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Game theoretical analysis of buy-it-now price auctions

Hai Yu, Chuangyin Dang, Shou-Yang Wang

    Research output: Journal Publications and ReviewsRGC 62 - Review of books or of software (or similar publications/items)peer-review

    Abstract

    We study two kinds of buy-it-now options, temporary and permanent, under a theoretical model of Stackelberg game. In this two-stage game, the bidders, as the followers, use a two-threshold strategy to determine whether to bid or directly buy the item at the posted price, given an auction configuration featured by the seller in the first stage and other common knowledge. Under the uniform distribution assumption for the bidders' valuation, we derive the optimal necessary conditions of the starting price and the buy-it-now price for maximizing the seller's expected revenue. Then, we use two numerical experiments to find some interesting insights, which include that under identical bidders' participation costs, the temporary buy-it-now option can acquire a higher expected revenue for the seller than the permanent option, and a buy-it-now price auction always nontrivially dominates a regular auction in terms of the achieved expected revenue, no matter whether the seller or the bidders are risk-averse. © World Scientific Publishing Company.
    Original languageEnglish
    Pages (from-to)557-581
    JournalInternational Journal of Information Technology and Decision Making
    Volume5
    Issue number3
    DOIs
    Publication statusPublished - Sept 2006

    Research Keywords

    • Buy-it-now price auction
    • Game theory
    • Permanent
    • Stackelberg game
    • Temporary

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