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Beyond Posted Prices: the Past, Present, and Future of Participative Pricing Mechanisms

Customer Needs and Solutions volume 5, pages 121–136 (2018)Cite this article

Abstract

Driven by the low transaction costs and interactive nature of the internet, customer participation in the price-setting process has increased. Today, platforms such as eBay have popularized online auctions on a global scale, Priceline has made headlines with its name-your-own-price (NYOP) business model, and Humble Bundle has enabled independent musicians and game developers to market their works through pay-what-you-want (PWYW) pricing. Advertising exchanges conduct several hundred million individual auctions per day to sell online advertising slots. The present paper contributes to the literature on participative pricing in three ways. First, we propose a definition of participative pricing mechanisms, as well as a useful taxonomy. Second, we discuss the current understanding by synthesizing conceptual and empirical academic literature. Third, we outline promising research questions with a key focus on the related behavioral aspects of buyers and sellers.

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Notes

  1. https://www.manheim.com/publicauctions/sales.do

  2. At this auction, passengers with a ticket can submit a (binding) bid for an upgrade (if available) until 72 h prior to departure. Lufthansa informs bidders 24–36 h prior to departure whether their bid was accepted (http://www.lufthansa.com/de/de/myOffer). Other airlines also use this mechanism (http://www.plusgrade.com).

  3. Priceline has a patent on this mechanism in the USA. Although this patent does not extend to Europe, trademark rights do, which may be one reason other companies are hesitant to adopt the mechanism.

  4. See http://pages.ebay.com/help/sell/second_chance_offer.html: “When you send a Second Chance Offer, you give the bidder the chance to buy the item at a Buy It Now price equal to their last bid amount. It’s up to the buyer to decide whether to accept the offer.”

  5. As noted in Section 2, many B2B auctions are procurement reverse auctions in which the product to be sold is, for example, a bridge-building contract offered by a state government (the seller), with contractors playing the roles of buyers.

  6. In most local (and B2B) auctions, the seller (buyer) has an option to reject a high bid when a secret reserve price is used. However, in eBay auctions, the seller needs to prespecify the level of the reserve, and the outcome is binding as soon as the secret reserve is met.

  7. Casual empiricism aligns nicely with this finding. For instance, recently, several car manufacturers instituted “no haggling” policies at dealerships to attract the business of customers, primarily women, who are put off by the thought of bargaining with a car salesperson.

  8. Note our concept of utility from process is not unique in the domain of pricing. For example, considerable research has investigated the perceptions of fairness in response to the pricing actions of sellers. Importantly, fairness typically has two dimensions: one related to the outcome (the price level) and another related to the process (how the price came to be) [16].

  9. US B2B e-commerce sales are expected to top $1 trillion by 2019; see Forrester Research B2B e-Commerce Forecast, 2015 to 2020 at https://www.pepperi.com/wholesale-ecommerce/.

  10. As noted in Section 2, a B2B procurement reverse auction can also be viewed as an auction wherein the product to be sold is a contract offered by the procuring company or government (the seller), with suppliers playing the roles of buyers.

  11. From https://stacksocial.com/sales/pay-what-you-want-b2b-designer-bundle, accessed on 12/1/2016.

  12. In penny auctions, bidders need to pay a fee for each bid placed in an auction (websites currently in operation are Beezid.com, QuiBids.com, BidSauce.com, DealDash.com, and HappyBidDay.com).

References

  1. Amaldoss W, Jain S (2008) Joint bidding in the name-your-own-price channel: a strategic analysis. Manag Sci 54(10):1685–1699. https://doi.org/10.1287/mnsc.1080.0888

    Article  Google Scholar 

  2. Andrews M, Luo X, Fang Z, Aspara J (2014) Cause marketing effectiveness and the moderating role of price discounts. J Mark 78(6):120–142. https://doi.org/10.1509/jm.14.0003

    Article  Google Scholar 

  3. Anton JJ, Yao DA (1987) Second sourcing and the experience curve: price competition in defense procurement. RAND J Econ 18(1):57–76. https://doi.org/10.2307/2555535

    Article  Google Scholar 

  4. Anwar S, McMillan R, Zheng M (2006) Bidding behavior in competing auctions: evidence from eBay. Eur Econ Rev 50(2):307–322. https://doi.org/10.1016/j.euroecorev.2004.10.007

    Article  Google Scholar 

  5. Ariely D, Bracha A, Meier S (2009) Doing good or doing well? Image motivation and monetary incentives in behaving prosocially. Am Econ Rev 99(1):544–555. https://doi.org/10.1257/aer.99.1.544

    Article  Google Scholar 

  6. Astor PJ, Adam MTP, Jähnig C, Seifert S (2013) The joy of winning and the frustration of losing: a psychophysiological analysis of emotions in first-price sealed-bid auctions. J Neurosci Psychol Econ 6(1):14–30. https://doi.org/10.1037/a0031406

    Article  Google Scholar 

  7. Augenblick N (2015) The sunk-cost fallacy in penny auctions. Rev Econ Stud 83(1):58–86

    Article  Google Scholar 

  8. Bajari P, Hortaçsu A (2003) The winner’s curse, reserve prices, and endogenous entry: empirical insights from eBay auctions. RAND J Econ 34(2):329–355. https://doi.org/10.2307/1593721

    Article  Google Scholar 

  9. Bapna R, Goes P, Gupta A (2001) Insights and analyses of online auctions. Commun ACM 44(11):42–50. https://doi.org/10.1145/384150.384160

    Article  Google Scholar 

  10. Beil DR, Wein LM (2009) A pooling analysis of two simultaneous online auctions. Manuf Serv Oper Manag 11(1):33–51. https://doi.org/10.1287/msom.1070.0192

    Article  Google Scholar 

  11. Bertini M, Koenigsberg O (2014) When customers help set prices. Sloan Manag Rev 55(4):57–66

    Google Scholar 

  12. Biyalogorsky E, Koenigsberg O (2010) Ownership coordination in a channel: incentives, returns, and negotiations. Quant Mark Econ 8(4):461–490. https://doi.org/10.1007/s11129-010-9090-z

    Article  Google Scholar 

  13. Bochet O, Page T, Putterman L (2006) Communication and punishment in voluntary contribution experiments. J Econ Behav Organ 60(1):11–26

  14. Boger DC, Liao SS (1988) Quantity-split strategy under two-contractor competitive procurement environment (No. NPS-54-88-008). Naval Postgraduate School Monterey, CA

  15. Boger DC, Shu SL (1998) Quantity-split strategy under two-contractor competitive procurement environment. Naval Postgraduate School, NPS-54-88-008

  16. Campbell MC (1999) Perceptions of price unfairness: antecedents and consequences. J Mark Res 36(2):187–199. https://doi.org/10.2307/3152092

    Article  Google Scholar 

  17. Carpenter J (2007) Punishing free-riders: how group size affects mutual monitoring and the provision of public goods. Games Econ Behav 60(1):31–51. https://doi.org/10.1016/j.geb.2006.08.011

    Article  Google Scholar 

  18. Carpenter J, Homes J, Matthews PH (2008) Charity auctions: a field experiment. Econ J 118(525):92–113

    Article  Google Scholar 

  19. Carter CR, Kaufmann L (2007) The impact of electronic reverse auctions on supplier performance: the mediating role of relationship variables. J Supply Chain Manag 43(1):16–26. https://doi.org/10.1111/j.1745-493X.2007.00024.x

    Article  Google Scholar 

  20. Chandran S, Morwitz VG (2005) Effects of participative pricing on consumers’ cognitions and actions: a goal theoretic perspective. J Consum Res 32(2):249–259. https://doi.org/10.1086/432234

    Article  Google Scholar 

  21. Chao Y, Fernandez J, Nahata B (2015) Pay-what-you-want pricing: can it be profitable? J Behav Exp Econ 57(August):176–185. https://doi.org/10.1016/j.socec.2014.09.004

    Article  Google Scholar 

  22. Chen Y, Koenigsberg O, Zhang J (2017) Pay-as-you-wish pricing. Mark Sci 36(5):780–791. https://doi.org/10.1287/mksc.2017.1032

  23. Chen-Ritzo C-H, Harrison TP, Kwasnica AM, Thomas DJ (2005) Better, faster, cheaper: an experimental analysis of a multiattribute reverse auction mechanism with restricted information feedback. Manag Sci 51(12):1753–1762. https://doi.org/10.1287/mnsc.1050.0433

    Article  Google Scholar 

  24. Chernev A (2003) Reverse pricing and online price elicitation strategies in consumer choice. J Consum Psychol 13(1/2):51–62. https://doi.org/10.1207/S15327663JCP13-1&2_05

    Article  Google Scholar 

  25. Croson RTA, Marks MB (2000) Step returns in threshold public goods: a meta- and experimental analysis. Exp Econ 2(3):239–259. https://doi.org/10.1023/A:1009918829192

    Article  Google Scholar 

  26. Ding M, Eliashberg J, Huber J, Saini R (2005) Emotional bidders: an analytical and experimental examination of consumers’ behavior in a priceline-like reverse auction. Manag Sci 51(3):352–364. https://doi.org/10.1287/mnsc.1040.0331

    Article  Google Scholar 

  27. Eckel CC, Herberich DH, Meer J (2017) A field experiment on directed giving at a public university. J Behav Exp Econ 66:66–71. https://doi.org/10.1016/j.socec.2016.04.007

    Article  Google Scholar 

  28. Edelman B, Ostrovsky M, Schwarz M (2007) Internet advertising and the generalized second-price auction: selling billions of dollars worth of keywords. Am Econ Rev 97(1):242–259. https://doi.org/10.1257/aer.97.1.242

    Article  Google Scholar 

  29. Einav L, Farronato C, Levin JD, Sundaresan N (2018) Auctions versus posted prices in online markets. J Polit Econ. https://doi.org/10.1086/695529

  30. Elberse A, Bergsman J (2008) Radiohead: music at your own price (A) Harvard Business School Publishing. case # 9-508-110

  31. Elfenbein DW, McManus B (2010) A greater price for a greater good? Evidence that consumers pay more for charity? Linked products. Am Econ J Econ Pol 2(2):28–60. https://doi.org/10.1257/pol.2.2.28

    Article  Google Scholar 

  32. Elfenbein DW, Fisman R, McManus B (2012) Charity as a substitute for reputation: evidence from an online marketplace. Rev Econ Stud 79(4):1441–1468. https://doi.org/10.1093/restud/rds012

    Article  Google Scholar 

  33. Elyakime B, Laffont JJ, Loisel P, Vuong Q (1994) First-price sealed-bid auctions with secret reservation prices. Annales D’Economie Et De Statistique 34:115–141

    Article  Google Scholar 

  34. Engelbrecht-Wiggans R, Haruvy E, Katok E (2007) A comparison of buyer-determined and price-based multi-attribute mechanisms. Mark Sci 26(5):629–641. https://doi.org/10.1287/mksc.1070.0281

    Article  Google Scholar 

  35. Engers M, McManus B (2007) Charity auctions. Int Econ Rev 48(3):953–994. https://doi.org/10.1111/j.1468-2354.2007.00451.x

    Article  Google Scholar 

  36. Evans KR, Beltramini RF (1987) A theoretical model of consumer negotiated pricing: an orientation perspective. J Mark 51(2):58–73. https://doi.org/10.2307/1251129

    Article  Google Scholar 

  37. Fay S (2004) Partial-repeat-bidding in the name-your-own-price channel. Mark Sci 23(3):407–418. https://doi.org/10.1287/mksc.1040.0062

    Article  Google Scholar 

  38. Fay S (2009) Competitive reasons for the name-your-own-price channel. Mark Lett 20(3):277–293. https://doi.org/10.1007/s11002-009-9070-9

    Article  Google Scholar 

  39. Fehr E, Schmidt KM (1999) A theory of fairness, competition, and cooperation. Q J Econ 114(3):817–868. https://doi.org/10.1162/003355399556151

    Article  Google Scholar 

  40. Försch S, Heise M, Skiera B (2017) The impact of floor prices in real-time online display advertising auctions on publisher’s profit. Working paper

    Google Scholar 

  41. Giving USA (2017) Total charitable donations rise to new high of $390.05 billion, posted on June 12, 2017 at 11:56 pm. Accessed 25 Sept 2017. https://givingusa.org/giving-usa-2017-total-charitable-donations-rise-to-new-high-of-390-05-billion/

  42. Gneezy U, Haruvy E, Roth AE (2003) Bargaining under a deadline: evidence from the reverse ultimatum game. Games Econ Behav 45(2):347–368. https://doi.org/10.1016/S0899-8256(03)00151-9

    Article  Google Scholar 

  43. Gneezy A, Gneezy U, Nelson LD, Brown A (2010) Shared social responsibility: a field experiment in pay-what-you-want pricing and charitable giving. Science 329(5989):325–327. https://doi.org/10.1126/science.1186744

    Article  Google Scholar 

  44. Gneezy A, Gneezy U, Riener G, Nelson LD (2012) Pay-what-you-want, identity, and self-signaling in markets. Proc Natl Acad Sci 109(19):7236–7240. https://doi.org/10.1073/pnas.1120893109

    Article  Google Scholar 

  45. Goeree JK, Maasland E, Onderstal S, Turner JL (2005) How (not) to raise money. J Polit Econ 113(4):897–926. https://doi.org/10.1086/431288

    Article  Google Scholar 

  46. Greenleaf EA, Sinha AR (1996) Combining buy-in penalties with commissions at auction houses. Manag Sci 42(4):529–540. https://doi.org/10.1287/mnsc.42.4.529

    Article  Google Scholar 

  47. Greenleaf EA, Ma J, Wanhua Q, Rao AG, Sinha AR (2002) Note on ‘guarantees in auctions: the auction house as negotiator and managerial decision maker’. Manag Sci 48(12):1640–1644. https://doi.org/10.1287/mnsc.48.12.1640.441

    Article  Google Scholar 

  48. Hann I-H, Terwiesch C (2003) Measuring the frictional costs of online transactions: the case of a name-your-own-price channel. Manag Sci 49(11):1563–1579. https://doi.org/10.1287/mnsc.49.11.1563.20586

    Article  Google Scholar 

  49. Haruvy E, Jap SD (2013) Differentiated bidders and bidding behavior in procurement auctions. J Mark Res 50(2):241–258. https://doi.org/10.1509/jmr.10.0036

    Article  Google Scholar 

  50. Haruvy E, Popkowski Leszczyc PTL (2009) Bidder motives in cause related auctions. Int J Res Mark 26(4):324–331. https://doi.org/10.1016/j.ijresmar.2009.07.001

    Article  Google Scholar 

  51. Haruvy E, Popkowski Leszczyc PTL (2010a) Search and choice in online auctions. Mark Sci 29(6):1152–1164. https://doi.org/10.1287/mksc.1100.0601

    Article  Google Scholar 

  52. Haruvy E, Popkowski Leszczyc PTL (2010b) The impact of online auction duration. Decis Anal 7(1):99–106. https://doi.org/10.1287/deca.1090.0149

    Article  Google Scholar 

  53. Haruvy E, Popkowski Leszczyc PTL (2016) A study of bidding behavior in voluntary-pay philanthropic auctions, working paper, University of Texas at Dallas

  54. Haruvy E, Popkowski Leszczyc PTL, Ma Y (2014) Does higher transparency lead to more search in online auctions. Prod Oper Manag 23(2):197–209. https://doi.org/10.1111/j.1937-5956.2012.01357.x

    Article  Google Scholar 

  55. Haruvy E, Katok E, Pavlov V (2016) Bargaining process and channel efficiency, working paper

  56. Häubl G, Popkowski Leszczyc PTL (2016) Bidding frenzy: speed of competitor reaction and willingness to pay in auctions, working paper, University of Alberta

  57. Haws KL, Bearden WO (2006) Dynamic pricing and consumer fairness perceptions. J Consum Res 33(3):304–311. https://doi.org/10.1086/508435

    Article  Google Scholar 

  58. He Y, Popkowski Leszczyc PTL (2013) The impact of jump bidding in online auctions. Mark Lett 24(4):387–397. https://doi.org/10.1007/s11002-013-9228-3

    Article  Google Scholar 

  59. Herschlag M, Zwick R (2000) Internet auctions: popular and professional literature review. Q J Electron Commer 1:161–186

    Google Scholar 

  60. Hinz O, Spann M (2008) The impact of information diffusion on bidding behavior in secret reserve price auctions. Inf Syst Res 19(3):351–368. https://doi.org/10.1287/isre.1080.0190

    Article  Google Scholar 

  61. Hinz O, Hann I-H, Spann M (2011) Price discrimination in e-commerce? An examination of dynamic pricing in name-your-own-price markets. MIS Q 35(1):81–98

    Article  Google Scholar 

  62. Huck S, Rasul I (2011) Matched fundraising: evidence from a natural field experiment. J Public Econ 95(5):351–362. https://doi.org/10.1016/j.jpubeco.2010.10.005

    Article  Google Scholar 

  63. Isaac RM, Walker JM (1988) Group size effects in public goods provision: the voluntary contributions mechanism. Q J Econ 103(1):179–199. https://doi.org/10.2307/1882648

    Article  Google Scholar 

  64. Jap SD (2003) An exploratory study of the introduction of online reverse auctions. J Mark 67(3):96–107. https://doi.org/10.1509/jmkg.67.3.96.18651

    Article  Google Scholar 

  65. Jap SD (2007) The impact of online reverse auction design on buyer–supplier relationships. J Mark 71(1):146–159

  66. Jap SD, Haruvy E (2008) Interorganizational relationships and bidding behavior in industrial online reverse auctions. J Mark Res 45(5):550–561. https://doi.org/10.1509/jmkr.45.5.550

    Article  Google Scholar 

  67. Kagel J, Levin D (1986) The winner’s curse and public information in common value auctions. Am Econ Rev 76(5):894–920

    Google Scholar 

  68. Katkar R, Reiley DH (2006) Public versus secret reserve prices in eBay auctions: results from a Pokémon field experiment. Adv Econ Anal Policy 6(2):Article 7

    Google Scholar 

  69. Kim J, Che YK (2004) Asymmetric information about rivals’ types in standard auctions. Games and Economic Behavior 46(2):383–397

  70. Kim J-Y, Natter M, Spann M (2009) Pay what you want: a new participative pricing mechanism. J Mark 73(1):44–58. https://doi.org/10.1509/jmkg.73.1.44

    Article  Google Scholar 

  71. Kim J-Y, Natter M, Spann M (2010) Kish: where customers pay as they wish. Rev Mark Sci 8:Article 3

    Google Scholar 

  72. Kim J-Y, Brünner T, Skiera B, Natter M (2014) A comparison of different pay-per-bid auction formats. Int J Res Mark 31(4):368–379. https://doi.org/10.1016/j.ijresmar.2014.04.003

    Article  Google Scholar 

  73. Koschate-Fischer N, Stefan IV, Hoyer WD (2012) Willingness to pay for cause-related marketing: the impact of donation amount and moderating effects. J Mark Res 49(6):910–927. https://doi.org/10.1509/jmr.10.0511

    Article  Google Scholar 

  74. Krämer F, Schmidt KM, Spann M, Stich L (2017) Delegating pricing power to customers: pay what you want or name your own price? J Econ Behav Organ 136:125–140. https://doi.org/10.1016/j.jebo.2017.01.019

    Article  Google Scholar 

  75. Ku G, Malhotra D, Murnighan JK (2005) Towards a competitive arousal model of decision-making: a study of auction fever in live and Internet auctions. Organ Behav Hum Decis Process 96(2):89–103. https://doi.org/10.1016/j.obhdp.2004.10.001

    Article  Google Scholar 

  76. Kunter M (2015) Exploring the pay-what-you-want payment motivation. J Bus Res 68(11):2347–2357. https://doi.org/10.1016/j.jbusres.2015.03.044

    Article  Google Scholar 

  77. Lee MY, Kim YK, Fairhurst A (2009) Shopping value in online auctions: their antecedents and outcomes. J Retail Consum Serv 16(1):75–82

  78. Lee K-C, Jalali A, Dasdan A (2013) Real time bid optimization with smooth budget delivery in online advertising. Proceedings of the 19th ACM Conference on Knowledge Discovery and Data Mining (KDD'13)

  79. Lim B, Haruvy E, Popkowksi Leszczyc PTL (2016) On the value of added surcharge, working paper, UT-Dallas

  80. Lu Y, Gupta A, Ketter W, van Heck E (2013) Exploring bidder heterogeneity in multichannel sequential B2B auctions. MIS Q 40(3):645–662

    Article  Google Scholar 

  81. Lu Y, Gupta, A, Ketter W, van Heck E. (2017) Information Transparency in B2B Auction Markets: The Role of Winner Identity Disclosure. Available at SSRN: https://doi.org/10.2139/ssrn.2949785

  82. Lucking-Reiley D, Spulber DF (2001) Business-to-business electronic commerce. J Econ Perspect 15(1):55–68. https://doi.org/10.1257/jep.15.1.55

    Article  Google Scholar 

  83. Mak V, Zwick R, Rao AR, Pattaratanakun JA (2015) Pay what you want as threshold public good provision. Organ Behav Hum Decis Process 127:30–43. https://doi.org/10.1016/j.obhdp.2014.11.004

    Article  Google Scholar 

  84. Masclet D, Noussair C, Tucker S, Villeval MC (2003) Monetary and nonmonetary punishment in the voluntary contributions mechanism. Am Econ Rev 93(1):366–380. https://doi.org/10.1257/000282803321455359

    Article  Google Scholar 

  85. Mayer A (1987) Military procurements: basic principles and recent developments. George Wash J Int Law Econ 21:165–187

    Google Scholar 

  86. Murnighan JK (2002) A very extreme case of the dollar auction. J Manag Educ 26(1):56–69. https://doi.org/10.1177/105256290202600105

    Article  Google Scholar 

  87. Natter M, Kaufmann K (2015) Voluntary market payments: underlying motives, success drivers and success potentials. J Behav Exp Econ 57:149–157. https://doi.org/10.1016/j.socec.2015.05.008

    Article  Google Scholar 

  88. Pilehvar A, Elmaghraby WJ, Gopal A (2016) Market information and bidder heterogeneity in secondary market online B2B auctions. Manag Sci 63:1493–1518

    Article  Google Scholar 

  89. Pinker EJ, Seidmann A, Vakrat Y (2003) Managing online auctions: current business and research issues. Manag Sci 49(11):1454–1484

    Article  Google Scholar 

  90. Platt BC, Price J, Tappen H (2013) The role of risk preferences in pay-to-bid auctions. Manag Sci 59(9):2117–2134. https://doi.org/10.1287/mnsc.1120.1666

    Article  Google Scholar 

  91. Popkowski Leszczyc PTL, Häubl G (2010) To bundle or not to bundle: determinants of the profitability of multi-item auctions. J Mark 74(4):110–124. https://doi.org/10.1509/jmkg.74.4.110

    Article  Google Scholar 

  92. Popkowski Leszczyc PTL, Rothkopf MH (2010) Charitable motives and bidding in charity auctions. Manag Sci 56(3):399–413. https://doi.org/10.1287/mnsc.1090.1120

    Article  Google Scholar 

  93. Popkowski Leszczyc PTL, Qiu C, Li S, Rothkopf MH (2015) Bidding behaviors in charity auctions. Mark Lett 26(1):17–28. https://doi.org/10.1007/s11002-013-9264-z

    Article  Google Scholar 

  94. Regner T, Barria JA (2009) Do consumers pay voluntarily? The case of online music. J Econ Behav Organ 71(2):395–406. https://doi.org/10.1016/j.jebo.2009.04.001

    Article  Google Scholar 

  95. Riordan MH, Sappington DEM (1987) Awarding monopoly franchises. Am Econ Rev 77(3):375–387

    Google Scholar 

  96. Schmidt KM, Spann M, Zeithammer R (2015) Pay what you want as a marketing strategy in monopolistic and competitive markets. Manag Sci 61(6):1217–1236. https://doi.org/10.1287/mnsc.2014.1946

    Article  Google Scholar 

  97. Shang J, Croson R (2009) A field experiment in charitable contribution: the impact of social information on the voluntary provision of public goods. Econ J 119(540):1422–1439. https://doi.org/10.1111/j.1468-0297.2009.02267.x

    Article  Google Scholar 

  98. Shapiro D (2011) Profitability of the name-your-own-price channel in the case of risk-averse buyers. Mark Sci 30(2):290–304. https://doi.org/10.1287/mksc.1100.0622

    Article  Google Scholar 

  99. Shapiro D, Zillante A (2009) Name your own price mechanisms: revenue gain or drain? J Econ Behav Organ 72(2):725–737. https://doi.org/10.1016/j.jebo.2009.07.012

    Article  Google Scholar 

  100. Spann M, Tellis GJ (2006) Does the internet promote better consumer decisions? The case of name-your-own-price auctions. J Mark 70(1):65–78. https://doi.org/10.1509/jmkg.2006.70.1.65

    Article  Google Scholar 

  101. Spann M, Skiera B, Schäfers B (2004) Measuring individual frictional costs and willingness-to-pay via name-your-own-price mechanisms. J Interact Mark 18(4):22–36. https://doi.org/10.1002/dir.20022

    Article  Google Scholar 

  102. Spann M, Zeithammer R, Häubl G (2010) Optimal reverse-pricing mechanisms. Mark Sci 29(6):1058–1070. https://doi.org/10.1287/mksc.1100.0577

    Article  Google Scholar 

  103. Spann M, Häubl G, Skiera B, Bernhardt M (2012) Bid-elicitation interfaces and bidding behavior in retail interactive pricing. J Retail 88(1):131–144. https://doi.org/10.1016/j.jretai.2011.06.001

    Article  Google Scholar 

  104. Spann M, Stich L, Schmidt KM (2017) Pay what you want as a pricing model for open access publishing? Communications of the ACM 60(11):29–31. https://dx.doi.org/10.1145/3140822

  105. Stafford MR, Stern B (2002) Consumer bidding behavior on internet auction sites. Int J Electron Commer 7:135–150

    Article  Google Scholar 

  106. Terwiesch C, Savin S, Hann I-H (2005) Online haggling and price-discrimination in a name-your-own-price channel. Manag Sci 51(3):339–351. https://doi.org/10.1287/mnsc.1040.0337

    Article  Google Scholar 

  107. Thomas M, Kyung EJ (2017) How slider scales systematically bias willingness-to-pay: implicit recalibration of monetary magnitudes. Working paper, Cornell University

  108. Tunca TI, Wu Q (2009) Multiple sourcing and procurement process selection with bidding events. Manag Sci 55(5):763–780. https://doi.org/10.1287/mnsc.1080.0972

    Article  Google Scholar 

  109. Varian HR, Harris C (2014) Market design for auction markets. The VG auction in theory and practice. Am Econ Rev Pap Proc 104(5):442–445. https://doi.org/10.1257/aer.104.5.442

    Article  Google Scholar 

  110. Vincent DR (1995) Bidding off the wall: why reserve prices may be kept secret. J Econ Theory 65(2):575–584. https://doi.org/10.1006/jeth.1995.1021

    Article  Google Scholar 

  111. Wang T, Gal-Or E, Chatterjee R (2009) The name-your-own-price channel in the travel industry: an analytical exploration. Manag Sci 55(6):968–979. https://doi.org/10.1287/mnsc.1090.1007

    Article  Google Scholar 

  112. Wathieu L, Brenner L, Carmon Z, Chattopadhyay A, Wertenbroch K, Drolet A, Gourville J, Muthukrishnan AV, Novemsky N, Ratner RK, Wu G (2002) Consumer control and empowerment: a primer. Mark Lett 13(3):297–305. https://doi.org/10.1023/A:1020311914022

    Article  Google Scholar 

  113. Zeithammer R (2006) Forward-looking bidding in online auctions. J Mark Res 43(3):462–476. https://doi.org/10.1509/jmkr.43.3.462

    Article  Google Scholar 

  114. Zeithammer R (2007a) Strategic bid-shading and sequential auctioning with learning from past prices. Manag Sci 53(9):1510–1519. https://doi.org/10.1287/mnsc.1070.0691

    Article  Google Scholar 

  115. Zeithammer R (2007b) Optimal selling in dynamic auctions: adaptation versus commitment. Mark Sci 26(6):859–867. https://doi.org/10.1287/mksc.1070.0269

    Article  Google Scholar 

  116. Zeithammer R (2015) Optimal selling strategies when buyers name their own prices. Quant Mark Econ 13(2):135–171. https://doi.org/10.1007/s11129-015-9157-y

    Article  Google Scholar 

  117. Zeithammer R (2016) The futility of soft floor auctions. Working paper

    Google Scholar 

  118. Zeithammer R, Adams C (2010) The sealed-bid abstraction in online auctions. Mark Sci 29(6):964–987. https://doi.org/10.1287/mksc.1100.0561

    Article  Google Scholar 

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Authors and Affiliations

  1. Ludwig-Maximilians-Universität München (LMU Munich), Geschwister-Scholl-Platz 1, 80539, Munich, Germany

    Martin Spann

  2. University of California, Los Angeles, Los Angeles, CA, 90095, USA

    Robert Zeithammer

  3. ESADE, Avinguda de la Torre Blanca 59, 08172, Sant Cugat del Vallès, Spain

    Marco Bertini

  4. University of Texas at Dallas, 800 W Campbell Rd, Richardson, TX, 75080, USA

    Ernan Haruvy

  5. Emory University, 1300 Clifton Road, Atlanta, GA, 30322, USA

    Sandy D. Jap

  6. London Business School, Regent’s Park, London, NW1 4SA, United Kingdom

    Oded Koenigsberg

  7. Cambridge Judge Business School, University of Cambridge, Trumpington Street, Cambridge, CB2 1AG, United Kingdom

    Vincent Mak

  8. University of Alberta, 4-20F School of Business, Edmonton, AB, T6G 2R3, Canada

    Peter Popkowski Leszczyc

  9. Goethe University Frankfurt, Theodor-W.-Adorno-Platz 4, 60323, Frankfurt, Germany

    Bernd Skiera

  10. Cornell University, Ithaca, NY, 14850, USA

    Manoj Thomas

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  1. Martin Spann
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  2. Robert Zeithammer
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  3. Marco Bertini
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  4. Ernan Haruvy
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  5. Sandy D. Jap
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  6. Oded Koenigsberg
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  7. Vincent Mak
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  8. Peter Popkowski Leszczyc
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  9. Bernd Skiera
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  10. Manoj Thomas
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Corresponding author

Correspondence to Martin Spann.

Additional information

Based on the Session “Beyond Posted Prices: Customer-Driven Pricing Mechanisms” at the 10th Choice Symposium

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Spann, M., Zeithammer, R., Bertini, M. et al. Beyond Posted Prices: the Past, Present, and Future of Participative Pricing Mechanisms. Cust. Need. and Solut. 5, 121–136 (2018). https://doi.org/10.1007/s40547-017-0082-y

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