IDEAS home Printed from https://ideas.repec.org/a/inm/ordeca/v18y2021i2p121-138.html
   My bibliography  Save this article

Decisions on Probabilistic Selling for Consumers with Different Risk Attitudes

Author

Listed:
  • Yeu-Shiang Huang

    (Department of Industrial and Information Management, Center for Innovative FinTech Business Models, National Cheng Kung University, Tainan, Taiwan 70101)

  • Tzu-Yi Wu

    (Department of Industrial and Information Management, National Cheng Kung University, Tainan, Taiwan 70101)

  • Chih-Chiang Fang

    (School of Computer Science and Software, Zhaoqing University, Guangdong Province 526061, China)

  • Tzu-Liang (Bill) Tseng

    (Department of Industrial, Manufacturing and Systems Engineering, University of Texas at El Paso, El Paso, Texas 79968)

Abstract

Consumer attitudes toward probabilistic goods are affected not only by their personal preferences, but also by their risk propensity. However, because the probability of obtaining their preferred items is determined by the retailer, consumers must search for related information and rely on their own subjective judgments to reduce the risk of not obtaining them. This study investigates the effects that consumer risk attitudes and word of mouth have on consumers’ purchase decisions regarding probabilistic goods and develops a pricing model for probabilistic selling in which a retailer offers probabilistic goods to heterogeneous consumers with different risk attitudes and possible social interactions. The analytical results show that a retailer’s profit decreases as the degree of risk aversion increases under the probabilistic selling strategy. In addition, word of mouth affects consumers’ purchasing decisions regarding different degrees of belief that they will obtain their preferred items. When the word-of-mouth effect decreases, the consumers’ perceived probability of obtaining their preferred items also decreases, which, consequently, reduces the retailer’s profits.

Suggested Citation

  • 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.
  • Handle: RePEc:inm:ordeca:v:18:y:2021:i:2:p:121-138
    DOI: 10.1287/deca.2021.0427
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/deca.2021.0427
    Download Restriction: no

    File URL: https://libkey.io/10.1287/deca.2021.0427?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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. 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.
    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. 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.
    5. David Godes & Dina Mayzlin, 2009. "Firm-Created Word-of-Mouth Communication: Evidence from a Field Test," Marketing Science, INFORMS, vol. 28(4), pages 721-739, 07-08.
    6. Dmitry Shapiro & Xianwen Shi, 2008. "Market Segmentation: The Role of Opaque Travel Agencies," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 17(4), pages 803-837, December.
    7. Jonah Berger & Alan T. Sorensen & Scott J. Rasmussen, 2010. "Positive Effects of Negative Publicity: When Negative Reviews Increase Sales," Marketing Science, INFORMS, vol. 29(5), pages 815-827, 09-10.
    8. Zelin Zhang & Kissan Joseph & Ramanathan Subramaniam, 2015. "Probabilistic Selling in Quality-Differentiated Markets," Management Science, INFORMS, vol. 61(8), pages 1959-1977, August.
    9. 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.
    10. 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.
    11. Lisa J. Abendroth & Kristin Diehl, 2006. "Now or Never: Effects of Limited Purchase Opportunities on Patterns of Regret over Time," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 33(3), pages 342-351, October.
    12. Tingliang Huang & Yimin Yu, 2014. "Sell Probabilistic Goods? A Behavioral Explanation for Opaque Selling," Marketing Science, INFORMS, vol. 33(5), pages 743-759, September.
    13. Kinshuk Jerath & Serguei Netessine & Senthil K. Veeraraghavan, 2009. "Selling to Strategic Customers: Opaque Selling Strategies," International Series in Operations Research & Management Science, in: Christopher S. Tang & Serguei Netessine (ed.), Consumer-Driven Demand and Operations Management Models, edition 1, chapter 0, pages 253-300, Springer.
    14. Xiaoqing Jing & Jinhong Xie, 2011. "Group Buying: A New Mechanism for Selling Through Social Interactions," Management Science, INFORMS, vol. 57(8), pages 1354-1372, August.
    15. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mvondo, Gustave Florentin Nkoulou & Jing, Fengjie & Hussain, Khalid, 2023. "What's in the box? Investigating the benefits and risks of the blind box selling strategy," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    2. Andrea C. Hupman, 2022. "Cutoff Threshold Decisions for Classification Algorithms with Risk Aversion," Decision Analysis, INFORMS, vol. 19(1), pages 63-78, March.
    3. 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.
    4. 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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. 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.
    4. 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).
    5. 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).
    6. 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.
    7. 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.
    8. Aleksandra Kovacheva & Hristina Nikolova, 2024. "Uncertainty marketing tactics: An overview and a unifying framework," Journal of the Academy of Marketing Science, Springer, vol. 52(1), pages 1-22, January.
    9. 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.
    10. Adam N. Elmachtoub & Michael L. Hamilton, 2021. "The Power of Opaque Products in Pricing," Management Science, INFORMS, vol. 67(8), pages 4686-4702, August.
    11. Ruomeng Cui & Hyoduk Shin, 2018. "Sharing Aggregate Inventory Information with Customers: Strategic Cross-Selling and Shortage Reduction," Management Science, INFORMS, vol. 64(1), pages 381-400, January.
    12. Mao, Zhaofang & Liu, Wei & Feng, Bo, 2019. "Opaque distribution channels for service providers with asymmetric capacities: Posted-price mechanisms," International Journal of Production Economics, Elsevier, vol. 215(C), pages 112-120.
    13. 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.
    14. 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.
    15. Tingliang Huang & Yimin Yu, 2014. "Sell Probabilistic Goods? A Behavioral Explanation for Opaque Selling," Marketing Science, INFORMS, vol. 33(5), pages 743-759, September.
    16. Yong Chao & Lin Liu & Dongyuan Zhan, 2016. "Vertical Probabilistic Selling under Competition: the Role of Consumer Anticipated Regret," Working Papers 16-14, NET Institute.
    17. Yuetao Gao & Yue Wu, 2023. "Regulating Probabilistic Selling of Counterfeits," Management Science, INFORMS, vol. 69(8), pages 4498-4517, August.
    18. Ningyuan Chen & Adam N. Elmachtoub & Michael L. Hamilton & Xiao Lei, 2021. "Loot Box Pricing and Design," Management Science, INFORMS, vol. 67(8), pages 4809-4825, August.
    19. 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.
    20. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ordeca:v:18:y:2021:i:2:p:121-138. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.