IDEAS home Printed from https://ideas.repec.org/a/spr/jknowl/v16y2025i3d10.1007_s13132-024-02464-0.html
   My bibliography  Save this article

Identifying the Most Effective Delaying Factors Using FCEM-AHP: A Case Study of Pakistan’s Construction Industry

Author

Listed:
  • Safi Ullah

    (Southeast University, Jiulonghu Campus
    Department of Construction Management, Global Banking School (Bath Spa University))

  • Muhammad Siddiq

    (Southeast University, Jiulonghu Campus)

  • Deng Xiaopeng

    (Southeast University, Jiulonghu Campus
    Southeast University)

  • Sun Jun

    (Huazhong University of Science and Technology)

  • Diana R. Anbar

    (Southeast University, Jiulonghu Campus)

  • Chiemela Victor Amaechi

    (Department of Construction Management, Global Banking School (Bath Spa University)
    Lancaster University, Bailring
    Institute of Sustainable Energy, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN)

  • Muhammad Waqas Ashraf

    (Southeast University, Jiulonghu Campus)

Abstract

This article seeks to identify the most recurrent and significant delay factors during all phases of construction in Pakistan and to evaluate the top effective delay factors in a case study project. Two research approaches were employed to gain the objective of the study. A questionnaire was designed comprised of 42 delaying factors that were grouped into six categories based on their relativity to the consultant, contractor, client, project manager, financial, and external group. Relative Importance Index (RII) was used to rank the delaying factors. A hybrid of fuzzy comprehensive evaluation method-analytical hierarchy process (FCEM-AHP) was utilized to evaluate the significance of top-ranked delaying factors in the case study project. The findings of the study show that factors from consultants, clients, and external groups such as improper project feasibility study, poor design, unreasonable constraints to clients, financial difficulties, political benefits, and political involvement were considered the most significant delaying factors in the construction industry of Pakistan. This is the first study wherein identified delay factors are further evaluated in a case study project to validate the findings of the study. The study also provides conceivable recommendations to both local and foreign construction firms engaged in Pakistan that could be attained to reduce the impact of delays in construction projects.

Suggested Citation

  • Safi Ullah & Muhammad Siddiq & Deng Xiaopeng & Sun Jun & Diana R. Anbar & Chiemela Victor Amaechi & Muhammad Waqas Ashraf, 2025. "Identifying the Most Effective Delaying Factors Using FCEM-AHP: A Case Study of Pakistan’s Construction Industry," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(3), pages 13589-13623, September.
  • Handle: RePEc:spr:jknowl:v:16:y:2025:i:3:d:10.1007_s13132-024-02464-0
    DOI: 10.1007/s13132-024-02464-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13132-024-02464-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s13132-024-02464-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:spr:jknowl:v:16:y:2025:i:3:d:10.1007_s13132-024-02464-0. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.