Analysis and Design of Business-to-Consumer Online Auctions

Citations

Cited by:

1. Ravi Bapna & Paulo Goes & Alok Gupta & Gilbert Karuga, 2008. "Predicting Bidders' Willingness to Pay in Online Multiunit Ascending Auctions: Analytical and Empirical Insights," INFORMS Journal on Computing, INFORMS, vol. 20(3), pages 345-355, August.
2. David Pardoe & Peter Stone & Maytal Saar-Tsechansky & Tayfun Keskin & Kerem Tomak, 2010. "Adaptive Auction Mechanism Design and the Incorporation of Prior Knowledge," INFORMS Journal on Computing, INFORMS, vol. 22(3), pages 353-370, August.
3. Vadovič, Radovan, 2017. "Bidding behavior and price search in Internet auctions," International Journal of Industrial Organization, Elsevier, vol. 54(C), pages 125-147.
4. Janne Tukiainen, 2017. "Effects of Minimum Bid Increments in Internet Auctions: Evidence from a Field Experiment," Journal of Industrial Economics, Wiley Blackwell, vol. 65(3), pages 597-622, September.
   • Tukiainen, Janne, 2013. "Effects of minimum bid increment in internet auctions: Evidence from a field experiment," Working Papers 44, VATT Institute for Economic Research.
5. Jiayu Yao & Mingfeng Lin & D. J. Wu, 2025. "Revealed Wisdom of the Crowd: Bids Predict Loan Quality," Management Science, INFORMS, vol. 71(10), pages 8127-8148, October.
6. Jason Kuruzovich & Siva Viswanathan & Ritu Agarwal, 2010. "Seller Search and Market Outcomes in Online Auctions," Management Science, INFORMS, vol. 56(10), pages 1702-1717, October.
7. Bernhardt, Martin & Spann, Martin, 2010. "An Empirical Analysis of Bidding Fees in Name-your-own-price Auctions," Journal of Interactive Marketing, Elsevier, vol. 24(4), pages 283-296.
8. Ravi Bapna & Paulo Goes & Alok Gupta, 2003. "Replicating Online Yankee Auctions to Analyze Auctioneers' and Bidders' Strategies," Information Systems Research, INFORMS, vol. 14(3), pages 244-268, September.
9. Ravi Bapna & Paulo Goes & Alok Gupta, 2005. "Pricing and Allocation for Quality-Differentiated Online Services," Management Science, INFORMS, vol. 51(7), pages 1141-1150, July.
10. Hur, Daesik & Mabert, Vincent A. & Hartley, Janet L., 2007. "Getting the most out of reverse e-auction investment," Omega, Elsevier, vol. 35(4), pages 403-416, August.
11. Chen, Xi & Ghate, Archis & Tripathi, Arvind, 2011. "Dynamic lot-sizing in sequential online retail auctions," European Journal of Operational Research, Elsevier, vol. 215(1), pages 257-267, November.
12. Mochen Yang & Gediminas Adomavicius & Alok Gupta, 2019. "Efficient Computational Strategies for Dynamic Inventory Liquidation," Information Systems Research, INFORMS, vol. 30(2), pages 595-615, June.
13. Micha Kahlen & Karsten Schroer & Wolfgang Ketter & Alok Gupta, 2024. "Smart Markets for Real-Time Allocation of Multiproduct Resources: The Case of Shared Electric Vehicles," Information Systems Research, INFORMS, vol. 35(2), pages 871-889, June.
14. Cong Feng & Scott Fay & K. Sivakumar, 2016. "Overbidding in electronic auctions: factors influencing the propensity to overbid and the magnitude of overbidding," Journal of the Academy of Marketing Science, Springer, vol. 44(2), pages 241-260, March.
15. Ernan Haruvy & Meisam Hejazi Nia & Özalp Özer & A. Serdar Şimşek, 2023. "The Winner’s Curse in Dynamic Forecasting of Auction Data: Empirical Evidence from eBay," Manufacturing & Service Operations Management, INFORMS, vol. 25(3), pages 1155-1175, May.
16. Alok Gupta & Stephen Parente & Pallab Sanyal, 2012. "Competitive bidding for health insurance contracts: lessons from the online HMO auctions," International Journal of Health Economics and Management, Springer, vol. 12(4), pages 303-322, December.
17. Vidyanand Choudhary & Shivendu Shivendu, 2017. "Targeted Couponing in Online Auctions," Information Systems Research, INFORMS, vol. 28(3), pages 490-510, September.
18. Rajiv D. Banker & Robert J. Kauffman, 2004. "50th Anniversary Article: The Evolution of Research on Information Systems: A Fiftieth-Year Survey of the Literature in Management Science," Management Science, INFORMS, vol. 50(3), pages 281-298, March.
19. John Aloysius & Cary Deck & Amy Farmer, 2013. "Sequential Pricing of Multiple Products: Leveraging Revealed Preferences of Retail Customers Online and with Auto-ID Technologies," Information Systems Research, INFORMS, vol. 24(2), pages 372-393, June.
20. Ke, Da & Li, Xuan & Zheng, Qing, 2025. "Role of value signals in information asymmetry markets," Finance Research Letters, Elsevier, vol. 72(C).
21. Jiang, Zhong-Zhong & Fang, Shu-Cherng & Fan, Zhi-Ping & Wang, Dingwei, 2013. "Selecting optimal selling format of a product in B2C online auctions with boundedly rational customers," European Journal of Operational Research, Elsevier, vol. 226(1), pages 139-153.
22. Weinberg, Bruce D. & Davis, Lenita, 2005. "Exploring the WOW in online-auction feedback," Journal of Business Research, Elsevier, vol. 58(11), pages 1609-1621, November.
23. Yeu-Shiang Huang & Min-Sheng Yang & Jyh-Wen Ho, 2022. "Bundling Decisions for Selling Multiple Items in Online Auctions," Decision Analysis, INFORMS, vol. 19(1), pages 44-62, March.
24. Gediminas Adomavicius & Alok Gupta & Dmitry Zhdanov, 2009. "Designing Intelligent Software Agents for Auctions with Limited Information Feedback," Information Systems Research, INFORMS, vol. 20(4), pages 507-526, December.
25. Spann, Martin & Häubl, Gerald & Skiera, Bernd & Bernhardt, Martin, 2012. "Bid-Elicitation Interfaces and Bidding Behavior in Retail Interactive Pricing," Journal of Retailing, Elsevier, vol. 88(1), pages 131-144.
26. Kai Lu & Zaiyan Wei & Tat Y. Chan, 2022. "Information Asymmetry Among Investors and Strategic Bidding in Peer-to-Peer Lending," Information Systems Research, INFORMS, vol. 33(3), pages 824-845, September.