| With the rapid development of tourism industry,tourism enterprises of various formats have sprung up,and tourism industry has become an important pillar industry of China’s national economic development.As the leader of the tourism industry,the development level,business status and competitiveness of the listed tourism enterprises reflect the competitiveness of China’s tourism industry to a certain extent.In the increasingly competitive market environment,how to evaluate and help enterprises to improve their competitiveness and how to promote the healthy development of tourism enterprises is the purpose of this study.Firstly,the literature review is used to make a comprehensive review of the competitiveness,evaluation index system construction and evaluation model construction of domestic and foreign scholars in tourism listed companies.At the same time,this study discussed the theory of related competitiveness and the definition and classification of the listed tourism enterprises.Secondly,we have made a detailed analysis of the development status,challenges and characteristics of the listed tourism enterprises,and according to the characteristics of the enterprise,selected the evaluation index to set up the evaluation system of the competitiveness of the listed tourism enterprises on the basis of the corresponding principles.Thirdly,in order to overcome the shortcomings of traditional competitiveness evaluation methods,we applied neural network evaluation method to the competitiveness evaluation of tourism listed companies,and constructed an evaluation model based on MATLAB as an analytical tool.Finally,combined with the constructed competitiveness evaluation system,we collected data from 32 tourism listed companies,and analyzed the data by trained BP neural network model.Through the calculation we got the comprehensive evaluation of the competitiveness of the enterprises and analyzed the results.The results of the analysis show that the results of the BP neural network are close to the actual situation.The agreement between the model evaluation and the actual results shows that it is feasible to use BP neural network model to evaluate the competitiveness of the listed tourism enterprises.Through the classification and analysis of the results of the competitiveness evaluation,we found out the factors and practices affecting the promotion of the competitiveness of the enterprises,and gave the corresponding suggestions. |
