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This study was done to integrate Total Quality Management (TQM) and Supply Chain Management (SCM) in a unified framework to study improving the employee service quality of rural cooperative companies and obtaining an important tool for competition in future management. All employees of rural cooperative companies of Tehran Province were selected as a statistical population (N= 500). The stratified sampling method (n= 217) was used. To collect information, the questionnaire for SCM and TQM was developed based on an extensive literature review, and its reliability and validity was verified by experts, pilot test, and various statistical techniques. According to the proposed conceptual framework, the direct and indirect impact of the variables was investigated by the Path Analysis in the LISREL software. The results showed that there was a positive significant relationship between dimensions of SCM and TQM. The results of path analysis show the direct impact of all aspects of TQM on internal integration and the effect of “support and leadership of the top management of the organization”, “strategic planning”, and “customer focus”. Also, based on the research results, the management support and “support and leadership of the top management of the organization”, strategic planning, and customer focus have an indirect effect on internal integration. Overall, our findings reveal that building SCM and TQM by strengthening the effect of each other is an effective way to achieve services quality among the employees of rural cooperatives in Tehran Province.

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Careful and focused decision-making in the food sector reduces the challenges threatening food systems' stability. Besides, it can optimally control any changes that result in food shortages. The present study aimed to identify identifiable factors' effects on food insecurity using a dynamic system with an emphasis on consumption behaviors. A dynamic model was developed to understand the long-term interaction between individual characteristics, average cost, average income, and hygiene status, and a dynamic model was then validated and operationalized among 1,000 Alborz Province’s households randomly using a questionnaire. The base scenario for predicting food insecurity changes revealed that food insecurity had increased over ten years, resulting in changes in social and economic status and vulnerability of urban society. Four additional scenarios indicated that the average cost and income could directly affect the food insecurity status in Iran by indirectly influencing policies to increase food security, health, and hygiene. Individual characteristics and food security also influence food insecurity and reinforce the relationship between these variables. The study revealed that dynamic systems modeling could be a valuable tool for assessing food insecurity policies and their factors in developing countries.