulnora Mamadjanova Nozimaxon Rizaeva Kamola |
| author_sort | Eshbayev Oybek |
| collection | DOAJ |
| description | The ongoing digitally enabled transformation processes have an impact on the accountability and efficiency of eco-conscious production systems. There is a significant research gap in understanding those operational complexities and finding data-driven responses to them. The aim of this work is to analyze the influence of AI-powered managerial factors on sustainable production outcomes in agri-business enterprises. Based on a review of the existing literature and sentiment analysis and cosine similarity method, we identify the drivers of green production performance as well as the competitive impacts of eco-conscious management strategies on these drivers. The results of the integrated computational analysis confirmed the hypothesis that to strengthen sustainable practices in agri-business, measures should be taken aiming at streamlining resource use, reducing environmental externalities, supporting intelligent forecasting and adaptive supply chains, developing real-time monitoring systems to provide decision transparency and strategic agility. The paper finishes with practical recommendations and policy directions for industry stakeholders. Thus, AI-driven eco-conscious production management boosts the competitive sustainability by helping to anticipate market shifts, optimize operational flows, and enhance value creation with increased resilience. Overall, we find that sentiment-driven indicators, easy-to-use AI-enabled dashboards can monitor perception fluctuations and changes related to environmental condition and managerial activity in three dominant agri-business clusters. |
| format | Article |
| id | doaj-art-94e3d31b2d324504aa37f5c52caa50b9 |
| institution | Matheson Library |
| issn | 2261-2424 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | SHS Web of Conferences |
| spelling | doaj-art-94e3d31b2d324504aa37f5c52caa50b92025-06-27T08:02:37ZengEDP SciencesSHS Web of Conferences2261-24242025-01-012160101110.1051/shsconf/202521601011shsconf_iciaites2025_01011AI-Driven Eco-Conscious Production Management in Agri-Business: Accounting and Competitive DynamicsEshbayev Oybek0Ibragimova Iroda1Eshpulatov Dostonbek2Jamalova Gulnora3Mamadjanova Nozimaxon4Rizaeva Kamola5PhD student, Digital Economy department, Tashkent State University of EconomicsAssociate Professor of the Department of Financial Analysis and Audit, Tashkent State University of EconomicsLecturer, Accounting and Finance department Faculty of Digital Economy and Innovation, Gulistan State UniversityTashkent State University of EconomicsPhD, associate professor of the department of Foreign languages, Tashkent State Pedagogical UniversitySenior teacher of “Foreign Languages” department of the Tashkent State Technical UniversityThe ongoing digitally enabled transformation processes have an impact on the accountability and efficiency of eco-conscious production systems. There is a significant research gap in understanding those operational complexities and finding data-driven responses to them. The aim of this work is to analyze the influence of AI-powered managerial factors on sustainable production outcomes in agri-business enterprises. Based on a review of the existing literature and sentiment analysis and cosine similarity method, we identify the drivers of green production performance as well as the competitive impacts of eco-conscious management strategies on these drivers. The results of the integrated computational analysis confirmed the hypothesis that to strengthen sustainable practices in agri-business, measures should be taken aiming at streamlining resource use, reducing environmental externalities, supporting intelligent forecasting and adaptive supply chains, developing real-time monitoring systems to provide decision transparency and strategic agility. The paper finishes with practical recommendations and policy directions for industry stakeholders. Thus, AI-driven eco-conscious production management boosts the competitive sustainability by helping to anticipate market shifts, optimize operational flows, and enhance value creation with increased resilience. Overall, we find that sentiment-driven indicators, easy-to-use AI-enabled dashboards can monitor perception fluctuations and changes related to environmental condition and managerial activity in three dominant agri-business clusters.https://www.shs-conferences.org/articles/shsconf/pdf/2025/07/shsconf_iciaites2025_01011.pdf |
| spellingShingle | Eshbayev Oybek Ibragimova Iroda Eshpulatov Dostonbek Jamalova Gulnora Mamadjanova Nozimaxon Rizaeva Kamola AI-Driven Eco-Conscious Production Management in Agri-Business: Accounting and Competitive Dynamics SHS Web of Conferences |
| title | AI-Driven Eco-Conscious Production Management in Agri-Business: Accounting and Competitive Dynamics |
| title_full | AI-Driven Eco-Conscious Production Management in Agri-Business: Accounting and Competitive Dynamics |
| title_fullStr | AI-Driven Eco-Conscious Production Management in Agri-Business: Accounting and Competitive Dynamics |
| title_full_unstemmed | AI-Driven Eco-Conscious Production Management in Agri-Business: Accounting and Competitive Dynamics |
| title_short | AI-Driven Eco-Conscious Production Management in Agri-Business: Accounting and Competitive Dynamics |
| title_sort | ai driven eco conscious production management in agri business accounting and competitive dynamics |
| url | https://www.shs-conferences.org/articles/shsconf/pdf/2025/07/shsconf_iciaites2025_01011.pdf |
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