Productivity and Economic Growth by Using Business Management Based on the E-marketing: Evidence from Developed and Developing Countries, 2000-2018

Vadim Ponkratov,Alan Karaev,Andrey Masterov,Oksana Gorlova,Marina Sedova,Nataliya Shmigol 대한산업공학회 2019 Industrial Engineeering & Management Systems Vol.18 No.3

The paper presents a comparative analysis of the growth rates decomposition in 20 countries for the period from 2000 to 2018. In the research the authors used regression modeling based on the aggregate production function presented as multiplicative power Cobb-Douglas function. Having performed the regression analysis, the authors obtained numerical estimates of the model parameters for all analyzed countries: GDP elasticities of the considered countries by extensive factors - capital and labor, as well as by the impact of the intensive factor - TFP growth rates that present the dynamics of the resulting variable (GDP) at an acceptable level of significance. The chosen countries have been divided into clusters depending on the impact level of the analyzed factors onto the economic growth rate. The authors established the significant limitation of the neoclassical approach to analyzing the causes of economic growth due to using production functions with an aggregated result and the idea of the constant product specialization of a country. It was proposed to take into account the production structure of national economies when analyzing the pace and scale of economic development.

Economic and Mathematical Methods for Ranking Eastern European Universities

Gennady Osipov,Svetlana Karepova,Vadim Ponkratov,Alan Karaev,Andrey Masterov,Marina Vasiljeva 대한산업공학회 2020 Industrial Engineeering & Management Systems Vol.19 No.1

Assigning accurate qualitative ratings to Eastern European higher education institutions is critical in the face of high student mobility and competition with similar institutions in the USA, Central Europe, and Canada. This article aims to develop a methodological economic and mathematical approach to rating higher education institutions in Eastern European countries. An indicator system of the integral assessment of the education quality in Eastern Europe, considering the specific characteristics of national higher education systems, was formed during the research with the help of experts and taxonomic methods. A group of rating indicators of universities and their significance in determining the university’s ranking was substantiated. Using regression analysis, a multifactor model was developed to determine the rating of higher education institutions in the countries studied. The analysis demonstrates that the universities of Russia, the Czech Republic, and Poland are dominant in Eastern Europe. The study’s practical implementation can serve as a reference point and incentive for encouraging higher education institutions to provide a higher quality of education.

Investigating the Competitiveness of the Russian Oilfield Services Market

Alexander N. Semin,Vadim V. Ponkratov,Alexander A. Sokolov,Olga V. Lenkova,Andrey S. Pozdnyaev 대한산업공학회 2019 Industrial Engineeering & Management Systems Vol.18 No.3

Amidst the worldwide transformation of energy markets, competition in the global oil services sector has intensified, exposing the Russian oilfield services market to many challenges and risks. This study determines the ranking of the Russian oil services market at the global level. We employ expert assessments to identify relevant factors and indicators for evaluating competitive advantages in the oilfield industry. Using additive design and Saaty’s hierarchy analysis method, we determine the hierarchical structure of the factors influencing the development of oil services on the overall level of competitiveness of the oil services market. Using the integral analysis method, we develop a universal model for assessing competitiveness in the oilfield industry. Application of the model reveals that Russia ranked eighth among its main global competitors in 2017, and ranked ninth in terms of development growth rates for the period from 2007 to 2017. Practical implementation of the proposed measures can help monitor and address the major detrimental factors (i.e., decline in investments, high taxation, primitive technology, and high proportion of foreign service providers) affecting the development of Russia’s oilfield services market, the elimination of which may raise Russia’s status as an energy leader.

Implementation of the Blue Ocean Strategy Using Simulation: Firm-Level Evidence from Russian Steel Market

Marina V. Vasiljeva,Vadim V. Ponkratov,Nikolay V. Kuznetsov,Maksim S. Maramygin,Irina V. Osinovskaya 대한산업공학회 2019 Industrial Engineeering & Management Systems Vol.18 No.4

This paper reports a methodological approach to quantitatively assess the effectiveness of the Blue Ocean Strategy inthe Russian steel market that makes the competition irrelevant. Based on the simulation method, qualitative and quantitative dependencies are determined between firm economic performance and the implementation of the Blue Ocean,Red Ocean, and Monopoly strategies. It is shown by the example of the Russian steel market that Blue Ocean Strategyenables to get a significantly higher level of profit for the enterprise as compared to the implementation of the RedOcean Strategy, even in a monopolistic market. This is provided by creating innovative value, manifested in the minimization of social losses in the market, ensuring the possibility of establishing a higher market value while reducingproduction costs. The results of the paper may serve as an aid to the effective development of small and medium-sizedbusinesses by providing a sound quantitative framework to quantify the value of innovation. This article gives an insight into how firms can create blue oceans of uncontested market space to prosper in the future, providing an opportunity to evaluate the effectiveness of the chosen strategy to minimize risks.

Cost-effectiveness dynamics and vibration of soft magnetoelastic plate near rectangular current-carrying conductors

Ali Asghar Moslemi Beirami,Vadim V. Ponkratov,Amir Ebrahim Akbari Baghal,Barno Abdullaeva,Mohammadali Nasrabadi 국제구조공학회 2023 Structural Engineering and Mechanics, An Int'l Jou Vol.88 No.2

Cost-effective high precision hybrid elements are presented in a hierarchical form for dynamic analysis of plates. The costs associated with controlling the vibrations of ferromagnetic plates can be minimized by adequate determination of the amount of electric current and magnetic field. In the present study, the effect of magnetic field and electric current on nonlinear vibrations of ferromagnetic plates is investigated. The general form of Lorentz forces and Maxwell's equations have been considered for the first time to present new relationships for electromagnetic interaction forces with ferromagnetic plates. In order to derive the governing nonlinear differential equations, the theory of third-order shear deformations of three-dimensional plates has been applied along with the von Kármán large deformation strain-displacement relations. Afterward, the nonlinear equations are discretized using the Galerkin method, and the effect of various parameters is investigated. According to the results, electric current and magnetic field have different effects on the equivalent stiffness of ferromagnetic plates. As the electric current increases and the magnetic field decreases, the equivalent stiffness of the plate decreases. This is a phenomenon reported here for the first time. Furthermore, the magnetic field has a more significant effect on the steady-state deflection of the plate compared to the electric current. Increasing the magnetic field and electric current by 10-times results in a reduction of about 350% and an increase of 3.8% in the maximum steady-state deflection, respectively. Furthermore, the nonlinear frequency decreases as time passes, and these changes become more intense as the magnetic field increases.

Econometric Model of the Impact of the Interest Rate on the Economic Development

Larisa Yuzvovich,Elena Razumovskaya,Maksim Maramygin,Vadim Ponkratov,Nikolay Kuznetsov,Nadezhda Bashkirova 대한산업공학회 2020 Industrial Engineeering & Management Systems Vol.19 No.1

In the context of the implementation of the inflation targeting policy in the Russian Federation (RF), undertaking a comprehensive study of the transmission mechanism and its consequences for the economy is becoming increasingly relevant. Against this backdrop, the purpose of the present study is to develop an econometric model for determining the correlation between the interest rate and economic growth in prevailing conditions of the Russian market. To that end, the authors used the Granger test in order to determine the causal relations between the indicators of economic development and the key rate level of Central Bank of the Russian Federation (CBR) from 2006 to 2018. There were determined to be dominant indicators which provide the transmission mechanism of the influence of the key rate on the actual GDP of the Russian Federation. A model of the key rate influence on the pace of economic growth was developed. For this purpose, the authors used the vector autoregression method by taking the interdependence between the national economy components into consideration. The findings of this study confirmed the positive character of the interaction of the CBR key rate and the country’s economic growth. An analysis of the econometric model contributed to the determination of changes in the nation’s economic activity indicators due to the changes occurring in the key rate of the Central Bank. The developed econometric model can be applied as a tool that helps monetary authorities to better understand the determining internal forces in the economy. Moreover, this model helps formulate monetary policy decisions, emit alternatives, and increase the element of consistency in debates about the transmission mechanism. Finally, the Central Bank can use this model to identify the objectives of the monetary policy.