احسان ساده

This article aims to provide a model to explain the role of green human resource management in the resilience economy of small and medium-sized companies. The method of this research is a developmental-applied type of mixed research (qualitative-quantitative), which was used in the qualitative part of the Foundation (emerging) data method to identify components and indicators, and in the quantitative part, the descriptive-survey method was used. The statistical population in the qualitative part included experts (university faculty members) in the fields of human resource management, environment, and economics, after 28 interviews, the research reached theoretical saturation, and in a small part of the Cochran formula, there were 229 employees of the company. Industrial companies of Eshtehard town were selected. In the qualitative section, 13 codes were identified in process factors, 14 codes in prefixes, and 10 codes in suffixes. For the resistance economy, a researcher-made questionnaire with 31 indicators was used. The validity of the questionnaire was confirmed by the CVR method. Cronbach's alpha of the green human resources management questionnaire was equal to 0.761 and the resistance economy questionnaire was equal to 0.870. Two types of internal and external validity were used to validate the model. The results of the analysis of factor loadings of research components showed that there is a positive and significant linear relationship between each dimension of green human resource management. The results of the research model, it showed that among the identified factors, the antecedent dimension with a coefficient of 0.819, process factors with a coefficient of 0.797 and suffixes with a coefficient of 0.713, and finally, the coefficient of the impact of green human resources management on the resistance economy was obtained as 0.914, which shows the impact of 91 A percentage of aspects of green human resource management had resistance on the economy.

The purpose of this study is to evaluate the rough analysis process to select the most effective functions of supply chain flexibility based on the propositions of integration of competitive values in the petrochemical industry. The methodology of this research is hybrid and to perform it from meta-synthesis analysis; Delphi and Rough collection used. The target population in the qualitative sector was similar research and academic experts in the field of industrial management. However, the target population was a small number of 23 managers with experience in petrochemical companies, which is acceptable from the statistical population due to the need to analyze the Rough process. In this study, based on the combined analysis of selected researches, 5 propositions of competitive value integration and 5 components of supply chain flexibility were determined, which entered the Rough collection analysis phase according to the confirmation of theoretical adequacy based on Delphi analysis. The results in this section identify the most effective propositions of integration of competitive values of companies operating in the petrochemical industry, three propositions of demand-based management propositions (P2); creating innovative values (P3) and reducing operating time (P5), which affects the flexibility of the supply chain and causes the flexibility of financing as the most effective component of the flexibility functions in the supply chain in the petrochemical industry.