IDEAS home Printed from https://ideas.repec.org/a/oup/jconrs/v29y2002i3p371-82.html
   My bibliography  Save this article

The Influence of Level of Processing on Advertising Repetition Effects

Author

Listed:
  • Nordhielm, Christie L

Abstract

This research examines whether or not repetition of features of a stimulus are subject to wear-out effects that have until now only been tested for the stimulus as a whole. When consumers process features in either a shallower or deeper manner, the level of processing performed dictates the effect of repeated feature exposure on their judgments. When repeated exposures to features are processed in a shallower fashion, there is an enhancement in evaluations with no subsequent downturn, whereas repeated exposure to features that are processed more deeply results in evaluations that exhibit the classic inverted U-shaped pattern. Copyright 2002 by the University of Chicago.

Suggested Citation

  • Nordhielm, Christie L, 2002. "The Influence of Level of Processing on Advertising Repetition Effects," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 29(3), pages 371-382, December.
  • Handle: RePEc:oup:jconrs:v:29:y:2002:i:3:p:371-82
    DOI: 10.1086/344428
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1086/344428
    Download Restriction: no

    File URL: https://libkey.io/10.1086/344428?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. Funk, Daniel C. & Pritchard, Mark P., 2006. "Sport publicity: Commitment's moderation of message effects," Journal of Business Research, Elsevier, vol. 59(5), pages 613-621, May.
    2. Kronrod, Ann & Huber, Joel, 2019. "Ad wearout wearout: How time can reverse the negative effect of frequent advertising repetition on brand preference," International Journal of Research in Marketing, Elsevier, vol. 36(2), pages 306-324.
    3. Cho, Hyejeung & Schwarz, Norbert, 2012. "I Like Your Product When I Like My Photo: Misattribution Using Interactive Virtual Mirrors," Journal of Interactive Marketing, Elsevier, vol. 26(4), pages 235-243.
    4. repec:cup:judgdm:v:10:y:2015:i:3:p:219-224 is not listed on IDEAS
    5. Dens, Nathalie & De Pelsmacker, Patrick & Verhellen, Yann, 2018. "Better together? Harnessing the power of brand placement through program sponsorship messages," Journal of Business Research, Elsevier, vol. 83(C), pages 151-159.
    6. Carter Morgan & Tatiana M. Fajardo & Claudia Townsend, 2021. "Show it or say it: how brand familiarity influences the effectiveness of image-based versus text-based logos," Journal of the Academy of Marketing Science, Springer, vol. 49(3), pages 566-583, May.
    7. Fernanda Muniz & Francisco Guzmán, 2021. "Overcoming the conflicting values of luxury branding and CSR by leveraging celebrity endorsements to build brand equity," Journal of Brand Management, Palgrave Macmillan, vol. 28(3), pages 347-358, May.
    8. Yann Verhellen & Caroline Oates & Patrick Pelsmacker & Nathalie Dens, 2014. "Children’s Responses to Traditional Versus Hybrid Advertising Formats: The Moderating Role of Persuasion Knowledge," Journal of Consumer Policy, Springer, vol. 37(2), pages 235-255, June.
    9. Xi Lu & Xiaofei Xie & Lu Liu, 2015. "Inverted U-shaped model: How frequent repetition affects perceived risk," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 10(3), pages 219-224, May.
    10. Jiemiao Chen & Xiaojing Yang & Robert E. Smith, 2016. "The effects of creativity on advertising wear-in and wear-out," Journal of the Academy of Marketing Science, Springer, vol. 44(3), pages 334-349, May.
    11. Sania Usmani & Kalpina Dawani, 2013. "Teaching Methods and their impact on performance of University students," South Asian Journal of Management Sciences (SAJMS), Iqra University, Iqra University, vol. 7(1), pages 19-30, Spring.
    12. Jingjun (David) Xu & Izak Benbasat & Ronald T. Cenfetelli, 2014. "Research Note ---The Influences of Online Service Technologies and Task Complexity on Efficiency and Personalization," Information Systems Research, INFORMS, vol. 25(2), pages 420-436, 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:oup:jconrs:v:29:y:2002:i:3:p:371-82. 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: the person in charge (email available below). General contact details of provider: https://academic.oup.com/jcr .

    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.