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Ahmar E, Ahmadi M. Designing a Structural Model of Strategic Thinking to Prioritize Components in a Large Supply Chain. jor 2025; 22 (2)
URL: http://jamlu.liau.ac.ir/article-1-2288-en.html
URL: http://jamlu.liau.ac.ir/article-1-2288-en.html
Department of Business Management, Payame Noor University, Tehran, Iran , ahmadi1284@pnu.ac.ir
Abstract: (85 Views)
Successful management in the supply chain requires the implementation of strategic decisions by managers to achieve the highest competitive advantages in the market. The objective of this research is to design a structural thinking model to prioritize the components in the large supply chain. This research is applied and falls under the category of descriptive-correlative studies. The statistical population of the research includes 400 people from electrical industry professionals in Saoud. Based on Cook’s formula, 200 people were selected as the sample. The data collection tool is a questionnaire designed by the researcher. For assessing the questionnaire’s content validity, content validity ratio (CVR) was used, and for testing its reliability, Cronbach’s alpha was used, resulting in a value of 0.787. In this research, to examine the relationships between the components of the model, structural equation modeling was used with the LISREL software. The results of the data analysis indicate that the relationships between the resilient characteristics and product reliability, flexibility, use of new technology, customer communication management, and information sharing in the electrical production industry supply chain are not significant. This means that in the electrical production industry, sufficient attention to these factors is not necessary for strategic thinking; therefore, strengthening these components is essential for improving the supply chain. Finally, using the Friedman test, the prioritization of factors was determined. The average rank of each of the features was the basis for this prioritization. Comparing the average ranks shows that the highest average rank belongs to feature D1 (Customer Communication Management) and the lowest average rank belongs to feature I1 (Product Reliability). This research can help organizations make better decisions using data and accurate analysis, leading to sustainable success.
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