April 16, 2025
Persian Gulf University
فارسی
Ebrahim Rajabpour
Academic Rank:
Associate professor
Address:
Bushehr Province, Bushehr City, Persian Gulf University, Faculty of Business and Economics, Department of Business Administration
Degree:
Ph.D in Public Administration- Human resource management
Phone:
09128497144
Faculty:
School of Business and Economics
E-mail:
e [dot] rajabpour [at] pgu [dot] ac [dot] ir
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Research
Title
Pathology of the factors contributing to the underdevelopment of manufacturing industries in Bushehr province using FAHP
Type
Article
Keywords
آسيب شناسي، توسعه صنعت، تحليل سلسله مراتبي فازي، صنايع توليدي، صنايع استان بوشهر
Journal
تصمیم گیری و تحقیق در عملیات
DOI
https://doi.org/10.22105/dmor.2025.481921.1876
Researchers
Ebrahim Rajabpour (First researcher)
,
hasehm mahjor (Second researcher)
Abstract
Purpose: With the entry of global industries into the Fourth Industrial Revolution and the observation of the lagging domestic industries, there is a need for scientific efforts to identify and address the barriers to the development of local industries. The manufacturing industries in Bushehr province, as active enterprises in one of the regions with industrial potential and abundant natural resources, grapple with challenges across different domains, and the academic communities in the province feel a responsibility to work towards resolving these issues. The objective of the present study is to analyze the factors contributing to the underdevelopment of manufacturing industries in Bushehr province. Methodology: The statistical population of this study comprises experts active in manufacturing companies within Bushehr province. In the first phase of study, scientific resources and theoretical foundations were utilized to extract the criteria for identifying impairments in manufacturing industries. Subsequently, a focus group was formed, and feedback was solicited from experts in the industries of Bushehr province, leading to the prioritization and finalization of the indicators through fuzzy methods. In the second phase, the extracted components and indicators were weighted and ranked using the Analytic Hierarchy Process technique. The research instrument in both phases was a researcher-constructed questionnaire, which was validated for content by professors and experts in the field. The reliability of the questionnaire was confirmed using the consistency ratio Findings: Out of 74 identified indicators from the theoretical framework, 39 indicators were deemed to have higher weight and significance for inclusion in the second phase. These indicators were categorized into eight overarching criteria. The weights of the eight general components were as follows: restrictive government policies (0.163), weaknesses in strategic decision-making (0.158), weaknesses in opti