The article discusses the digitalization of business processes of enterprises providing food services and the impact of this direction on improving food security in the region. The purpose of the article is to identify the effects of digitization of the industry in the field of improving the food security of the region. Objectives: to consider the theoretical foundations of the formation of the business processes of food services; to characterize their role in the production cycle; to analyze the indicators of food services of the Perm region; develop a model of business processes based on digital technologies that has a positive impact on the food security of the region. The article describes the business process and its features in the concept of production and management. The author considers the types and features of business processes in the field of food services, their content, and goals. The author examines the role of digitalization of business processes in the system and management cycle, the impact on the main results that characterize successful activity in the market of services. The article presents indicators of the food service industry and an assessment of the dynamics and problems at the regional level. The article offers a set of measures to improve the business processes of food service enterprises based on digital technologies that have a positive impact on the food security of the region.

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The purpose of the study presented in the paper is to highlight the influence of the microeconomic factors related to the evolutionary stage of the industry’s life cycle on the industry dynamics. The authors use the example of the Russian tourism industry to show that microeconomic factors are important, along with the macroeconomic, market, and demand characteristics external to the industry. Data mining was applied to obtain data from the industrial enterprise database and Rostourism official documents since there are no regular Russian statistics on firms’ exit and new entry. The authors used annual ranked listing of firms by their revenues to determine the structural indicators of the industry. The results confirm that it is important to consider not only the demand and macroeconomic indicators, which are external risks in relation to the industry, but also the internal processes at the different stages of the product cycle. In a sufficiently long period, the influence of microeconomic indicators may be no less strong than the business factors of financial risk. One should take this into consideration in econometric modeling on long time-series.

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