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Sell Probabilistic Goods? A Behavioral Explanation for Opaque Selling

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  • Tingliang Huang

    (Lally School of Management, Rensselaer Polytechnic Institute, Troy, New York 12180)

  • Yimin Yu

    (Department of Management Sciences, College of Business, City University of Hong Kong, Kowloon, Hong Kong SAR)

Abstract

Probabilistic or opaque selling, whereby a seller hides the exact identity of a product until after the buyer makes a payment, has been used in practice and received considerable attention in the literature. Under what conditions, and why, is probabilistic selling attractive to firms? The extant literature has offered the following explanations: to price discriminate heterogeneous consumers, to reduce supply–demand mismatches, and to soften price competition. In this paper, we provide a new explanation: to exploit consumer bounded rationality in the sense of anecdotal reasoning. We build a simple model where the firm is a monopoly, consumers are homogeneous, and there is no demand uncertainty or capacity constraint. This model allows us to isolate the impact of consumer bounded rationality on the adoption of opaque selling. We find that although it is never optimal to use opaque selling when consumers have rational expectations, it can be optimal when consumers are boundedly rational. We show that opaque selling may soften price competition and increase the industry profits as a result of consumer bounded rationality. Our findings underscore the importance of consumer bounded rationality and show that opaque selling might be even more attractive than previously thought.

Suggested Citation

  • Tingliang Huang & Yimin Yu, 2014. "Sell Probabilistic Goods? A Behavioral Explanation for Opaque Selling," Marketing Science, INFORMS, vol. 33(5), pages 743-759, September.
  • Handle: RePEc:inm:ormksc:v:33:y:2014:i:5:p:743-759
    DOI: 10.1287/mksc.2014.0851
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    Cited by:

    1. Tingliang Huang & Zhe Yin & Ying-Ju Chen, 2017. "Managing Posterior Price Matching: The Role of Customer Boundedly Rational Expectations," Manufacturing & Service Operations Management, INFORMS, vol. 19(3), pages 385-402, July.
    2. Jordan Tong & Daniel Feiler, 2017. "A Behavioral Model of Forecasting: Naive Statistics on Mental Samples," Management Science, INFORMS, vol. 63(11), pages 3609-3627, November.
    3. Quan Zheng & Xiajun Amy Pan & Janice E. Carrillo, 2019. "Probabilistic Selling for Vertically Differentiated Products with Salient Thinkers," Marketing Science, INFORMS, vol. 38(3), pages 442-460, May.
    4. Guang Yang & Ying Wang & Mulin Liu, 2023. "Optimal Policy for Probabilistic Selling with Three-Way Revenue Sharing Contract under the Perspective of Sustainable Supply Chain," Sustainability, MDPI, vol. 15(4), pages 1-22, February.
    5. Fu, Qi & Wang, Qifei & Xu, Xiaoya & Lian, Zhaotong, 2017. "A two-product newsvendor system with a flexible product," International Journal of Production Economics, Elsevier, vol. 193(C), pages 590-601.
    6. Yeu-Shiang Huang & Tzu-Yi Wu & Chih-Chiang Fang & Tzu-Liang (Bill) Tseng, 2021. "Decisions on Probabilistic Selling for Consumers with Different Risk Attitudes," Decision Analysis, INFORMS, vol. 18(2), pages 121-138, June.
    7. 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.
    8. Zhang, Yi & Hua, Guowei & Cheng, T.C.E. & Zhang, Juliang & Fernandez, Vicenc, 2020. "Risk pooling through physical probabilistic selling," International Journal of Production Economics, Elsevier, vol. 219(C), pages 295-311.
    9. Ben Li & Xiaolong Guo & Liang Liang, 2024. "Optimal pricing decision and capacity allocation of opaque selling in airline revenue management," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(4), pages 356-368, August.
    10. 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.
    11. 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.
    12. Yuetao Gao & Yue Wu, 2023. "Regulating Probabilistic Selling of Counterfeits," Management Science, INFORMS, vol. 69(8), pages 4498-4517, August.
    13. Philipp Ströhle & Christoph M. Flath & Johannes Gärttner, 2019. "Leveraging Customer Flexibility for Car-Sharing Fleet Optimization," Service Science, INFORMS, vol. 53(1), pages 42-61, February.
    14. Yong Chao & Lin Liu & Dongyuan Zhan, 2016. "Vertical Probabilistic Selling under Competition: the Role of Consumer Anticipated Regret," Working Papers 16-14, NET Institute.
    15. Adam N. Elmachtoub & Michael L. Hamilton, 2021. "The Power of Opaque Products in Pricing," Management Science, INFORMS, vol. 67(8), pages 4686-4702, August.
    16. Zhang, Juliang & Deng, Lan & Liu, Huimin & Cheng, T.C.E., 2022. "Which strategy is better for managing multi-product demand uncertainty: Inventory substitution or probabilistic selling?," European Journal of Operational Research, Elsevier, vol. 302(1), pages 79-95.
    17. Onesun Steve Yoo & Rakesh Sarin, 2018. "Consumer Choice and Market Outcomes Under Ambiguity in Product Quality," Marketing Science, INFORMS, vol. 37(3), pages 445-468, May.
    18. Han Zhu & Yimin Yu & Saibal Ray, 2021. "Quality Disclosure Strategy under Customer Learning Opportunities," Production and Operations Management, Production and Operations Management Society, vol. 30(4), pages 1136-1153, April.
    19. Feng, Bo & Mao, Zhaofang & Li, Hui, 2021. "Choices for competing service providers with heterogeneous customers: Traditional versus opaque sales modes," Omega, Elsevier, vol. 98(C).
    20. Qing Li & Christopher S. Tang & He Xu, 2020. "Mitigating the Double‐Blind Effect in Opaque Selling: Inventory and Information," Production and Operations Management, Production and Operations Management Society, vol. 29(1), pages 35-54, January.
    21. Fedorenko, Ivan & Berthon, Pierre & Edelman, Linda, 2023. "Top secret: Integrating 20 years of research on secrecy," Technovation, Elsevier, vol. 123(C).
    22. Schäfers, Sebastian, 2022. "Product Lotteries and Loss Aversion," Working papers 2022/06, Faculty of Business and Economics - University of Basel.
    23. Ying He & Huaxia Rui, 2022. "Probabilistic selling in vertically differentiated markets: The role of substitution," Production and Operations Management, Production and Operations Management Society, vol. 31(11), pages 4191-4204, November.
    24. Guo, Xiaolong & Bian, Junsong & Wu, Peiyan & Shi, Victor & Chen, Huangen, 2023. "Probabilistic product design with regret-anticipated consumers," International Journal of Production Economics, Elsevier, vol. 263(C).

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