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Identifying and prioritizing the dimensions and factors of the support framework for domestic manufacturers of gas industry equipment
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Nader Rezaeian1   , Mohamad Reza Razavi 2, Afsaneh Zamani Moqadam3 , Jalil Heidary Dahooie4 |
1- Ph.D. Candidate, Department of Technology Management, Faculty of Economic and Management,Science and Research Branch, Islamic Azad University, Tehran, Iran.
2- Assistant Prof., Faculty of Economic and Management, Science and Research Branch, Islamic AzadUniversity, Tehran, Iran, , m.razavi@srbiau.ac.ir
3- Associate Prof., Department of Industrial Management, Faculty of Management, University of Tehran,Tehran, Iran.
4- Associate Prof., Department of Educational Management, Faculty of Management and Economics,Science and Research Branch, Islamic Azad University, Tehran, Iran. |
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Abstract: (574 Views) |
| The purpose of this study is to identify and prioritize the dimensions and factors of the National Iranian Gas Company support framework to strengthen the capability of domestic suppliers. The initial version of the dimensions and factors was extracted from the literature review of industrial policy and experiences of supporting domestic manufacturing in oil-rich countries. By field method and with semi-structured interviews with gas industry experts, the extracted dimensions and factors were adapted to the mission and jurisdiction of that company. By forming an expert panel of gas industry and university experts, and using the fuzzy Delphi method, the support framework was finalized in 7 dimensions and 35 factors. The importance-performance matrix was used to prioritize the factors. The importance of the factors was calculated with the questionnaire tool and by employing the Best-Worst multi-criteria decision-making method. The performance of the factors was quantified with a questionnaire and statistical analysis. Finally, 11 factors were identified in the concentrate quadrant and 8 factors in the “keep up the good work” quadrant. |
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| Keywords: Best-Worst Method (BWM), Importance-performance matrix analysis (IPMA), Local content policies, Multi-criteria decision-making, Industrial policy, Iranian gas industry. |
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Full-Text [PDF 690 kb]
(240 Downloads)
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Type of Study: Research |
Subject:
Management
Received: 2023/01/21 | Accepted: 2023/04/6 | Published: 2024/02/29
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