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Kharaghani, Meysam, Homayounfar, Mahdi, Taleghani, Mohammad. (1402). Value Chains Analysis: Application of Fuzzy Cognitive Map in Pharmaceutical Industry. نشریه علمی پژوهشی دانشگاه آزاد اسلامی, (), -. doi: 10.30495/jsm.2023.1997481.1885
Meysam Kharaghani; Mahdi Homayounfar; Mohammad Taleghani. "Value Chains Analysis: Application of Fuzzy Cognitive Map in Pharmaceutical Industry". نشریه علمی پژوهشی دانشگاه آزاد اسلامی, , , 1402, -. doi: 10.30495/jsm.2023.1997481.1885
Kharaghani, Meysam, Homayounfar, Mahdi, Taleghani, Mohammad. (1402). 'Value Chains Analysis: Application of Fuzzy Cognitive Map in Pharmaceutical Industry', نشریه علمی پژوهشی دانشگاه آزاد اسلامی, (), pp. -. doi: 10.30495/jsm.2023.1997481.1885
Kharaghani, Meysam, Homayounfar, Mahdi, Taleghani, Mohammad. Value Chains Analysis: Application of Fuzzy Cognitive Map in Pharmaceutical Industry. نشریه علمی پژوهشی دانشگاه آزاد اسلامی, 1402; (): -. doi: 10.30495/jsm.2023.1997481.1885

Value Chains Analysis: Application of Fuzzy Cognitive Map in Pharmaceutical Industry

Journal of System Management
مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 01 دی 1402
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.30495/jsm.2023.1997481.1885
نویسندگان
Meysam Kharaghani1؛ Mahdi Homayounfar* 2؛ Mohammad Taleghani3
1Ph. D. candidate, Department of Industrial Management, Rasht Branch, Islamic Azad University, Rasht, Iran
2Assistant Professor, Department of Industrial Management, Rasht Branch, Islamic Azad University, Rasht, Iran
3Associate Professor, Department of Industrial Management, Rasht Branch, Islamic Azad University, Rasht, Iran
چکیده
This study aims to investigate the factors influencing value chain (VC) in pharmaceutical industry, as a very important sector in Iran. The research method is descriptive-analytical in term of method. The required data have been collected from the experts of a public joint stock company. Conducting the research, first the literature of VC is reviewed to identify the initial factors affecting on VC of pharmaceutical companies. In this Phase, 34 factors were identified in 8 categories including; institutional, industry, political, economic, social, technological, legal and environmental factors. In the next step, a primal evaluation of the initial factors by 14 experts of the research, resulted to the 20 more important factors which were used in the modelling process. Due to the need for fuzzy logic regarding subjective judgments in cause-effect relationships between factors, the fuzzy cognitive mapping (FCM) method in FCM expert software is used to visualize the relationships among these factors. The results show that technological capabilities, government policies, company resilience, financial strength, medicine price, sustainable waste management, cost of raw materials, production technology, cost of energy, R&D, operational efficiency, recycling capabilities, transportation cost, VC governance (coordination/ partnerships/ integration), consumer behavior and social (market) trends, environmental concerns about waste disposal internet of things (IoT) and connected devices, non-value-adding activities, import limitations and skilled human resources, respectively are the most influencing factors on pharmaceutical VC.
کلیدواژه‌ها
Value Chain؛ Pharmaceutical Industry؛ Medicine؛ FCM؛ IoT
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