شناسایی نقاط ضعف ساختار نظارتی بر مناقصه های پروژه های زیرساخت های عمرانی با استفاده از روش های ترکیبی دلفی فازی و تحلیل سلسله مراتبی فازی (مطالعه موردی:شهرداری شیراز)
مهرداد رزمجویی
1
(
گروه عمران،دانشکده مهندسی،واحد شیراز،دانشگاه ازاد اسلامی شیراز،ایران
)
علی لیاقت
2
(
عضو هیات علمی تمام وقت
)
کلید واژه: ساختار نظارتی , پروژه های زیرساخت , شهرداری شیراز,
چکیده مقاله :
تحقیق حاضر با هدف شناسایی نقاط ضعف ساختار نظارتی در مناقصه های پروژه های زیرساخت های عمرانی با استفاده از روش های ترکیبی دلفی فازی و تحلیل سلسله مراتبی فازی (مطالعه موردی:شهرداری شیراز) طراحی و اجرا گردید. . شیوه نمونه گیري به صورت هدفمند و در دسترس خواهد بود. بدين صورت كه از بین خبرگانی كه در دسترس می باشند، بعنوان نمونه انتخاب خواهند شد. روش دلفی جهت استخراج و یا غربالگری شاخص‌های مساله تصمیم‌گیری استفاده گردید.بنا بر تجربیات و نظرات نویسندگان، تعداد افرادی که در پانل دلفی قرار می‌گیرند معمولا بین ١٠ تا ١٥ نفر هستند اما با توجه به ضریب اهمیت موضوع،این تعداد را به 35 نفر افزایش دادیم.داده ها پس از دو راند فازی زدایی تجزیه و تحلیل صورت پذیرفت .نتایج مربوط به آلفای کرونباخ نشان داد که میزان پایایی 916/0 محاسبه گردید که نشان دهنده اعتبار و همبستگی درونی عالی گویه ها می باشد. با توجه به مولفه های استخراجی، 5 عامل مهم استخراج گردید که شامل :1- قانونگرایی 2- شفافیت 3- استقرار و توسعه سامانه های الکترونیک و فناوریهای نوین 4- نظام نظارت و کنترل داخلی 5- شایسته سالاری می باشد. با توجه به مولفه های استخراج شده 27 سوال طراحی گردید که جهت اعمال نظر درروش دلفی فازی در قالب دو راند بررسی گردید، گویه شایسته سالاری و از مولفه های مربوطه این گویه، مولفه های زمینه سازی جذب و نگهداری نیروهای متعهد و متخصص به عنوان مهمترین و در پنل رتبه بندی به عنوان اولویت اول مشخص گردید.
چکیده انگلیسی :
The current research was designed and implemented with the aim of identifying the weakness of the supervisory structure in the tendering of construction projects using the combined methods of fuzzy Delphi and fuzzy hierarchical analysis (case study: Shiraz Municipality). . The sampling method will be targeted and accessible. In this way, they can be selected as a sample from among the experts who can be. The Delphi method has been used to extract or screen decision-making indicators. According to the authors' experiences and opinions, the number of people who are included in the Delphi panel is usually between 10 and 15 people, but due to the large amount of the subject, their number is 35 people. arrives. The data were analyzed after two rounds of de-fuzzification.The results related to Cronbach's alpha showed that the reliability rate was calculated as 0.916, which indicates the high internal validity and correlation of the items. According to the extracted components, 5 important factors were extracted, which include: 1- legality 2- transparency 3- establishment and development of electronic systems and new technologies 4- internal monitoring and control system 5- meritocracy. According to the extracted components, 27 questions were designed to apply the opinion in the fuzzy Delphi method in the form of two rounds. And it was identified as the first priority in the ranking panel.
[1] Panahi،B، (2021): Meta-analysis of variables affecting organizational transparency and influencing variables in research conducted in Iran. Managing Organizational Culture. 19(4): 683-70 [In Persian].
[2] Jamshidian, M.A., Mirspasi, N. & Daneshfard, K.A. (2020). Designing an organizational transparency model for the health of the administrative system. Standards and Quality Management. 10(3):1-41[InPersian].
[3] Khezri, Mohammad, Mohammad Torbtim Ghadam and Mohammad Reza Nazar (2010) Medical Economics, Yaqi Institute of Science Humanity and culture studies, second year, first issue, [InPersian].
[4] Khajeh Mohammadlou, Ali, (1401) Investigating the effect of electronic government and ransparency in reducing corruption; application of Markov-switching method.National Conference on Promotion of Transparency, Tehran. [InPersian].
[5] Dehghan, Saeed, Behnam Shekralhi and Khodabakhsh Khodarahmi (2012), Contradictions, lack of transparency and damages The law of holding tenders and proposals for review and amendment, the first global consensus of criticism and Examining the law of holding tenders and its regulations, Tehran, Niro Research Institute. [InPersian].
[6] ( Roohollah Hosseini & Kaveh Jan Ahmadi (2024): The effect of knowledge-based leadership on sustainable competitive advantage with the mediation of management meritocracy (case study: Tehran Post Office), Spring 2024. [InPersian].
[7] Rahmani, Tehmine and Nader Mirzadeh Kohshani (2014): Legal pathology of holding tenders in Iran.Administrative law quarterly (scientific-research), second year, number 7. [InPersian].
[8] Sediqi, Ahmed (2009); Transparency of contracting tenders from the perspective of international law and Iranian law.Master's Thesis of International Law, Payam Noor University, Tehran Faculty of Law, Department of Law. [InPersian].
[9] Mehjoori Pournaseri, Massoud, (2016); Comparison of the financial and trading regulations of industrial free trade zones with the agreement governing government procurement in the World Trade Organization, public law master's thesis, Allameh Tabatabai University, Faculty of Law and Political Sciences. [InPersian].
[10] Naymeh, Hassan, (2010); Government's responsibility in administrative contracts in the light of the theory of good governance, Doctoral Dissertation of Public Law, Shahid Beheshti University, Faculty of Law. [InPersian].
[11] Naymeh, Hassan (2011); Transparency and fight against corruption in the conclusion of administrative contracts in Iran, Journal of Research Legal, special letter number 4. [InPersian].
[12] NajafPourshaaban, and Mohammad Javad Haqshanas (2010). Free flow of information and fight against corruption, report Inspection organization research, second year, number nine. [InPersian].
[13] Chen, C. & Ganapati, S. (2021). Do transparency mechanisms reduce government corruption? A metaanalysis. International Review of Administrative Sciences، 89(1): 1-18.
[14] Hatush, Z. and Skitmore, M. (1997). “Criteria for Contractor Selection"; Construction Management and Economics, pp. 19-38.
[15] Idrus, A., Sodangi, M., & Amran, M. A. (2011). Decision criteria for selecting main Contractors in Malaysia , Engineering and Technology 3(12): 1358-1365,
[16] Marzouk, M. ( 2006), Utility Theory Model for Equipment Selection,Constructon Innovation, 6, 21-32
[17] Silal, P., Jha, A., & Saha, D. (2023). Examining the role of E-government in controlling corruption: A longitudinal study. Information & Management, 60(1), 103735.
[18] Cheng, C.H. and Lin, Y, 2002. Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation. European journal of operational research, 142(1), pp.174-186.