Штучний інтелект

Науковий журнал

ISSN 2710-1673

ONLINE: ISSN 2710-1681

Виберіть свою мову


Інтеграція процесів управління знаннями в динамічне середовище організації

Симонов Д.І.1, Симонов Є.Д.1
1 Інститут кібернетики ім. В.М. Глушкова НАН України
denys.symonov@gmail.com; e.symonov@gmail.com

Повний текст (PDF)

УДК: 004.93:519.71
Мова публікації: Англійська
Stuc. intelekt. 2024; 29; (2):98-106

Анотація: The article is devoted to the study of the impact of intellectual resources in the form of knowledge bases on the sustainable development of organizations. In today's world, where Knowledge is a key resource for success, the integration of Knowledge Management becomes an important component to ensure organizational competitiveness. The study emphasizes that successful implementation of artificial intelligence and knowledge bases requires not only technological solutions but also cultural changes within organizations, particularly in the areas of learning culture and collaboration. The authors of the article investigate the processes of acquisition, combination, and protection of Knowledge as key components of organizational sustainable development. They point out that the ability to acquire and combine Knowledge allows organizations to realize their potential in value creation. Knowledge Management is presented as a strategic component aimed at increasing productivity and competitiveness. The article discusses higher-order capabilities, such as adaptability, absorptive capacity, and innovation capacity, which affect the ability of organizations to respond to changes in the external environment. The algorithm for Knowledge utilization in organizations describes a comprehensive intellectual platform for managing and optimizing processes in the dynamic organizational environment. The Knowledge Management system includes managed and managing components, where the managed system reflects current parameters and information, while the managing system provides data storage, learning, and ontological knowledge base. The ontological knowledge base includes a set of concepts, semantic relationships, interpretation function, and axioms. Knowledge base updates occur depending on changes in time and the addition of new concepts, relationships, and axioms. Generalized ER-diagrams illustrate the structure and interaction of the learning module with the results used to update the Knowledge base. The algorithm allows you to analyze the state of the system and make optimal decisions based on the accumulated Knowledge.

Ключові слова: Knowledge base, Knowledge utilization algorithm, ER diagram, ontology, aspects of sustainable development

Посилання:

  1. Schrage, M., Kiron, D., Candelon, F., Khodabandeh, S., Chu, M. (2024). The Future of Strategic Measurement: Enhancing KPIs With AI. MIT Sloan Management Review and Boston Consulting Group, February 2024. Available at MIT Sloan Management Review: https://sloanreview.mit.edu/projects/the-future-ofstrategic-measurement-enhancing-kpis-with-ai/
  2. Ahmed, A., AlHakimi, A. (2017). A Critical review of a Typical Knowledge Management process: IBM case study. Journal of Education and Social Sciences, vol. 6, issue 2, 130-136.
  3. Impact of Knowledge Management on Nokia Corporation. Accessed: 04.04.2024. Available at IvyPanda: https://ivypanda.com/essays/impact-of-knowledgemanagement-on-nokia-corporation-coursework/
  4. Russ, M. (2021). Knowledge Management for Sustainable Development in the Era of Continuously Accelerating Technological Revolutions: A Framework and Models. Sustainability, vol. 13, issue 6, 3353. doi: 10.3390/su13063353.
  5. Ul‐Durar, S., Awan, U., Varma, A., Memon, S., Mention, A. (2023). Integrating knowledge management and orientation dynamics for organization transition from eco-innovation to circular economy. J. Knowl. Manag, vol. 27, 2217-2248. doi: 10.1108/JKM-05-2022-0424.
  6. Pattanasing, K., Aujirapongpan, S., Dowpiset, K., Chanthawong, A., Jiraphanumes, K., Hareebin, Y. (2022). Dynamic Knowledge Management Capabilities: An Approach to High-Performance Organization. HighTech and Innovation Journal vol. 3, issue 3, 243-251. doi: 10.28991/HIJ-2022-03-03-01.
  7. Dupouët, O., Pitarch, Y., Ferru, M., Bernela, B. (2024). Community dynamics and knowledge production: forty years of research in quantum computing. Journal of Knowledge Management, vol. 28, issue 3, 651-672. doi: 10.1108/JKM-01-2023-0083.
  8. Xue, C.T. (2017). A Literature Review on Knowledge Management in Organizations. Research in Business and Management, vol. 4, issue 1, 30-41. doi: 10.5296/rbm.v4i1.10786.
  9. Davenport, T.H. (2011). Rethinking knowledge work: A strategic approach. McKinsey’s Quarterly, vol. 1. 11 pages.
  10. Mikalauskiene, A., Atkociuniene, Z. (2019). Knowledge Management Impact on Sustainable Development. Montenegrin journal of economics, vol. 15, 149-160. doi: 10.14254/1800-5845/2019.15-4.11.
  11. Palagin, O., Symonov, D. (2022). Cybernetic model of rational world order under the paradigm of directed evolution. The International Scientific and Technical Journal "Problems of Control and Informatics", vol. 67, issue 6, 54-66. doi: 10.34229/1028-0979-2022-6-5.
  12. Zheng, S., Zhang, W., Du, J. (2011). Knowledge-based dynamic capabilities and innovation in networked environments. Journal of Knowledge Management, vol. 15, issue 6, 1035–1051.
  13. Kaur, V., Mehta, V. (2016). Knowledge-based dynamic capabilities: A new perspective for achieving global competitiveness in IT sector. Pacific Business Review International, vol. 1, issue 3, 96–106.
  14. Abas, Z., Jali, M.N. (2015). Understanding knowledge management in developing emerging concept of innovation and technology into business: Conceptual review and empirical evidence. International Academic Research Journal of Business and Technology, vol. 1, issue 2, 149–164.
  15. Symonov, D. I. (2023). Competitive models of placement of customer service centers. Scientific Bulletin of Uzhhorod University. Series of Mathematics and Informatics, vol. 42, issue 1, 208–215.doi:10.24144/2616-7700.2023.42(1).208-215.
  16. Palahіn, O.V., Petrenko, M.H. (2017). Explanatory Ontological Dictionary of Knowledge Engineering. Kyiv: Interservis. 478 p.

Переглянути повний текст статті (PDF)