IDEAS home Printed from https://ideas.repec.org/a/taf/conmgt/v42y2024i7p640-655.html
   My bibliography  Save this article

Influence of organization environment on contractor’s inter-regional market entry practice in China: an industry-level approach based on Bayesian logistic regression model

Author

Listed:
  • Chen Xia
  • Guangbin Wang
  • Dongping Cao
  • Yuqing Hu

Abstract

Inter-regional market entry poses a complex challenge for contractors, particularly in the construction industry with its unique characteristics. Existing research predominantly focuses on an international scale and target markets, often overlooking the influence of the organizational environment, especially the home market. This study aims to fill this gap by analyzing how the construction organizational environment affects contractors’ inter-regional market practices. Grounded in theories of organizational management, we developed a theoretical model with seven hypotheses examining the impact of organizational environment. We tested hypotheses with Bayesian logistic regression model based on data from 426 construction organizations in China. Our findings reveal that a contractor’s size significantly impacts the practice compared to other attributes like ownership and experience. Additionally, a thriving local economy strongly supports contractors in exploring other geographical markets. Interestingly, while local competition intensity and protectionism create barriers for external firms, they do not significantly affect the diversification activities of local contractors. These insights contribute to understanding the dynamics of inter-regional market entry in the construction industry and can guide practitioners in strategizing for sustainable growth. Future research could explore more detailed strategies such as market selection and entry mode, enhancing the depth of understanding in this area.

Suggested Citation

  • Chen Xia & Guangbin Wang & Dongping Cao & Yuqing Hu, 2024. "Influence of organization environment on contractor’s inter-regional market entry practice in China: an industry-level approach based on Bayesian logistic regression model," Construction Management and Economics, Taylor & Francis Journals, vol. 42(7), pages 640-655, July.
  • Handle: RePEc:taf:conmgt:v:42:y:2024:i:7:p:640-655
    DOI: 10.1080/01446193.2024.2309890
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01446193.2024.2309890
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/01446193.2024.2309890?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 search for a different version of it.

    More about this item

    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:taf:conmgt:v:42:y:2024:i:7:p:640-655. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RCME20 .

    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.