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Bundling Decisions for Selling Multiple Items in Online Auctions

Author

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  • Yeu-Shiang Huang

    (Department of Industrial and Information Management, Center for Innovative FinTech Business Models, National Cheng Kung University, Tainan 70101, Taiwan)

  • Min-Sheng Yang

    (Department of Industrial and Information Management, National Cheng Kung University, Tainan 70101, Taiwan)

  • Jyh-Wen Ho

    (Department of Industrial Management and Enterprise Information, Aletheia University, New Taipei City 251, Taiwan)

Abstract

Fueled by the widespread use of the internet, more and more ordinary people have now become merchandise sellers who sell their own possessions, such as antique collections and limited souvenirs, to buyers who are interested in such goods via online auctions. This study examines the decision making related to the bidding strategies used in online auctions by both sellers and buyers. When selling goods for which there is a limited supply, sellers consider whether to sell the single homogenous items in multiple, simultaneous auctions or all the items in a single auction. Moreover, when selling heterogeneous but associated goods, sellers may decide to bundle the items for sale or not with an aim of increasing the potential buyers’ willingness to make a purchase. We investigate the effects that various factors related to the bidding strategies used in online auctions, such as the base price and duration of the auction determined by the seller and the bidding price decided by the buyer, have on the seller’s profit, and the utilities of both parties are considered to derive the equilibrium solutions. This study contributes to the literature by proposing an online auction framework that focuses more on individual sellers selling a limited quantity of items with an aim to establish a favorable online auction for both sellers and buyers and earn more profits for sellers. The results show that the base prices and direct purchase prices should be unestablished to achieve the most attractive characteristics of online auctions, which would encourage more buyers to freely place bids. As a result, the bidding items would have more chances to be eventually obtained by the buyer who places the highest bid, which, thus, maximizes the seller’s profit.

Suggested Citation

  • 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.
    • Handle: RePEc:inm:ordeca:v:19:y:2022:i:1:p:44-62
    DOI: 10.1287/deca.2021.0440
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    as
    1. Onesun Steve Yoo & Kevin McCardle, 2020. "The Valuator’s Curse: Decision Analysis of Overvaluation and Disappointment in Acquisition," Decision Analysis, INFORMS, vol. 17(4), pages 299-313, December.
    2. Gérard P. Cachon & Christian Terwiesch & Yi Xu, 2008. "On the Effects of Consumer Search and Firm Entry in a Multiproduct Competitive Market," Marketing Science, INFORMS, vol. 27(3), pages 461-473, 05-06.
    3. Babak Jafarizadeh & Reidar B. Bratvold, 2021. "Project Valuation: Price Forecasts Bound to Discount Rates," Decision Analysis, INFORMS, vol. 18(2), pages 139-152, June.
    4. Ravi Bapna & Paulo Goes & Alok Gupta, 2003. "Analysis and Design of Business-to-Consumer Online Auctions," Management Science, INFORMS, vol. 49(1), pages 85-101, January.
    5. Jehiel, Philippe & Meyer-ter-Vehn, Moritz & Moldovanu, Benny, 2007. "Mixed bundling auctions," Journal of Economic Theory, Elsevier, vol. 134(1), pages 494-512, May.
    6. Chenghuan Sean Chu & Phillip Leslie & Alan Sorensen, 2011. "Bundle-Size Pricing as an Approximation to Mixed Bundling," American Economic Review, American Economic Association, vol. 101(1), pages 263-303, February.
    7. Malik, Komal & Mishra, Debasis, 2021. "Pareto efficient combinatorial auctions: Dichotomous preferences without quasilinearity," Journal of Economic Theory, Elsevier, vol. 191(C).
    8. Alvin E. Roth & Axel Ockenfels, 2002. "Last-Minute Bidding and the Rules for Ending Second-Price Auctions: Evidence from eBay and Amazon Auctions on the Internet," American Economic Review, American Economic Association, vol. 92(4), pages 1093-1103, September.
    9. Jean-Pierre Benoît & Vijay Krishna, 2001. "Multiple-Object Auctions with Budget Constrained Bidders," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 68(1), pages 155-179.
    10. Popkowski Leszczyc, Peter T.L. & Qiu, Chun & He, Yongfu, 2009. "Empirical Testing of the Reference-Price Effect of Buy-Now Prices in Internet Auctions," Journal of Retailing, Elsevier, vol. 85(2), pages 211-221.
    11. Jérémie Gallien & Shobhit Gupta, 2007. "Temporary and Permanent Buyout Prices in Online Auctions," Management Science, INFORMS, vol. 53(5), pages 814-833, May.
    12. Yuanchun Jiang & Jennifer Shang & Chris F. Kemerer & Yezheng Liu, 2011. "Optimizing E-tailer Profits and Customer Savings: Pricing Multistage Customized Online Bundles," Marketing Science, INFORMS, vol. 30(4), pages 737-752, July.
    13. Lorin M. Hitt & Pei-yu Chen, 2005. "Bundling with Customer Self-Selection: A Simple Approach to Bundling Low-Marginal-Cost Goods," Management Science, INFORMS, vol. 51(10), pages 1481-1493, October.
    14. Bahbouhi, Jalal Eddine & Moussa, Najem, 2017. "Prisoner’s dilemma game model for e-commerce," Applied Mathematics and Computation, Elsevier, vol. 292(C), pages 128-144.
    15. Utpal M. Dholakia & Itamar Simonson, 2005. "The Effect of Explicit Reference Points on Consumer Choice and Online Bidding Behavior," Marketing Science, INFORMS, vol. 24(2), pages 206-217, October.
    16. Lee, Hsiao-Ching & Tsai, Dung Chun & Wu, Ming-De, 2011. "The dilemma of mixed bundles: The effects of price, brand, and content preference on music CD bundle choices," Journal of Retailing and Consumer Services, Elsevier, vol. 18(5), pages 455-462.
    17. René Caldentey & Gustavo Vulcano, 2007. "Online Auction and List Price Revenue Management," Management Science, INFORMS, vol. 53(5), pages 795-813, May.
    18. Hila Etzion & Edieal Pinker & Abraham Seidmann, 2006. "Analyzing the Simultaneous Use of Auctions and Posted Prices for Online Selling," Manufacturing & Service Operations Management, INFORMS, vol. 8(1), pages 68-91, March.
    19. Gediminas Adomavicius & Shawn P. Curley & Alok Gupta & Pallab Sanyal, 2012. "Effect of Information Feedback on Bidder Behavior in Continuous Combinatorial Auctions," Management Science, INFORMS, vol. 58(4), pages 811-830, April.
    20. Milgrom, Paul & Mollner, Joshua, 2021. "Extended proper equilibrium," Journal of Economic Theory, Elsevier, vol. 194(C).
    21. William Vickrey, 1961. "Counterspeculation, Auctions, And Competitive Sealed Tenders," Journal of Finance, American Finance Association, vol. 16(1), pages 8-37, March.
    22. Christopher Avery & Terrence Hendershott, 2000. "Bundling and Optimal Auctions of Multiple Products," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 67(3), pages 483-497.
    23. Mankila, Merja, 2004. "Retaining students in retail banking through price bundling: Evidence from the Swedish market," European Journal of Operational Research, Elsevier, vol. 155(2), pages 299-316, June.
    24. Popkowski Leszczyc, Peter T.L. & Pracejus, John W. & Shen, Yingtao, 2008. "Why more can be less: An inference-based explanation for hyper-subadditivity in bundle valuation," Organizational Behavior and Human Decision Processes, Elsevier, vol. 105(2), pages 233-246, March.
    25. Eric T. Bradlow & Young-Hoon Park, 2007. "Bayesian Estimation of Bid Sequences in Internet Auctions Using a Generalized Record-Breaking Model," Marketing Science, INFORMS, vol. 26(2), pages 218-229, 03-04.
    26. Janne Gustafsson, 2020. "Valuation of Research and Development Projects Using Buying and Selling Prices: Generalized Definitions," Decision Analysis, INFORMS, vol. 17(2), pages 154-168, June.
    27. Chakraborty, Indranil, 2006. "Bundle and separate sales in auctions with entry," Games and Economic Behavior, Elsevier, vol. 54(1), pages 31-46, January.
    28. Gansterer, Margaretha & Hartl, Richard F. & Sörensen, Kenneth, 2020. "Pushing frontiers in auction-based transport collaborations," Omega, Elsevier, vol. 94(C).
    29. Ramanathan Subramaniam & R. Venkatesh, 2009. "Optimal Bundling Strategies in Multiobject Auctions of Complements or Substitutes," Marketing Science, INFORMS, vol. 28(2), pages 264-273, 03-04.
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