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Threshold free shipping policies for internet shoppers

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  • Huang, Wen-Hsien
  • Cheng, Yi-Ching

Abstract

This study examines how consumers evaluate and respond to two economically equivalent but different forms of threshold free shipping (TFS) policy: piece-based or dollar-based (e.g., Regular: $25; free shipping on orders of “4 items” as opposed to “$100”) offered by an online store. We first demonstrate that a piece-based TFS will result in a higher intention to shop than a dollar-based TFS. However, this effect is attenuated when information about the shipping charge is present (e.g., “$4.99 flat rate shipping. Free shipping on orders of ___”) or when the time restriction for the TFS policy is short (e.g., “today only”). Finally, the effect of the TFS policy on intention to shop is shown to be mediated by the consumer’s evaluation of the offer. The observations have important implications for internet retailers.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transa:v:82:y:2015:i:c:p:193-203
    DOI: 10.1016/j.tra.2015.09.015
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    as
    1. Raghubir, Priya & Srivastava, Joydeep, 2002. "Effect of Face Value on Product Valuation in Foreign Currencies," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 29(3), pages 335-347, December.
    2. Georges Dionne & Jingyuan Li & Cedric Okou, 2012. "An Extension of the Consumption-based CAPM Model," Cahiers de recherche 1214, CIRPEE.
    3. Li, Xianghong & Peterson, Hikaru Hanawa & Xia, Tian, 2012. "U.S. Consumer Demand for Differentiated Eggs," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124687, Agricultural and Applied Economics Association.
    4. Inman, J Jeffrey & Peter, Anil C & Raghubir, Priya, 1997. "Framing the Deal: The Role of Restrictions in Accentuating Deal Value," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 24(1), pages 68-79, June.
    5. Li, Raymond & Leung, Guy C.K., 2012. "Coal consumption and economic growth in China," Energy Policy, Elsevier, vol. 40(C), pages 438-443.
    6. Rajesh Bagchi & Xingbo Li, 2011. "Illusionary Progress in Loyalty Programs: Magnitudes, Reward Distances, and Step-Size Ambiguity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(5), pages 888-901.
    7. 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.
    8. Ashwani Monga & Rajesh Bagchi, 2012. "Years, Months, and Days versus 1, 12, and 365: The Influence of Units versus Numbers," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 39(1), pages 185-198.
    9. Shanjun Li & Joshua Linn & Erich Muehlegger, 2014. "Gasoline Taxes and Consumer Behavior," American Economic Journal: Economic Policy, American Economic Association, vol. 6(4), pages 302-342, November.
    10. M. Pandelaere & B. Briers, 2011. "How to Make a 29% Increase Look Bigger: Numerosity Effects in Option Comparisons," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/712, Ghent University, Faculty of Economics and Business Administration.
    11. Rotem-Mindali, Orit & Salomon, Ilan, 2007. "The impacts of E-retail on the choice of shopping trips and delivery: Some preliminary findings," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(2), pages 176-189, February.
    12. Raghubir, Priya, 2006. "An information processing review of the subjective value of money and prices," Journal of Business Research, Elsevier, vol. 59(10-11), pages 1053-1062, October.
    13. Fang Ma & Huijing Shi & Lihua Chen & Yiping Luo, 2012. "A Theory on Fashion Consumption," Journal of Management and Strategy, Journal of Management and Strategy, Sciedu Press, vol. 3(4), pages 84-92, November.
    14. 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.
    15. Xinshu Zhao & John G. Lynch & Qimei Chen, 2010. "Reconsidering Baron and Kenny: Myths and Truths about Mediation Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(2), pages 197-206, August.
    16. 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.
    17. Nan Li & Hailin Mu & Huanan Li & Shusen Gui, 2012. "Diesel Consumption of Agriculture in China," Energies, MDPI, vol. 5(12), pages 1-24, December.
    18. Mario Pandelaere & Barbara Briers & Christophe Lembregts, 2011. "How to Make a 29% Increase Look Bigger: The Unit Effect in Option Comparisons," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 38(2), pages 308-322.
    19. 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.
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    Cited by:

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    2. Kapoor, Anuj Pal & Vij, Madhu, 2021. "Following you wherever you go: Mobile shopping ‘cart-checkout’ abandonment," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    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. 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.
    5. 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.
    6. Eliza Nichifor & Radu Constantin Lixăndroiu & Silvia Sumedrea & Ioana Bianca Chițu & Gabriel Brătucu, 2021. "How Can SMEs Become More Sustainable? Modelling the M-Commerce Consumer Behaviour with Contingent Free Shipping and Customer Journey’s Touchpoints Optimisation," Sustainability, MDPI, vol. 13(12), pages 1-27, June.
    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. 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.

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