ОПТИМІЗАЦІЯ ФРАНЧАЙЗИНГОВОГО ДОГОВОРУ В УМОВАХ ПАНДЕМІЇ

Abstract

The article considers franchising systems in tourism in a pandemic. Tourism is one of the leading areas of Ukraine's economy, which provides budget revenues, creates jobs, and promotes a positive image of the state. The paper analyzes the dynamics of the number of franchised travel agencies in recent years in Ukraine. The most successful directions of franchises are given. Different types of royalty accrual in franchising are analyzed. An economic-mathematical model has been developed to optimize the franchise agreement between the franchisee and the franchisor in order to obtain maximum profit. For nonlinear functions of demand and costs, analytical expressions are obtained, which make it possible to calculate the parameters of the contract between the franchisor and the franchisee, within the framework of the obtained economic - mathematical model. The article calculates the net present value for outbound tourists, as this flow is the largest. The flow of domestic tourists is much smaller, this is due to inefficient and irrational use of natural resource potential, poor transport infrastructure. There is no clear strategy for the development of the tourism industry. Most compatriots prefer foreign resorts, receiving a higher level of service, comfort, supporting the economy of foreign countries [7]. In the GDP of our country, the total contribution of tourism is only 5.4%, while in countries where tourism is well developed, it reaches 10%. As a result of the analysis of the situation in the field of tourism, it is proved that Ukraine has great opportunities for the development of various types of tourism. It is necessary to expand tourist routes. Improvement of information systems in tourism. Creation and implementation of tourism development programs on a regional basis, improvement of the legal framework, intensification of domestic tourism. Let's analyze the reasons. which hinder the development of domestic tourism. First, the unfavorable economic situation; increase in the price of tourist services. Secondly, reduction of types of tours for middle-income people; high competition and aggressive policies of countries with similar baseline data.