Abstract
The study aims to analyze the innovation potential of enterprises, explain the use of the binary regression methodology, and explore different indicators of the enterprises in the regions of Kazakhstan for building an effective management strategy. Methodological substantiation is based on the complex survey data analysis, provided by the World Bank Enterprises Survey (WBES) for Kazakhstan. WBES database has covered a sociological survey of enterprises, which was conducted using a random survey and representativeness among 1,296 enterprises, mainly in the production sector. Besides, the data were collected among companies regarding their experience in environmental perception (including innovation activity), in which they worked. The results have demonstrated that the age of the company, exporter status, type, sector, or activity – all these have a positive influence on the company’s tendency to innovations. However, as part of the study, it has found out that competitors in the marketplace and regions of activity of enterprises predominantly negatively affect the prospects of introducing innovation. It was also in evidence that the same factors (foreign ownership, advanced training, type, size, and sector of an enterprise) are essential determinants of product, technology, R&D, ICT, and innovation. Obtained results can be used by enterprises for building an effective management strategy of own business innovative development, as well as by local authorities to upgrade the competitive performance. AcknowledgmentsThis study has been funded by the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan (Grant “Priorities and mechanisms of inclusive regional development of Kazakhstan in the context of overcoming the economic recession” No. AP09259004).
Highlights
Nowadays it is crucial to accelerate the introduction of innovations in production, using flexible organizational structures and management forms, as well as monitoring and implementing innovative projects
Methodological substantiation is based on the complex survey data analysis, provided by the World Bank Enterprises Survey (WBES) for Kazakhstan
As part of the study, it has found out that competitors in the marketplace and regions of activity of enterprises predominantly negatively affect the prospects of introducing innovation
Summary
Nowadays it is crucial to accelerate the introduction of innovations in production, using flexible organizational structures and management forms, as well as monitoring and implementing innovative projects. It is concluded that such topics as enterprise potential and factors of innovation contribution especially in developing countries such as Kazakhstan are not studied widely. The significant displacement es, financial strength, investment experience, and and impact of subsidies on R&D by innovations are retail technologies and networks; benefits of lo- highlighted Solution of these tasks is an important cation are mainly in the cost of labor It was Enterprise Survey conducted by the World Bank shown that there are many studies investigating dataset (WBES) in Nigeria These data confirm data using the determinants of company innovathat R&D, advanced training, competitiveness, tion, innovation community survey, probit and size, type, and company activities have a positive tobit regression models
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