Document Type : Research Paper
Authors
Faculty of Architecture and Urban Planning, Shahid Beheshti University, Tehran, Iran.
Abstract
Contractors help the government in carrying out construction and service projects. To reduce the risks resulting from the preparation and implementation of construction projects, the insurance industries should cooperate to include risk management. Contractors are facing many challenges regarding their insurance. Therefore, in this study, significant attention has been paid to identifying and ranking the challenges of contractor insurance in construction projects. The required information has been collected through the Delphi method and the opinions of experts in contracting companies. To identify the challenges, an open-ended questionnaire was distributed among the experienced insurance officials and 38 challenges have been identified. The relevant challenges formed the basis of a closed-ended questionnaire and the respondents were asked to re-evaluate their accuracy. Then, the approved challenges were the basis of the fuzzy best-worst method for weighing and ranking the related challenges. The results showed that the failure to provide specific consultation to contractors regarding the legal obligations of social security is the most important challenge in the field of contract insurance.
Keywords
- Evaluating and ranking the Insurance industry
- Construction projects
- Contractor insurance
- Fuzzy best- worst method
Main Subjects
- Kramer, B., Hellin, J., Hansen, J., Rose, A., & Braun, M. (2019). Building resilience through climate risk insurance: insights from agricultural research for development. Wageningen, Netherlands: CGSpace. Retrieved from https://hdl.handle.net/10568/106171
- Cheng, M. Y., Peng, H. S., Wu, Y. W., & Liao, Y. H. (2011). Decision making for contractor insurance deductible using the evolutionary support vector machines inference model. Expert systems with applications, 38(6), 6547-6555. https://doi.org/10.1016/j.eswa.2010.11.084
- Fazli, M., & Hajiaghaei, K. M. (2020). Identification and Ranking the risks of green building projects using the hybrid SWARA-COPRAS approach: (case study: amol county). Industrial management studies, 58(18), 139-192.
- Lau, C. H., Mesthrige, J. W., Lam, P. T., & Javed, A. A. (2019). The challenges of adopting new engineering contract: a Hong Kong study. Engineering, construction and architectural management. 26(10), 2389-2409. https://doi.org/10.1108/ECAM-02-2018-0055
- Partoo, H. (2016). Guarantee of non-payment of workers' insurance premiums. Retrieved from http://taminpress.com/%D8%B6%D9%85%D8%A7%D9%86%D8%AA-%D8%A7%D8%AC%D8%B1%D8%A7%D9%87%D8%A7%DB%8C-%D8%B9%D8%AF%D9%85-%D9%BE%D8%B1%D8%AF%D8%A7%D8%AE%D8%AA-%D8%AD%D9%82-%D8%A8%DB%8C%D9%85%D9%87-%DA%A9%D8%A7%D8%B1%DA%AF%D8%B1/
- Salemi, B. (2017, January). Leveling of effective indicators in building earthquake insurance risk management, 24th national conference on insurance and development. (In Persian). https://civilica.com/doc/825856/
- Sarhadi, M., Hasanzadeh, S., & Hoseini, S. H. (2021). Stakeholder analysis in the feasibility process of projects: a structural evaluation of the power-oriented relationship. Project management journal, 52(4). https://doi.org/10.1177/8756972821999499
- Mohammadi, A. (2018, July). Presenting a construction management perspective for assessing and ranking insurable risks in the construction industry using topsis analysis (case study: contract projects (BOO)), 2nd national conference on civil engineering, architecture with emphasis on employment in the construction industry. (In Persian). https://civilica.com/doc/785325/
- XIE, B. C., wang, Y. S., & shang, L. F. (2010). Study of insurance contractor considering adverse selection and moral hazard. Journal of southwest jiaotong university (social sciences), 6. 6-19.
- Cheng, M. Y., Peng, H. S., Wu, Y. W., & Liao, Y. H. (2011). Decision making for contractor insurance deductible using the evolutionary support vector machines inference model. Expert systems with applications, 38(6), 6547-6555. https://doi.org/10.1016/j.eswa.2010.11.084
- Sarpong, S. O. (2017). Studies on exploring the potential innovations in contractor insurance options in the construction industry in ghana(Doctoral Dissertation, KNUST Space Institure, Ghana). Retrieved from http://hdl.handle.net/123456789/10523
- Topkara Özcan, N., & Yücemen, M. S. (2018). Seismic reliability of highway transportation systems. ASCE-ASME journal of risk and uncertainty in engineering systems, part a: civil engineering, 4(3). https://ascelibrary.org/doi/pdf/10.1061/AJRUA6.0000967
- Akinradewo, O., Aghimien, D., Aigbavboa, C., & Onyia, M. (2020). Factors influencing the adoption of insurance as a risk treatment tool by contractors in the construction industry. International journal of construction management, 1-9. https://doi.org/10.1080/15623599.2020.1797986
- Nouri, S. A., Risani, Sh., & Bahmanpour, T. (2014, April). Insurance industry and its relationship with construction and urban planning industry. National conference on civil engineering, architecture and urban management. (In Persian). https://civilica.com/doc/282087/
- Rostami, V., Hashemi, S. M., & Taqvaei Mohammad, R. (2015). Regulation challenges in the commercial insurance industry, Administrative law, 2(7), 57-87. (In Persian). http://qjal.smtc.ac.ir/browse.php?a_id=128&sid=1&slc_lang=fa&ftxt=0
- Asadzadeh Torabi, D., & Baranizadeh, S. (2016, January). Investigating the role and structure of contractors' all-risks insurance in construction projects and identifying the risks involved. Third national conference on civil engineering and sustainable development. Tehran. (In Persian). https://civilica.com/doc/566672/
- Angmor, C. T. (2017). Selection of contractor insurance option in the Ghanaian Construction Industry(Doctoral dissertation, KNUST Space Institure, Ghana). Retrieved from http://hdl.handle.net/123456789/10079
- Palm, R., & Hodgson, M. (1992). Earthquake insurance: mandated disclosure and homeowner response in California. Annals of the association of american geographers, 82(2), 207-222. https://doi.org/10.1111/j.1467-8306.1992.tb01905.x
- Guo, S., & Zhao, H. (2017). Fuzzy best-worst multi-criteria decision-making method and its applications. Knowledge-based systems, 121, 23-31. https://doi.org/10.1016/j.knosys.2017.01.010
- Goli, A., Zare, H. K., Moghaddam, R. T., & Sadeghieh, A. (2019). An improved artificial intelligence based on gray wolf optimization and cultural algorithm to predict demand for dairy products: a case study. IJIMAI, 5(6), 15-22.
- Alinaghian, M., & Goli, A. (2017). Location, allocation and routing of temporary health centers in rural areas in crisis, solved by improved harmony search algorithm. International journal of computational intelligence systems, 10(1), 894-913. https://doi.org/10.2991/ijcis.2017.10.1.60
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