Abstract
The paper presents the results of research regarding the processes of assessing the degree of readiness of enterprises for innovative activities, functioning in conditions of uncertainty of economic ties and relations. A conceptual model of an innovative activity management system has been developed, aimed at improving the diagnostic and decision-making mechanisms based on the use of Markov chain tools. For its practical implementation, a simulation model has been created for assessing the degree of readiness of enterprises for innovation in the form of a directed graph, in which the vertices represent the states of the process, and the edges represent transitions between them. A distinctive feature of the model is that it is not time, but the sequence of states and the number of a step with a hierarchy of sampling intervals, which is considered as an argument on which the process of assessing the degree of readiness of enterprises for innovative activities depends. The flexibility of such a model is ensured by adaptability to the influences of the external environment with the possibility of adjusting it to each information situation.
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Sharko, M. et al. (2023). Information Technology to Assess the Enterprises’ Readiness for Innovative Transformations Using Markov Chains. In: Babichev, S., Lytvynenko, V. (eds) Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making. ISDMCI 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 149. Springer, Cham. https://doi.org/10.1007/978-3-031-16203-9_12
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