An Empirical Study of the Impact of Nonlinear Shipping and Handling Fees on Purchase Incidence and Expenditure Decisions

Published Online:https://doi.org/10.1287/mksc.1050.0150

References

  • Abramson Charles, Andrews Rick, Currim Imran, Jones Morgan. Parameter bias from unobserved effects in multinomial logit models of consumer choice. J. Marketing Res. (2000) 37(4):410–426CrossrefGoogle Scholar
  • Allenby Greg M., Shively Thomas S., Yang Sha, Garratt Mark J. A choice model for packaged goods: Dealing with discrete quantities and quantity discounts. Marketing Sci. (2004) 23(1):95–108LinkGoogle Scholar
  • Barsh Joanna, Crawford Blair, Grosso Chris. How E-tailing can rise from the ashes. McKinsey Quart. (2000) 3:98–109Google Scholar
  • Bell David R., Lattin James. Shopping behavior and consumer preferences for store price format: Why “large basket” shoppers prefer EDLP. Marketing Sci. (1998) 17(1):66–88LinkGoogle Scholar
  • Bohman Ray. A closer look at catalog S&H charges. Logistics Management Distribution Rep. (1999) 38(11):27Google Scholar
  • Bult Jan Roelf, Wansbeek Tom. Optimal selection for direct mail. Marketing Sci. (1995) 14(4):378–395LinkGoogle Scholar
  • CNN.com Domino’s pizza ending free delivery. (2002) . CNN Online, www.cnn.com/2002/us/08/10/pizza.delivery.ap/index.htmlGoogle Scholar
  • Courogen Chris. Amazon.com once again offers free shipping to online customers. Knight Ridder Bus. News (2002) Oct. 2):2000Google Scholar
  • Danaher Peter J., Wilson Isaac W., Davis Robert A. A comparison of online and offline consumer brand loyalty. Marketing Sci. (2003) 22(4):461–476LinkGoogle Scholar
  • Dolan Robert. Quantity discounts: Managerial issues and research opportunities. Marketing Sci. (1987) 6(1):1–22LinkGoogle Scholar
  • Dolan Robert, Simon Hermann. Power Pricing (1996) (The Free Press, New York) Google Scholar
  • Dreze X., Nisol P., Vilcassim N. Retailer promotions and within-store household expenditures: An empirical analysis. Quant. Marketing Econom. (2004) 2(1):59–92CrossrefGoogle Scholar
  • Elsner Ralf, Krafft Manfred, Huchzermeier Arnd. Optimizing Rhenania’s direct marketing business through dynamic multilevel modeling (DMLM) in a multicatalog-brand environment. Marketing Sci. (2004) 23(2):192–206LinkGoogle Scholar
  • Ernst and Young Third annual online retailing report. (1999) Google Scholar
  • Gönül F., Shi Meng Ze. Optimal mailing of catalogs: A new methodology using estimable structural dynamic programming models. Management Sci. (1998) 44(9):1249–1262LinkGoogle Scholar
  • Hess James, Mayhew Glenn. Modeling merchandise returns in direct marketing. J. Direct Marketing (1997) 11(2):20–35CrossrefGoogle Scholar
  • Hughes Arthur. Strategic Database Marketing (2000) (McGraw Hill, New York) Google Scholar
  • Janda S., Trocchia P., Gwinner K. Consumer perceptions of Internet retail service quality. Internat. J. Service Industry Management (2002) 13(5):412–421CrossrefGoogle Scholar
  • Jupiter Communications Creating loyalty: Building profitable relationships. (2001) . Jupiter Vision Report: Digital Commerce, Vol. 2Google Scholar
  • Kamakura Wagner, Russell Gary. A probabilistic choice model for market segmentation and elasticity structure. J. Marketing Res. (1989) 26(November):379–390CrossrefGoogle Scholar
  • Lisanti Tony. The 15 laws of cyberretailing. Discount Store News (1999) 38(4):11Google Scholar
  • Moore John. The death of free delivery. Business 2.0 (2000) Sept. 21Google Scholar
  • Morwitz V. G., Greenleaf E. A., Johnson E. J. Divide and prosper: Consumers’ reactions to partitioned prices. J. Marketing Res. (1998) 35(November):453–463CrossrefGoogle Scholar
  • Neslin Scott. Sales Promotion (2002) (Marketing Science Institute, Cambridge, MA) CrossrefGoogle Scholar
  • Nightingdale Tom. Oh no! Free shipping! Traffic World (2000) March 6). www.trafficworld.comGoogle Scholar
  • Pyke D., Johnson M. E., Desmond P. E-fulfillment, it’s harder than it looks. Supply Chain Management Rev. (2001) Jan./Feb.):26–32Google Scholar
  • Quick Rebecca. Days of freebies disappear for Web shoppers; too good to last E-retailers money dries up with free shipping, giveaways. Wall Street J. (2000) June 26):R8Google Scholar
  • Ricker F., Kalakota R. Order fulfillment: The hidden key to E-commerce success. Supply Chain Management Rev. (1999) Fall:60–70Google Scholar
  • Rosen K., Howard A. E-retail: Gold rush or fool’s gold? California Management Rev. (2000) 42(3):72–100CrossrefGoogle Scholar
  • Shepard, David and AssociatesThe New Direct Marketing (1999) 3rd ed.(McGraw-Hill, New York) Google Scholar
  • Train Kenneth, McFadden Daniel, Ben-Akiva Moshe. The demand for local telephone service: A fully discrete model of residential calling patterns and service choices. RAND J. Econom. (1987) 18:109–123CrossrefGoogle Scholar
  • Train Kenneth, Ben-Akiva Moshe, Atherton Terry. Consumption patterns and self-selecting tariffs. Rev. Econom. Statist. (1989) 25(2):62–73CrossrefGoogle Scholar
  • Trocchia P., Janda S. How do consumers evaluate Internet retail service quality. J. Services Marketing (2003) 17(2/3):243–251CrossrefGoogle Scholar
  • Tyagi Rajeev. Technological advances, transaction costs, and consumer welfare. Marketing Sci. (2004) 23(3):335–344LinkGoogle Scholar
  • Wingfield Nick. Leading the news: Amazon boosts forecasts as sales soar. Wall Street J. (2003) Jan. 24):A.3Google Scholar
  • Wood Stacey. Remote purchase environments: The influence of return policy leniency on two-stage decision processes. J. Marketing Res. (2001) 38(May):157–169CrossrefGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.