The key terms in the process of knowledge management and knowledge potential are analyzed. Groups of internal and external factors affecting knowledge potential are indicated. The factors of influence on the choice of electronic educational resources are highlighted. The interaction of participants in the educational process is depicted shematically, particularly in communities of the electronic educational environment. The list of probabilistic selection rules for choosing a source of knowledge and learning is given. The model of dynamics of dissemination of knowledge potential, taking into account the flow of knowledge from source to agent, is indicated. Modeling is described in the form of a generalized diffusion model of processes of redistribution of knowledge potential during e-learning, taking into account the replenishment of the source of knowledge. The influence of electronic educational resources on the replenishment of the teacher's knowledge, which transfers knowledge to students within a certain community, is given. The general structure of the process of formation of knowledge potential during e-learning, indicating sources of knowledge, factors of influence on participants of the educational process is shown, the processes of replenishment, transfer, and redistribution of knowledge are indicated.
- Sikora, Y. B. (2017). The use of knowledge management methods for e-learning organization. ITLT, 61(5), 162–174. https://doi.org/10.33407/itlt.v61i5.1718.
- Bloodgood, J. M. & Chen, A. N. K. (2022), Preventing organizational knowledge leakage: the influence of knowledge seekers’ awareness, motivation and capability. Journal of Knowledge Management, 26(9), 2145–2176. https://doi.org/10.1108/JKM-12-2020-0894.
- Shehzad, M., Zhang, J., Dost, M., Ahmad, M. S. & Alam, S. (2022). Knowledge management enablers and knowledge management processes: a direct and configurational approach to stimulate green innovation. European Journal of Innovation Management. https://doi.org/10.1108/EJIM-02-2022-0076.
- Kordab, M., Raudeliūnienė, J. & Meidutė-Kavaliauskienė, I. (2020). Mediating Role of Knowledge Management in the Relationship between Organizational Learning and Sustainable Organizational Performance. Sustainability, 12(23), 10061. https://doi.org/10.3390/su122310061.
- Nusrat, A., He, Y. & Luqman, A. (2022). Promoting Creativity with Social Media Knowledge Discussion Groups: Exploring the Moderating Role of Knowledge-Oriented Leadership, 51–64. https://doi.org/10.1007/978-3- 031-23012-7_4.
- Marbun, D. S., Juliandi, A., & Effendi, S. (2020). The Effect of Social Media Culture and Knowledge Transfer on Performance. Budapest International Research and Critics Institute-Journal (BIRCI-Journal), 3(3), 2513– 2520. https://doi.org/10.33258/birci.v3i3.1234.
- Liu, X., Li, Y., Chen, L., GengXiang, C. & Zhao, B. (2023). Multiple source partial knowledge transfer for manufacturing system modelling. Robotics and Computer-Integrated Manufacturing, 80, 102468. https://doi.org/10.1016/j.rcim.2022.102468.
- Magotra, A. & Kim, J. (2020). Improvement of Heterogeneous Transfer Learning Efficiency by Using Hebbian Learning Principle. Applied Sciences, 10(16), 5631. https://doi.org/10.3390/app10165631.
- Pocol, C. B., Stanca, L., Dabija, D.-C., Câmpian, V., Mișcoiu, S. & Pop, I. D. (2023). A QCA Analysis of Knowledge Co-Creation Based on University–Industry Relationships. Mathematics, 11(2):388. https://doi.org/10.3390/math11020388.
- Osman, Mohamad & Mohd Noah, Shahrul Azman & Saad, Saidah. (2022). Ontology-Based Knowledge Management Tools for Knowledge Sharing in Organization – A Review. IEEE Access, 13(1), 342. https://doi.org/10.1109/ACCESS.2022.3163758.
- Ferrer-Serrano, M., Fuentelsaz, L. & Latorre, P. (2021). Examining knowledge transfer and networks: an overview of the last twenty years. Journal of Knowledge Management, 26(8), 2007–2037. https://doi.org/10.1108/JKM- 04-2021-0265.
- Yang, C., Fu, L. & Gan, X. (2021). Evolving Knowledge Graph-Based Knowledge Diffusion Model. 1715, 145. https://doi.org/10.1109/WCNC49053.2021.9417427.
- Jakubik, M. (2022). Comparing knowledge management and wisdom management. In Proceedings 17th International Conference on Knowledge Management, 36, 36–47.
- Hao, Y., Wang, X., Lin, Y. & Zhang, C. (2022). Dynamics Modeling of Knowledge Dissemination Process in Online Social Networks. CWSN 2022. Communications in Computer and Information Science, 1715, 145–153. https://doi.org/10.1007/978-981-19-8350-4_12.
- Кравчук, І., Присяжнюк, О. & Лавриненко, С. (2023). Формування знаннєвого потенціалу адмі- ністрування у професійному розвитку менеджера. Економіка та суспільство, (47). https://doi.org/10.32782/2524- 0072/2023-47-64.
- Pasichnyk, V., Bomba, A., Nazaruk, M. & Kunanets, N. (2021). The dynamics simulation of knowledge potentials of agents including the feedback. Journal of Physics: Conference Series, 1840, 012020. https://doi.org/10.1088/1742-6596/1840/1/012020.
- Bomba, A., Nazaruk, M., Kunanets, N. & Pasichnyk, V. (2020). Modeling the Dynamics of Knowledge Potential of Agents in the Educational Social and Communication Environment. Advances in Intelligent Systems and Computing IV. CSIT 2019, 1080. https://doi.org/10.1007/978-3-030-33695-0_2.
- Bomba, A., Lechachenko, T. & Nazaruk, M. (2021). Modeling the Dynamics of “Knowledge Potentials” of Agents Including the Stakeholder Requests. Advances in Computer Science for Engineering and Education, 84, 75– 88. https://doi.org/10.1007/978-3-030-80472-5_7
- Kunanets, N. E., Lenko, V. S., Pasichnyk, V. V., & Shcherbyna, Y. M. (2017). Personal data and knowledge bases of virtual research communities. Scientific Bulletin of UNFU, 27(6), 185–191. https://doi.org/10.15421/40270638.
- Raudeliuniene, J. (2022). Organizational Knowledge Potential: Peculiarities of Formation Strategic Decisions. Journal of System and Management Sciences, 12(6), 548–560. https://doi.org/10.33168/JSMS.2022.0632.
- Ioannidis, E., Varsakelis, N. & Antoniou, I. (2021). Intelligent Agents in Co-Evolving Knowledge Networks. Mathematics, 9(1), 103. https://doi.org/10.3390/math9010103.
- Bomba, A., Nazaruk, M., Pasichnyk V. (2014). Construction of a diffusion-like model of the information process for the dissemination of the knowledge potential. Bulletin of the Lviv Polytechnic National University. Computer Science and Information Technology, (800), 35–44.
- Bomba, A., Nazaruk, M., Kunanets, N., Pasichnyk V. (2015). A generalized diffusion-like model of the information process for the dissemination of the knowledge potential. Radio Electronics, Computer Science, Control, (3 (34)), 64–70.
- Nguyen, B., Radnejad, A. B., Verbeke, A. & Zoirou, A. (2022). ICT knowledge transfer in complex organizations: Investigating antecedents of potential absorptive capacity. Journal of Information Technology Case and Application Research. 24(3). 184–223. https://doi.org/10.1080/15228053.2022.2072162.
- Li, X. & Zhang, B. (2019). Workflow-based Knowledge Flow Modeling and Research: Combination of Knowledge and Workflow. CSAE 2019: Proceedings of the 3rd International Conference on Computer Science and Application Engineering, 34, 1–6. https://doi.org/10.1145/3331453.3362051.
- Yang, B. & Yang, M. (2022). Research on enterprise knowledge service based on semantic reasoning and data fusion. Neural Comput & Applic, 34, 9455–9470. https://doi.org/10.1007/s00521-021-06382-z.
- Yunchyk, V. L., Kunanets, N. E., Pasichnyk, V. V. & Fedoniuk, A. A. (2021). Analysis of Artificial Intellectual Agents for E-Learning Systems. Information Systems and Networks, 10, 41–57. https://doi.org/ 10.23939/sisn2021.10.041.