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A role of investments in the development of intellectual capital

Ustinova L.N. Kazan State University of Architecture and Engineering, Kazan, Republic of Tatarstan, Russian Federation ( buro.ustinova@mail.ru )

Ustinov A.E. Kazan (Volga) Federal University, Kazan, Republic of Tatarstan, Russian Federation ( phdustinov@mail.ru )

Virtsev M.Yu. Kazan State University of Architecture and Engineering, Kazan, Republic of Tatarstan, Russian Federation ( Virtsev1979@mail.ru )

Journal: Economic Analysis: Theory and Practice, #6, 2016

Subject Nowadays, identification of intellectual assets, their evaluation, analysis, and determination of the best investments for further capitalization and development are increasingly important. The article addresses theoretical, methodological and applied issues of assessing the intellectual capital of economic systems.
Objectives The purpose of the study is to investigate the essence of the concept of intellectual capital, review trends in investments in the intellectual component of business, and reveal their specifics.
Methods In the study, we applied a systems approach, method of analysis, and data evaluation technique.
Results Based on the findings, the paper provides the specifics of investing into intellectual capital.
Conclusions and Relevance We offer recommendations on investment into intellectual capital, which may be applied by enterprises of any scale of output operating in any industry.


The analysis of intellectual capital at Russian enterprises operating in the construction industry

Ustinova L.N. Kazan State University of Architecture and Engineering, Kazan, Republic of Tatarstan, Russian Federation ( buro.ustinova@mail.ru )

Nizamova A.Sh. Kazan State University of Architecture and Engineering, Kazan, Republic of Tatarstan, Russian Federation ( kazan2@yandex.ru )

Virtsev M.Yu. Kazan State University of Architecture and Engineering, Kazan, Republic of Tatarstan, Russian Federation ( Virtsev1979@mail.ru )

Journal: Economic Analysis: Theory and Practice, #5, 2016

Importance Innovative development of domestic production necessitates universal evaluation techniques revealing the intellectual capabilities of enterprises. The article addresses theoretical, methodological and applied issues of intellectual capital evaluation.
Objectives The aim of the study is to analyze intellectual capital of construction enterprises using the method of market capitalization by Jason Tobin.
Methods The study employs the systems approach and the data analysis method.
Results We explored the intellectual capital of construction companies, reviewed basic approaches to intellectual capital management and evaluation on the case of construction industry enterprises. The research identified major shortcomings in applying the Jason Tobin method.
Conclusions and Relevance The method of market capitalization may be applied in practice by enterprises operating in any industry and of any scale of production to study their intellectual status.


An algorithm to forecast a strategy of innovative activities of enterprises

Ustinova L.N. Kazan State University of Architecture and Engineering, Kazan, Republic of Tatarstan, Russian Federation ( buro.ustinova@mail.ru )

Nizamova A.Sh. Kazan State University of Architecture and Engineering, Kazan, Republic of Tatarstan, Russian Federation ( kazan2@yandex.ru )

Virtsev M.Yu. Kazan State University of Architecture and Engineering, Kazan, Republic of Tatarstan, Russian Federation ( Virtsev1979@mail.ru )

Journal: Economic Analysis: Theory and Practice, #11, 2017

Importance The current state of the industrial production market necessitates the development of universal valuation techniques and new approaches to innovative capacity management enabling to enhance the efficiency of tangible and intangible business opportunities of enterprises.
Objectives The study aims to develop an algorithm to predict innovative business strategies. To meet the challenge, we analyzed the interpretation of innovative capacity, the existing approaches to its management, and developed an algorithm to forecast an innovative activity strategy of enterprises.
Methods The study employs a systems approach and a data analysis method, using a correlation and regression analysis.
Results We developed an algorithm to forecast a strategy of innovative activities of enterprises based on their innovation profile.
Conclusions and Relevance The practical significance of the study is that the offered methodology can be applied to enterprises of different size and industry affiliation.


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