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. 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.
    2. Gurumurthy Kalyanaram & Russell S. Winer, 1995. "Empirical Generalizations from Reference Price Research," Marketing Science, INFORMS, vol. 14(3_supplem), pages 161-169.
    3. 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.
    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. 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.
    2. 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.
    3. 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.
    4. 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).
    5. 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.
    6. 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.
    7. Zhaofu Hong & Hao Wang & Yeming Gong, 2019. "Green product design considering functional-product reference," Post-Print hal-02312293, HAL.
    8. 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.
    9. 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).
    10. Priya Jha-Dang, 2006. "A Review of Psychological Research on Consumer Promotions and a New Perspective Based on Mental Accounting," Vision, , vol. 10(3), pages 35-43, July.
    11. Rabbanee, Fazlul K. & Roy, Rajat & Sharma, Piyush, 2022. "Contextual differences in the moderating effects of price consciousness and social desirability in pay-what-you-want (PWYW) pricing," Journal of Business Research, Elsevier, vol. 141(C), pages 13-25.
    12. Martin Spann & Bernd Skiera, 2020. "Dynamische Preisgestaltung in der digitalisierten Welt [Dynamic Pricing in a Digitized World]," Schmalenbach Journal of Business Research, Springer, vol. 72(3), pages 321-342, September.
    13. Deqing Ma & Jinsong Hu & Weihao Wang, 2021. "Differential game of product–service supply chain considering consumers’ reference effect and supply chain members’ reciprocity altruism in the online-to-offline mode," Annals of Operations Research, Springer, vol. 304(1), pages 263-297, September.
    14. Fok, D. & Horváth, C. & Paap, R. & Franses, Ph.H.B.F., 2004. "A hierarchical Bayes error correction model to explain dynamic effects," Econometric Institute Research Papers EI 2004-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    15. VANHUELE, Marc & LAURENT, Gilles & DREZE, Xavier, 2005. "Consumers' immediate memory for prices," HEC Research Papers Series 813, HEC Paris.
    16. Chunhua Wu & Koray Cosguner, 2020. "Profiting from the Decoy Effect: A Case Study of an Online Diamond Retailer," Marketing Science, INFORMS, vol. 39(5), pages 974-995, September.
    17. repec:dau:papers:123456789/4234 is not listed on IDEAS
    18. Necati Tereyağoğlu & Peter S. Fader & Senthil Veeraraghavan, 2018. "Multiattribute Loss Aversion and Reference Dependence: Evidence from the Performing Arts Industry," Management Science, INFORMS, vol. 64(1), pages 421-436, January.
    19. Luiz Antonio Slongo & Carlos Sérgio Valdez Saldanha & Syed H. Akhter, 2014. "Low-Income Consumers in Brazil: Nuances of a Market That Can No Longer Be Ignored," International Journal of Management Sciences, Research Academy of Social Sciences, vol. 4(10), pages 485-505.
    20. Kamel Jedidi & Carl F. Mela & Sunil Gupta, 1999. "Managing Advertising and Promotion for Long-Run Profitability," Marketing Science, INFORMS, vol. 18(1), pages 1-22.
    21. repec:hum:wpaper:sfb649dp2005-057 is not listed on IDEAS
    22. Koen Pauwels & Shuba Srinivasan & Philip Hans Franses, 2007. "When Do Price Thresholds Matter in Retail Categories?," Marketing Science, INFORMS, vol. 26(1), pages 83-100, 01-02.

    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.