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The economic conditions prevailing in the country, sanctions, rapid changes and transformations of the markets, and the complexity and disorder of the market environment, have made it necessary to pay attention to the anti-fragility approach in the industries. One of the most interesting industries is the textile industry. Hence, due to the strategic nature and having a large domestic consumption market, the textile industry must be anti-fragile in order to quickly adapt to new conditions and maintain and improve its competitive value in a safe and stable condition. This research was conducted with a review of the literature in order to achieve the anti-fragility of textile industries throughout the supply chain. We identified the anti-fragility components and weighed them using the best-worst method. Then, we reviewed the literature on the textile industry and interview the experts in this industry, to identify and evaluate the fragility factors. By using the CoCoSo method the most important factors that disrupt anti-fragility were ranked. Finally, the results of the research showed that the components: unexpectedness, Adequate supervisors, and Attraction are the most important components. Also, the results obtained from the CoCoSo method showed that the of ''Lack of investment in the (clothing) industry", "Saturation of the market with counterfeit brands due to the structural weakness of the distribution and smuggling network", and "Undeveloped distribution network" are the most important in the supply chain of the textile industry.

INTRODUCTION The phenomenon of organizational insentience has been one of the main challenges in recent years and refers to a situation in which the employees of an organization have become indifferent to their organizational environment. The current research was conducted to investigate the causes and contexts of the formation of organizational insentience in the Red Crescent Society of Tehran province, Iran. METHODS: This applied study was conducted based on the descriptive-correlation method of data collection. The statistical population of this research included all the managers of Red Crescent Society in Tehran province in 2021. The samples (n=90) were selected using Cochran's statistical formula and stratified random sampling. The required data were collected using a researcher made organizational insentience questionnaire. The validity and reliability of the questionnaire were checked and confirmed. The collected data were analyzed in Smart PLS software using structural equation modeling with partial least squares approach. FINDINGS: The results of the research showed that causal conditions had a direct, positive, and significant effect on the central category with a standard beta coefficient of 0.725, t=17.625, and P=0.001 at the level of one percent error. Moreover, contextual conditions with a beta coefficient of 0.410, t=3.107, and P=0.002 had a direct, positive, and significant effect on the category of strategies at the level of one percent error. Intervening conditions had a direct, positive, and significant effect on strategies at the level of one percent error (standard beta coefficient=0.221, t=3.008, and P=0.003). The central category had a direct, positive, and significant effect on the strategy category with a beta coefficient of 0.334, t=2.282, and P=0.023 at the five percent error level. Based on the results, at one percent error level, the strategies presented in the research had a direct, positive, and significant effect on the outcomes (standard beta coefficient=0.347, t=3.769, and P=0.000). In total, the results showed the existence of organizational insentience in the Red Crescent Society of Tehran province, which can be reduced by applying appropriate methods. CONCLUSION: According to the findings, by reducing the sense of meaninglessness, double standards, eliminating organizational discrimination, applying appropriate procedures in strategies and their implementation, paying attention to the structural dimensions of the Red Crescent Society in Tehran province, and implementing meritocracy management, it would be possible to increase organizational social capital, the level of interest, commitment, and responsibility of employees towards the Society and work, organizational independence, organizational justice, the atmosphere of trust, and supportive behaviors from the Society and employees. By adopting these measures, a step would be taken toward preventing the formation of organizational insentience in the Red Crescent Society of Tehran province.

Traditional approaches applied in supply chain management consider only the physical logistic operations and ignore the financial aspects of the chain. In this study, a mathematical model has been developed to address the supply chain network design problem with a value-based management approach. This model integrates both operations and financial aspects to maximize the value created and measured by shareholder value analysis (SVA) as an objective function. The results attributed to the developed model and the basic model are compared. The results indicate that creating more value for the company and its shareholders is achievable with appropriate financial decisions. To validate and show the applicability of the proposed model, it was solved by GAMS software with data provided by literature. Finally, sensitivity analyses on financial parameters were performed to evaluate the results. The results clearly reveal the improvement of using the new approach and convince managers to take advantage of the proposed approach.

The present study explained the effective components' role in the relationship between investment efficiency and tax avoidance. The study's statistical population is the firms listed on the Tehran Stock Exchange. Using the systematic elimination sampling method, 128 companies were selected as the research sample in the 8 years between 2014 and 2021. Data for measuring the variables were collected from the Codal website and the companies' financial statements; preliminary calculations were made in Excel; then, the research hypotheses were analysed and tested using a multivariate regression model with panel data in Stata and Eviwes software. The results show that tax avoidance has a negative effect on investment efficiency. Also, the comparability and readability of financial statements have an inverse effect on the relationship between tax avoidance and investment efficiency. It can be concluded that the comparability and readability of financial statements weaken the inverse relationship between tax avoidance and investment efficiency. Other findings showed that the company's information environment has a direct and significant effect on the relationship between tax avoidance and investment efficiency, and competitive power does not significantly affect the relationship between tax avoidance and investment efficiency.