IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-01998114.html
   My bibliography  Save this paper

Improving prediction with POS and PLS consistent estimations: An illustration

Author

Listed:
  • Siham Mourad

    (Groupe ISCAE, , Institut supérieur de commerce et d'administration des entreprises)

  • Pierre Valette-Florence

    (CERAG - Centre d'études et de recherches appliquées à la gestion - UGA [2016-2019] - Université Grenoble Alpes [2016-2019])

Abstract

Recent advances (Dijkstra and Henseler, 2015a, 2015b) have introduced methods that provide consistent PLSc estimates. In parallel, Becker et al. (2013) propose a novel prediction oriented segmentation (POS) approach which by taking into account unobserved heterogeneity increases the predictive power with regard to the dependent variables. Hence, the main objective of this paper is to show how the complementary use of PLSc and POS can increase the overall predictive ability of the PLS approach. A concrete example, carefully following the presentation guidelines provided by Henseler et al. (2016), in a Moroccan context demonstrates the plausibility of such a proposal and concretely shows the existence of three different groups of people with different reactions toward counterfeiting. The stability of this segmentation is verified as well as the causal asymmetry of data. Managerial implications with respect to these three groups are highlighted, thanks also to a complementary importance–performance matrix analysis.

Suggested Citation

  • Siham Mourad & Pierre Valette-Florence, 2016. "Improving prediction with POS and PLS consistent estimations: An illustration," Post-Print hal-01998114, HAL.
    • Handle: RePEc:hal:journl:hal-01998114
    DOI: 10.1016/j.jbusres.2016.03.057
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Sharma, Amalesh & Soni, Mauli & Borah, Sourav Bikash & Haque, Tanjum, 2022. "From silos to synergies: A systematic review of luxury in marketing research," Journal of Business Research, Elsevier, vol. 139(C), pages 893-907.
    2. Bénet, Nathalie & Deville, Aude & Raïes, Karine & Valette-Florence, Pierre, 2022. "Turning non-financial performance measurements into financial performance: The usefulness of front-office staff incentive systems in hotels," Journal of Business Research, Elsevier, vol. 142(C), pages 317-327.
    3. Sami Ben Jabeur & Asma Sghaier, 2018. "The relationship between energy, pollution, economic growth and corruption: A Partial Least Squares Structural Equation Modeling (PLS-SEM) approach," Economics Bulletin, AccessEcon, vol. 38(4), pages 1927-1946.
    4. Salgado, Stéphane & Hemonnet-Goujot, Aurelie & Henard, David H. & de Barnier, Virginie, 2020. "The dynamics of innovation contest experience: An integrated framework from the customer’s perspective," Journal of Business Research, Elsevier, vol. 117(C), pages 29-43.
    5. Kapferer, Jean-Noël & Valette-Florence, Pierre, 2019. "How self-success drives luxury demand: An integrated model of luxury growth and country comparisons," Journal of Business Research, Elsevier, vol. 102(C), pages 273-287.
    6. Becheur, Imene & Guizani, Haithem & Shaaban, Khaled, 2019. "Belief in fate and self-efficacy in road safety advertising based on guilt: An explanation based on negotiable fate," Australasian marketing journal, Elsevier, vol. 27(4), pages 233-241.
    7. Groß, Michael, 2018. "Heterogeneity in consumers’ mobile shopping acceptance: A finite mixture partial least squares modelling approach for exploring and characterising different shopper segments," Journal of Retailing and Consumer Services, Elsevier, vol. 40(C), pages 8-18.

    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:hal:journl:hal-01998114. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.