Journal of Resource Management and Decision Engineering 5 Serial Number 15 2026 03 01 Presenting a Model of Factors Affecting on the Productivity of Mining and Mineral Industries Organizations in order to Performance Improvement Using Structural Equation Modeling Presenting a Model of Factors Affecting on the Productivity of Mining and Mineral Industries Organizations in order to Performance Improvement Using Structural Equation Modeling 1 12 10.61838/kman.jrmde.197 EN Journal Article 2025 08 13 <p class="Abstract"><span lang="EN-GB">The mining and mineral industries organization is one of the vital pillars in job creation and economic growth and development of many countries, including developing countries. Therefore, the presenting research was conducted with the aim of presenting a model of factors affecting on the productivity of mining and mineral industries organizations in order to performance improvement. Methods and Materials: This study was applied in terms of purpose and cross-sectional from type of descriptive in terms of implementation method. The population of the present research was mining and mineral industries civil activists, including experts, managers, and specialists in the Iranian Mineral Processing Research Center and its parent organization (IMIDRO). The sample size based on the Cochran formula was estimated 174 people, who were selected by stratified random sampling method based on key subgroups (management, engineering, human resources, maintenance and repairs, and safety and environment). The instrument of this study was a researcher-made questionnaire of factors affecting on the productivity of mining and mineral industries organizations in order to performance improvement (67 items), which was completed in person and electronically (Porsline system). The research data were analyzed using exploratory factor analysis and structural equation modeling in SPSS and Smart-PLS version 30 software. Findings: The results of exploratory factor analysis showed that 13 items of factors affecting on the productivity of mining and mineral industries organizations in order to performance improvement were removed from the instrument due to factor loadings less than 0.70 and the final questionnaire had 54 items in 12 components and 6 dimensions. The convergent validity was obtained for the dimensions of intervening conditions and strategies less than 0.50 and for other dimensions above 0.50 and for two components of technological infrastructure and economic factors and macro policymaking less than 0.50 and for other components above 0.50. Also, reliability by Cronbach's alpha and combined methods was higher than 0.70 for all dimensions, reliability with Cronbach's alpha was higher than 0.70 for 9 components and lower than 0.70 for three components of technological infrastructure, technology and innovation, and economic factors and macro policymaking, and reliability with combined method was higher than 0.70 for 11 components and lower than 0.70 for one component (technological infrastructure). In addition, the model of factors affecting on the productivity of mining and mineral industries organizations in order to performance improvement had a good fit, and in this model, causal conditions on the central phenomenon, the central phenomenon, background conditions, and intervening conditions on strategies, and the strategies on outcomes had a significant effect (P&lt;0.001). Conclusion: According to the results of this study, in order to increase the productivity of mining and mineral industries organizations in order to performance improvement can be provided the basis for improving the identified valid dimensions and components.</span></p> https://www.journalrmde.com/index.php/jrmde/article/download/197/199