IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-15-8892-1_48.html
   My bibliography  Save this book chapter

Hot Spot Analysis of Subcontract Management Based on Co-word Analysis

In: Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Saisai Zhang

    (Tianjin University of Technology)

  • Shaoyan Wu

    (Tianjin University of Technology)

Abstract

In recent years, subcontract management has attracted more and more scholars’ attention because of its important role in project success and the growth of general contractors, and has become a research hot spot in building sector. In order to comprehensively show the status quo of subcontract management research and look forward to future research trends, the article retrieves 345 foreign literatures and 397 Chinese literatures collected by SCI and CNKI database from 2000 to 2018 for co-word analysis, systematically analyzing of the trends and characteristics of domestic and foreign subcontract management research. Through multivariate statistics and social network analysis, the overall research structure of project subcontract management is visualized, and the cited literatures with high frequency are interpreted and the existing achievements are analyzed in depth. The results show that the subcontract management research shows the characteristics of scattered research field and small research scale. The construction schedule control, risk management, construction supply chain management and partnership have become the important research topics at home and abroad. Compared with the English literature, the Chinese literature is slightly lagging behind and needs to be further refined, deepened and systematized. This paper presents the overall research status of subcontract management at home and abroad, which can provide reference for the future research.

Suggested Citation

  • Saisai Zhang & Shaoyan Wu, 2021. "Hot Spot Analysis of Subcontract Management Based on Co-word Analysis," Springer Books, in: Gui Ye & Hongping Yuan & Jian Zuo (ed.), Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate, pages 667-686, Springer.
  • Handle: RePEc:spr:sprchp:978-981-15-8892-1_48
    DOI: 10.1007/978-981-15-8892-1_48
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:sprchp:978-981-15-8892-1_48. 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.