Bìznes Inform (Mar 2020)

The Innovative Capability of Enterprises: the Methodical Provisions for Analysis and Evaluation

  • Kuzmin Oleh Ye.,
  • Zhyhalo Oksana Yu.

DOI
https://doi.org/10.32983/2222-4459-2020-3-59-66
Journal volume & issue
Vol. 3, no. 506
pp. 59 – 66

Abstract

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The article considers the capability of enterprise as a complex of its implicit capabilities, which exist in the plane of the technologies used, equipment, knowledge, skills and aptitudes of employees. With reference to the essential content of the concept, the article defines that the innovative capability of enterprises cannot be measured only by component content indicators (concentration, area, mass) or functional variables that have a correlation with component characteristics. To evaluate and analyze the capability of the enterprise, the article identifies two groups of methods: 1) related to the study of individual components of capability, namely: information, resource, budget and debt, financial capability and capability of premises (warehouses) of the enterprise; 2) providing a comprehensive evaluation of the capability of enterprises, for which it is possible to use the AHR model (analytical hierarchical model), to develop a deployed chain of enterprise development, to apply an ANP model (model of analytical network process) or to provide a comprehensive analysis of both the enterprise’s capability and the demand. The article proposes recommendations on the formation of a method of evaluating the innovative capability of enterprise. In particular, in order to improve the performance of evaluation processes, the enterprise should ensure the following: credibility of the evaluation process, which is determined by the use of additional evaluation criteria, consistency indicators, etc.; operational efficiency; multicriteriality and hierarchiality of the evaluation process, which is possible by forming a system of indicators (hierarchy), identifying their criterion values, methods of generalization, etc.; completeness of the evaluation process, which arises from the use of quantitative and qualitative indicators, the integration of indicators with different levels of aggregation; simplicity, clarity, unity of evaluation requirements; economic efficiency.

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