IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v109y2020icp536-544.html
   My bibliography  Save this article

The 1 in 1,000,000: Context effects of how numbers cue different kinds of incidental environmental anchoring in marketing communications

Author

Listed:
  • Koçaş, Cenk
  • Dogerlioglu-Demir, Kivilcim

Abstract

Drawing from the literature on incidental environmental anchoring, alphanumeric brand names, and number activation, this article demonstrates that random numerical values used in marketing communications can influence consumers' price perceptions. Surprisingly, even one number can represent many different incidental values depending on the context. The mechanism potentially involves consumers unknowingly using relevant associations to modify numbers to fit the given context. The authors examine this multifaceted nature of single numerical values in three studies, each of which concentrates on a specific association (i.e., shifting decimal, negative, and inverse) that modifies the given number to suit the context. In a fourth study, they establish external validity of the associations. Overall, this research demonstrates that a single number appearing in marketing communications can be multifaceted and that people employ one of the automatically generated values—the one most applicable to the given context—as an incidental anchor when making decisions.

Suggested Citation

  • Koçaş, Cenk & Dogerlioglu-Demir, Kivilcim, 2020. "The 1 in 1,000,000: Context effects of how numbers cue different kinds of incidental environmental anchoring in marketing communications," Journal of Business Research, Elsevier, vol. 109(C), pages 536-544.
  • Handle: RePEc:eee:jbrese:v:109:y:2020:i:c:p:536-544
    DOI: 10.1016/j.jbusres.2019.01.027
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S014829631930027X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jbusres.2019.01.027?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
    ---><---

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

    References listed on IDEAS

    as
    1. Kivilcim Dogerlioglu-Demir & Cenk Koçaş, 2015. "Seemingly incidental anchoring: the effect of incidental environmental anchors on consumers’ willingness to pay," Marketing Letters, Springer, vol. 26(4), pages 607-618, December.
    2. Gurumurthy Kalyanaram & Russell S. Winer, 1995. "Empirical Generalizations from Reference Price Research," Marketing Science, INFORMS, vol. 14(3_supplem), pages 161-169.
    3. Yan, Dengfeng & Duclos, Rod, 2013. "Making sense of numbers: Effects of alphanumeric brands on consumer inference," International Journal of Research in Marketing, Elsevier, vol. 30(2), pages 179-184.
    4. Gunasti, Kunter & Ross, William T., 2015. "The effects of compensatory inferences for attributes on the choice of incomplete product options," Journal of Business Research, Elsevier, vol. 68(5), pages 1136-1144.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Santana, Shelle & Thomas, Manoj & Morwitz, Vicki G., 2020. "The Role of Numbers in the Customer Journey," Journal of Retailing, Elsevier, vol. 96(1), pages 138-154.
    2. Katina Kulow & Keith S. Coulter & Michael J. Barone & Xingbo (Bo) Li, 2022. "How internal reference prices determine when a price’s location will influence consumer judgments," Marketing Letters, Springer, vol. 33(4), pages 563-575, December.
    3. Inwon Kang & Deokhee Cheon & Matthew Shin, 2011. "Advertising strategy for outbound travel services," Service Business, Springer;Pan-Pacific Business Association, vol. 5(4), pages 361-380, December.
    4. Shunda, Nicholas, 2009. "Auctions with a buy price: The case of reference-dependent preferences," Games and Economic Behavior, Elsevier, vol. 67(2), pages 645-664, November.
    5. Wang, Fei & Yuan, Yu & Lu, Liangdong, 2021. "Dynamical prediction model of consumers’ purchase intentions regarding anti-smog products during smog risk: Taking the information flow perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    6. Popkowski Leszczyc, Peter T.L. & Qiu, Chun & He, Yongfu, 2009. "Empirical Testing of the Reference-Price Effect of Buy-Now Prices in Internet Auctions," Journal of Retailing, Elsevier, vol. 85(2), pages 211-221.
    7. Biondi, Beatrice & Cornelsen, Laura & Mazzocchi, Mario & Smith, Richard, 2020. "Between preferences and references: Asymmetric price elasticities and the simulation of fiscal policies," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 108-128.
    8. Hongjuan Song & Yushi Jiang, 2019. "Dynamic pricing decisions by potential tourists under uncertainty: The effects of tourism advertising," Tourism Economics, , vol. 25(2), pages 213-234, March.
    9. Levy, Daniel & Snir, Avichai & Gotler, Alex & Chen, Haipeng (Allan), 2020. "Not all price endings are created equal: Price points and asymmetric price rigidity," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue forthcomi.
    10. Bernhard Baumgartner & Daniel Guhl & Thomas Kneib & Winfried J. Steiner, 2018. "Flexible estimation of time-varying effects for frequently purchased retail goods: a modeling approach based on household panel data," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(4), pages 837-873, October.
    11. Magnini, Vincent P. & Karande, Kiran, 2011. "Understanding consumer services buyers based upon their purchase channel," Journal of Business Research, Elsevier, vol. 64(6), pages 543-550, June.
    12. Javad Nasiry & Ioana Popescu, 2011. "Dynamic Pricing with Loss-Averse Consumers and Peak-End Anchoring," Operations Research, INFORMS, vol. 59(6), pages 1361-1368, December.
    13. Meghan R. Busse & Ayelet Israeli & Florian Zettelmeyer, 2013. "Repairing the Damage: The Effect of Price Expectations on Auto-Repair Price Quotes," NBER Working Papers 19154, National Bureau of Economic Research, Inc.
    14. Levy, Daniel & Snir, Avichai, 2013. "Shrinking Goods," EconStor Preprints 104552, ZBW - Leibniz Information Centre for Economics.
    15. Toshiaki Iizuka & Hitoshi Shigeoka, 2020. "Asymmetric Demand Response when Prices Increase and Decrease: The Case of Child Healthcare," NBER Working Papers 28057, National Bureau of Economic Research, Inc.
    16. Chen, Xiao & Wu, Tian & Zheng, Rui & Guo, Xiaoxian, 2018. "How vehicle market is segmented and influenced by subsidy policy: A theoretical study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 776-782.
    17. Zhaofu Hong & Hao Wang & Yeming Gong, 2019. "Green product design considering functional-product reference," Post-Print hal-02312293, HAL.
    18. Rudy Douven & Ron van der Heijden & Thomas McGuire & Erik Schut, 2017. "Premium levels and demand response in health insurance: relative thinking and zero-price effects," CPB Discussion Paper 366, CPB Netherlands Bureau for Economic Policy Analysis.
    19. Li, Lunzheng & Maniadis, Zacharias & Sedikides, Constantine, 2021. "Anchoring in Economics: A Meta-Analysis of Studies on Willingness-To-Pay and Willingness-To-Accept," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 90(C).
    20. Douven, Rudy & van der Heijden, Ron & McGuire, Thomas & Schut, Frederik, 2020. "Premium levels and demand response in health insurance: relative thinking and zero-price effects," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 903-923.

    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:eee:jbrese:v:109:y:2020:i:c:p:536-544. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc 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 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    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.