Authors:
Vasyl Porokhnya
1
;
Vladyslav Penev
1
;
Roman Ivanov
2
and
Volodymyr Kravchenko
1
Affiliations:
1
Classical private university, 70B Zhukovsky Str., Zaporizhzhia, 69061, Ukraine
;
2
Oles Honchar Dnipropetrovsk National University, 72 Gagarin Ave., Dnipro, 49000, Ukraine
Keyword(s):
Q-Leaning, Organizational Capital, Strategy, Q-Leaning, Optimization of Organizational Capital, Concept of Alternative Selection.
Abstract:
As part of the follow-up, the conceptual pipeline was developed to the stage of machine learning Q-leaning with the method of eliminating the most effective strategy for the development of organizational capital in the structure of intellectual capital and increasing the reliability of taking away the results. In the final work, the modeling of alternative strategies for the development of organizational capital with the alternatives of machine learning was modeled. This simulation made it possible to simplify the search and development of options for strategies for the development of organizational capital, real alternative ways, and to simplify management decisions. For a more correct operation of machine learning, coefficients were introduced that affect the decision-making by machine learning. Results indicate that the capital of the strategy is the acquisition of innovative information potential and the capital of alternatives without intermediary victorious main functions of fo
rmation and the establishment of mechanisms for managing intellectual capital in the aggregate with other types of capital in them.
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