УПРАВЛЕНИЕ ЦИФРОВОЙ ТРАНСФОРМАЦИЕЙ ПРЕДПРИЯТИЯ: ОРГАНИЗАЦИОННЫЕ И МЕТОДИЧЕСКИЕ АСПЕКТЫ ОЦЕНКИ УРОВНЯ ЗРЕЛОСТИ ЭКОСИСТЕМЫ ТЕХНОЛОГИЙ ИНТЕРНЕТА ВЕЩЕЙ

Abstract

In the article, the authors reveal the directions of solving the problem of forming effective methodological support for the digital transformation management system of industrial enterprises. The main focus of the work is on the development of the enterprise’s management system and digital infrastructure based on Industry 4.0 technologies in a high-risk environment and uncertainty. The study presents a methodology for assessing the level of digital maturity of an industrial enterprise and its infrastructure built on the basis of Internet of Things (IoT) technologies. The developed author’s methodology includes a system of criteria for assessing the level of digital maturity, a mathematical model and a system of recommendation characteristics of the values obtained based on the evaluation results. Based on the results of the evaluation system, it is possible to conduct a comparative analysis of the level of digital maturity of the infrastructure and infrastructure of selected business entities. The model can also be used to analyze and make management decisions about the initiation of IoT projects and the allocation of resources between strategic projects of digital transformation of an industrial enterprise. The developed mathematical model is a point-based one. IoT projects that form the digital infrastructure of enterprises have been selected as objects of digital transformation research. The novelty of the research lies in the development of a methodology for assessing the maturity level of the IoT infrastructure in the digital transformation project management system to improve the efficiency of project management processes. The main purpose of this research is to develop tools to support the management decision-making process in the digital transformation project management system. The proposed developments can be applied to the management of projects for the digital transformation of industrial enterprises and the development of IoT infrastructure. When developing a methodology for assessing the level of digital maturity and infrastructure built on the basis of IoT technologies, system analysis methods such as analysis and synthesis, expert method and mathematical modeling were used. Their complex combination made it possible to work out all the elements of the methodology, as well as to systematize the composition of the evaluation criteria, taking into account the qualitative and quantitative reflection of the characteristics of the digital infrastructure.