IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v70y2024i7p4533-4547.html

Information Provision in Two-Sided Platforms: Optimizing for Supply

Author

Listed:
  • Kostas Bimpikis

    (Stanford Graduate School of Business, Stanford University, Palo Alto, California 94305)

  • Yiangos Papanastasiou

    (Haas School of Business, University of California, Berkeley, California 94720)

  • Wenchang Zhang

    (Kelley School of Business, Indiana University, Bloomington, Indiana 47405)

Abstract

Although information design has recently received significant attention as a tool for shaping consumers’ purchase behavior, little is known about its use and implications in two-sided marketplaces, where both supply and demand consist of self-interested strategic agents. In this paper, we develop a model of a two-sided platform that facilitates transactions between vertically differentiated suppliers and consumers who differ in their quality preferences. We focus on illustrating the potential benefits of optimal information provision in managing the supply side of the marketplace, including the entry, exit, and pricing decisions of potential suppliers. We show that the revenue-optimal information provision policy often involves delaying the disclosure of information regarding the quality of the available suppliers. When the outside options available to consumers are relatively unattractive, we find that information design can help the platform achieve a more revenue-efficient matching between supply and demand. On the other hand, when consumers have access to attractive outside options, we show that information design can accelerate the discovery of high-quality suppliers, leading to an increase in the platform’s total transaction volume. Moreover, in cases where the platform benefits from commission subsidies to incentivize the entry of new suppliers, information design can be used to achieve the same goal while allowing the platform to earn higher commission revenue. Overall, our numerical experiments suggest that the impact of information design on platform revenue, as well as on consumer surplus, can be substantial.

Suggested Citation

  • Kostas Bimpikis & Yiangos Papanastasiou & Wenchang Zhang, 2024. "Information Provision in Two-Sided Platforms: Optimizing for Supply," Management Science, INFORMS, vol. 70(7), pages 4533-4547, July.
  • Handle: RePEc:inm:ormnsc:v:70:y:2024:i:7:p:4533-4547
    DOI: 10.1287/mnsc.2023.4894
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.2023.4894
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.2023.4894?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. David Lingenbrink & Krishnamurthy Iyer, 2019. "Optimal Signaling Mechanisms in Unobservable Queues," Operations Research, INFORMS, vol. 67(5), pages 1397-1416, September.
    2. Elena Belavina & Simone Marinesi & Gerry Tsoukalas, 2020. "Rethinking Crowdfunding Platform Design: Mechanisms to Deter Misconduct and Improve Efficiency," Management Science, INFORMS, vol. 66(11), pages 4980-4997, November.
    3. John Birge & Ozan Candogan & Hongfan Chen & Daniela Saban, 2021. "Optimal Commissions and Subscriptions in Networked Markets," Manufacturing & Service Operations Management, INFORMS, vol. 23(3), pages 569-588, May.
    4. Yash Kanoria & Daniela Saban, 2021. "Facilitating the Search for Partners on Matching Platforms," Management Science, INFORMS, vol. 67(10), pages 5990-6029, October.
    5. Saed Alizamir & Francis de Véricourt & Shouqiang Wang, 2020. "Warning Against Recurring Risks: An Information Design Approach," Management Science, INFORMS, vol. 66(10), pages 4612-4629, October.
    6. Yeon-Koo Che & Johannes Hörner, 2018. "Recommender Systems as Mechanisms for Social Learning," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(2), pages 871-925.
    7. Ian Ball, 2023. "Dynamic Information Provision: Rewarding the Past and Guiding the Future," Econometrica, Econometric Society, vol. 91(4), pages 1363-1391, July.
    8. Christopher T. Stanton & Catherine Thomas, 2016. "Landing the First Job: The Value of Intermediaries in Online Hiring," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(2), pages 810-854.
    9. Ozan Candogan & Kimon Drakopoulos, 2020. "Optimal Signaling of Content Accuracy: Engagement vs. Misinformation," Operations Research, INFORMS, vol. 68(2), pages 497-515, March.
    10. Kostas Bimpikis & Ozan Candogan & Daniela Saban, 2019. "Spatial Pricing in Ride-Sharing Networks," Operations Research, INFORMS, vol. 67(3), pages 744-769, May.
    11. Gerry Tsoukalas & Brett Hemenway Falk, 2020. "Token-Weighted Crowdsourcing," Management Science, INFORMS, vol. 66(9), pages 3843-3859, September.
    12. Senthil K. Veeraraghavan & Laurens G. Debo, 2011. "Herding in Queues with Waiting Costs: Rationality and Regret," Manufacturing & Service Operations Management, INFORMS, vol. 13(3), pages 329-346, July.
    13. Jeffrey C. Ely & Martin Szydlowski, 2020. "Moving the Goalposts," Journal of Political Economy, University of Chicago Press, vol. 128(2), pages 468-506.
    14. Luis Rayo & Ilya Segal, 2010. "Optimal Information Disclosure," Journal of Political Economy, University of Chicago Press, vol. 118(5), pages 949-987.
    15. Senthil Veeraraghavan & Laurens Debo, 2009. "Joining Longer Queues: Information Externalities in Queue Choice," Manufacturing & Service Operations Management, INFORMS, vol. 11(4), pages 543-562, April.
    16. Vasiliki Kostami, 2020. "Price and Lead time Disclosure Strategies in Inventory Systems," Production and Operations Management, Production and Operations Management Society, vol. 29(12), pages 2760-2788, December.
    17. Yiangos Papanastasiou & Kostas Bimpikis & Nicos Savva, 2018. "Crowdsourcing Exploration," Management Science, INFORMS, vol. 64(4), pages 1727-1746, April.
    18. MacDonald, Glenn M, 1988. "The Economics of Rising Stars," American Economic Review, American Economic Association, vol. 78(1), pages 155-166, March.
    19. Kimon Drakopoulos & Shobhit Jain & Ramandeep Randhawa, 2021. "Persuading Customers to Buy Early: The Value of Personalized Information Provisioning," Management Science, INFORMS, vol. 67(2), pages 828-853, February.
    20. Hopenhayn, Hugo A, 1992. "Entry, Exit, and Firm Dynamics in Long Run Equilibrium," Econometrica, Econometric Society, vol. 60(5), pages 1127-1150, September.
    21. Jerry Anunrojwong & Krishnamurthy Iyer & Vahideh Manshadi, 2023. "Information Design for Congested Social Services: Optimal Need-Based Persuasion," Management Science, INFORMS, vol. 69(7), pages 3778-3796, July.
    22. Rick Harbaugh & Eric Rasmusen, 2018. "Coarse Grades: Informing the Public by Withholding Information," American Economic Journal: Microeconomics, American Economic Association, vol. 10(1), pages 210-235, February.
    23. Ian Ball, 2023. "Dynamic Information Provision: Rewarding the Past and Guiding the Future," Papers 2303.09675, arXiv.org.
    24. Antonio Moreno & Christian Terwiesch, 2014. "Doing Business with Strangers: Reputation in Online Service Marketplaces," Information Systems Research, INFORMS, vol. 25(4), pages 865-886, December.
    25. Amanda Pallais, 2014. "Inefficient Hiring in Entry-Level Labor Markets," American Economic Review, American Economic Association, vol. 104(11), pages 3565-3599, November.
    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. Lillethun, Erik, 2026. "Information design and reputations in the frequent-interaction limit," Journal of Mathematical Economics, Elsevier, vol. 122(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. Kostas Bimpikis & Giacomo Mantegazza, 2023. "Strategic Release of Information in Platforms: Entry, Competition, and Welfare," Operations Research, INFORMS, vol. 71(5), pages 1619-1635, September.
    2. Bar Light & Ramesh Johari & Gabriel Weintraub, 2024. "Quality Selection in Two-Sided Markets: A Constrained Price Discrimination Approach," Operations Research, INFORMS, vol. 72(5), pages 1928-1957, September.
    3. Jerry Anunrojwong & Krishnamurthy Iyer & David Lingenbrink, 2024. "Persuading Risk-Conscious Agents: A Geometric Approach," Operations Research, INFORMS, vol. 72(1), pages 151-166, January.
    4. Thomas Mariotti & Nikolaus Schweizer & Nora Szech & Jonas von Wangenheim, 2023. "Information Nudges and Self-Control," Management Science, INFORMS, vol. 69(4), pages 2182-2197, April.
    5. Chen Jin & Kartik Hosanagar & Senthil Veeraraghavan, 2026. "Welfare Impact of Bilateral Rating Display in Ride-Sharing Platforms," Manufacturing & Service Operations Management, INFORMS, vol. 28(2), pages 610-623, March.
    6. Francis de Véricourt, & Huseyin Gurkan, & Shouqiang Wang,, 2020. "Informing the public about a pandemic," ESMT Research Working Papers ESMT-20-03, ESMT European School of Management and Technology, revised 11 Feb 2021.
    7. Kimon Drakopoulos & Shobhit Jain & Ramandeep Randhawa, 2021. "Persuading Customers to Buy Early: The Value of Personalized Information Provisioning," Management Science, INFORMS, vol. 67(2), pages 828-853, February.
    8. Can Küçükgül & Özalp Özer & Shouqiang Wang, 2022. "Engineering Social Learning: Information Design of Time-Locked Sales Campaigns for Online Platforms," Management Science, INFORMS, vol. 68(7), pages 4899-4918, July.
    9. Mehdi H. Farahani & Milind Dawande & Ganesh Janakiraman & Shouqiang Wang, 2025. "Avoiding Fields on Fire: Information Dissemination Policies for Environmentally Safe Crop-Residue Management," Management Science, INFORMS, vol. 71(8), pages 6683-6706, August.
    10. Niloufar Mirzavand Boroujeni & Krishnamurthy Iyer & William L. Cooper, 2025. "Decentralized Signaling Mechanisms," Papers 2504.14163, arXiv.org.
    11. John R. Birge & Hongfan (Kevin) Chen & N. Bora Keskin & Amy Ward, 2024. "To Interfere or Not To Interfere: Information Revelation and Price-Setting Incentives in a Multiagent Learning Environment," Operations Research, INFORMS, vol. 72(6), pages 2391-2412, November.
    12. Ronen Gradwohl & Niklas Hahn & Martin Hoefer & Rann Smorodinsky, 2022. "Algorithms for Persuasion with Limited Communication," Mathematics of Operations Research, INFORMS, vol. 47(3), pages 2520-2545, August.
    13. Arian Aflaki & Qian (Ken) Zhang, 2026. "Is Your Price Personalized? Alleviating Customer Concerns with Inventory Availability Information," Operations Research, INFORMS, vol. 74(1), pages 181-198, January.
    14. Lillethun, Erik, 2026. "Information design and reputations in the frequent-interaction limit," Journal of Mathematical Economics, Elsevier, vol. 122(C).
    15. Li Chen & Yiangos Papanastasiou, 2021. "Seeding the Herd: Pricing and Welfare Effects of Social Learning Manipulation," Management Science, INFORMS, vol. 67(11), pages 6734-6750, November.
    16. Yonatan Gur & Gregory Macnamara & Ilan Morgenstern & Daniela Saban, 2023. "Information Disclosure and Promotion Policy Design for Platforms," Management Science, INFORMS, vol. 69(10), pages 5883-5903, October.
    17. Ozan Candogan, 2022. "Persuasion in Networks: Public Signals and Cores," Operations Research, INFORMS, vol. 70(4), pages 2264-2298, July.
    18. Li, Xuelin & Szydlowski, Martin & Yu, Fangyuan, 2025. "Dynamic information design in an entry game," Journal of Economic Theory, Elsevier, vol. 226(C).
    19. Zheng, Shiyuan & Jia, Rongwen & Shang, Wen-Long & Fu, Xiaowen & Wang, Kun, 2023. "Promote transport facility Resilience: Persuasion or Subsidy?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    20. Tal Avinadav & Tatyana Chernonog & Noam Shamir, 2025. "Information Provision from a Platform to Competing Sellers: The Role of Strategic Ambiguity," Manufacturing & Service Operations Management, INFORMS, vol. 27(1), pages 269-286, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:ormnsc:v:70:y:2024:i:7:p:4533-4547. 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.