IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i21p7244-d671006.html
   My bibliography  Save this article

Identification of Health and Safety Prequalification Criteria for Contractor Selection in Construction Projects: A Systematic Review

Author

Listed:
  • Nadeera Abdul Razak

    (Department of Mechanical, Aerospace & Civil Engineering, University of Manchester, Oxford Rd, Manchester M13 9PL, UK)

  • Obuks Ejohwomu

    (Department of Mechanical, Aerospace & Civil Engineering, University of Manchester, Oxford Rd, Manchester M13 9PL, UK)

  • Peter Fenn

    (Department of Mechanical, Aerospace & Civil Engineering, University of Manchester, Oxford Rd, Manchester M13 9PL, UK)

  • Kamil Okedara

    (Department of Mechanical, Aerospace & Civil Engineering, University of Manchester, Oxford Rd, Manchester M13 9PL, UK)

  • Babatunde Dosumu

    (Department of Mechanical, Aerospace & Civil Engineering, University of Manchester, Oxford Rd, Manchester M13 9PL, UK)

  • Firdaus Muhammad-Sukki

    (Merchiston Campus, School of Engineering & the Built Environment, Edinburgh Napier University, 10 Colinton Road, Edinburgh EH10 5DT, UK)

Abstract

Selecting an appropriate contractor is a crucial phase that clients normally conduct to execute projects. Extensive research has been conducted on the main contractor selection criteria such as financial stability and technical and management capability. However, few studies focusing on health and safety criteria are being used to assess contractors’ safety performance in the existing selection process. Hence, this paper aims to analyse the existing literature on health and safety criteria for contractor selection in construction. The articles were retrieved using developed search string from renowned databases such as Scopus, Ebscohost, Web of Science, Science Direct and Dimensions. This search resulted in a total of 38 papers which can be systematically reviewed. Six main themes were discovered to represent safety prequalification criteria for construction projects, namely, experience and work history, safety control system, safety policy and management, accident rates and records, safety promotion and environmental concerns. Under these six main themes, there are 25 safety prequalification criteria that have been substantially published in previous literature, and the most-cited criteria are examined. This study brings a significant contribution to construction industry professionals, especially clients, when selecting a capable contractor in construction projects. By identifying the safety prequalification criteria, clients can assess a contractor’s efforts in ensuring safe execution of a project before awarding the contract to them. Additionally, the findings of the present study could contribute towards developing a comprehensive framework on contractor selection criteria that incorporates safety leading and lagging indicators.

Suggested Citation

  • Nadeera Abdul Razak & Obuks Ejohwomu & Peter Fenn & Kamil Okedara & Babatunde Dosumu & Firdaus Muhammad-Sukki, 2021. "Identification of Health and Safety Prequalification Criteria for Contractor Selection in Construction Projects: A Systematic Review," Energies, MDPI, vol. 14(21), pages 1-17, November.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:7244-:d:671006
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/21/7244/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/21/7244/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Patrick Sik-Wah Fong & Sonia Kit-Yung Choi, 2000. "Final contractor selection using the analytical hierarchy process," Construction Management and Economics, Taylor & Francis Journals, vol. 18(5), pages 547-557.
    2. Wong, M.R. & McKelvey, W. & Ito, K. & Schiff, C. & Jacobson, J.B. & Kass, D., 2015. "Impact of a letter-grade program on restaurant sanitary conditions and diner behavior in New York City," American Journal of Public Health, American Public Health Association, vol. 105(3), pages 81-87.
    3. Cheaitou, Ali & Larbi, Rim & Al Housani, Bashayer, 2019. "Decision making framework for tender evaluation and contractor selection in public organizations with risk considerations," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    4. Zedan Hatush & Martin Skitmore, 1997. "Criteria for contractor selection," Construction Management and Economics, Taylor & Francis Journals, vol. 15(1), pages 19-38.
    5. Jakrapong Pongpeng & John Liston, 2003. "TenSeM: a multicriteria and multidecision-makers' model in tender evaluation," Construction Management and Economics, Taylor & Francis Journals, vol. 21(1), pages 21-30.
    6. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. J P Pastor-Ferrando & P Aragonés-Beltrán & A Hospitaler-Pérez & M García-Melón, 2010. "An ANP- and AHP-based approach for weighting criteria in public works bidding," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(6), pages 905-916, June.
    2. Amirhosein Jafari, 2013. "A contractor pre-qualification model based on the quality function deployment method," Construction Management and Economics, Taylor & Francis Journals, vol. 31(7), pages 746-760, July.
    3. Yi Zhang, 2020. "Construction of Bid Evaluation Index System in Government Public Project Green Procurement in China Based on D-S Evidence Theory," Sustainability, MDPI, vol. 12(2), pages 1-15, January.
    4. Bana e Costa, Carlos A. & Lourenço, João C. & Chagas, Manuel P. & Bana e Costa, João C., 2007. "Development of reusable bid evaluation models for the Portugese Electric Transmission Company," LSE Research Online Documents on Economics 22697, London School of Economics and Political Science, LSE Library.
    5. Aziz Naghizadeh Vardin & Ramin Ansari & Mohammad Khalilzadeh & Jurgita Antucheviciene & Romualdas Bausys, 2021. "An Integrated Decision Support Model Based on BWM and Fuzzy-VIKOR Techniques for Contractor Selection in Construction Projects," Sustainability, MDPI, vol. 13(12), pages 1-28, June.
    6. Carlos A. Bana e Costa & João C. Lourenço & Manuel P. Chagas & João C. Bana e Costa, 2008. "Development of Reusable Bid Evaluation Models for the Portuguese Electric Transmission Company," Decision Analysis, INFORMS, vol. 5(1), pages 22-42, March.
    7. Khoso, Ali Raza & Yusof, Aminah Md & Chen, Zhen-Song & Skibniewski, Mirosław J. & Chin, Kwai-Sang & Khahro, Shabir Hussain & Sohu, Samiullah, 2022. "Comprehensive analysis of state-of-the-art contractor selection models in construction environment-A critical review and future call," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    8. Murali Jagannathan & Venkata Santosh Kumar Delhi, 2020. "Perceptions of Stakeholders on the ‘Redraftability’ of Construction Contracts," IIM Kozhikode Society & Management Review, , vol. 9(2), pages 152-161, July.
    9. İlkay Unay-Gailhard & Mark A. Brennen, 2022. "How digital communications contribute to shaping the career paths of youth: a review study focused on farming as a career option," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 39(4), pages 1491-1508, December.
    10. Mahin Ghafari & Vali Baigi & Zahra Cheraghi & Amin Doosti-Irani, 2016. "The Prevalence of Asymptomatic Bacteriuria in Iranian Pregnant Women: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-10, June.
    11. Santos Urbina & Sofía Villatoro & Jesús Salinas, 2021. "Self-Regulated Learning and Technology-Enhanced Learning Environments in Higher Education: A Scoping Review," Sustainability, MDPI, vol. 13(13), pages 1-12, June.
    12. Nadine Desrochers & Adèle Paul‐Hus & Jen Pecoskie, 2017. "Five decades of gratitude: A meta‐synthesis of acknowledgments research," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(12), pages 2821-2833, December.
    13. Alene Sze Jing Yong & Yi Heng Lim & Mark Wing Loong Cheong & Ednin Hamzah & Siew Li Teoh, 2022. "Willingness-to-pay for cancer treatment and outcome: a systematic review," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(6), pages 1037-1057, August.
    14. Agnieszka A. Tubis & Katarzyna Grzybowska, 2022. "In Search of Industry 4.0 and Logistics 4.0 in Small-Medium Enterprises—A State of the Art Review," Energies, MDPI, vol. 15(22), pages 1-26, November.
    15. García-Poole, Chloe & Byrne, Sonia & Rodrigo, María José, 2019. "How do communities intervene with adolescents at psychosocial risk? A systematic review of positive development programs," Children and Youth Services Review, Elsevier, vol. 99(C), pages 194-209.
    16. Qing Ye & Bao-Xin Qian & Wei-Li Yin & Feng-Mei Wang & Tao Han, 2016. "Association between the HFE C282Y, H63D Polymorphisms and the Risks of Non-Alcoholic Fatty Liver Disease, Liver Cirrhosis and Hepatocellular Carcinoma: An Updated Systematic Review and Meta-Analysis o," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-17, September.
    17. Bishal Mohindru & David Turner & Tracey Sach & Diana Bilton & Siobhan Carr & Olga Archangelidi & Arjun Bhadhuri & Jennifer A. Whitty, 2020. "Health State Utility Data in Cystic Fibrosis: A Systematic Review," PharmacoEconomics - Open, Springer, vol. 4(1), pages 13-25, March.
    18. Neal R. Haddaway & Matthew J. Page & Chris C. Pritchard & Luke A. McGuinness, 2022. "PRISMA2020: An R package and Shiny app for producing PRISMA 2020‐compliant flow diagrams, with interactivity for optimised digital transparency and Open Synthesis," Campbell Systematic Reviews, John Wiley & Sons, vol. 18(2), June.
    19. Ding Zhu & Mindan Wu & Yuan Cao & Shihua Lin & Nanxia Xuan & Chen Zhu & Wen Li & Huahao Shen, 2018. "Heated humidification did not improve compliance of positive airway pressure and subjective daytime sleepiness in obstructive sleep apnea syndrome: A meta-analysis," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-16, December.
    20. Pelai, Ricardo & Hagerman, Shannon M. & Kozak, Robert, 2020. "Biotechnologies in agriculture and forestry: Governance insights from a comparative systematic review of barriers and recommendations," Forest Policy and Economics, Elsevier, vol. 117(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:7244-:d:671006. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.