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Buyer Uncertainty About Seller Capacity: Causes, Consequences, and a Partial Solution

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Cited by:

  1. Evangelos Mourelatos & Jaakko Simonen & Simo Hosio & Daniil Likhobaba & Dmitry Ustalov, 2024. "How has the COVID-19 pandemic shaped behavior in crowdsourcing? The role of online labor market training," Journal of Business Economics, Springer, vol. 94(9), pages 1201-1244, November.
  2. Apostolos Filippas & John J. Horton & Richard J. Zeckhauser, 2020. "Owning, Using, and Renting: Some Simple Economics of the “Sharing Economy”," Management Science, INFORMS, vol. 66(9), pages 4152-4172, September.
  3. Jaehwuen Jung & Hyungsoo Lim & Dongwon Lee & Chul Kim, 2022. "The Secret to Finding a Match: A Field Experiment on Choice Capacity Design in an Online Dating Platform," Information Systems Research, INFORMS, vol. 33(4), pages 1248-1263, December.
  4. Zoë Cullen & Chiara Farronato, 2021. "Outsourcing Tasks Online: Matching Supply and Demand on Peer-to-Peer Internet Platforms," Management Science, INFORMS, vol. 67(7), pages 3985-4003, July.
  5. Alan Benson & Aaron Sojourner & Akhmed Umyarov, 2020. "Can Reputation Discipline the Gig Economy? Experimental Evidence from an Online Labor Market," Management Science, INFORMS, vol. 66(5), pages 1802-1825, May.
  6. Peng Shi, 2023. "Optimal Matchmaking Strategy in Two-Sided Marketplaces," Management Science, INFORMS, vol. 69(3), pages 1323-1340, March.
  7. Yash Kanoria & Daniela Saban, 2021. "Facilitating the Search for Partners on Matching Platforms," Management Science, INFORMS, vol. 67(10), pages 5990-6029, October.
  8. Ni Huang & Gordon Burtch & Yili Hong & Paul A. Pavlou, 2020. "Unemployment and Worker Participation in the Gig Economy: Evidence from an Online Labor Market," Information Systems Research, INFORMS, vol. 31(2), pages 431-448, June.
  9. Chen Liang & Yili Hong & Pei-Yu Chen & Benjamin B. M. Shao, 2022. "The Screening Role of Design Parameters for Service Procurement Auctions in Online Service Outsourcing Platforms," Information Systems Research, INFORMS, vol. 33(4), pages 1324-1343, December.
  10. Cohn, Alain & Stoop, Jan, 2025. "Disinformation for hire: A field experiment on unethical jobs in online labor markets," European Economic Review, Elsevier, vol. 172(C).
  11. Fabian Braesemann & Fabian Stephany & Ole Teutloff & Otto Kässi & Mark Graham & Vili Lehdonvirta, 2022. "The global polarisation of remote work," PLOS ONE, Public Library of Science, vol. 17(10), pages 1-22, October.
  12. Michelangelo Rossi, 2019. "How Does Competition Affect Reputation Concerns? Theory and Evidence from Airbnb," CESifo Working Paper Series 7972, CESifo.
  13. Christopher T. Stanton & Catherine Thomas, 2020. "The Gig Economy Beyond Local Services and Transportation," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 21(03), pages 21-26, September.
  14. Hongchang Wang & Benjamin Williams & Karen Xie & Wei Chen, 2024. "Quality Differentiation and Matching Performance in Peer-to-Peer Markets: Evidence from Airbnb Plus," Management Science, INFORMS, vol. 70(7), pages 4260-4282, July.
  15. Nick Arnosti & Ramesh Johari & Yash Kanoria, 2021. "Managing Congestion in Matching Markets," Manufacturing & Service Operations Management, INFORMS, vol. 23(3), pages 620-636, May.
  16. repec:osf:socarx:q8a96_v1 is not listed on IDEAS
  17. Gordon Burtch & Yili Hong & Senthil Kumar, 2021. "When Does Dispute Resolution Substitute for a Reputation System? Empirical Evidence from a Service Procurement Platform," Production and Operations Management, Production and Operations Management Society, vol. 30(6), pages 1565-1582, June.
  18. Ni Huang & Gordon Burtch & Yumei He & Yili Hong, 2022. "Managing Congestion in a Matching Market via Demand Information Disclosure," Information Systems Research, INFORMS, vol. 33(4), pages 1196-1220, December.
  19. Kostas Bimpikis & Ozan Candogan & Daniela Saban, 2019. "Spatial Pricing in Ride-Sharing Networks," Operations Research, INFORMS, vol. 67(3), pages 744-769, May.
  20. Jin Liu & Xingchen Xu & Xi Nan & Yongjun Li & Yong Tan, 2023. ""Generate" the Future of Work through AI: Empirical Evidence from Online Labor Markets," Papers 2308.05201, arXiv.org, revised Jun 2025.
  21. Moshe A. Barach & Joseph M. Golden & John J. Horton, 2020. "Steering in Online Markets: The Role of Platform Incentives and Credibility," Management Science, INFORMS, vol. 66(9), pages 4047-4070, September.
  22. Gomez-Herrera, Estrella & Mueller-Langer, Frank, 2024. "Does information disclosure affect the gender gap in bidding behavior? Empirical evidence from a natural experiment on a large online labor platform," Labour Economics, Elsevier, vol. 90(C).
  23. Kazakova, E. & Sandomirskaia, M. & Suvorov, A. & Khazhgerieva, A. & Shavshin, R., 2023. "Platforms, online labor markets, and crowdsourcing. Part 2. Crowdsourcing," Journal of the New Economic Association, New Economic Association, vol. 61(4), pages 128-144.
  24. Tobias Lehmann & Camille Terrier & Rafael Lalive, 2023. "Costs and Benefits of Congestion in Two-Sided Markets: Evidence from the Dating Market," Working Papers 964, Queen Mary University of London, School of Economics and Finance.
  25. Kostas Bimpikis & Wedad J. Elmaghraby & Ken Moon & Wenchang Zhang, 2020. "Managing Market Thickness in Online Business-to-Business Markets," Management Science, INFORMS, vol. 66(12), pages 5783-5822, December.
  26. Rebecca Alcock & Justin J. Boutilier & Auyon Siddiq, 2022. "Shield-Net: Matching Supply with Demand for Face Shields During the COVID-19 Pandemic," Interfaces, INFORMS, vol. 52(6), pages 485-507, November.
  27. Mueller-Langer, Frank & Gómez-Herrera, Estrella, 2022. "Mobility restrictions and the substitution between on-site and remote work: Empirical evidence from a European online labour market," Information Economics and Policy, Elsevier, vol. 58(C).
  28. Yili Hong & Jing Peng & Gordon Burtch & Ni Huang, 2021. "Just DM Me (Politely): Direct Messaging, Politeness, and Hiring Outcomes in Online Labor Markets," Information Systems Research, INFORMS, vol. 32(3), pages 786-800, September.
  29. Itai Ashlagi & Mark Braverman & Yash Kanoria & Peng Shi, 2020. "Clearing Matching Markets Efficiently: Informative Signals and Match Recommendations," Management Science, INFORMS, vol. 66(5), pages 2163-2193, May.
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