شناسایی عوامل موثر در سطح توانمندی های فناوری تجهیزات پزشکی کشور با استفاده از تکنیک دلفی فازی

محورهای موضوعی : مدیریت صنعتی

fatemeh hamidi ¹ , sadegh abedi ² , Mohammadreza Sanaie ³

1 - Department of Information Technology Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran
2 - Department of Industrial management, Qazvin Branch, Islamic Azad University, Qazvin, Iran
3 - Department of Information Technology Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran

تاریخ دریافت : 1400/03/30 تاریخ پذیرش : 1401/02/11 تاریخ انتشار : 1401/04/20

کلید واژه: توانمندی های فناوری, تکنیک دلفی فازی, تجهیزات پزشکی,

چکیده مقاله :

تولید تجهیزات پزشکی، ضمن ایفای نقشی کلیدی در تامین نیازمندی های نظام سلامت، پتانسیل اقتصادی و فناورانه قابل ملاحظه ای برای رشد و توسعه دارد. لذا هدف اصلی پژوهش شناسایی عوامل موثر بر سطح توانمندی های فناوری تجهیزات پزشکی می باشد. ﭘﮋوﻫﺶ حاضر از حیث هدف کاربردی و از حیث اجرا اکتشافی ﺑــﻪ ﺷــﻴﻮة کتابخانه ای، اسنادی و ﭘﻴﻤﺎﻳﺸــﻲ با ﻧﻈﺮﺳﻨﺠﻲ از 15 نفر از متخصصان و صاحب نظران داخلی در حوزه تجهیزات پزشکی انجام شده است که پس از مرور ادبیات تحقیق 22 عامل تاثیرگذار جهت ارزیابی سطح توانمندی های فناوری تجهیزات پزشکی توسط خبرگان استخراج گردید. سپس از روش دلفی فازی جهت شناسایی و انتخاب متغیرهای تصمیم گیری استفاده شد که نتایج تحقیق نشان می دهد 5 عامل خلاقیت و نوآوری، توسعه فناوری، طراحی و مهندسی، ساخت و تولید و رقابت پذیری جهت ارزیابی سطح توانمندی های فناوری تجهیزات پزشکی به عنوان مهم ترین عوامل در سطح توانمندی های فناوری تجهیزات پزشکی شناسایی شدند.

چکیده انگلیسی:

The production of medical equipment, while playing a key role in meeting the needs of the health system, has significant economic and technological potential for growth and development.The main purpose of this research is to identify the effective factors in the level of technology capabilities of medical equipment in the country. The present research has been conducted in terms of applied purpose and in terms of exploratory implementation, In the style of a library, documentary and survey between 15 persons, it by internal specialists and experts in the field of medical equipment of the country, after reviewing the research literature, 22 effective indicators were extracted by experts to evaluate the level of technology capabilities of the country's medical equipment.Then fuzzy Delphi method was used to identify and select decision variables that 5 indicators of creativity and innovation, technology development, engineering, manufacturing and production and competitiveness to assess the level of medical equipment technology capabilities of the country were identified, respectively. The results of this study show that creativity and innovation and technology development are the most important factors in the level of technology capabilities of medical equipment in the country.Then the fuzzy Delphi method was used to identify and select decision variables. The results show that 5 factors of creativity and innovation, technology development, design and engineering, manufacturing and competitiveness to evaluate the level of capabilities of medical equipment technology, as the most important factors, were identified at the level of medical equipment technology capabilities.

منابع و مأخذ:

1. Abbaszadeh, M. (2012). Considerations on Validity and Reliability in Qualitative Research, Journal of Applied Sociology, 23 (1): 4-19. (In Persian)


2. Ahmadvand, N., Fitras, M. H. (2018). The Impact of Import and Export of Low Technology Industries on Iran's Economic Growth, Iranian Journal of Applied Economic Studies, 7(27): 215-195. (In Persian(


3. Ashraf Kharamani, A., & Khamseh, A. (2019). Evaluation of Technology Capability of Wind Turbines Industry Using Panda and Ramanassen Model. Quarterly Journal of Industrial Technology Development, (37): 29-36. (In Persian)


4. Alavi Matin, Y., & Tolouei Ashlaghi, A. (2015). Assessing the technology capability of industrial The East Azerbaijan province and providing a suitable model for improve and upgrad technology, Journal of Productivity Management, 9 (35). (In Persian)


5. Arasti, M. R., Karimpour Kloo, A., & Firoozfar, B. (2016). A Conceptual Model for Technology Evaluation at Corporate Level Regarding Supply Chain Motives and Capabilities, Journal of Science & Technology Policy, 7 (4):40-55. (In Persian)


6. Boyd, D., & Crawford, K. (2012). Critical Questions for Big Data: Provocations for a Cultural, Technological, and Scholarly Phenomenon, Inf. Commun. Soc, 15 662–679.


7. Brito, J., Moreno, J. A., & Verdegay, J. L. (2012). Transport route planning models based on fuzzy approach. Iranian Journal of Fuzzy Systems, 9 (1): 141-158


8. Chang-Fu, H., Rong-Kwei, L., He-Yau, K., & Amy, H. I., L. (2014). A Systematic Evaluation Model for Solar Cell Technologies, Machematical Problems in Engineering, Article ID 542351.


9. Cho, S. P., Park, S. Y., Park, G. S., Lee, W. K. & Song, W. H. (2009). Comparative analysis on the performance evaluation of national R&D projects, Asian J. Technol. Innovat, 17, 121–142, http://dx.doi.org/10.1080/19761597.2009.9668669.


10. Chu, T.C., & Lin, Y. (2009). An Extension to Fuzzy MCDM. Computers and Mathematics with Applications, 57, 445–454.


11. Damnei, N., Babaei, F., & Dana, T. (2019). Determining and Rating Environmental Aspects Caused by the Production Process of Oxygenating Machine, Infectious Wastes Disinfection Device, and an Autoclave System with an Emphasis on Fuzzy AHP, TOLOO E BEHDASHT, School of Public Health, Yazd Shahid Sadoughi Univ Med Sci, 18(6):90-105.(In Persian)


12. Dehghani Sanich, A., & Behroznia, A. R. (2015). Identifying Effective Factors in the Level of Technological Capability of Electrical Industries (Case study: Iran Transfo Company), Quarterly Journal of Industrial Technology Development, (25): 84-77. (In Persian)


13. Ershadi Sis, M., Khodaei Mahmoudi, R., & Khezrloui Aghdam, R. (2013). Investigation and Evaluation of Technology Components with the Help of the Technology Atlas Model.Quarterly Journal of Industrial Technology Development, (22): 9-19. (In Persian)


14. Forghani, A. (2010). Measuring Technology Capability at the National Level, Studied in Iran. Quarterly Journal of Industrial Technology Development, 15. (In Persian)


15. Garshasbi, M., Salavati, A., Taheri, Z. & Mir Hosseini, T. S. (2016). Development practical Model for Technology Roadmap Formulation at the Enterprise Level Based on Change Management, Sixth International Conference and Tenth National Conference on Technology Management, Tehran, Association Iran Technology Management. (In Persian)


16. Ghazi Nouri, S. S. (2004). Technology Assessment: Tools to Help Policy, Tehran: Publish of New Industries Center. (In Persian)


17. Gholi Motlagh, M., Ghasemi, H., Mohammad Hosseini, B., Masaeli, R., & Fazli, S. (1400). Identification and ranking of factors affecting the policy of medical equipment production in Iran, Quarterly Journal of Public Policy, 7 (1): 9-29. (In Persian)


18. Grant, R. A. (2014). Strategy Analysis in the Present Age. Edited by Tehran: Rasa Institute. (In Persian)


19. Heshmati, M. M., Rahmani, K., & Feghhe Farahmand, N. (2019). Evaluation of technological capability for new technology strategies using Panda, Hex and Majlouf model in Sina Food Industries Holding, Quarterly Journal of Animal Environment, 11 (1): 400-391. (In Persian)


20. Hughes, t. & Evens, e. (2018). Emerging Technology Strategy: A strategy for guiding innovation to support the greater Portland region’s goals. Metro, 1-36.


21. Karimi Kashani, A. h., & Seyed Esfahani, A. M. (2005). Designing and explaining the pattern of technology development of the automotive industry in Iran with emphasis on export development. Quarterly Journal of Teacher of Humanities, 9 (2): 58-29. (In Persian)


22. Keramat, Sh., Manteghi, M., & Jafarnejad, A. (2019). Providing a Model for the Development of Space Technological Capabilities, Quartery Journal of Innovation Management, 8 (3): 75-53. (In Persian)


23. Khamseh, A. & Barati, S. (2017). Evaluation and prioritization of technological capabilities with a model developed in the automotive industry. Quarterly Journal of Technology Growth, 13 (52): 38-32. (In Persian)


24. Lal, S. (2006). Technology Policy and Market Encouragement. Sharif University Industrial Policy Office, Center for Technology Studies, Tehran. (In Persian)


25. Lindsay, J. (2011). The Technology Management: Audit, Cambridge Strategy Pub, UK New Models of Technology Assessment for Development, From STEPS Working Paper 45.


26. Mai, N., Phuong, N., Tung, N., & Vu, T. (2013). Assessment of the Capabilities of Technology and Research Development (R&D) at Food-Processing Firms in HO CHI MINH City, Vietnam, 3^rd International Conference on Management.


27. Majidifar, M. M., Zahedi, SH. S., Jafari, A., & Hashemi, S. S. (2021), the Prioritization of Technological Capability Assessment Indicators in Hotel Industry Case Study: Parsian Chain Hotels in Tehran.Tourism Management Studies, Quarterly Journal of Management & Accounting School, 10, (53). (In Persian)


28. Ocampo, L., Ebisa, J. A., Ombe, J., & Geen Escoto, M. (2018). Sustainable Ecotourism Indicators with fuzzy Delphi method – A Philippine Perspective. Ecological Indicators, 93, 874–888.


29. Powell,, (2003). The Delphi Techngue Myths and Realities. Journal of Advanced Nursing.


30. Radfar, R., & Khamseh, A. (2016). Technology Management (Comprehensive Attitude to Technology, Innovation and Commercialization). Scientific and Cultural Publications. (In Persian)


31. Radfar, R., Khamseh, A., Shieh, E., & Saghebi, M. (2014). Assessment of Technological Capability Level of Iranian Pharmaceutical Industry. Indian Journal of Science Research, 1, (2): 556-562.


32. Radfar, R., Moradpour, M., & Ehteshami Al-Agha, M. (2008). Providing a Model for Evaluation the Technological Capability of Auto-spare Parts Manufacturers. Journal of Management, 76. (In Persian)


33. Rao, S., & Perry, C. (2003). Convergent Interviewing To Build a Theory in Under-Researched Areas: Principles and An Example Investigation of Internet Usage In Inter-Firm.


34. Sadeghi, I., Saadabadi AA., Mazaraei, SH., & Nowroozi K. (2016). Investigating the Role of Intermediary Bodies of Innovation in Electromic Industries. 5^th International Conference and 9th National Conference on Technology Management. (In Persian)


35. Sarvar, R. & et al. (2010). The Place of Delphi Technique in Management and Urban Planning. Quarterly Journal of Urban Management, 2(4). (In Persian)


36. Shahlani, N., Naderi Sharif, A., & Mirzaei Azandariani, H. (2020). Designing an Assessing Model for the Capacity of Technology in Tactical Vehicle Production (Comparing a Defense Company with Similar Industries in the World). Scientific Quarterly Journal of Defense Strategy, 18 (71), 103-75. (In Persian)


37. Somervill, A. (2008). Effective us of the Delphi Process in Resrarch, Its Characteristes Strengths and Limitation.


38. Tabatabayan, S. A. A., Bagheri, S. K., Goodarzi, M., & Nodeh, A. (2010). Evaluation of Technology Policy in Indian Software Industry. Second Conference on Management of Technology. (In Persian)


39. Toloui, A., & Yaghoubi, A. (2012). Measuring Technological Level and Capability of the Industries in East Azerbaijan and Providing Proper Strategies for Improvement and Promotion of Technology. Journal of Basic and Applied Scientific Research, 2, 3664-3669. (In Persian)


40. Yuan, T., & Chen, P. (2012). Data Mining Applications in E-Government Information Security. Procedia Engineering, 29, 235–240.


41. Zaha, Z., Tian, Y. & Zillante, G. (2014). Modeling and Evaluation of the Wind Power Industry Chain: A Chain Study. Renewable and Sustainable Energy Reviews. 31, 397- 406.


42. Zarei, Gh. A., & Parsamehr, B. (2018). Identification of Effective Factors on the Development of Export of Medical Equipment Using Grounded Theory, Journal of Healthcare Management, 9 (3): 7-18. (In Persian)


43. Ziaee, A.M., Simforoosh, N., & Tabatabai, Sh. (2014). Evaluation of Postgraduate Medical Education Progress and Foresight: (a Necessity for Purposeful Development of P.G.M.E in IRAN)-Teb va Tazkiyeh, 23(1): 45-56. (In Persian)