IDEAS home Printed from https://ideas.repec.org/a/jre/issued/v5n31990p285-300.html
   My bibliography  Save this article

A Multi-Criteria Model for Corporate Property Evaluation

Author

Abstract

A critical concern for corporations pursuing geographical expansion strategies involves property evaluation. In order for expansion to be successful, corporations must identify cities and properties that offer a good fit with the firm's corporate strategy. Unfortunately, little has been written to aid corporations in making complex property selection decisions. This paper presents a model that combines the concepts of strategic management, the management science technique of goal programming, and micro computer technology to provide managers with a more effective and efficient method for evaluation property and making selection decisions.

Suggested Citation

  • James J. Hoffman & Marc J. Schniederjans & G. Stacy Sirmans, 1990. "A Multi-Criteria Model for Corporate Property Evaluation," Journal of Real Estate Research, American Real Estate Society, vol. 5(3), pages 285-300.
    • Handle: RePEc:jre:issued:v:5:n:3:1990:p:285-300
    as

    Download full text from publisher

    File URL: http://pages.jh.edu/jrer/papers/pdf/past/vol05n03/v05p285.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Chris Manning & Stephen E. Roulac, 2001. "Lessons from the Past and Future Directions for Corporate Real Estate Research," Journal of Real Estate Research, American Real Estate Society, vol. 22(1/2), pages 7-58.
    2. Patrick Krieger & Carsten Lausberg, 2021. "Entscheidungen, Entscheidungsfindung und Entscheidungsunterstützung in der Immobilienwirtschaft: Eine systematische Literaturübersicht [Decisions, decision-making and decisions support systems in r," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 7(1), pages 1-33, April.
    3. Linda Ellis Johnson & Arnold L. Redman & John R. Tanner, 1997. "Utilization and Application of Business Computing Systems in Corporate Real Estate," Journal of Real Estate Research, American Real Estate Society, vol. 13(2), pages 211-230.
    4. Linda L. Johnson & Terry Keasler & Stellan Lundstrom, 1993. "An Industry Profile of Corporate Real Estate," Journal of Real Estate Research, American Real Estate Society, vol. 8(4), pages 445-474.

    More about this item

    JEL classification:

    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

    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:jre:issued:v:5:n:3:1990:p:285-300. 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: JRER Graduate Assistant/Webmaster (email available below). General contact details of provider: http://www.aresnet.org/ .

    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.