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Bundling Decisions for Selling Multiple Items in Online Auctions

Published: 01 March 2022 Publication History

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.

References

[1]
Adomavicius G, Curley SP, Gupta A, Sanyal P (2012) Effect of information feedback on bidder behavior in continuous combinatorial auctions. Management Sci. 58(4):811–830.
[2]
Aggarwal A, Kumar N, Vidyarthi DP, Buyya R (2021) Fog-integrated cloud architecture enabled multi-attribute combinatorial reverse auctioning framework. Simulation Model. Practice Theory 109:102307.
[3]
Allen TT, Hernandez OK, Alomair A (2020) Optimal off-line experimentation for games. Decision Anal. 17(4):277–298.
[4]
Aloysius J, Deck C, Farmer A (2012) A comparison of bundling and sequential pricing in competitive markets: Experimental evidence. Internat. J. Econom. Bus. 19(1):25–51.
[5]
Ariely D, Simonson I (2003) Buying, bidding, playing, or competing? Value assessment and decision dynamics in online auctions. J. Consumer Psych. 13(1–2):113–123.
[6]
Avery C, Hendershott T (2000) Bundling and optimal auctions of multiple products. Rev. Econom. Stud. 67(3):483–497.
[7]
Avni G, Henzinger TA, Žikelić Đ (2021) Bidding mechanisms in graph games. J. Comput. System Sci. 119(8):133–144.
[8]
Bahbouhi JE, Moussa N (2017) Prisoner’s dilemma game model for e-commerce. Appl. Math. Comput. 292(1):128–144.
[9]
Bajari P, Hortacsu A (2004) Economic insights from internet auctions. J. Econom. Literature 42(2):457–486.
[10]
Baker T, Murthy NN (2002) A framework for estimating benefits of using auctions in revenue management. Decision Sci. 33(3):385–413.
[11]
Bakos Y, Brynjolfsson E (2000) Bundle and competition on the internet. Marketing Sci. 19(1):63–82.
[12]
Balachander S, Ghosh B, Stock A (2010) Why bundle discounts can be a profitable alternative to competing on price promotions. Marketing Sci. 29(4):624–638.
[13]
Bapna R, Goes P, Gupta A (2003) Analysis and design of business-to-consumer online auctions. Management Sci. 49(1):85–101.
[14]
Bapna R, Chang SA, Goes P, Gupta A (2009) Overlapping online auctions: Empirical characterization of bidder strategies and auction prices. Management Inform. Systems Quart. 33(4):763–783.
[15]
Bapna R, Goes P, Gupta A, Jin Y (2004) User heterogeneity and its impact on electronic auction market design: An empirical exploration. Management Inform. Systems Quart. 28(1):21–43.
[16]
Benoit JP, Krishna V (2001) Multiple-object auctions with budget constrained bidders. Rev. Econom. Stud. 68(1):155–179.
[17]
Bitran GR, Ferrer JC (2007) On pricing and composition of bundles. Production Oper. Management 16(1):93–108.
[18]
Bradlow ET, Park YH (2007) Bayesian estimation of bid sequences in internet auction using a generalized record-breaking model. Marketing Sci. 26(2):218–229.
[19]
Cachon GP, Terwiesch C, Xu Y (2008) On the effects of consumer search and firm entry in a multiproduct competitive market. Marketing Sci. 27(3):461–473.
[20]
Caldentey R, Vulcano G (2007) Online auction and list price revenue management. Management Sci. 53(5):795–813.
[21]
Chakraborty I (2000) Bundling decisions for selling multiple objects. Econom. Theory 13:723–733.
[22]
Chakraborty I (2006) Bundle and separate sales in auctions with entry. Games Econom. Behav. 54(1):31–46.
[23]
Chan TY, Kadiyali V, Park YH (2007) Willingness to pay and competition in online auctions. J. Marketing Res. 44(2):324–333.
[24]
Chu CS, Leslie P, Sorensen A (2011) Bundle-size pricing as an approximation to mixed bundling. Amer. Econom. Rev. 101(1):263–303.
[25]
Dholakia UM, Simonson I (2005) The effect of explicit reference points on consumer choice and online bidding behavior. Marketing Sci. 24(2):206–217.
[26]
Etzion H, Pinker E, Seidmann A (2006) Analyzing the simultaneous use of auctions and posted prices for online selling. Manufacturing Service Oper. Management 8(1):68–91.
[27]
Gallien J, Gupta S (2007) Temporary and permanent buyout prices in online auctions. Management Sci. 53(5):814–833.
[28]
Gansterer M, Hartl RF, Sörensen K (2020) Pushing frontiers in auction-based transport collaborations. Omega. 94:102042.
[29]
Gustafsson J (2020) Valuation of research and development projects using buying and selling prices: Generalized definitions. Decision Anal. 17(2):154–168.
[30]
Hitt LM, Chen PY (2005) Bundling with customer self-selection: A simple approach to bundling low-marginal-cost goods. Management Sci. 51(10):1481–1493.
[31]
Jafarizadeh B, Bratvold RB (2021) Project valuation: Price forecasts bound to discount rates. Decision Anal. 18(2):139–152.
[32]
Jehiel P, Meyer-ter-Vehn M, Moldovanu B (2007) Mixed bundling auctions. J. Econom. Theory 134(1):494–512.
[33]
Jiang Y, Shang J, Kemerer CF, Liu Y (2011) Optimizing e-tailer profits and customer savings: Pricing multistage customized online bundles. Marketing Sci. 30(4):737–752.
[34]
Khan U, Dhar R (2010) Price-framing effects on the purchase of hedonic and utilitarian bundles. J. Marketing Res. 47(6):1090–1099.
[35]
Lee HC, Tsai DC, Wu MD (2011) The dilemma of mixed bundles: The effects of price, brand and content preference on music CD bundle choices. J. Retailing Consumer Service 18(5):455–462.
[36]
Malik K, Mishra D (2021) Pareto efficient combinatorial auctions: Dichotomous preferences without quasilinearity. J. Econom. Theory 191:105128.
[37]
Mankila M (2004) Retaining students in retail banking through price bundling: Evidence from the Swedish market. Eur. J. Oper. Res. 155(2):299–316.
[38]
Milgrom P, Mollner J (2021) Extended proper equilibrium. J. Econom. Theory 194:105258.
[39]
Özer Ö, Phillips R (2012) Pricing fundamentals. Özer Ö, Phillips R, eds. The Oxford Handbook of Pricing Management (Oxford University Press, Oxford, UK).
[40]
Popkowski Leszczyc PTL, Häubl G (2010) To bundle or not to bundle: Determinants of the profitability of multi-item auctions. J. Marketing 74(4):110–124.
[41]
Popkowski Leszczyc PTL, Pracejus JW, Shen Y (2008) Why more can be less: An inference-based explanation for hyper-subadditivity in bundle valuation. Organ. Behav. Human Decision Processes 105(2):233–246.
[42]
Popkowski Leszczyc PT, Qiu C, He Y (2009) Empirical testing of the reference-price effect of buy-now prices in internet auctions. J. Retailing 85(2):211–221.
[43]
Rhuggenaath J, Afshar RR, Akcay A, Zhang Y, Kaymak U, Çolak F, Tanyerli M (2021) Maximizing revenue for publishers using header bidding and ad exchange auctions. Oper. Res. Lett. 49(2):250–256.
[44]
Roth AE, Ockenfels A (2002) Last minute bidding and the rules for ending second price auctions: Evidence from eBay and Amazon auctions on the internet. Amer. Econom. Rev. 92(4):1093–1103.
[45]
Shin J, Sudhir K, Yoon DH (2012) When to “fire” customers: Customer cost-based pricing. Management Sci. 58(5):932–947.
[46]
Shmueli G, Russo R, Jank W (2007) Modeling bid arrivals in online auctions. Ann. Appl. Statist. 1(2):412–441.
[47]
Singhal R, Singhal A (2021) A feedback-based combinatorial fair economical double auction resource allocation model for cloud computing. Future Generation Comput. Systems 115:780–797.
[48]
Spann M, Tellis G (2006) Does the internet promote better consumer decisions? The case of name-your-own-price auctions. J. Marketing 70(1):65–78.
[49]
Stremersch S, Tellism GJ (2002) Strategic bundling of products and prices: A new synthesis for marketing. J. Marketing 66(1):55–72.
[50]
Subramaniam R, Venkatesh R (2009) Optimal bundling strategies in multiobject auctions of complements or substitutes. Marketing Sci. 28(2):264–273.
[51]
Terán J, Aguilar J, Cerrada M (2017) Integration in industrial automation based on multi-agent systems using cultural algorithms for optimizing the coordination mechanisms. Comput. Indust. 91:11–23.
[52]
Vickrey W (1961) Counter-speculation, auctions and competitive sealed tenders. J. Finance 16(1):8–37.
[53]
Xiong W, Xiong L (2021) Anti-collusion data auction mechanism based on smart contract. Inform. Sci. 555(1):386–409.
[54]
Yoo OS, McCardle K (2020) The valuator’s curse: Decision analysis of overvaluation and disappointment in acquisition. Decision Anal. 17(4):299–313.
[55]
Zeithammer R (2006) Forward-looking bidding in online auctions. J. Marketing Res. 43(3):462–476.

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  1. Bundling Decisions for Selling Multiple Items in Online Auctions
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                Published In

                cover image Decision Analysis
                Decision Analysis  Volume 19, Issue 1
                March 2022
                79 pages
                ISSN:1545-8490
                DOI:10.1287/deca.2022.19.issue-1
                Issue’s Table of Contents

                Publisher

                INFORMS

                Linthicum, MD, United States

                Publication History

                Published: 01 March 2022
                Accepted: 29 July 2021
                Received: 20 October 2020

                Author Tags

                1. online auction
                2. bidding process
                3. bundling

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