The Role of Adaptive Management in Ensuring Enterprises’ Sustainable Development
Abstract
In an ever-evolving business landscape, designing adaptive management systems and agile business models emerges as a pivotal element in guaranteeing companies’ enduring growth and competitiveness in the long term. The aim of the study is to examine the role of adaptive management in ensuring the enterprise’s stable development in a changing business environment. The study utilized empirical methods such as: experimental method, questionnaire method, analysis method, control method based on key performance indicators and modeling method. The mechanism of adaptive management of the enterprise has been developed and tested within the framework of the training course. The author's model of manufacturing enterprises’ adaptive management via the introduction of digital tools into the business model of sustainable development is presented. The survey results demonstrated that the implementation of adaptive management helped their companies achieve key performance indicators. Namely: strategic - 79%, operational - 81%, financial - 76%, production - 84%, marketing - 86%, HR - 77%. The expediency of introducing an adaptive approach to management was confirmed by 93% of respondents. The practical significance of the study lies in the presented model of adaptive enterprise management. It can serve as the basis for the development of sustainable development programs in the context of Industry 4.0.
References
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[20] Marion, Tucker, Yuan, Chelsea, and Moghaddam, Mohsen (2025). Integrating AI into the Front End of New Product Development. Research-Technology Management 68(2): 10-22. DOI:https://doi.org/10.1080/08956308.2024.2444142
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[26] Rane, Nitin L. (2023). Role and challenges of ChatGPT and similar generative artificial intelligence in business management. DOI: http://dx.doi.org/10.2139/ssrn.4603227
[27] Rangwala, Tasneem (2024). Literature Review: Adaptive Planning Practices. Water 16: 1657. DOI:https://doi.org/10.3390/w16121657
[28] Rogers, Patricia, and Macfarlan, Alice (2020). What is adaptive management and how does it work? Monitoring and Evaluation for Adaptive Management Working Paper Series 2, www.betterevaluation.org/monitoring_and_evaluation_for_adaptive_management_ series
[29] Roy, Sanjit K., Dey, Bidit L., Brown, David M. et al. (2025). Business model innovation through AI adaptation: The role of Strategic Human Resources Management. British Journal of Management 00: 1-14. DOI:https://doi.org/10.1111/1467-8551.12894
[30] Santos, Márcia R. C., and Carvalho, Luísa Cagica (2025). AI-driven participatory environmental management: Innovations, applications, and future prospects. Journal of Environmental Management, 373: 12386. DOI:https://doi.org/10.1016/j.jenvman.2024.123864
[31] Sena, Vania, and Nocker, Manuela (2021). AI and business models: the good, the bad and the ugly. Foundations and Trends in Technology, Information and Operations Management 14(4): 324-397. DOI:https://doi.org/10.1561/0200000100
[32] Wahab, Mohammad Deal Abdul, and Radmehr, Mehrshad (2024). Influence of AI assimilation on firm performance in small and medium-sized enterprises: A moderated multi-mediation model. Helion 10: 29580. DOI:https://doi.org/10.1016/j.heliyon.2024.e29580
[33] Zinchenko, Olha, Privarnikova, Irina, and Samoilenko, Alla (2022). Adaptive strategic management in a digital business environment. Baltic Journal of Economic Studies 8(3): 78-85. DOI:https://doi.org/10.30525/2256-0742/2022-8-3-78-85
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[35] Skillshare online platform. Become a pro with thousands of creative classes. Skillshare online platform. https://www.skillshare.com.
[36] USAID (2018). Collaborating, learning & adapting case analysis: Deep dive summary – global communities' Ebola response in Liberia https://usaidlearninglab.org/library/globa L-communities%e 2% 80% 99-ebola-response-liberia-cla-case-analysis-deep-dive
[2] Aldoseri, Abdulaziz, Al-Khalifa, Khalifa N., and Hamouda, Abdel Magid. (2024). AI-powered innovation in digital transformation: Key pillars and industry impact. Sustainability 16: 1790. DOI:https://doi.org/10.3390/su16051790
[3] Almutairi, Alhanof, and Ghandour, Ahmad. (2021). Enterprise systems adaptability and its role to determine organizational sustainability and resilience: A systematic literature review. MENACIS https://aisel.aisnet.org/menacis2021/4
[4] Ameen, Nisreen et al. (2024). Coupling artificial intelligence capability and strategic agility for enhanced product and service creativity. The British Journal of Management 35(4): 1–19. https://doi.org/101111/1467-8551.12797
[5] Arefiev, Serhii et al. (2023). Marketing and logistics in the adaptive management of enterprises in the condition of digitalization. Journal of Theoretical and Applied Information Technology 101(8): 3121-3132. http://www.jatit.org/volumes/Vol101No8/26Vol101No8.pdf
[6] Bejarano-Auqui, Jesús Fernando (2024). Model of business management based on the theories of management thinking of the mypes. Academic Journal of Interdisciplinary Studies 13(1): 98-115. DOI:https://doi.org/10.36941/ajis-2024-0008
[7] Bhardwaj, Jagjot, Awasthi, Shantanu, and Dhoni, Pan Singh (2025). Generative AI: Shaping the Future of Business Intelligence and Data-Driven Decision-Making. International Journal of Artificial Intelligence & Machine Learning (IJAIML) 4(1): 1-8. DOI: https://doi.org/10.34218/IJAIML_04_01_001
[8] Bruno, Zuo (2024). The impact of artificial intelligence on business operations. Global Journal of Management and Business Research: Accounting and Auditing 24(D1). DOI:https://doi.org/10.34257/gjmbrdvol24is1pg1
[9] Chen, Donghua, Esperanca, José Paulo, and Wang, Shaofeng (2022). The impact of artificial intelligence on firm performance: An application of the resource-based view to E-commerce firms. Frontiers in Psychology 13: 884830. https://doi.org/10.3389/fpsyg.2022.884830
[10] Daskalopoulos, Efthymios Timo, and Machek, Ondrej (2025). Shaping ambidextrous organisations through AI and decision-making: a distinct path for family firms? Journal of Family Business Management ahead-of-print. DOI: https://doi.org/10.1108/JFBM-01-2025-0032
[11] Farayola, Oluwatoyin Ajoke et al. (2023). Innovative business models driven by AI technologies: A review. Computer Science & IT Research Journal 4(2): 85-110. DOI: https://doi.org/10.51594/csitrj.v4i2.608
[12] Gin, Garrison Keillor (2025). Advancing Artificial Intelligence and Machine Learning for Adaptive Decision-Making and Enhanced Predictive Analytics. International Journal of Information Technology 6(3): 1-6. DOI:https://iscsitr.com/index.php/ISCSITR-IJIT
[13] Ghosh, Uday Kumar (2025). Transformative AI Applications in Business Decision- Making: Advancing Data- Driven Strategies and Organizational Intelligence. IGI Global Scientific Publishing. DOI:https://doi.org/10.4018/979-8-3373-1687-1.ch001
[14] Gutierrez-Broncano, Santiago et al. (2024). Can hybrid strategy improve SME performance? The role of innovation and adaptive capacity. European Journal of Innovation Management 27(9): 173-197. DOI:https://doi.org/10.1108/ejim-07-2023-0566
[15] Jawad, Zainab Nadhim, and Balázs, Villányi (2024). Machine learning-driven optimization of enterprise resource planning (ERP) systems: a comprehensive review. Beni-Suef University Journal of Basic and Applied Sciences 13:4. DOI: https://doi.org/10.1186/s43088-023-00460-y
[16] Korytko, Tetiana, and Pіletska, Samira (2022). Model of the adaptive management system of an industrial enterprise in the conditions of industry 4.0. Economic Herald of Donbass 4(70): 76-80. DOI:https://doi.org/10.12958/1817-3772-2022-4(70)-76-80
[17] Lecocq, Xavier, Warnier, Vanessa, Demil, Benoît, Plé, Loïc (2024). Using artificial intelligence (AI) generative technologies for business model design with an ideate process: A speculative viewpoint. Journal of Business Models 12(1): 21-35.
[18] Lelyk, Liubov, Olikhovskyi, Volodymyr, Mahas, Nataliia, and Olikhovska, Marta (2022). An integrated analysis of enterprise economy security. Decision Science Letters 11(3): 299-310. DOI:https://doi.org/10.5267/j.dsl.2022.2.003
[19] Madanaguli, Arun, Sjödin, David, Parida, Vinit, and Mikalef, Patrick (2024). Artificial intelligence capabilities for circular business models: Research synthesis and future agenda. Technological Forecasting & Social Change DOI: 200: 123189. DOI: https://doi.org/10.1016/j.techfore.2023.123189
[20] Marion, Tucker, Yuan, Chelsea, and Moghaddam, Mohsen (2025). Integrating AI into the Front End of New Product Development. Research-Technology Management 68(2): 10-22. DOI:https://doi.org/10.1080/08956308.2024.2444142
[21] Naeem, Rimsha, Kohtamaki, Marko, and Parida, Vinit (2024). Artificial intelligence enabled product-service innovation: past achievements and future directions. Review of Managerial Science, DOI:https://doi.org/10.1007/s11846-024-00757-x
[22] Nikonenko, Uliana et al. (2022). Assessing the policy of attracting investments in the main sectors of the economy in the context of introducing aspects of industry 4.0. International Journal of Sustainable Development and Planning 17(2): 497-505. DOI: https://doi.org/10.18280/ijsdp.170214
[23] Orishede, Felix, Ashibogwu, Nze Kingsley, and Igemohia, Mohammed (2024). Business intelligence system and firms' adaptive ability: Evidencia da país desarrollado. Journal of Gestão Social and Ambiental 18(8): 1-13. DOI: https://doi.org/10.24857/rgsa.v18n8-055
[24] Pallathadka, Harikumar et al. (2023). Applications of artificial intelligence in business management, e-commerce and finance. Materials Today: Proceedings 80(3): 2610-2613. DOI:https://doi.org/10.1016/j.matpr.2021.06.419
[25] Prasanth, Anupama, Vadakkan, Densy John, Surendran, Priyanka, and Thomas, Bindhya (2023). Role of artificial intelligence and business decision making. International Journal of Advanced Computer Science and Applications 14(6): 965-969. DOI: http://www.ijacsa.thesai.org
[26] Rane, Nitin L. (2023). Role and challenges of ChatGPT and similar generative artificial intelligence in business management. DOI: http://dx.doi.org/10.2139/ssrn.4603227
[27] Rangwala, Tasneem (2024). Literature Review: Adaptive Planning Practices. Water 16: 1657. DOI:https://doi.org/10.3390/w16121657
[28] Rogers, Patricia, and Macfarlan, Alice (2020). What is adaptive management and how does it work? Monitoring and Evaluation for Adaptive Management Working Paper Series 2, www.betterevaluation.org/monitoring_and_evaluation_for_adaptive_management_ series
[29] Roy, Sanjit K., Dey, Bidit L., Brown, David M. et al. (2025). Business model innovation through AI adaptation: The role of Strategic Human Resources Management. British Journal of Management 00: 1-14. DOI:https://doi.org/10.1111/1467-8551.12894
[30] Santos, Márcia R. C., and Carvalho, Luísa Cagica (2025). AI-driven participatory environmental management: Innovations, applications, and future prospects. Journal of Environmental Management, 373: 12386. DOI:https://doi.org/10.1016/j.jenvman.2024.123864
[31] Sena, Vania, and Nocker, Manuela (2021). AI and business models: the good, the bad and the ugly. Foundations and Trends in Technology, Information and Operations Management 14(4): 324-397. DOI:https://doi.org/10.1561/0200000100
[32] Wahab, Mohammad Deal Abdul, and Radmehr, Mehrshad (2024). Influence of AI assimilation on firm performance in small and medium-sized enterprises: A moderated multi-mediation model. Helion 10: 29580. DOI:https://doi.org/10.1016/j.heliyon.2024.e29580
[33] Zinchenko, Olha, Privarnikova, Irina, and Samoilenko, Alla (2022). Adaptive strategic management in a digital business environment. Baltic Journal of Economic Studies 8(3): 78-85. DOI:https://doi.org/10.30525/2256-0742/2022-8-3-78-85
[34] Zheng, Jianwen et al. (2025). Empowering radical innovation: how digital technologies drive knowledge transfer and co‐creation in innovation ecosystems. R&D Management 0: 1-15. DOI:https://doi.org/10.1111/radm.12764
[35] Skillshare online platform. Become a pro with thousands of creative classes. Skillshare online platform. https://www.skillshare.com.
[36] USAID (2018). Collaborating, learning & adapting case analysis: Deep dive summary – global communities' Ebola response in Liberia https://usaidlearninglab.org/library/globa L-communities%e 2% 80% 99-ebola-response-liberia-cla-case-analysis-deep-dive
Published
2025-03-31
How to Cite
HURZHYI, Nataliia et al.
The Role of Adaptive Management in Ensuring Enterprises’ Sustainable Development.
Theoretical and Practical Research in Economic Fields, [S.l.], v. 16, n. 1, p. 245 - 257, mar. 2025.
ISSN 2068-7710.
Available at: <https://journals.aserspublishing.eu/tpref/article/view/8792>. Date accessed: 11 apr. 2025.
doi: https://doi.org/10.14505/tpref.v16.1(33).20.
Section
Articles
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