Study of Environmental Indicators of Performance Excellence Model (EFQM) in Steel Industry with Using Meta- Synthesis qualitative approach

Given the increasing regulation and requirements of governments and the general public's awareness of environmental protection in the present age, organizations seeking to preserve their survival cannot ignore environmental issues. Given the environmental pollution that is present in the steel industry, ways of assessing and addressing environmental problems and reducing pollution must be reviewed. The purpose of this study was to identify the environmental indicators of performance excellence model in the steel industry using a Meta- Synthesis qualitative approach. Using a Meta- Synthesis sample of 40 articles, the research sample was identified and content analysis, categories, concepts and codes extracted. The Shannon entropy method was determined. The results of data analysis showed that EFQM environmental performance excellence model environmental indicators related to green leadership (3 components), green strategy (5 components), green staff (3 components), partnerships and green resources (5 components), processes, products and green services (8 components), customer green results (2 components), employee green results (4 components), community green results (3 components) and business green results (3 components) are the most important environmental factors in the steel industry are considered. Indicators such as adhering to environmental policies, green process planning, and use of up-to-date technologies, staff training, and recycling are the most important factors in implementation.