IDEAS home Printed from https://ideas.repec.org/a/inm/ormsom/v25y2023i5p1643-1659.html
   My bibliography  Save this article

Retail Sample Boxes: Counteracting the Adverse Effect of Accelerated Learning via Future Credit

Author

Listed:
  • Alireza Yazdani

    (Department of Technology and Operations Management, College of Business Administration, California State Polytechnic University, Pomona, California 91768)

  • Eren B. Çil

    (Department of Operations and Business Analytics, Lundquist College of Business, University of Oregon, Eugene, Oregon 97403)

  • Michael Pangburn

    (Department of Operations and Business Analytics, Lundquist College of Business, University of Oregon, Eugene, Oregon 97403)

Abstract

Problem definition: Consumers often try a few varieties of an experience product before establishing a shopping routine. In retailing, a sample box typically refers to a package of multiple trial-sized varieties within a product category. Sample boxes potentially create value by helping consumers resolve their uncertainties regarding these varieties earlier and at a lower cost. In this paper, we study how firms and consumers share this added value under different market scenarios. We also derive the optimal pricing of sample boxes in product categories for which consumers make ongoing purchases over time. Academic/practical relevance : We thus extend the literature by proposing a framework that integrates sequential search and seller-induced learning. Methodology : We analyze a firm’s pricing decisions when consumers either purchase full-sized options sequentially or bypass that process via a sample box. We use dynamic programming to analyze consumers’ search problem (in the absence of a sample box) and nonlinear optimization to analyze the firm’s problem. Results : As anticipated, the informational value of a sample box yields an optimal price premium relative to the prices of individual products. Despite this price premium, we show that the firm’s expected profit may decrease because a sample box accelerates consumer learning, and thus, it may help consumers settle upon an outside option earlier. We establish that a firm can reverse the potential adverse profit impact of selling sample boxes by introducing an optimally specified future credit. Managerial implications : Offering sample boxes is a common practice in retailing. Contrasting the resulting expected profits with and without the sample box option, our results highlight that managers may be ill-advised to offer a sample box in the absence of the future credit mechanism. This study is the first to address the pricing of sample boxes and show the optimality of offering credit toward a subsequent purchase.

Suggested Citation

  • Alireza Yazdani & Eren B. Çil & Michael Pangburn, 2023. "Retail Sample Boxes: Counteracting the Adverse Effect of Accelerated Learning via Future Credit," Manufacturing & Service Operations Management, INFORMS, vol. 25(5), pages 1643-1659, September.
  • Handle: RePEc:inm:ormsom:v:25:y:2023:i:5:p:1643-1659
    DOI: 10.1287/msom.2023.1206
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/msom.2023.1206
    Download Restriction: no

    File URL: https://libkey.io/10.1287/msom.2023.1206?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
    ---><---

    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:inm:ormsom:v:25:y:2023:i:5:p:1643-1659. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.