Designing a strategic cultural management model based on the components of innovation economics and its report quality

The purpose of this study was to design a strategic cultural management model based on the components of the innovation economy. The research is applied in terms of purpose and in terms of data type is quantitative. The statistical population consisted of all the experts and professors in the field of cultural management and economic sciences of the universities of Tehran. 34 members of the community were chosen as a sample of the research purposefully. In the present study, the library and field method has been used to collect information. The data collection method was a researcher-made questionnaire. For determining the validity of the questionnaire, formal validity, content and structure have been used. To measure the reliability of the instruments, the questionnaire after the distribution of the test was measured through Cronbach's alpha, which was 0.83. After assuring the normalization of the data, the structural equation modeling has been used using the Lizerl package. After several steps, identifying the indicators and components of the model (including 7 components and 72 indicators) and validating them and verifying them by exploratory and confirmatory factor analysis in the quantitative stage, indicators and components of the strategic cultural-management model based on the innovation economy (Including 68 indicators and 7 components) and thus the model components were identified. In the following, with the help of confirmatory factor analysis, a structural model was designed that shows the relationships between each component. The factor-based component of factoring 0.86 has the highest correlation with strategic cultural management. Then, the components of high selection with factor load 0.80, maximum outsourcing with factor load of 0.79, market infrastructure with factor load of 0.74, focus on intangible resources with factor load of 0.70, increasing synergy with factor load of 0.69, and provision of alternative services based on customer demand with load The factor is 0.67.