Research on Travel Agency Human Resource Crisis Early Warning Model based on BP Neural Network and Computer Software

Abstract

Abstract With the rapid development of tourism market, the human resource requirements of travel agencies are higher and higher. Tourism is one of the largest industries in the world, and it is also the most sensitive industry. Sustainable development is an important principle of tourism development. As the crisis events may occur in unlimited forms in many years, the crisis events will have a great impact on the sustainable development of tourism in both time and space. In the competitive environment of economic integration, human resource management of travel agencies is facing many crises, which has caused serious impact on travel agencies. Therefore, we must establish a scientific and reasonable human resource crisis early warning model, which will better achieve early warning and early control. This paper constructs the evaluation index system of human resource crisis management for travel agencies, which is based on three aspects of organization, development and management. At the same time, through BP neural network and computer software, this paper determines the weight of the index, which will be more effective for empirical analysis of the crisis.