IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

Stimuli–organism-response framework: A meta-analytic review in the store environment

Listed author(s):
  • Vieira, Valter Afonso
Registered author(s):

    The authors conduct a meta-analysis that aggregates empirical findings from the stimuli–organism–response (S–O–R) framework. In the retail field, research relies on the S–O–R paradigm to explain and present evidence pertaining to numerous environmental cues and their related effects on consumers' responses. However, the literature review provides positive, negative, and even null results in the S–O–R model, producing doubts about its generalization capacity in the retail field. The study provides a quantitative summary of the bivariate findings regarding the antecedents and the consequences of organism trait (i.e., emotions). The study here corroborates the generalizability of the results into S–O and O–R stages. The authors also confirm the emotions' dependency in the organism factor. The results show that the relationship between arousal and pleasure was significant and positive. Both emotions are responsible for much variation on hedonic and utilitarian motivation for shopping. Arousal-hedonic and pleasure-hedonic relationships have stronger effects from the 28 relationships, indicating that consumer emotions and recreational motivation for shopping are strongly associated. In addition, the study examines all identified studies in terms of the following relevant moderator-variables. Some of them were significant. The paper concludes with a discussion of the implications for practice and further research.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296312001439
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Elsevier in its journal Journal of Business Research.

    Volume (Year): 66 (2013)
    Issue (Month): 9 ()
    Pages: 1420-1426

    as
    in new window

    Handle: RePEc:eee:jbrese:v:66:y:2013:i:9:p:1420-1426
    DOI: 10.1016/j.jbusres.2012.05.009
    Contact details of provider: Web page: http://www.elsevier.com/locate/jbusres

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as
    in new window


    1. Hui, Michael K & Bateson, John E G, 1991. " Perceived Control and the Effects of Crowding and Consumer Choice on the Service Experience," Journal of Consumer Research, Oxford University Press, vol. 18(2), pages 174-184, September.
    2. Wirtz, Jochen & Bateson, John E. G., 1999. "Consumer Satisfaction with Services: Integrating the Environment Perspective in Services Marketing into the Traditional Disconfirmation Paradigm," Journal of Business Research, Elsevier, vol. 44(1), pages 55-66, January.
    3. Ladhari, Riadh, 2007. "The movie experience: A revised approach to determinants of satisfaction," Journal of Business Research, Elsevier, vol. 60(5), pages 454-462, May.
    4. Turley, L. W. & Milliman, Ronald E., 2000. "Atmospheric Effects on Shopping Behavior: A Review of the Experimental Evidence," Journal of Business Research, Elsevier, vol. 49(2), pages 193-211, August.
    5. Chebat, Jean-Charles & Michon, Richard, 2003. "Impact of ambient odors on mall shoppers' emotions, cognition, and spending: A test of competitive causal theories," Journal of Business Research, Elsevier, vol. 56(7), pages 529-539, July.
    6. John U. Farley & Donald R. Lehmann & Alan Sawyer, 1995. "Empirical Marketing Generalization Using Meta-Analysis," Marketing Science, INFORMS, vol. 14(3_supplem), pages 36-46.
    7. Mano, Haim & Oliver, Richard L, 1993. " Assessing the Dimensionality and Structure of the Consumption Experience: Evaluation, Feeling, and Satisfaction," Journal of Consumer Research, Oxford University Press, vol. 20(3), pages 451-466, December.
    8. Oliver, Richard L, 1993. " Cognitive, Affective, and Attribute BAses of the Satisfaction Response," Journal of Consumer Research, Oxford University Press, vol. 20(3), pages 418-430, December.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:eee:jbrese:v:66:y:2013:i:9:p:1420-1426. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.