METHOD FOR ASSESSING THE INVESTMENT ATTRACTIVENESS OF INDUSTRIAL ENTERPRISES IN THE CONTEXT OF DIGITAL TRANSFORMATION OF THE ECONOMY

In the modern world, there is a current trend of forming a digital economy and creating “smart” enterprises, which is implemented on the basis of information processing and data transmission, in-cluding extensive use of digital technologies Big data, AI, IoT systems, etc. The result is a decrease in pro-duction costs, an increase in productivity and efficiency of enterprises. These processes involve not only an increase in the volume of information technologies and resources used, but also the transformation of busi-ness processes of enterprises. Such conditions also affect the choice of an industrial enterprise as an invest-ment object. Preference is given to those objects that have higher prospects for growth in competitiveness and efficiency in the context of digitalization of the economy. The purpose of the study is to modify the author's model for assessing the enterprise investment attrac-tiveness taking into account the trends in the digital development of the economy. The study puts forward the hypothesis about the significant impact of the digital potential of an enterprise on its investment attrac-tiveness in the context of the current economy transformation, as well as the multifactorial nature of form-ing the digital potential of an enterprise. The article proposes a model for assessing the investment attractiveness of industrial enterprises, tak-ing into account the factors of digitalization of activities through a separate group indicator of the enterprise digital potential, as well as supplementing the assessment of the investment climate with indicators of the digital environment of the country and the industry. As part of the digital potential, it is proposed to analyze the availability of ICT resources, the level of digital transformation of business processes, organizational digital culture and staff qualifications, information security, and the enterprise's capabilities to implement digital technologies in the future. The author's model enables the formation of digital potential indicator taking into account the most complete and comprehensive list of significant factors, including ensuring in-formation security and a dedicated assessment of the digitalization of production processes. Based on the assessment model, a method for the step-by-step selection of industrial enterprises as in-vestment objects has been developed. The approach allows reducing the amount of analyzed information by reasonably limiting the list of objects for subsequent analysis, as well as obtaining a result that meets the specific investor interests.