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Competitive advantages development at mesolevel

Safiullin A.R. Cand.Econ.Sci., the senior lecturer of chair of economy of manufacture, The Kazan state financial and economic institute ( safiullin_azat@mail.ru )

Journal: Economic Analysis: Theory and Practice, #5, 2010

The article is devoted to the problem of the analysis of competitive advantages at mesolevel. There are considered methodological features of use of one of the most widespread tools of the macroeconomic analysis - production function model. Multifactor productivity is suggested as the key target criteria of competitiveness at mesolevel. The special attention is given to the quantitative substantiation of this target criteria through the dynamic model of production function.


Competitive position of the industry of republic Tatarstan

Safiullin A.R. Cand.Econ.Sci., the senior lecturer of chair of economy of manufacture, The Kazan state financial and economic institute ( safiullin_azat@mail.ru )

Journal: Regional Economics: Theory and Practice, #25, 2009

The article is devoted to the regional industrial systems development that is characterized by the implementation of large-scale economic and social programmes, newly established system of indicative management and is oriented to the economic potential and competitive edges retention.The article deals with the increase of competitiveness of regional commodity producers and put emphasis on the concrete tools of an economic efficiency estimation of use of resources. The special attention is given to the analysis of labour indicators by kinds of the economic activities, corresponding to an industrial profile of Republic Tatarstan.


Actualization of valuation methods in the value based management concept

Safiullin A.R. Doctor of Economic Sciences, Professor of the Department of Production Economics, Institute of Economics and Finance, Kazan (Volga region) Federal University ( safiullin.ar@gmail.com )

Salakhieva M.F. PhD of Economic Sciences, Associate Professor of the Department of Crisis Management and Assessment Activities, Institute of Economics and Finance, Kazan (Volga region) Federal University ( Albert171@yandex.ru )

Gainutdinov S.I. Student of Institute of Economics and Finance, Kazan (Volga region) Federal University ( shamil92@list.ru )

Journal: Economic Analysis: Theory and Practice, #7, 2014

The article presents approaches to assessing the value of the company, their specification and application features for conception of value management. Represented comparative analysis of valuation methods is topical due to the necessity of introduction of contemporary management standards in domestic companies. It should be noted that the article differs with its systematic structure, up-to-date information concerning the results of the latest empirical studies in a field of value assessment of a company, and also formed set of recommendations on the application of the viewed approaches.


Setting the Stochastic Model for Mid-Term Prediction of Cryptocurrency Exchange Rate: The Bitcoin Case

Safiullin M.R. Kazan (Volga Region) Federal University (KFU), Kazan, Republic of Tatarstan, Russian Federation ( Marat.Safiullin@tatar.ru )

El'shin L.A. University of Management TISBI, Kazan, Republic of Tatarstan, Russian Federation ( Leonid.Elshin@tatar.ru )

Abdukaeva A.A. Center of Advanced Economic Research in Academy of Sciences of Republic of Tatarstan, Kazan, Republic of Tatarstan, Russian Federation ( Aliya.Abdukaeva@tatar.ru )

Journal: Digest Finance, #3, 2018

Importance The article discusses the process of economic and mathematical modeling of time series describing the volatility of the bitcoin exchange rate through the Autoregressive Moving Average (ARMA) models.
Objectives We search for, and substantiate tools and mechanisms used to predict the cryptocurrency market developments.
Methods The research applies tools of stochastic analysis of stationary and non-stationary time series.
Results The ARIMA models provide for rather precise estimates of current and future changes in the digital money rates for a three to four month’s time.
Conclusions and Relevance The bitcoin price will have approximated USD 11,000 by the end of Q3 2018. The methodological approaches to modeling help determine not only future trends, but also changes in exchange rates throughout the entire analyzable period. The findings provide empirical information for cryptocurrency market regulators and business community.


Developing a stochastic model for medium-term forecasting of cryptocurrency exchange rate: The bitcoin case

Safiullin M.R. Kazan (Volga Region) Federal University, Kazan, Republic of Tatarstan, Russian Federation ( Marat.Safiullin@tatar.ru )

El'shin L.A. University of Management TISBI, Kazan, Zelenodolsk, Republic of Tatarstan, Russian Federation ( Leonid.Elshin@tatar.ru )

Abdukaeva A.A. Center of Advanced Economic Research in the Academy of Sciences of the Republic of Tatarstan, Kazan, Republic of Tatarstan, Russian Federation ( Aliya.Abdukaeva@tatar.ru )

Journal: Finance and Credit, #5, 2018

Importance The article considers the process of economic and mathematical modeling of time series characterizing the volatility of bitcoin exchange rate on the basis of autoregressive moving average models.
Objectives The purpose of the work is to provide a scientific rationale for tools and mechanisms to forecast the cryptocurrency market development.
Methods The study rests on tools of stochastic analysis of stationary and non-stationary time series characterizing the volatility in the global cryptocurrency market.
Results We prove that ARIMA models enable to predict current and future adjustments of cryptocurrency exchange rates with a high level of accuracy.
Conclusions and Relevance We found that by the end of the third quarter of 2018, the bitcoin market value will be about 11,000 USD. The methodological approaches of modeling help define future trends and fluctuations of exchange rates over the entire forecast period. The findings are of practical interest for both the public authorities and representatives of business community.


A descriptive and formalized analysis of the digital economy's development in Russia: A case study of the assessment of demand for blockchain technology

Safiullin M.R. Kazan (Volga Region) Federal University (KFU), Kazan, Republic of Tatarstan, Russian Federation ( Marat.Safiullin@tatar.ru )

El'shin L.A. Center for Advanced Economic Studies of Tatarstan Academy of Sciences, Kazan, Republic of Tatarstan, Russian Federation ( Leonid.Elshin@tatar.ru )

Abdukaeva A.A. Center for Advanced Economic Studies of Tatarstan Academy of Sciences, Kazan, Republic of Tatarstan, Russian Federation ( Aliya.Abdukaeva@tatar.ru )

Journal: Finance and Credit, #7, 2019

Subject This article deals with the methodological approaches to formalized assessment of the development of certain components of the digital economy, in particular considering the case of blockchain technologies.
Objectives The article aims to develop and test the diagnostic tools for the development of the demand for financial and economic relations mechanisms based on the principles of integration into the socioeconomic environment of blockchain technologies.
Methods For the study, we used the methods of descriptive and formalized estimative analysis.
Results The article proposes certain approaches to assessing the level of blockchain technologies coverage of the socioeconomic environment, and on their basis, it determines and quantifies the main parameters and characteristics that reveal key features of the emerging demand dynamics for distributed data storage technologies in the Russian Federation between 2015 and 2018.
Conclusions and Relevance The systemization of the studied data helps form a blueprint for scientific research aimed at finding and constructing formalized models of the impact of blockchain technologies on the parameters of economic development of the national economy. The approach should be used in research to assess the current and prospective parameters of the effectiveness of individual components of the digital economy.


A comparative analysis of application-oriented characteristics of information systems of project management at Russian instrument-making enterprises

Safiullin A.R. Kazan (Volga Region) Federal University, Kazan, Republic of Tatarstan, Russian Federation ( safiullin.ar@gmail.com )

Il'darkhanova A.K. Kazan (Volga Region) Federal University, Kazan, Republic of Tatarstan, Russian Federation ( almira.kfu@mail.ru )

Journal: Economic Analysis: Theory and Practice, #2, 2018

Importance Intensification of global socio-political and economic risks inherent in Russian basic industries development show the importance of an increase in innovative activity of branches having a potential of import substitution, like modern instrument engineering. The organization of information system of project management that considers the specifics of modern enterprises and meets the requirements of dynamically developing markets, enables to make a quantum leap in development and gain a long-term competitive edge.
Objectives The aim is to develop recommendations to increase the efficiency of projects realized at instrument-making enterprises by means of organizing the information system of project management.
Methods Using a multi-stage cost-functional analysis, we evaluate the most relevant software products for project management at instrument-making enterprises.
Results We describe the general scheme of implementing projects of design and technological preparation of production, using information systems of project management, reveal and rank basic requirements to software products for instrument- making enterprises, analyze the most popular software products in the Russian software market in terms of their applicability at these enterprise from the perspective of users of software products.
Conclusions Formation of the corporate system of project management, qualitative selection of software products for instrument-making enterprises, considering the strategy of development and competent gradual implementation help increase the efficiency of decisions in particular, and innovative activity of instrument-making domestic enterprises in general.


Evaluating the effect of region's reputation capital on the revitalization mode of investing activity: The analysis methodology and its testing. Evidence from the regions of the Volga Federal District

Grunichev A.S. Centre for Education and Methodics of Federal Antimonopoly Service, Kazan, Republic of Tatarstan, Russian Federation ( C.p@tatar.ru )

Safiullin M.R. Kazan (Volga Region) Federal University (KFU), Kazan, Republic of Tatarstan, Russian Federation ( Marat.Safiullin@tatar.ru )

El'shin L.A. Center for Advanced Economic Research, Academy of Sciences of Republic of Tatarstan, Kazan, Republic of Tatarstan, Russian Federation ( Leonid.Elshin@tatar.ru )

Journal: National Interests: Priorities and Security, #11, 2019

Subject The article provides the rationale for studying models of spatial economic groth in terms of the reputation economics, since the role of regions’ reputation capital grows more and more important primarily due to the globalization of economic processes.
Objectives The study devises and tests methodological approaches to formally evaluate the region’s reputation capital and its impact on investing activity. We focus on the regions of the Volga Federal District and use methodological tools for evaluating the way the region’s reputation influences investment processes, their trends and indicators.
Methods Research employs models of spatial economic growth and, what is a distinguishing feature, offers a version of a conceptual approach to quantifying the regions’ reputation capital and its impact on the generation of investment processes in the regional economy.
Results Based on the technique for the formalized evaluation of the region’s reputation, we constructed time series of the analyzable indicators of respective regions for 2010–2017. They were used to verify econometric estimates showing how the regions’ reputation capital influences investing activities.
Conclusions and Relevance Based on the formalized methods, we captured that the regions’ reputation significantly influences their investing processes and respective trends. As part of the research, we traced patters verifying that reputation capital has a more notable effect in those regions that have a higher socio-economic development level. The methodological approaches would be practicable for evaluating the current and future efficiency of the regional economic development.


Intellectualization of the modern economy: experience from countries of the Organization for economic cooperation and development

Safiullin A.R. PhD in Economics, associate professor of department “Economic Theory”, Ulyanovsk State Technical University ( asaf79@mail.ru )

Journal: Economic Analysis: Theory and Practice, #5, 2012

On the example of the United States, Canada and Sweden it is described the characterization of intellectualization of economic activity. The contents of this trend through the development of hi-tech industries and services, the dissemination and application new technology in industry and agriculture, the increase of innovation activity in all sectors of the economy are revealed.


New quality of subject in terms of development of new economy

Safiullin А.R. PhD in Economic Sciences, Head of Department of Graduate and Doctoral Studies, Associate Professor, the Department of Economic Theory, the Ulyanovsk State Technical University ( asaf79@mail.ru )

Journal: Economic Analysis: Theory and Practice, #23, 2013

In the article the economic, technical and technological, organizational, and social dimensions of the new economy are considered. The human subject's role as the new economics associated with intellectualization activities is highlighted and the quality change of the economy resulting from new technologies and the growing role of information and knowledge are analyzed.


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