:: Volume 14, Issue 51 (5-2025) ::
mieaoi 2025, 14(51): 317-336 Back to browse issues page
Diagnosing the complications of small and medium industries using the CSCMP model Case study: shoe and leather industries of East Azerbaijan province
Amir Hejri1 , Naser Feghei Farahmand2 , Morteza Honarmad Azemi3
1- Doctoral student of management at Islamic Azad University, Tabriz, Iran
2- Associate Professor and faculty member, Department of Management, Islamic Azad University, Tabriz branch, Iran , farahmand@iaut.ac.ir
3- Assistant professor and faculty member, Department of Management, Islamic Azad University, Tabriz branch, Iran
Abstract:   (827 Views)
The purpose of this research is to identify the complications of the shoe and leather industries of East Azerbaijan Province using the CSCMP model. This research is descriptive based on survey in terms of practical purpose and in terms of research method, and analytical-mathematical in terms of research method. In this research, the statistical population related to the identification of complications in the shoe and leather industries is 92 experts and experts and managers of the mentioned industry. In this research, the tool for measuring variables is a researcher-made questionnaire. In order to analyze the data of this research, the method of descriptive statistics, factor analysis, text mining, CSCMP model was used. According to the results, 113 complications were identified based on the level of severity, including non-complications, mild, important, very important, and severe. 20% of identified complications (22 cases) have "severe" weight and 27% (30 cases) have "very important" weight, which indicates the presence of 47% of effective complications in the fate of industries. It is leather and shoes. The complications of these sectors have a high negative impact on the performance of leather and shoe manufacturing industries compared to other sectors. The identification of these complications was done using confirmatory factor analysis of the variables, and all the factors had a suitable confirmatory factor analysis. Further, by observing the text mining results, it was concluded that most of the complications in the leather and shoe industries are due to the incomplete implementation of processes related to "political factors". "Materials and warehousing planning", "production" and "rules and regulations" are derived. Also, using the hierarchical analysis process, 35 common and important complications in the leather and shoe industries of the studied companies have been prioritized.

 
Article number: 12
Keywords: problem diagnosis, CSCMP model, shoe and leather industries
Full-Text [PDF 825 kb]   (297 Downloads)    
Article type: Research | Subject: Special
Received: 2023/05/20 | Accepted: 2024/08/26 | Published: 2025/05/26


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Volume 14, Issue 51 (5-2025) Back to browse issues page