Research On Performance Evaluation Of Film And Television Cultural Enterprises From The Perspective Of Core Stakeholders

In today’s world,the competition between countries and regions is not only in the economic field,but also in the cultural and creative fields.More and more governments start to pay attention to and intensify their investment and support for cultural and creative industries,and incorporate cultural and creative industries development plans into national and regional development plans.As a typical representative of the cultural and creative industry,the rapid growth of film and television cultural enterprises has also witnessed the development of Chinese cultural and creative industries.Whether it is the internal input or external output of film and television culture,film and television cultural enterprises shoulder the historical responsibility and social responsibility of spreading excellent traditional culture under the background of socialism with Chinese characteristics in the new era.At the same time,because of the lack of research results on film and television culture enterprises and their performance,it affects the rapid and steady development of film and television culture enterprisesTherefore,Based on the discussion of the research background and related theories of film and television cultural enterprises,this study adopts "Analysis of the Connotation of Film and Television Cultural Enterprises and Related Theoretical Explanations"-"Analysis of Social Networks of Stakeholders of Film and Television Cultural Enterprises"-"Film and Television Cultural Enterprises"Performance Evaluation Game Analysis"-"Film and Television Cultural Enterprise Performance Evaluation Index System Construction"-"Entropy Weight Neural Network and Entropy Weight Support Vector Machine Model Construction"-"Film and Television Cultural Enterprise Case Analysis" steps,using first exploration and then Verification,first qualitative analysis and then quantitative research ideas.On the basis of related theories,it introduces the connotation and characteristics of film and television cultural enterprises,as well as stakeholder theory and balanced scorecard theory;the research methods mainly introduce social network analysis methods,neural network algorithms,and support vector machine algorithms.The combing of theories and methods can better guide the follow-up research of this paper.Based on social network analysis,it analyzes the relationship between film and television cultural enterprises and their stakeholders from qualitative and quantitative perspectives,and uses game analysis to explore the game relationship between corporate evaluation and audience evaluation under government participation in the performance evaluation of film and television cultural enterprises.The analysis of static game and dynamic game makes it clear that the government and audience are the core stakeholders of film and television cultural enterprises,and further combines the perspective of core stakeholders to construct the performance evaluation index system of film and television cultural enterprises.At the enterprise level,build an indicator system based on the financial level of the balanced scorecard,the internal management level,and the learning growth level from the aspects of corporate film and television financial management,corporate film and television coordination,and corporate film and television innovation,and refer to the balanced scorecard from the perspective of the government and the audience At the customer level,select corporate performance evaluation indicators from the corporate film and television consumption power and corporate film and television support.Based on the established performance index system,the paper adopts the gray correlation degree-interval fuzzy analysis method to determine the expected rating of film and television cultural enterprises,and uses the fuzzy consistency approximation method to solve the index weight calculation.According to the data and expectation ratings of 500 simulation companies,the data is entropy-weighted based on the entropy method,the performance rating prediction of the simulation companies is performed using the entropy neural network and the entropy support vector machine,and the simulation data is five-fold cross-validated Improve the accuracy and generalization ability of the EWANN and EWSVM prediction models.Because the EWSVM model has better prediction accuracy,the EWSVM rating model is applied to practice.At the end of the paper,two typical companies were selected as the research objects to carry out the design and distribution of empirical questionnaires(first batch:2016,second batch:2019).Analyzing the respective characteristics of the two film and television cultural enterprises,the first batch of data was collected based on the indicator system framework established in Chapter 4,and the performance of the two enterprises was evaluated through the constructed EWSVM model.At the same time,further combining the actual situation of the enterprises in the two cases,using SWOT analysis tools to conduct an in-depth analysis of the advantages and disadvantages of the company’s performance from the perspective of the core stakeholders of the enterprise,and put forward suggestions for improvement,and finally to test the effect of the performance research strategy implementation.The second batch of feedback questionnaire surveys dynamically observe changes in corporate performance.