IDEAS home Printed from https://ideas.repec.org/a/oup/jconrs/doi10.1086-659379.html
   My bibliography  Save this article

Predicting Consumption Time: The Role of Event Valence and Unpacking

Author

Listed:
  • Claire I. Tsai
  • Min Zhao

Abstract

How much time do consumers predict they will spend on using a product or service when they have control over the usage time? We propose that their predicted consumption time is systematically influenced by the valence and the representation of the target event. In three studies, we show that consumers predict spending more time on a pleasant event when it is unpacked into several subactivities and spending less time on an unpleasant event when it is unpacked. We also investigate the underlying mechanism and demonstrate that (1) people have a lay belief that they spend more (less) time on more (less) pleasant events and (2) unpacking increases the intensity of predicted consumption experience. We further show that these changes in time predictions influence consumption decisions and address alternative explanations, including mood, mood regulation, and attention. In closing, we discuss theoretical and managerial implications.

Suggested Citation

  • Claire I. Tsai & Min Zhao, 2011. "Predicting Consumption Time: The Role of Event Valence and Unpacking," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 38(3), pages 459-473.
  • Handle: RePEc:oup:jconrs:doi:10.1086/659379
    DOI: 10.1086/659379
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1086/659379
    Download Restriction: no

    File URL: http://dx.doi.org/10.1086/659379
    Download Restriction: no

    File URL: https://libkey.io/10.1086/659379?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. Zhao, Min & Xia, Lan, 2021. "Joint or separate? The effect of visual presentation on imagery and product evaluation," International Journal of Research in Marketing, Elsevier, vol. 38(4), pages 935-952.
    2. Miaolei (Liam) Jia & Xiuping Li & Aradhna Krishna & Lisa E Bolton & Darren W Dahl & Margaret C Campbell, 2020. "Contraction with Unpacking: When Unpacking Leads to Lower Calorie Budgets [See What You Want to See: Motivational Influences on Visual Perception]," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 46(5), pages 853-870.
    3. Xia, Lan & Bechwati, Nada Nasr, 2021. "Maximizing what? The effect of maximizing mindset on the evaluation of product bundles," Journal of Business Research, Elsevier, vol. 128(C), pages 314-325.

    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:doi:10.1086/659379. 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.