Abstract

The object of research is the risk tolerance management process of the business model of a restaurant enterprise. One of the most problematic places in the implementation of the business model of the enterprise is the timely recognition of risk and minimization of its impact on activities. The restaurant business is the most profitable and profitable in the world. Competition in this area increases over time. Risk arises where there is profit and competition, as well as various options related to the likelihood of risk occurring in conditions of uncertainty. Identification and consideration of risk factors is the basis for making management decisions on the timely transformation of the current business model of the enterprise in accordance with changes in the external environment. It is shown that the risk tolerance management process of a restaurant business enterprise is associated with the difficulty of identifying key aspects of the risk tolerance of its business model and the need to take into account risks arising in the process of creating value. This is due to the peculiarities of the set of risks and the nature of their manifestation in the restaurant business. The restaurant industry is characterized by specific risk groups. These risks are associated with the formation and promotion of value propositions, revenue streams and customer/consumer relationships. The stages of modeling the risk tolerance management system of the business model of a restaurant enterprise have been determined. These stages include identifying the main risk groups and key value management systems, assessing their parameters and allow to define a set of management decisions to improve the risk tolerance level of the business model of the restaurant business enterprise. To implement the stages of modeling the risk tolerance management system of the business model of a restaurant business enterprise, an algorithm is proposed based on the theory of fuzzy sets with the ability to assess the compliance of the actual system parameters with their target value. This ensures the possibility of assessing the actual state of the risk tolerance management system of the enterprise's business model by key business processes. A set of management decisions has been developed that makes it possible for a restaurant enterprise to respond in a timely manner to various kinds of risks in the context of resource and time constraints.

Highlights

  • The restaurant business is associated with a large num­ ber of risks

  • The following objectives are set: 1. To identify groups of risks affecting the state of the risk tolerance management system of the business model of a restaurant business enterprise

  • The strengths lie in the fact that the proposed approach to modeling the risk tolerance management system of the business model of a restaurant business enterprise allows, based on the theory of fuzzy sets, to take into account the mutual influence of three specific risk groups

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Summary

Introduction

The restaurant business is associated with a large num­ ber of risks. Some risks are simple and usually are not taken into account by restaurateurs, they can have a direct impact on reputation, financial condition and can cause an immediate failure of restaurant enterprises. Risk constitutes an objectively inevitable element of making any managerial decision due to the fact that uncertainty is an inevitable characteristic of business conditions [1]. Risk management in the restaurant business is complicated by the fact that there is a possibility of oc­ currence and favorable events in the enterprises of this industry, which is a risk. Modeling the risk tolerance management system of the business model of a restaurant business enterprise is relevant, because it creates an opportunity. Its implementation creates the oppor­ tunity to prepare for various kinds of risk situations to achieve strategic business goals

The object of research and its technological audit
The aim and objectives of research
Research of existing solutions of the problem
Research results
SWOT analysis of research results
Conclusions
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