4.7 Article

Separate and bundling selling strategies for complementary products in a participative pricing mechanism

期刊

COMPUTERS & INDUSTRIAL ENGINEERING
卷 177, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cie.2023.109018

关键词

Pricing; Complementary products; Bundling; Game theory; Supply uncertainty

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This paper focuses on the name-your-own-price (NYOP) mechanism in the context of complementary products. The study investigates the impact of supply uncertainty on two different sales strategies: bundling and separate sales. Using a game-theoretic approach, the authors analyze equilibrium thresholds, optimal retailer strategy, and customers' bidding behavior. The results highlight the importance of complementation degree and marginal costs in determining dominant strategies and bidding policies, as well as the role of NYOP in price discrimination and market segmentation.
This paper studies the name-your-own-price (NYOP) mechanism for complementary products in which customers participate in the pricing mechanism by submitting bids. If the bid exceeds a concealed threshold, the transaction occurs. Considering supply uncertainty, two different sale strategies, bundling and separate sales, are addressed. Under the separate sale, customers can submit a bid for each of the individual products. Under the bundling sale, products are sold as a package and customers can place a single bid on it. A game-theoretic approach is used, and with respect to the concavity of the profit function, equilibrium thresholds, optimal retailer strategy, and cus-tomers bidding behavior are obtained. Results showed that complementation degree and marginal costs are critical factors that can change dominant strategy and bidding policy. High extra valuation gained by purchasing complementary products encourages customers to submit greater bids and buy the bundle which in turn in-creases the firm's profit. The high value of low-marginal cost also causes the separate sale to outperform the bundling strategy. Furthermore, NYOP acts as a price discrimination tool and facilitates segmenting the market.

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