IDEAS home Printed from https://ideas.repec.org/a/inm/orisre/v32y2021i4p1115-1127.html
   My bibliography  Save this article

Show Me the Money: The Economic Impact of Membership-Based Free Shipping Programs on E-Tailers

Author

Listed:
  • Zhen Fang

    (Michael G. Foster School of Business, University of Washington, Seattle, Washington 98195)

  • Yi-Chun (Chad) Ho

    (School of Business, George Washington University, Washington, District of Columbia 20052)

  • Xue (Jane) Tan

    (Kelley School of Business, Indiana University, Bloomington, Indiana 47405)

  • Yong Tan

    (Michael G. Foster School of Business, University of Washington, Seattle, Washington 98195)

Abstract

This research examines the economic impact of membership-based free-shipping (MFS) programs when introduced as an augmentation to widely accepted contingent free-shipping (CFS) policies. Under CFS, consumers waive the shipping surcharge if the order exceeds a certain threshold, whereas under MFS, consumers pay an upfront fee and enjoy the free-shipping perk throughout the membership period. We develop a stylized model that considers consumer heterogeneity in two dimensions: (1) disutility from acquiring an auxiliary product— a product that consumers would not otherwise purchase—to qualify for CFS; and (2) shopping frequency over a given period. Our analysis suggests that the introduction of MFS allows the e-tailer to segment the market further, which could lead to a higher product price. When the disutility from acquiring an auxiliary product is moderate, the e-tailer should charge a high membership fee to target only frequent shoppers who forgo CFS. However, the e-tailer should lower the fee to lure also (1) frequent shoppers who would otherwise take CFS, when the disutility is high; or (2) infrequent shoppers who would otherwise forgo CFS, when the disutility is low. In all cases, although the collected fee revenue can never compensate for the cost arising from offering the free-shipping perk, the loss can be recouped as a desirable outcome of a more segmented market. Our research generates insights into the optimal design of e-tailers’ shipping policies, shedding light on the practical challenges that confront e-tailers.

Suggested Citation

  • Zhen Fang & Yi-Chun (Chad) Ho & Xue (Jane) Tan & Yong Tan, 2021. "Show Me the Money: The Economic Impact of Membership-Based Free Shipping Programs on E-Tailers," Information Systems Research, INFORMS, vol. 32(4), pages 1115-1127, December.
  • Handle: RePEc:inm:orisre:v:32:y:2021:i:4:p:1115-1127
    DOI: 10.1287/isre.2021.1001
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/isre.2021.1001
    Download Restriction: no

    File URL: https://libkey.io/10.1287/isre.2021.1001?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. Yi-Chun (Chad) Ho & Yi-Jen (Ian) Ho & Yong Tan, 2017. "Online Cash-back Shopping: Implications for Consumers and e-Businesses," Information Systems Research, INFORMS, vol. 28(2), pages 250-264, June.
    2. Michael D. Smith & Erik Brynjolfsson, 2001. "Consumer Decision-making at an Internet Shopbot: Brand Still Matters," NBER Chapters, in: E-commerce, pages 541-558, National Bureau of Economic Research, Inc.
    3. Boone, Tonya & Ganeshan, Ram, 2013. "Exploratory analysis of free shipping policies of online retailers," International Journal of Production Economics, Elsevier, vol. 143(2), pages 627-632.
    4. Lingxiu Dong & Panos Kouvelis & Zhongjun Tian, 2009. "Dynamic Pricing and Inventory Control of Substitute Products," Manufacturing & Service Operations Management, INFORMS, vol. 11(2), pages 317-339, December.
    5. Shao, Xiao-Feng, 2017. "Free or calculated shipping: Impact of delivery cost on supply chains moving to online retailing," International Journal of Production Economics, Elsevier, vol. 191(C), pages 267-277.
    6. Michael D. Smith & Erik Brynjolfsson, 2001. "Consumer Decision-making at an Internet Shopbot: Brand Still Matters," NBER Chapters, in: E-commerce, pages 541-558, National Bureau of Economic Research, Inc.
    7. Jeffrey D. Shulman & Xianjun Geng, 2013. "Add-on Pricing by Asymmetric Firms," Management Science, INFORMS, vol. 59(4), pages 899-917, April.
    8. Becerril-Arreola, Rafael & Leng, Mingming & Parlar, Mahmut, 2013. "Online retailers’ promotional pricing, free-shipping threshold, and inventory decisions: A simulation-based analysis," European Journal of Operational Research, Elsevier, vol. 230(2), pages 272-283.
    9. Michael Lewis & Vishal Singh & Scott Fay, 2006. "An Empirical Study of the Impact of Nonlinear Shipping and Handling Fees on Purchase Incidence and Expenditure Decisions," Marketing Science, INFORMS, vol. 25(1), pages 51-64, 01-02.
    10. Xianjun Geng & Jeffrey D. Shulman, 2015. "How Costs and Heterogeneous Consumer Price Sensitivity Interact with Add-On Pricing," Production and Operations Management, Production and Operations Management Society, vol. 24(12), pages 1870-1882, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hu, Li & Zhang, Mengwei & Wen, Xin, 2023. "Optimal distribution strategy of coupons on e-commerce platforms: Sufficient or scarce?," International Journal of Production Economics, Elsevier, vol. 266(C).

    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. Shao, Xiao-Feng, 2017. "Free or calculated shipping: Impact of delivery cost on supply chains moving to online retailing," International Journal of Production Economics, Elsevier, vol. 191(C), pages 267-277.
    2. Hu Wang & Di Li & Changbin Jiang & Yuxiang Zhang, 2023. "Exploring the Interactive Relationship between Retailers’ Free Shipping Decisions and Manufacturers’ Product Sales in Digital Retailing," Sustainability, MDPI, vol. 15(17), pages 1-19, August.
    3. T. M. Rofin & Biswajit Mahanty, 2021. "Fulfillment mode selection for Indian online sellers under free and flat rate shipping policies," Electronic Commerce Research, Springer, vol. 21(2), pages 263-296, June.
    4. Urvashi Tandon & Amit Mittal & Sridhar Manohar, 2021. "Examining the impact of intangible product features and e-commerce institutional mechanics on consumer trust and repurchase intention," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(4), pages 945-964, December.
    5. Huang, Wen-Hsien & Cheng, Yi-Ching, 2015. "Threshold free shipping policies for internet shoppers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 193-203.
    6. Hu Wang & Di Li & Changbin Jiang, 2023. "Online retailers' price structure decisions in competitive markets: A structure–conduct–performance framework," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 1125-1141, March.
    7. Huang, Wen-Hsien & Shen, George C. & Liang, Che-Ling, 2019. "The effect of threshold free shipping policies on online shoppers' willingness to pay for shipping," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 105-112.
    8. Johannes Voester & Bjoern Ivens & Alexander Leischnig, 2017. "Partitioned pricing: review of the literature and directions for further research," Review of Managerial Science, Springer, vol. 11(4), pages 879-931, October.
    9. Anke Lepthien & Michel Clement, 2019. "Shipping fee schedules and return behavior," Marketing Letters, Springer, vol. 30(2), pages 151-165, June.
    10. Kopalle, Praveen & Biswas, Dipayan & Chintagunta, Pradeep K. & Fan, Jia & Pauwels, Koen & Ratchford, Brian T. & Sills, James A., 2009. "Retailer Pricing and Competitive Effects," Journal of Retailing, Elsevier, vol. 85(1), pages 56-70.
    11. Pradeep K. Chintagunta & Junhong Chu & Javier Cebollada, 2012. "Quantifying Transaction Costs in Online/Off-line Grocery Channel Choice," Marketing Science, INFORMS, vol. 31(1), pages 96-114, January.
    12. Choi, Jungsil & Madhavaram, Sreedhar R. & Park, Hyun Young, 2020. "The Role of Hedonic and Utilitarian Motives on the Effectiveness of Partitioned Pricing," Journal of Retailing, Elsevier, vol. 96(2), pages 251-265.
    13. Xiaxia Ma & Wenliang Bian & Xiqing Yang & Shengnan Niu & Yongming Cai & Jie Guan & Wenbin Wang, 2022. "Online Retailer’s Contingent Free-Shipping Decisions under Large-Scale Promotions Considering Delayed Delivery," Sustainability, MDPI, vol. 14(17), pages 1-22, August.
    14. Junhong Chu & Pradeep Chintagunta & Javier Cebollada, 2008. "Research Note—A Comparison of Within-Household Price Sensitivity Across Online and Offline Channels," Marketing Science, INFORMS, vol. 27(2), pages 283-299, 03-04.
    15. Brett Danaher & Michael D. Smith & Rahul Telang, 2014. "Piracy and Copyright Enforcement Mechanisms," Innovation Policy and the Economy, University of Chicago Press, vol. 14(1), pages 25-61.
    16. Robert Zeithammer & Peter Lenk, 2006. "Bayesian estimation of multivariate-normal models when dimensions are absent," Quantitative Marketing and Economics (QME), Springer, vol. 4(3), pages 241-265, September.
    17. Liran Einav & Dan Knoepfle & Jonathan Levin & Neel Sundaresan, 2014. "Sales Taxes and Internet Commerce," American Economic Review, American Economic Association, vol. 104(1), pages 1-26, January.
    18. Bart J. Bronnenberg & Jean-Pierre Dubé & Matthew Gentzkow & Jesse M. Shapiro, 2015. "Do Pharmacists Buy Bayer? Informed Shoppers and the Brand Premium," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(4), pages 1669-1726.
    19. Ornella Tarola & Jean Gabszewicz & Didier Laussel, 2011. "To Acquire, or To Compete? An Entry Dilemma," Journal of Industry, Competition and Trade, Springer, vol. 11(4), pages 369-383, December.
    20. Ting Li & Robert J. Kauffman & Eric van Heck & Peter Vervest & Benedict G. C. Dellaert, 2014. "Consumer Informedness and Firm Information Strategy," Information Systems Research, INFORMS, vol. 25(2), pages 345-363, June.

    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:orisre:v:32:y:2021:i:4:p:1115-1127. 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: 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.