IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0202732.html
   My bibliography  Save this article

In the real world, people prefer their last whisky when tasting options in a long sequence

Author

Listed:
  • Adele Quigley-McBride
  • Gregory Franco
  • Daniel Bruce McLaren
  • Antonia Mantonakis
  • Maryanne Garry

Abstract

When people in laboratory studies sample products in a sequence, they tend to prefer options presented first and last. To what extent do these primacy and recency effects carry over to real-world settings where numerous sources of information determine preferences? To investigate this question, we coded archival data from 136 actual whisky tastings each featuring seven whiskies. We analyzed people’s ratings of whiskies featured at different serial positions in the tastings. We found a recency effect: people gave their highest rating to whiskies in the last position, and voted the last whisky as their favorite more frequently. This recency effect persisted when we controlled for the counter explanation that whiskies with higher alcohol content tended to occupy later serial positions. The recency effect also persisted when we controlled for the age of the whiskies. Taken together, our findings suggest that the order of presentation matters in real-world settings, closely resembling what happens in laboratory settings with longer sequences of options.

Suggested Citation

  • Adele Quigley-McBride & Gregory Franco & Daniel Bruce McLaren & Antonia Mantonakis & Maryanne Garry, 2018. "In the real world, people prefer their last whisky when tasting options in a long sequence," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-14, August.
  • Handle: RePEc:plo:pone00:0202732
    DOI: 10.1371/journal.pone.0202732
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0202732
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0202732&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0202732?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
    ---><---

    References listed on IDEAS

    as
    1. Page, Lionel & Page, Katie, 2010. "Last shall be first: A field study of biases in sequential performance evaluation on the Idol series," Journal of Economic Behavior & Organization, Elsevier, vol. 73(2), pages 186-198, February.
    2. Valerio Capraro, 2013. "A Model of Human Cooperation in Social Dilemmas," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-6, August.
    3. Pieters, Rik G M & Bijmolt, Tammo H A, 1997. "Consumer Memory for Television Advertising: A Field Study of Duration, Serial Position, and Competition Effects," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 23(4), pages 362-372, March.
    4. Pieters, R. & Bijmolt, T.H.A., 1997. "Consumer memory for television advertising : A field study of duration, serial position and competition effects," Other publications TiSEM 1ae20014-8470-4056-8e3d-6, Tilburg University, School of Economics and Management.
    5. Samuelson, William & Zeckhauser, Richard, 1988. "Status Quo Bias in Decision Making," Journal of Risk and Uncertainty, Springer, vol. 1(1), pages 7-59, March.
    6. Cass Sunstein, 2014. "Nudging: A Very Short Guide," Journal of Consumer Policy, Springer, vol. 37(4), pages 583-588, December.
    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. Beth L. Fossen & Girish Mallapragada & Anwesha De, 2021. "Impact of Political Television Advertisements on Viewers’ Response to Subsequent Advertisements," Marketing Science, INFORMS, vol. 40(2), pages 305-324, March.
    2. Diane Pelly & Orla Doyle, 2022. "Nudging in the workplace: increasing participation in employee EDI wellness events," Working Papers 202208, Geary Institute, University College Dublin.
    3. Javornik, Ana & Filieri, Raffaele & Gumann, Ralph, 2020. "“Don't Forget that Others Are Watching, Too!” The Effect of Conversational Human Voice and Reply Length on Observers' Perceptions of Complaint Handling in Social Media," Journal of Interactive Marketing, Elsevier, vol. 50(C), pages 100-119.
    4. Berger, A. & Grigoriev, A. & van Loon, J., 2008. "Price strategy implementation," Research Memorandum 035, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    5. Darley, William K. & Luethge, Denise J., 2019. "Service value and retention: Does gender matter?," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 178-185.
    6. Amihai Glazer, 2013. "Performance when misinformation increases with experience," Journal of Theoretical Politics, , vol. 25(1), pages 63-74, January.
    7. Oun-Joung Park & Jong-hyun Ryu, 2019. "Cognitive fit effects of online reviews on tourists’ information search," Information Technology & Tourism, Springer, vol. 21(3), pages 313-335, September.
    8. Kay Blaufus & Michael Milde, 2021. "Tax Misperceptions and the Effect of Informational Tax Nudges on Retirement Savings," Management Science, INFORMS, vol. 67(8), pages 5011-5031, August.
    9. Gijsenberg, Maarten J., 2014. "Going for gold: Investigating the (non)sense of increased advertising around major sports events," International Journal of Research in Marketing, Elsevier, vol. 31(1), pages 2-15.
    10. Dolnicar, Sara, 2020. "Designing for more environmentally friendly tourism," Annals of Tourism Research, Elsevier, vol. 84(C).
    11. Elisa Gambetti & Micaela Maria Zucchelli & Raffaella Nori & Fiorella Giusberti, 2022. "Default rules in investment decision-making: trait anxiety and decision-making styles," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-26, December.
    12. Bharadwaj, Neeraj & Ballings, Michel & Naik, Prasad A., 2020. "Cross-Media Consumption: Insights from Super Bowl Advertising," Journal of Interactive Marketing, Elsevier, vol. 50(C), pages 17-31.
    13. Kunte Sebastian, 2020. "The Regional Nudger: Wie Erkenntnisse der Verhaltensökonomie die Regionalpolitik und die politische Praxis auf Länderebene verbessern können," Zeitschrift für Wirtschaftspolitik, De Gruyter, vol. 69(1), pages 69-87, May.
    14. Ashish Agarwal & Kartik Hosanagar & Michael D. Smith, 2015. "Do Organic Results Help or Hurt Sponsored Search Performance?," Information Systems Research, INFORMS, vol. 26(4), pages 695-713, December.
    15. Möllenkamp, Meilin & Zeppernick, Maike & Schreyögg, Jonas, 2019. "The effectiveness of nudges in improving the self-management of patients with chronic diseases: A systematic literature review," Health Policy, Elsevier, vol. 123(12), pages 1199-1209.
    16. Matthias Buchholz & Oliver Musshoff, 2021. "Tax or green nudge? An experimental analysis of pesticide policies in Germany [A psychological study of the inverse relationship between perceived risk and perceived benefit]," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 48(4), pages 940-982.
    17. Poncin, Ingrid & Pieters, Rik & Ambaye, Michele, 2006. "Cross-advertisement affectivity: The influence of similarity between commercials and processing modes of consumers on advertising processing," Journal of Business Research, Elsevier, vol. 59(6), pages 745-754, June.
    18. Bernhard Swoboda & Cathrin Puchert & Dirk Morschett, 2016. "Explaining the differing effects of corporate reputation across nations: a multilevel analysis," Journal of the Academy of Marketing Science, Springer, vol. 44(4), pages 454-473, July.
    19. François J Dessart & Jesús Barreiro-Hurlé & René van Bavel, 2019. "Behavioural factors affecting the adoption of sustainable farming practices: a policy-oriented review," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 46(3), pages 417-471.
    20. S. Siddarth & Amitava Chattopadhyay, 1998. "To Zap or Not to Zap: A Study of the Determinants of Channel Switching During Commercials," Marketing Science, INFORMS, vol. 17(2), pages 124-138.

    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:plo:pone00:0202732. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.