IDEAS home Printed from https://ideas.repec.org/h/wsi/wschap/9789814696357_0003.html
   My bibliography  Save this book chapter

Partial Least Squares Path Modelling In Marketing And Management Research: An Annotated Application

In: Quantitative Modelling in Marketing and Management

Author

Listed:
  • Joaquín Aldás-Manzano

Abstract

Since Jöreskog (1967) provided an algorithm for maximum likelihood estimation of latent variables structural models, covariance-based approaches (CBSEM) are tautologically synonymous of structural equation modelling. However, when Diamantopoulos and Winklhofer (2001) alerted that formative configuration should be considered as a reasonable alternative to model certain constructs, academic realised that CBSEM had many limitations to deal with this kind of constructs. Partial least squares path modelling (PLSPM) has recently arises as an alternative to CBSEM as its algorithm easily manages formative constructs. Proposed as a soft modelling alternative to CBSEM by Jöreskog's thesis advisor Herman Wold, PLSPM has addtional properties that explained its growing use in marketing and management research: Few distribution assumptions and can be estimated with small sample sizes. The objective of this chapter is, on the basis of a practical example, to illustrate and provide guidelines regarding the use of PLSPM as a structural equation modelling (SEM) tool, revealing its strengths and weaknesses, in order to allow researchers to decide on the adequacy of this approach for their particular investigation.

Suggested Citation

  • Joaquín Aldás-Manzano, 2015. "Partial Least Squares Path Modelling In Marketing And Management Research: An Annotated Application," World Scientific Book Chapters, in: Luiz Moutinho & Kun-Huang Huarng (ed.), Quantitative Modelling in Marketing and Management, chapter 3, pages 43-78, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789814696357_0003
    as

    Download full text from publisher

    File URL: https://www.worldscientific.com/doi/pdf/10.1142/9789814696357_0003
    Download Restriction: Ebook Access is available upon purchase.
    File URL: https://www.worldscientific.com/doi/abs/10.1142/9789814696357_0003
    Download Restriction: Ebook Access is available upon purchase.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:wsi:wschap:9789814696357_0003. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscientific.com/page/worldscibooks .

    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.