IDEAS home Printed from https://ideas.repec.org/a/bla/stratm/v26y2005i9p881-886.html
   My bibliography  Save this article

Response to McGahan and Porter's commentary on ‘Industry, corporate and business‐segment effects and business performance: a non‐parametric approach’

Author

Listed:
  • Timothy W. Ruefli
  • Robert R. Wiggins

Abstract

In the comment on Ruefli and Wiggins (2003), a number of points are made supporting the variance component analysis approach to determining the importance of industry, corporate, and business segment factors on business segment performance. This response addresses in more detail the nature of the methodological and statistical assumptions made by variance components analysis or ANOVA and their implications for the ‘puzzling’ results obtained when these techniques are employed. The response then contrasts the variance‐based methodologies with a non‐parametric approach used in Ruefli and Wiggins (2003) that makes fewer and weaker assumptions and yields more robust and more internally consistent results. The response also examines the limitations of employing an autoregressive approach to measuring persistence of abnormal profits and contrasts it with a non‐parametric methodology presented in the article. Copyright © 2005 John Wiley & Sons, Ltd.

Suggested Citation

  • Timothy W. Ruefli & Robert R. Wiggins, 2005. "Response to McGahan and Porter's commentary on ‘Industry, corporate and business‐segment effects and business performance: a non‐parametric approach’," Strategic Management Journal, Wiley Blackwell, vol. 26(9), pages 881-886, September.
    • Handle: RePEc:bla:stratm:v:26:y:2005:i:9:p:881-886
    DOI: 10.1002/smj.479
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/smj.479
    Download Restriction: no
    File URL: https://libkey.io/10.1002/smj.479?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
    ---><---

    Citations

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


    Cited by:

    1. Kathryn Rudie Harrigan & Yunzhe Fang, 2020. "The financial benefits of persistently high forward citations," The Journal of Technology Transfer, Springer, vol. 45(2), pages 619-647, April.
    2. Bart S. Vanneste, 2017. "How Much Do Industry, Corporation, and Business Matter, Really? A Meta-Analysis," Strategy Science, INFORMS, vol. 2(2), pages 121-139, June.

    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:bla:stratm:v:26:y:2005:i:9:p:881-886. 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: Wiley Content Delivery (email available below). General contact details of provider: http://onlinelibrary.wiley.com/journal/10.1111/0143-2095 .

    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.