Strategic relationship between innovation development and management of human resources potential in the region

Козицина, А. Н.; Филимоненко, Ирина Владимировна

doi:10.15838/esc/2015.1.37.11

Cited by 2 publications

(1 citation statement)

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“…They are also "points of growth" that should be actively influenced in order to raise the country's innovation rating in the international community, as well as to ensure an increase in the contribution of innovation to GDP growth. The choice of the strategy of innovation development and, consequently, the efficiency of innovation activity directly depends on the possibilities of their use (Kozicina and Filimonenko, 2015).…”

Section: Conclusion and Remarksmentioning

confidence: 99%

Econometric Models for Forecasting Innovative Development of the Country

Nevezhin¹,

Zhiglyaeva²,

Смірнов³

et al. 2019

J. Rev. Global Econ.

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The purpose of this study is to develop models to predict the level of innovative development of countries, as well as to identify the most significant factors influencing innovative development. The scientific novelty consists in applying a systematic, integrated approach to the selection of statistically significant factors that are drivers of innovative development, with the subsequent construction of econometric models and their testing. When developing models, both resources ("input parameters") and results ("output parameters") were taken into account, which also allows evaluating the effectiveness of innovative development and developing scenario forecasts taking into account the existing possibilities and limitations, optimizing innovative development strategies. The main methods of research and approaches were used: statistical summary and grouping of information, trend analysis, regression and correlation analysis, testing of statistical hypotheses, factor analysis. The procedure for detecting multicollinearity was performed using the VIF test (Variance Inflation Factor, incremental regression method). In determining the set of explanatory variables (the choice of "short" or "long" regression), the following criteria were used: Akaike criterion and Bayesian Schwarz information criterion. To estimate the parameters of econometric models, the Least Squares Method was used with a preliminary check of the fulfillment of all conditions of the Gauss-Markov theorem. In addition, various tests for checking the constructed models and their parameters for significance, adequacy were applied: Durbin-Watson test, Sved-Eisenhart series method and Breush-Godfrey test, Helvig agreement test, Shapiro-Wilk test, Goldfeld-Quandt test and Spearman's rank correlation test. To determine the influence of explanatory factors on the explained factor, the average elasticity coefficients were calculated on the basis of linear regression as the best model based on the results of all tests. Data and Empirical Analysis: The main components included in the calculation of the Global Innovation Index (GII) were selected for the study. Statistical data on them are published annually, which allows us to estimate the country's place in international innovation development. The study identified four multiple econometric models: one linear and three nonlinear. The value of the Global Innovation Index was chosen as an explained factor, and the indicators for the main groups in accordance with the GII structure were chosen as explanatory factors. To achieve this goal, the following work was carried out, as reflected in this article: 1) an econometric analysis was performed based on a sample of 30 countries based on the 2018 Global Innovation Index report; 2) multiple regression models were built-linear, polynomial, hyperbolic and power; 3) with the use of special tests, a check for heteroscedasticity and autocorrelation of random residues was implemented; 4) the parameters and the obtained regressions were estimated for statistical significa...

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Section: Conclusion and Remarksmentioning

confidence: 99%

Econometric Models for Forecasting Innovative Development of the Country

Nevezhin¹,

Zhiglyaeva²,

Смірнов³

et al. 2019

J. Rev. Global Econ.

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Assessment of the Role of Human Resources in Enhancing Competitiveness of Industrial Organizations in the Transition to Industry 4.0

Ustsinovich

2022

Nauka teh.

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In the conditions of necessity of transition to Industry 4.0 the human resource potential is considered as an important source of competitive advantage. Only qualified personnel can make an organization competitive on the basis of market loyalty, product and service quality, differentiated products and technological innovation. Two directions for increasing the competitiveness of industrial enterprises have been identified. The first is the assessment of the system of indicators of human resource level during the transition to Industry 4.0. The second is to identify the most significant factors in assessing the level of human resources that affect the increase in the level of competitiveness of industrial organizations. The paper provides a detailed analysis of a number of economic indicators that characterize the integral indicator of the effectiveness of the human resources development and competitiveness of an industrial organization. The integral indicator has formed the basis of a model for assessing the competitiveness of industrial organizations through human resource development. The model consists of two parts: human resource development and the increase in the level of competitiveness of industrial organizations. The model is based on the following factors: the quality of human resources (staff composition of an industrial organization, the number of employees, their income level, education level, projects related to human resource development) and its development (total corporate income, share employee remuneration in the total organization income, R&D costs, the share of investment in R&D in the total organization income, sales and production). The developed model will allow organizations to adjust their human resource development strategies (recruitment and further development of human resources), and will also contribute to the transformation of corporate talent.

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Strategic relationship between innovation development and management of human resources potential in the region

Cited by 2 publications

References 1 publication

Econometric Models for Forecasting Innovative Development of the Country

Econometric Models for Forecasting Innovative Development of the Country

Assessment of the Role of Human Resources in Enhancing Competitiveness of Industrial Organizations in the Transition to Industry 4.0

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