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The Diagnostic Model for Assessing the State of Stability of an Industrial Enterprise

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Digital Transformation (PLAIS EuroSymposium 2021)

Abstract

At the present stage, Ukraine is in a state of market transformation which is accompanied by the spread of global integration processes, digitalization of social and economic processes, open national economies and, consequently, the intensification of crises. In these conditions, the formation of effective tools for diagnosing the state of industrial enterprises will identify timely latent threats to its sustainable behaviour, overcome the crisis if it occurs, and ensure its revival at the same or higher level of organization and efficiency. The violation of cyclicality (failure to overcome the crisis) leads to the termination of its activities as a business entity. The article presents an algorithmic model for diagnosing the class of resilience/crises of industrial enterprises and develops the diagnostic scales that serve as a tool for recognizing the current and future state of the enterprise. It is proposed to study the activity of the enterprise as a set of its system-forming spheres - production, financial and labour. The diagnostic scales are developed on the basis of processing of the information on the allocated spheres for 24 enterprises of the industry of Ukraine for 10 years with application of information and computer technologies. They serve as a basis for the formation of adequate management impulses and the construction of achievable scenarios for crisis management in the enterprise, taking into account its resource capabilities. The methods of correlation, taxonomic and cluster analyzes are mathematical tools for constructing scales. The proposed scales are universal and can be used as an analogue of industry standards.

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Correspondence to Mikolaj Karpinski .

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Rayevnyeva, O., Karpinski, M., Brovko, O., Falat, P., Aksonova, I. (2021). The Diagnostic Model for Assessing the State of Stability of an Industrial Enterprise. In: Wrycza, S., Maślankowski, J. (eds) Digital Transformation. PLAIS EuroSymposium 2021. Lecture Notes in Business Information Processing, vol 429. Springer, Cham. https://doi.org/10.1007/978-3-030-85893-3_4

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  • DOI: https://doi.org/10.1007/978-3-030-85893-3_4

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