DYNAMIC MODEL OF FORMATION OF OPTIMAL PORTFOLIO OF STRATEGIC MEASURES IN THE SPHERE OF THE UNIVERSITY HUMAN CAPITAL DEVELOPMENT


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Abstract

In the context of transition to the sixth technology revolution, while implementing the strategic development program, the university top management faces the challenge of formation of the strategic activities optimal portfolio. Human capital is one of the priority areas of investment, and the improvement of its level is the essential condition for sustainable development allowing timely achieve the university strategic goals. It causes the necessity to create a complex of interrelated models, which allows optimizing the university strategic projects portfolio that leads to the human capital development and assessing quantitatively the impact of human capital on the target values of key indicators of the university development. The paper proposes the dynamic model of the formation of the optimal plan of strategic actions in the sphere of human capital development of the university business units taking into account the current human capital, the age structure, the planning period, and the investment volume. The objective function of the model is the integral indicator assessing the progress on reaching the indicators target values of the strategic objectives of business units (caused by the university strategic objectives). The variables being optimized are the Boolean variables of involvement of one or another event to the activities portfolio for a university business-unit employee at a certain point.

The paper considers the example of defining a portfolio of activities in the sphere of human capital development (for four areas: “Education”, “Health”, “Reproduction” and “Image”) for three university business units to achieve strategic university goals for five years planning horizon. The calculation results allow forming the action plan (“roadmap”) in the sphere of human capital development and are a fundamental part of management decision-making for the university investment strategy implementation.

About the authors

Lev Solomonovich Mazelis

Vladivostok State University of Economics and Service, Vladivostok

Author for correspondence.
Email: lev.mazelis@vvsu.ru

Doctor of Sciences (Economics), Associate Professor, Head of Chair of Mathematics and Modeling

Russian Federation

Kirill Igorevich Lavrenyuk

Vladivostok State University of Economics and Service, Vladivostok

Email: kirill.lavrenyuk@vvsu.ru

assistant of Chair of Mathematics and Modeling

Russian Federation

Elena Nikolaevna Likhosherst

Vladivostok State University of Economics and Service, Vladivostok

Email: ps_elena@mail.ru

postgraduate student of Chair of Mathematics and Modeling

Russian Federation

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