Identifying and ranking contractor insurance challenges in construction projects using hybrid delphi and fuzzy best-worst method
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 th...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ayandegan Institute of Higher Education, Iran
2021-11-01
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| Series: | Journal of Applied Research on Industrial Engineering |
| Subjects: | |
| Online Access: | http://www.journal-aprie.com/article_136397_41b90bc5f32ead7b5e3c1d52595fb7e5.pdf |
| _version_ | 1811339412366163968 |
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| author | Hamid Ghasemi Mahyar Javid Ruzi Mohammad Taghi Nazarpur |
| author_facet | Hamid Ghasemi Mahyar Javid Ruzi Mohammad Taghi Nazarpur |
| author_sort | Hamid Ghasemi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T18:26:15Z |
| format | Article |
| id | doaj.art-08dc444e6dce4fcb858e272ae3602d8b |
| institution | Directory Open Access Journal |
| issn | 2538-5100 2676-6167 |
| language | English |
| last_indexed | 2024-04-13T18:26:15Z |
| publishDate | 2021-11-01 |
| publisher | Ayandegan Institute of Higher Education, Iran |
| record_format | Article |
| series | Journal of Applied Research on Industrial Engineering |
| spelling | doaj.art-08dc444e6dce4fcb858e272ae3602d8b2022-12-22T02:35:14ZengAyandegan Institute of Higher Education, IranJournal of Applied Research on Industrial Engineering2538-51002676-61672021-11-018Special Issue11610.22105/jarie.2021.277352.1276136397Identifying and ranking contractor insurance challenges in construction projects using hybrid delphi and fuzzy best-worst methodHamid Ghasemi0Mahyar Javid Ruzi1Mohammad Taghi Nazarpur2Faculty of Architecture and Urban Planning, Shahid Beheshti University, Tehran, Iran.Faculty of Architecture and Urban Planning, Shahid Beheshti University, Tehran, Iran.Faculty of Architecture and Urban Planning, Shahid Beheshti University, Tehran, Iran.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.http://www.journal-aprie.com/article_136397_41b90bc5f32ead7b5e3c1d52595fb7e5.pdfevaluating and ranking the insurance industryconstruction projectscontractor insurancefuzzy best- worst method |
| spellingShingle | Hamid Ghasemi Mahyar Javid Ruzi Mohammad Taghi Nazarpur Identifying and ranking contractor insurance challenges in construction projects using hybrid delphi and fuzzy best-worst method Journal of Applied Research on Industrial Engineering evaluating and ranking the insurance industry construction projects contractor insurance fuzzy best- worst method |
| title | Identifying and ranking contractor insurance challenges in construction projects using hybrid delphi and fuzzy best-worst method |
| title_full | Identifying and ranking contractor insurance challenges in construction projects using hybrid delphi and fuzzy best-worst method |
| title_fullStr | Identifying and ranking contractor insurance challenges in construction projects using hybrid delphi and fuzzy best-worst method |
| title_full_unstemmed | Identifying and ranking contractor insurance challenges in construction projects using hybrid delphi and fuzzy best-worst method |
| title_short | Identifying and ranking contractor insurance challenges in construction projects using hybrid delphi and fuzzy best-worst method |
| title_sort | identifying and ranking contractor insurance challenges in construction projects using hybrid delphi and fuzzy best worst method |
| topic | evaluating and ranking the insurance industry construction projects contractor insurance fuzzy best- worst method |
| url | http://www.journal-aprie.com/article_136397_41b90bc5f32ead7b5e3c1d52595fb7e5.pdf |
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