Factors Of Innovative Activity Research Articles

Методика оцінювання інноваційного потенціалу промислових підприємств в умовах цифрової економіки

The article carries out an analytical review of scientific publications of domestic and foreign scientists on the research of the methodology of assessing innovation potential, which showed that it is insufficiently developed, in particular, at the level of an industrial enterprise in the conditions of the digital economy. It has been proven that in the scientific works of both foreign and domestic economists, the task of assessing the innovative potential of an industrial enterprise boils down to the use of one of two possible assessment methods: detailed or diagnostic. The analytical review of available methods conducted in the article showed that the considered methods have certain advantages and disadvantages. The most complete, deep and objective assessment of the innovative potential of a system is possible only with the correct selection of a set of indicators that allow characterizing the innovative potential according to various features and in terms of its constituent components. Thus, the author's methodology of assessing the innovative potential of an industrial enterprise, taking into account the digitalization of the economy, is proposed. As part of the methodology, a system of indicators for analysis was developed, which is subdivided into four projections: production and technological resources, financial and management resources, factors of innovative activity, and indicators of information security. The proposed methodology includes the calculation of generalized indices of the innovative potential of each projection, the integral indicator of the innovative potential of the enterprise for positioning the enterprise according to the level of innovative activity. Such a set of indicators meets the requirements of universality and ease of use, but at the same time provides objective and complete information about the state of the innovative potential of an industrial enterprise, in particular in the context of digitalization.

The Size of Innovation Space as a Factor of Innovation Activity in Regions

The Size of Innovation Space as a Factor of Innovation Activity in Regions

The Size of Innovation Space as a Factor of Innovation Activity in Regions

The research objective is to obtain and ground the quantitative characteristics of the impact of science and business on the results of innovation activity of the Russian Federation subjects. Under such results the number of patents issued and new production technologies developed are considered. Hypotheses testing is con- ducted enabling to establish the relationship between the innova- tion activity of a region and the number of potential links between the organizations creating new knowledge and innovation active businesses. The totality of these relations is characterized as an innovation space of a region. The results obtained through econo- metric modelling using the official data from the Rosstat and U. S. Census Bureau, Patent and Trademark Office, National Center for Education Statistics for the period 2009-2013 allow to justify some properties of estimates of the regional innovation space technical efficiency and the estimates of innovation activity results elasticity by the innovation space size for the subjects of the Russian Federa- tion and the states of the USA. An emphasis is made on the role of public authorities in creating a favourable environment for innova- tion activity enhancement for the Russian Federation subjects through facilitating new research organizations emergence and higher education institutions start-ups.

Forecasting of Innovative Activity Dynamics Using Industry Competition Indicators Analysis (Evidence from Food Industry of Russia)

Abstract With the current fast pace of time it is crucially important to make reliable and trustworthy forecasts of market trends in order to keep abreast of competition and maintain a long-term competitiveness. This article explores possibility to make forecasts about innovation activity dynamics in industries based on data concerning changes in competitive structure and intensity. It contains an overview of empirical evidences concerning relationship between dynamics of competition and innovation activity from the food industry of Russian Federation. In order to provide a complete research of interrelations between abovementioned factors we put forward and empirically test a new approach considering market barriers analysis and estimation of market entry threats. For identifying cause-and-effects relationships between the various factors in this study we use the mathematical statistics methodology. The concentration overview was performed on the basis of financial statement database. Large industry merger and acquisition dataset over the period 2006-2012 was used to describe industry competition. The research for food industry through the Russian regions explored relations between factors of industrial competition, such as the size of market barriers and probability of new competitors’ entry, and factors of innovative activity, including expenditures on technologies and volumes of innovative goods’ production. Given results make possible using suggested approach to a competition dynamics analysis for purposes of forecasting of innovative activity in industry.

Factors of innovative activity in Russian regions: modeling and empirical analysis

Considering innovations as a key factor of economic growth, in this paper we identify main instruments stimulating innovative activity in Russian regions. Since the number of potential factors of enterprises innovative activity and respective hypotheses is large, the process of model selection becomes a crucial part of the empirical implementation. A new efficient solution to this problem is suggested, applying optimization heuristics. The model selection is based on information criteria and the Sargan test within the framework of a log-linear panel data model.

Effects of different dimensions of social capital on innovative activity: Evidence from Europe at the regional level

This exploratory study investigates how different dimensions of social capital influence a region's innovative activity measured by patent applications. Human capital and R&D are also included in the analysis as factors of innovative activity. The novelty of the paper lies in the fact that for measuring social capital, instead of one overall index, six factors are constructed of 20 indicators using principal components analysis. Unlike many previous studies, this one uses the structural equation modelling approach instead of regression analysis in order to take into account the relationships between the factors of innovative activity. Regional-level data from Eurostat Regio and the European Social Survey are analysed. The findings provide strong support for the argument that social capital indeed influences innovative activity and furthermore, that different dimensions of social capital have dissimilar effects on innovative activity.