THE FORECASTING THE LEVEL OF DEVELOPMENT OF INNOVATIVE POTENTIAL OF TEXTILE ENTERPRISES

Authors

DOI:

https://doi.org/10.30857/2415-3206.2020.2.5

Keywords:

forecasting, development level, innovation potential, textile enterprises, efficiency, factor analysis, K-means cluster analysis, taxonomy method, discriminant analysis

Abstract

Background and objectives. The analysis of the main shortcomings of modern forecasting of innovative development of textile enterprises shows the need to build a well-functioning system for forecasting innovative development; development of a methodology for forecasting promising areas of innovative development, taking into account the peculiarities of the functioning of textile enterprises. Therefore, an urgent problem arises of finding effective mechanisms for objectively identifying the weak and strong aspects of the innovative activity of textile enterprises, establishing further priorities for the formation and development of the innovative potential of enterprises, determining the main vectors of innovative development, taking into account the competitiveness and results of R&D (research and development work).

Methods:The methods used: factor analysis – to identify the most significant indicators that affect the level of use of innovative potential; cluster analysis of K-means – for a reasonable division of enterprises into groups according to the levels of integrated business performance / use of innovation; taxonomy method – to determine the boundary value of the levels of development of innovative potential as a result of the integration of individual business objects for each of the clusters into one structure; discriminant analysis – for object recognition for deciding which business objects to integrate into the business structure.

Findings: As a result of predicting the level of development of the innovative potential of textile enterprises, groups of factors were identified that stimulate and discourage the development of the innovative potential of textile enterprises.

Conclusion: To improve the efficient operation of textile enterprises, it was proposed to use special tools for managing innovation potential: active expansion of business activities, attraction of innovations, containment of achieved market positions, search for effective methods of using innovations, selective growth of certain types of activities, differentiated attraction of innovations, and revision of certain activities.

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Author Biographies

Valeriia Shcherbak, Kyiv National University of Technologies and Design, Ukraine.

Doctor of Economic Sciences, Professor of the Department of Entrepreneurship and Business, Kyiv National University of Technologies and Design, Ukraine.

Polina Puzyrova, Kyiv National University of Technologies and Design, Ukraine.

PhD, Associate Professor, Associate Professor of Department of Entrepreneurship and Business, Kyiv National University of Technologies and Design, Ukraine.

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Published

2021-04-16

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Articles