Analysis and Optimization of Internal Factors of Cultural Industry Management Based on Structural Equation Model

Abstract

In recent years, my country’s cultural industry has developed vigorously and has become a new growth point of the national economy. With the introduction of a series of cultural reforms and policies to promote the development of the cultural industry, cultural enterprises have grown rapidly and are on the list. As the main carrier of a specific business format and cultural industry, cultural enterprises have made great contributions to optimizing the allocation of cultural resources, promoting employment, prospering culture, and meeting cultural and cultural needs by virtue of their unique cultural resources and talent virtues. Based on the structural equation model, this paper analyzes and optimizes the internal factors of cultural industry management. By establishing the internal factor index system that conforms to cultural industry management, the important internal factor index system is obtained, and then, it is optimized. From the reliability test results, it can be seen that the overall a coefficients of the outcome variables industrial resources (A), industrial management growth (C), and industrial development level (D) are all greater than 0.5. Except for the observation variable protection personnel (B4), the rest of the observations the coefficients of the deleted items of the variables are all smaller than the overall a coefficients, and the coefficients of each structural variable and the overall scale are all greater than 0.7, indicating that there is a strong correlation between the observed variables in each group, and the measurement results are very consistent and stable, which satisfies the structural comparison. The data requirements are reliable, scientific, and effective in theory; the weight calculation of the indicators shows that the weight of capacity growth is the largest, followed by resource development capacity, cultural resources, economic performance, social performance, and human resources; use all the data of the sample to conduct an overall analysis. In model fitting and verification, the results show that the chi‐square value is 932.731, the degree of freedom is 307, and the chi‐square degree of freedom ratio is 2.896, which is less than the critical value of 5, and the adaptation indicators meet the requirements. Sexuality (C) has the greatest impact on cultural industry management, followed by industrial resources (A) and resource allocation capability (B). From the parameter estimation of structural variables and various index variables, it is found that cultural industry management needs to improve the richness of material cultural resources. To start with, especially pay attention to the use of intangible cultural resources. In terms of resource allocation, development and protection must be carried out at the same time. In addition, the most important thing is to introduce talents. Financial support and preferential policy support also need to be paid attention to. In business operation, it is necessary to improve the innovation ability and operation ability, and at the same time, it is necessary to focus on the development of operation ability and industrial operation. In the operation of cultural enterprises, it is necessary to improve brand awareness and build a good reputation, so as to attract more people and go a long way.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 3 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.