TY - JOUR
T1 - The role of customer expectations in name-your-own-price markets
AU - Fay, Scott
AU - Lee, Seung Hwan Shawn
N1 - Publisher Copyright:
© 2014 Elsevier Inc.
PY - 2015/3/1
Y1 - 2015/3/1
N2 - This research analyzes how consumers' bidding costs and expectations about the threshold price impact a Name-Your-Own-Price (NYOP) retailer. We find that an NYOP retailer's profit may increase if consumers learn the product's true price threshold distribution. Inaccurate expectations can be detrimental to the firm either if consumers are too optimistic (i.e., expect the threshold price to be lower, on average, than really is) OR if consumers are overly pessimistic (i.e., expect the price threshold to be much higher than it is in reality). Furthermore, if customers accurately anticipate the true distribution of threshold prices, a seller may benefit from either (1) rejecting profitable bids in order to induce higher expectations of the threshold price (and thus higher bids) or (2) accepting bids below its costs (in order to raise participation rates). Using data from a real-world NYOP retailer, we find that bidding behavior is consistent with our analytical predictions.
AB - This research analyzes how consumers' bidding costs and expectations about the threshold price impact a Name-Your-Own-Price (NYOP) retailer. We find that an NYOP retailer's profit may increase if consumers learn the product's true price threshold distribution. Inaccurate expectations can be detrimental to the firm either if consumers are too optimistic (i.e., expect the threshold price to be lower, on average, than really is) OR if consumers are overly pessimistic (i.e., expect the price threshold to be much higher than it is in reality). Furthermore, if customers accurately anticipate the true distribution of threshold prices, a seller may benefit from either (1) rejecting profitable bids in order to induce higher expectations of the threshold price (and thus higher bids) or (2) accepting bids below its costs (in order to raise participation rates). Using data from a real-world NYOP retailer, we find that bidding behavior is consistent with our analytical predictions.
KW - Consumer learning
KW - Expectation formation
KW - Name-Your-Own-Price
KW - Pricing
KW - Reverse auctions
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U2 - 10.1016/j.jbusres.2014.08.004
DO - 10.1016/j.jbusres.2014.08.004
M3 - Article
AN - SCOPUS:85027921532
SN - 0148-2963
VL - 68
SP - 675
EP - 683
JO - Journal of Business Research
JF - Journal of Business Research
IS - 3
ER -