IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i10p2250-d175641.html
   My bibliography  Save this article

The Risk-Taking Propensity of Construction Workers—An Application of Quasi-Expert Interview

Author

Listed:
  • Banus Kam Leung Low

    (Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, China)

  • Siu Shing Man

    (Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, China)

  • Alan Hoi Shou Chan

    (Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, China)

Abstract

High accident rates have been a complicated and persistent problem in the Hong Kong construction industry. This situation has stimulated this investigation into factors that influence the risk-taking propensity of construction workers. However, interviewing workers who had a bad experience is problematic because changes in attitude and perception may occur as a result of such an experience. Using quasi-expert interviews can reduce this problem. The objective of this study was to identify factors that influence the risk-taking propensity of construction workers. Semi-structured interviews were conducted with 16 safety professionals all with accident inspection experience and six super-safe workers with no incident record for the past five years. Seven factors that affect the risk-taking propensity of construction workers were successfully identified. Each factor is thoughtfully discussed, and this study shows that quasi-expert interview is a pragmatic approach for deepening the understanding of risk-taking propensity among construction workers. Findings of this study will hopefully help and encourage further quantitative research on the risk-taking propensity of construction workers with different perspectives.

Suggested Citation

  • Banus Kam Leung Low & Siu Shing Man & Alan Hoi Shou Chan, 2018. "The Risk-Taking Propensity of Construction Workers—An Application of Quasi-Expert Interview," IJERPH, MDPI, vol. 15(10), pages 1-11, October.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:10:p:2250-:d:175641
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/10/2250/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/15/10/2250/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lu Peng & Alan H.S. Chan, 2019. "Exerting Explanatory Accounts of Safety Behavior of Older Construction Workers within the Theory of Planned Behavior," IJERPH, MDPI, vol. 16(18), pages 1-19, September.
    2. Greta Mazzetti & Emanuela Valente & Dina Guglielmi & Michela Vignoli, 2020. "Safety Doesn’t Happen by Accident: A Longitudinal Investigation on the Antecedents of Safety Behavior," IJERPH, MDPI, vol. 17(12), pages 1-13, June.
    3. Haleh Sadeghi & Saeed Reza Mohandes & M. Reza Hosseini & Saeed Banihashemi & Amir Mahdiyar & Arham Abdullah, 2020. "Developing an Ensemble Predictive Safety Risk Assessment Model: Case of Malaysian Construction Projects," IJERPH, MDPI, vol. 17(22), pages 1-25, November.
    4. Qingwei Xu & Kaili Xu, 2020. "Statistical Analysis and Prediction of Fatal Accidents in the Metallurgical Industry in China," IJERPH, MDPI, vol. 17(11), pages 1-20, May.
    5. Kapo Wong & Alan Hoi Shou Chan, 2018. "Emerging Issues in Occupational Safety and Health," IJERPH, MDPI, vol. 15(12), pages 1-4, December.
    6. Siu Shing Man & Ruifeng Yu & Tingru Zhang & Alan Hoi Shou Chan, 2022. "How Optimism Bias and Safety Climate Influence the Risk-Taking Behavior of Construction Workers," IJERPH, MDPI, vol. 19(3), pages 1-14, January.
    7. Banus Kam Leung Low & Siu Shing Man & Alan Hoi Shou Chan & Saad Alabdulkarim, 2019. "Construction Worker Risk-Taking Behavior Model with Individual and Organizational Factors," IJERPH, MDPI, vol. 16(8), pages 1-13, April.

    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:jijerp:v:15:y:2018:i:10:p:2250-:d:175641. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.