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Abstract. The relevance of the study is due to the need for a systematic study of the issues of methodological support for the analysis of innovative activities of enterprises in the context of the development of the digital economy. It has been established that a feature of the information and analytical system for managing innovation is the use of a set of methods: statistical, economic and mathematical and specific methods for predicting the results of innovation. At the same time, the system of methods and techniques for analyzing innovation activity significantly differs from the traditional toolkit, since in most cases the object of management is unique in its kind, and the subject of an innovative project (innovative product), as a rule, has no analogues. The article substantiates the need to apply analytical procedures at all stages of the implementation of innovative projects. It is proposed to conduct the process of assessing the effectiveness of the implementation of an innovative project in the following stages: monitoring the external environment, determining the innovative potential of an enterprise, studying the effectiveness of an innovative project, quantitative and qualitative analysis of the risks of innovation, economic analysis of innovation, development of an innovation strategy. A method is proposed for determining the price of innovative products as an important component of assessing the effectiveness of an innovative project, and the main indicators of the effectiveness of innovative activities are highlighted. The results of the calculation of certain indicators form the basis for making decisions on the administration of innovative activities, and their factor analysis will determine the unused reserves of growth in the efficiency of the enterprise’s innovative activities. It was found that in the digital economy, classical methods of economic analysis of innovation activity are complemented by innovative ones, such as simulation modeling, decision tree, sensitivity analysis, correlation-regression and variance methods, probability method, analog method, SWOT-analysis, PEST-analysis, SNW-analysis, R-analysis. It has been determined that the analysis of innovation in the digital economy provides for the creation of a fundamentally new information model using modern technical and technological means of collecting and processing significant data sets, the functioning of which should be based on the principles of «consistency» and «communication». Keywords: economic analysis, innovation, innovative project, the digital economy, methods of analysis, information and analytical support. Formulas: 3; fig.: 1; tabl.: 1; bibl.: 38.
Осадча et al. (Thu,) studied this question.