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Model of interaction of business development drivers in overcoming the barriers of digital transformation of industrial enterprises
![Scientific journal NRU ITMO
Series](/images/mag-ihbt.png)
Annotation
The research is devoted to the urgent problem of digital transformation of industrial enterprises in the context of the fourth industrial revolution. The economy is rapidly transitioning from traditional to digital, business conditions are changing, there are both dangers and new opportunities in the digital space. The object of research of this article is the models of digital transformation. The subject of the study is the assessment of the degree of digital transformation. The purpose of the study is to develop a reference model of driver-stimulus and driver-motive interaction in overcoming the barriers of digital transformation of enterprises. To achieve this goal, the following tasks are highlighted: determining the level of digital activity of enterprises, developing a model for assessing the influence of drivers and stakeholders, and identifying the risks of the digital transformation stage. The article used such research methods as theoretical and practical, from theoretical methods the authors used analysis and classification, from practical methods the authors used description. The distinctive feature of the proposed model is the division of drivers by the nature of their impact on the driver-motive and driver-stimulus, the determination of the degree of their interaction, as well as the identification of factors that are barriers that prevent the digital transformation of industrial enterprises in the digital economy and increase the level of digital maturity of business in general, as a necessary condition for creating and retaining competitive advantages in the modern world. Thus, studying the impact of factors on the digital transformation of industrial enterprises is key to the effective development of business in the digital economy, and it is also important to consider the risks of digital transformation, such as economic risks, security and personnel competencies.
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