Rapid changes in the geopolitical and economic space generate high disturbance in the business environment, which can both open up favourable opportunities for mastering the production of new types of products and markets for its sale and undermine the competitive position of industrial enterprises. In a chaotic environment, their economic systems are at risk of disorganization and loss of operational stability due to both the accelerated introduction of high-tech products and the degradation of available resources and immersion in a crisis. The purpose of this research is to theoretically and methodologically analyze and comprehend the self-organization of industrial economic systems under the influence of entropic and information processes to model the management of their development in a disturbed environment. Revealing the nature of the behaviour of industrial economic systems experiencing the influence of disturbances, it is reasonable to draw on the views and methods of systems analysis, thermodynamics, statistical mechanics, cybernetics, information theory and synergetics. Thanks to the application of these concepts, it becomes possible to advance in solving the problem of enriching technologies for adaptive management of industrial enterprises. The conditions for the feasibility of selforganization of the industrial economic system presented in the article will find application in the algorithms for analyzing scenarios of stable activity and innovative development of enterprises in the space of tricky disturbances.