IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/22616.html
   My bibliography  Save this paper

Designing Online Marketplaces: Trust and Reputation Mechanisms

Author

Listed:
  • Michael Luca

Abstract

Online marketplaces have proliferated over the past decade, creating new markets where none existed. By reducing transaction costs, online marketplaces facilitate transactions that otherwise would not have occurred and enable easier entry of small sellers. One central challenge faced by designers of online marketplaces is how to build enough trust to facilitate transactions between strangers. This paper provides an economist’s toolkit for designing online marketplaces, focusing on trust and reputation mechanisms.

Suggested Citation

  • Michael Luca, 2016. "Designing Online Marketplaces: Trust and Reputation Mechanisms," NBER Working Papers 22616, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:22616
    Note: IO LE LS PR
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w22616.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Weijia (Daisy) Dai & Ginger Jin & Jungmin Lee & Michael Luca, 2018. "Aggregation of consumer ratings: an application to Yelp.com," Quantitative Marketing and Economics (QME), Springer, vol. 16(3), pages 289-339, September.
    2. Dobrescu, Loretti I. & Luca, Michael & Motta, Alberto, 2013. "What makes a critic tick? Connected authors and the determinants of book reviews," Journal of Economic Behavior & Organization, Elsevier, vol. 96(C), pages 85-103.
    3. Charness, Gary & Haruvy, Ernan & Sonsino, Doron, 2007. "Social distance and reciprocity: An Internet experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 63(1), pages 88-103, May.
    4. Gary Bolton & Ben Greiner & Axel Ockenfels, 2013. "Engineering Trust: Reciprocity in the Production of Reputation Information," Management Science, INFORMS, vol. 59(2), pages 265-285, January.
    5. Lawrence F. Katz & Alan B. Krueger, 2016. "The Rise and Nature of Alternative Work Arrangements in the United States, 1995-2015," NBER Working Papers 22667, National Bureau of Economic Research, Inc.
    6. Ayres, Ian & Siegelman, Peter, 1995. "Race and Gender Discrimination in Bargaining for a New Car," American Economic Review, American Economic Association, vol. 85(3), pages 304-321, June.
    7. Fiona Morton & Florian Zettelmeyer & Jorge Silva-Risso, 2003. "Consumer Information and Discrimination: Does the Internet Affect the Pricing of New Cars to Women and Minorities?," Quantitative Marketing and Economics (QME), Springer, vol. 1(1), pages 65-92, March.
    8. Marianne Bertrand & Sendhil Mullainathan, 2004. "Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination," American Economic Review, American Economic Association, vol. 94(4), pages 991-1013, September.
    9. Benjamin Edelman & Micahel Luca, 2014. "Digital Discrimination: The Case of Airbnb.com," Harvard Business School Working Papers 14-054, Harvard Business School.
    10. Jennifer L. Doleac & Luke C.D. Stein, 2013. "The Visible Hand: Race and Online Market Outcomes," Economic Journal, Royal Economic Society, vol. 123(11), pages 469-492, November.
    11. Jonathan V. Hall & Alan B. Krueger, 2015. "An Analysis of the Labor Market for Uber's Driver-Partners in the United States," Working Papers 587, Princeton University, Department of Economics, Industrial Relations Section..
    12. John J. Horton, 2017. "The Effects of Algorithmic Labor Market Recommendations: Evidence from a Field Experiment," Journal of Labor Economics, University of Chicago Press, vol. 35(2), pages 345-385.
    13. Michael Luca & Georgios Zervas, 2013. "Fake It Till You Make It: Reputation, Competition, and Yelp Review Fraud," Harvard Business School Working Papers 14-006, Harvard Business School, revised May 2015.
    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. Nuno Martins & Daniel Brandão & Heitor Alvelos & Sara Silva, 2020. "E-Marketplace as a Tool for the Revitalization of Portuguese Craft Industry: The Design Process in the Development of an Online Platform," Future Internet, MDPI, vol. 12(11), pages 1-23, November.
    2. Heidrun Hoppe-Wewetzer & Christian Siemering, 2022. "Advertisement-financed credit ratings," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(1), pages 188-206, January.
    3. Alex Wood-Doughty, 2016. "Do Employers Learn from Public, Subjective, Performance Reviews?," Working Papers 16-11, NET Institute.
    4. Marcello Basili & Maria Alessandra Rossi, 2018. "Platform-mediated reputation systems in the sharing economy and incentives to provide service quality: the case of ridesharing services," Department of Economics University of Siena 787, Department of Economics, University of Siena.
    5. Martin Lukac & André Grow, 2021. "Reputation systems and recruitment in online labor markets: insights from an agent-based model," Journal of Computational Social Science, Springer, vol. 4(1), pages 207-229, May.
    6. Tan, Zhi Ming & Aggarwal, Nikita & Cowls, Josh & Morley, Jessica & Taddeo, Mariarosaria & Floridi, Luciano, 2021. "The ethical debate about the gig economy: A review and critical analysis," Technology in Society, Elsevier, vol. 65(C).
    7. Lukac, Martin & Grow, André, 2020. "Reputation systems and recruitment in online labor markets: insights from an agent-based model," LSE Research Online Documents on Economics 114454, London School of Economics and Political Science, LSE Library.
    8. Kornberger, Martin & Pflueger, Dane & Mouritsen, Jan, 2017. "Evaluative infrastructures: Accounting for platform organization," Accounting, Organizations and Society, Elsevier, vol. 60(C), pages 79-95.

    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. Michael Luca, 2016. "Designing Online Marketplaces: Trust and Reputation Mechanisms," NBER Chapters, in: Innovation Policy and the Economy, Volume 17, pages 77-93, National Bureau of Economic Research, Inc.
    2. Michael Luca, 2016. "Designing Online Marketplaces: Trust and Reputation Mechanisms," Harvard Business School Working Papers 17-017, Harvard Business School.
    3. Michael Luca, 2017. "Designing Online Marketplaces: Trust and Reputation Mechanisms," Innovation Policy and the Economy, University of Chicago Press, vol. 17(1), pages 77-93.
    4. Benjamin Edelman & Micahel Luca, 2014. "Digital Discrimination: The Case of Airbnb.com," Harvard Business School Working Papers 14-054, Harvard Business School.
    5. Priyanga Gunarathne & Huaxia Rui & Abraham Seidmann, 2022. "Racial Bias in Customer Service: Evidence from Twitter," Information Systems Research, INFORMS, vol. 33(1), pages 43-54, March.
    6. Ian Ayres & Mahzarin Banaji & Christine Jolls, 2015. "Race effects on eBay," RAND Journal of Economics, RAND Corporation, vol. 46(4), pages 891-917, October.
    7. Kakar, Venoo & Franco, Julisa & Voelz, Joel & Wu, Julia, 2016. "Effects of Host Race Information on Airbnb Listing Prices in San Francisco," MPRA Paper 69974, University Library of Munich, Germany.
    8. Brad Greenwood & Idris Adjerid & Corey M. Angst & Nathan L. Meikle, 2022. "How Unbecoming of You: Online Experiments Uncovering Gender Biases in Perceptions of Ridesharing Performance," Journal of Business Ethics, Springer, vol. 175(3), pages 499-518, January.
    9. Huailu Li & Kevin Lang & Kaiwen Leong, 2018. "Does Competition Eliminate Discrimination? Evidence from the Commercial Sex Market in Singapore," Economic Journal, Royal Economic Society, vol. 128(611), pages 1570-1608, June.
    10. Gaddis, S. Michael, 2018. "An Introduction to Audit Studies in the Social Sciences," SocArXiv e5hfc, Center for Open Science.
    11. Peter Younkin & Venkat Kuppuswamy, 2018. "The Colorblind Crowd? Founder Race and Performance in Crowdfunding," Management Science, INFORMS, vol. 64(7), pages 3269-3287, July.
    12. Owan, Hideo & 都留, 康 & Tsuru, Tsuyoshi & Uehara, Katsuhito, 2012. "Seller-Buyer Ethnic Matches: The Case Of Car Transactions At Two North American Auto Dealerships," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 53(2), pages 217-236, December.
    13. Michael Ewens & Bryan Tomlin & Liang Choon Wang, 2014. "Statistical Discrimination or Prejudice? A Large Sample Field Experiment," The Review of Economics and Statistics, MIT Press, vol. 96(1), pages 119-134, March.
    14. Younkin, Peter & Kuppuswamy, Venkat, 2019. "Discounted: The effect of founder race on the price of new products," Journal of Business Venturing, Elsevier, vol. 34(2), pages 389-412.
    15. Farajallah, Mehdi & Hammond, Robert G. & Pénard, Thierry, 2019. "What drives pricing behavior in Peer-to-Peer markets? Evidence from the carsharing platform BlaBlaCar," Information Economics and Policy, Elsevier, vol. 48(C), pages 15-31.
    16. David P Byrne & Leslie A Martin & Jia Sheen Nah, 2022. "Price Discrimination by Negotiation: a Field Experiment in Retail Electricity [“Redistribution through Markets,”]," The Quarterly Journal of Economics, Oxford University Press, vol. 137(4), pages 2499-2537.
    17. 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.
    18. David P Byrne & Leslie A Martin & Jia Sheen Nah, 2023. "Price Discrimination by Negotiation: a Field Experiment in Retail Electricity," Journal of Economic Geography, Oxford University Press, vol. 137(4), pages 2499-2537.
    19. Morten Størling Hedegaard & Jean-Robert Tyran, 2018. "The Price of Prejudice," American Economic Journal: Applied Economics, American Economic Association, vol. 10(1), pages 40-63, January.
    20. David P Byrne & Leslie A Martin & Jia Sheen Nah, 2023. "Price Discrimination by Negotiation: a Field Experiment in Retail Electricity," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 137(4), pages 2499-2537.

    More about this item

    JEL classification:

    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nbr:nberwo:22616. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.