Showing 2 results for Oksana
Serhieieva Liudmyla, Kovtun Oksana, Opalenko Alla, Ivanylova Oksana,
Volume 31, Issue 4 (IJIEPR 2020)
Abstract
The article deals with the integrated harmonious structure deviation indicator in the system of post-graduate training, which is constructed according to the rule of the “golden ratio”. Calculated deviation of the indicator of five-sector model that corresponds to the GDP in the post-industrial economy. Selecting components integrated th indicator deviation from the harmonious structure is based on the objective statistics and systematic research of GDP from a five-sector model. According to the proposed method of estimation of structural shifts in the sectoral structure of the educational environment, the integrated harmonious structure deviation indicator for the 2010/11-2018/19 academic years was calculated; the dynamics of the integrated harmonious structure deviation indicator for the GDP of Ukraine and for the higher educational system of Ukraine is compared. The calculation of the integrated harmonious structure deviation indicator in dynamics has led to the conclusion that over the last nine years there has been a tendency to train insufficient number of highly qualified specialists who provide the production of intellectual product, based on the requirements of the knowledge economy.
Oleh Kuzmin, Oksana Zhyhalo, Kateryna Doroshkevych,
Volume 31, Issue 4 (IJIEPR 2020)
Abstract
Innovative capacity as a potential ability of an enterprise to innovative development is manifested in the process of formation and realization of an innovative product, which can be embodied in various forms. In the article innovation capacity is considered as a complex concept that covers the innovative output of the enterprise and the reserve for providing innovative capacity, which can make the difference between the innovative capacity and the current state of the innovative output of the enterprise.
In order to improve the level of management processes in the enterprise, the article improves the method of evaluation the innovative capacity, which is based on the use of a three-dimensional space model of the dependence of the innovative capacity on the level of loading vectors of technique of the enterprise (X-axis), applied innovative technologies (Y-axis) and resources (Z-axis) using AHP-model (analytical-hierarchical process model) and certain functional dependencies that indicate the state of innovative capacity of the enterprise and allow to identify the reserve for providing innovative capacity.
The system of indicators designed to measure the enterprise's innovation capacity is developed on the basis of the AHP-model (analytical-hierarchical process model), which contains two levels: 1) partial indicators designed to assess the level of loading of vectors of the three-dimensional space model of the enterprise's innovation capacity; 2) generalized indicators by which the level of innovation capacity is determined. The article uses the relative weight of indicators, which is calculated by forming a matrix of judgments and evaluating the components of the vector of its priorities.
