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Joint pricing and inventory decision under a probabilistic selling strategy

Author

Listed:
  • Yifan Wu

    (East China University of Science and Technology)

  • Shibo Jin

    (East China University of Science and Technology)

Abstract

This study examines whether probabilistic selling could enhance inventory management considering market size uncertainty in a rather general setting. We propose to study the impact of probabilistic selling on the profit, price and order quantity within a newsvendor framework. By comparing probabilistic selling against traditional selling, we find that probabilistic selling could generally increase firm’s expected profit. Moreover, the firm will increase the price and the order quantity for the component product. The impact of various aspects, i.e. the demand variance, the unit cost and the degree of cannibalization, on the pricing and order decisions are investigated through numerical experiments.

Suggested Citation

  • Yifan Wu & Shibo Jin, 2022. "Joint pricing and inventory decision under a probabilistic selling strategy," Operational Research, Springer, vol. 22(2), pages 1209-1233, April.
    • Handle: RePEc:spr:operea:v:22:y:2022:i:2:d:10.1007_s12351-020-00599-x
    DOI: 10.1007/s12351-020-00599-x
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    References listed on IDEAS

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    1. Yongbo Xiao & Jian Chen, 2014. "Evaluating the potential effects from probabilistic selling of similar products," Naval Research Logistics (NRL), John Wiley & Sons, vol. 61(8), pages 604-620, December.
    2. Rachel R. Chen & Esther Gal-Or & Paolo Roma, 2014. "Opaque Distribution Channels for Competing Service Providers: Posted Price vs. Name-Your-Own-Price Mechanisms," Operations Research, INFORMS, vol. 62(4), pages 733-750, August.
    3. Fay, Scott & Xie, Jinhong & Feng, Cong, 2015. "The Effect of Probabilistic Selling on the Optimal Product Mix," Journal of Retailing, Elsevier, vol. 91(3), pages 451-467.
    4. Zhang, Yi & Hua, Guowei & Wang, Shouyang & Zhang, Juliang & Fernandez, Vicenc, 2018. "Managing demand uncertainty: Probabilistic selling versus inventory substitution," International Journal of Production Economics, Elsevier, vol. 196(C), pages 56-67.
    5. Tingliang Huang & Yimin Yu, 2014. "Sell Probabilistic Goods? A Behavioral Explanation for Opaque Selling," Marketing Science, INFORMS, vol. 33(5), pages 743-759, September.
    6. Fay, Scott, 2008. "Selling an opaque product through an intermediary: The case of disguising one's product," Journal of Retailing, Elsevier, vol. 84(1), pages 59-75.
    7. Scott Fay & Jinhong Xie, 2010. "The Economics of Buyer Uncertainty: Advance Selling vs. Probabilistic Selling," Marketing Science, INFORMS, vol. 29(6), pages 1040-1057, 11-12.
    8. Anderson, Chris K. & Xie, Xiaoqing, 2014. "Pricing and market segmentation using opaque selling mechanisms," European Journal of Operational Research, Elsevier, vol. 233(1), pages 263-272.
    9. Rice, Dan Hamilton & Fay, Scott A. & Xie, Jinhong, 2014. "Probabilistic selling vs. markdown selling: Price discrimination and management of demand uncertainty in retailing," International Journal of Research in Marketing, Elsevier, vol. 31(2), pages 147-155.
    10. Scott Fay & Jinhong Xie, 2015. "Timing of Product Allocation: Using Probabilistic Selling to Enhance Inventory Management," Management Science, INFORMS, vol. 61(2), pages 474-484, February.
    11. Zelin Zhang & Kissan Joseph & Ramanathan Subramaniam, 2015. "Probabilistic Selling in Quality-Differentiated Markets," Management Science, INFORMS, vol. 61(8), pages 1959-1977, August.
    12. Kinshuk Jerath & Serguei Netessine & Senthil K. Veeraraghavan, 2010. "Revenue Management with Strategic Customers: Last-Minute Selling and Opaque Selling," Management Science, INFORMS, vol. 56(3), pages 430-448, March.
    13. Martin A. Lariviere & Evan L. Porteus, 2001. "Selling to the Newsvendor: An Analysis of Price-Only Contracts," Manufacturing & Service Operations Management, INFORMS, vol. 3(4), pages 293-305, May.
    14. Scott Fay & Jinhong Xie, 2008. "Probabilistic Goods: A Creative Way of Selling Products and Services," Marketing Science, INFORMS, vol. 27(4), pages 674-690, 07-08.
    15. David Post & Martin Spann, 2012. "Improving Airline Revenues with Variable Opaque Products: “Blind Booking” at Germanwings," Interfaces, INFORMS, vol. 42(4), pages 329-338, August.
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    1. Shunlin Wang & Yifang Chen, 2022. "Consumption Coupons, Consumption Probability and Inventory Optimization: An Improved Minimum-Cost Maximum-Flow Approach," Sustainability, MDPI, vol. 14(13), pages 1-14, June.

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