Standardization of the green knowledge management questionnaire among the experts of the Ministry of Sports and Youth of the Islamic Republic of Iran

The translation, adaptation and normalization of standard tools provide a useful opportunity to test the applicability of tools in other societies, and a basic step in proving that test is whether the pattern of concurrent problems identified by the tool in a society matches the identification patterns. made by that tool is suitable in other societies. Therefore, the aim of this research is to standardize the green knowledge management questionnaire among the experts of the Ministry of Sports and Youth of the Islamic Republic of Iran. The statistical population of this research was formed by the experts of the Ministry of Sports and Youth (N=320), from whom 273 questionnaires were collected in the form of available sampling. In order to collect data, the green knowledge management questionnaire made by Siming et al. (2022) was used, which consisted of 26 questions. In order to analyze the data, descriptive indices and statistical tests of Cronbach's alpha coefficient, McDonald's omega coefficient, theta coefficient, exploratory factor analysis and confirmatory factor analysis were used in SPSS, Lisrel and Stata statistical software. The results showed the reliability of the questionnaire (α=0.958, Ω=0.971, θ=0.983). Regarding construct validity and based on the amount of relationships and significance level, all the questions had a significant relationship with the components and were able to be a good predictor for their factor. The ratios of X2 to df are equal to 2.58 and (RMSEA) which is equal to 0.075, so the model has the necessary fit. Also, the indices of NFI=0.95, CFI=0.95, GFI=0.91, AGFI=0.90 and IFI=0.96 confirmed the fit of the model. Regarding the relationships of the components with the concept of green knowledge management, the results showed that the components of knowledge creation, knowledge acquisition, knowledge storage, knowledge sharing and knowledge application were able to be good predictors for the desired concept and therefore have a significant impact on experts' environmental knowledge. As a result, the internal and external validity of the "green knowledge management" model has been confirmed and this tool can be used to collect the required data by researchers.