IDEAS home Printed from https://ideas.repec.org/p/arz/wpaper/eres2003_270.html
   My bibliography  Save this paper

Corporate real estate performance: A data-driven analysis

Author

Listed:
  • Linda Tay
  • Liow Kim-Hiang
  • Ooi Joseph

Abstract

This study utilizes data collected from MNCs and listed firms in Singapore to identify critical factors influencing corporate real estate performance. A data-driven analytical technique is adopted to study the direct and indirect effects of performance factors on corporate real estate. A further benefit of using this technique is that it allows a representation of additional interrelationships between the factors. From the current literature, there are four main categories of factors that affect corporate real estate performance. These are corporate, environment, portfolio and management related factors. The results indicate that only corporate real estate planning and the existence of a real estate unit have a direct impact on corporate real estate performance. This finding is both theoretically expected and important. The results reinforces current literature postulations on the importance of strategic planning as on of the key skills that corporate real estate managers need to be equipped with to meet the challenges ahead.

Suggested Citation

  • Linda Tay & Liow Kim-Hiang & Ooi Joseph, 2003. "Corporate real estate performance: A data-driven analysis," ERES eres2003_270, European Real Estate Society (ERES).
    • Handle: RePEc:arz:wpaper:eres2003_270
    as

    Download full text from publisher

    File URL: https://eres.architexturez.net/doc/oai-eres-id-eres2003-270
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

    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:arz:wpaper:eres2003_270. 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: Architexturez Imprints (email available below). General contact details of provider: https://edirc.repec.org/data/eressea.html .

    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.