IDEAS home Printed from https://ideas.repec.org/p/pdn/ciepap/85.html
   My bibliography  Save this paper

Quality Choices and Reputation Systems in Online Markets - An Experimental Study

Author

Listed:
  • Sonja Brangewitz

    (University of Paderborn)

  • Behnud Djawadi

    (University of Paderborn)

  • Rene Fahr

    (University of Paderborn)

  • Claus-Jochen Haake

    (University of Paderborn)

Abstract

Republished as CIE Working Paper 2017-08

Suggested Citation

  • Sonja Brangewitz & Behnud Djawadi & Rene Fahr & Claus-Jochen Haake, 2014. "Quality Choices and Reputation Systems in Online Markets - An Experimental Study," Working Papers CIE 85, Paderborn University, CIE Center for International Economics.
    • Handle: RePEc:pdn:ciepap:85
    as

    Download full text from publisher

    File URL: http://groups.uni-paderborn.de/wp-wiwi/RePEc/pdf/ciepap/WP85.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Paul Resnick & Richard Zeckhauser & John Swanson & Kate Lockwood, 2006. "The value of reputation on eBay: A controlled experiment," Experimental Economics, Springer;Economic Science Association, vol. 9(2), pages 79-101, June.
    2. Ginger Zhe Jin & Andrew Kato, 2006. "Price, quality, and reputation: evidence from an online field experiment," RAND Journal of Economics, RAND Corporation, vol. 37(4), pages 983-1005, December.
    3. Chrysanthos Dellarocas, 2005. "Reputation Mechanism Design in Online Trading Environments with Pure Moral Hazard," Information Systems Research, INFORMS, vol. 16(2), pages 209-230, June.
    4. Michaël Dewally & Louis Ederington, 2006. "Reputation, Certification, Warranties, and Information as Remedies for Seller-Buyer Information Asymmetries: Lessons from the Online Comic Book Market," The Journal of Business, University of Chicago Press, vol. 79(2), pages 693-730, March.
    5. Bar-Isaac, Heski & Tadelis, Steven, 2008. "Seller Reputation," Foundations and Trends(R) in Microeconomics, now publishers, vol. 4(4), pages 273-351, August.
    6. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    7. Ginger Zhe Jin & Andrew Kato, 2006. "Price, quality, and reputation: evidence from an online field experiment," RAND Journal of Economics, The RAND Corporation, vol. 37(4), pages 983-1005, December.
    8. Sarah C. Rice, 2012. "Reputation and Uncertainty in Online Markets: An Experimental Study," Information Systems Research, INFORMS, vol. 23(2), pages 436-452, June.
    Full references (including those not matched with items on IDEAS)

    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. Behnud Mir Djawadi & René Fahr & Claus-Jochen Haake & Sonja Recker, 2018. "Maintaining vs. milking good reputation when customer feedback is inaccurate," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-23, November.
    2. Behnud Djawadi & Rene Fahr & Claus-Jochen Haake & Sonja Recker, 2017. "Maintaing vs. Milking Good Reputation when Customer Feedback is Inaccurate," Working Papers CIE 106, Paderborn University, CIE Center for International Economics.
    3. Gary E. Bolton & David J. Kusterer & Johannes Mans, 2015. "Inflated reputations: Uncertainty, leniency & moral wiggle room in trader feedback systems," Cologne Graduate School Working Paper Series 06-04, Cologne Graduate School in Management, Economics and Social Sciences, revised 29 Jul 2016.
    4. Solimine, Philip & Isaac, R. Mark, 2023. "Reputation and market structure in experimental platforms," Journal of Economic Behavior & Organization, Elsevier, vol. 205(C), pages 528-559.
    5. 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.
    6. Gary E. Bolton & David J. Kusterer & Johannes Mans, 2019. "Inflated Reputations: Uncertainty, Leniency, and Moral Wiggle Room in Trader Feedback Systems," Management Science, INFORMS, vol. 65(11), pages 5371-5391, November.
    7. Karl Taeuscher, 2019. "Uncertainty kills the long tail: demand concentration in peer-to-peer marketplaces," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(4), pages 649-660, December.
    8. Matthias Wibral, 2015. "Identity changes and the efficiency of reputation systems," Experimental Economics, Springer;Economic Science Association, vol. 18(3), pages 408-431, September.
    9. Tobias Gesche, 2022. "Reference‐price shifts and customer antagonism: Evidence from reviews for online auctions," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(3), pages 558-578, August.
    10. Grégory Jolivet & Bruno Jullien & Fabien Postel-Vinay, 2014. "Reputation and Pricing on the e-Market: Evidence from a Major French Platform," PSE Working Papers hal-03460312, HAL.
    11. Judy E. Scott & Dawn G. Gregg & Jae Hoon Choi, 2015. "Lemon complaints: When online auctions go sour," Information Systems Frontiers, Springer, vol. 17(1), pages 177-191, February.
    12. Jie Bai, 2016. "Melons as Lemons: Asymmetric Information, Consumer Learning and Seller Reputation," Natural Field Experiments 00540, The Field Experiments Website.
    13. Engström, Per & Forsell, Eskil, 2018. "Demand effects of consumers’ stated and revealed preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 150(C), pages 43-61.
    14. Omar Al-Ubaydli & John List, 2016. "Field Experiments in Markets," Artefactual Field Experiments j0002, The Field Experiments Website.
    15. Brian Albrecht & Omar Al-Ubaydli & Peter Boettke, 2022. "Testing the Hayek hypothesis: Recent theoretical and experimental evidence," Artefactual Field Experiments 00759, The Field Experiments Website.
    16. Gesche, Tobias, 2018. "Reference Price Shifts and Customer Antagonism: Evidence from Reviews for Online Auctions," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181650, Verein für Socialpolitik / German Economic Association.
    17. Andrea Robbett & Michael K. Graham & Peter Hans Matthews, 2016. "Revenue Implications of Strategic and External Auction Risk," Games, MDPI, vol. 7(1), pages 1-18, January.
    18. Wagner, Alexander F. & Gibson Brandon, Rajna & Sohn, Matthias & Tanner, Carmen, 2018. "Earnings Management and Managerial Honesty: The Investors’ Perspectives," CEPR Discussion Papers 13207, C.E.P.R. Discussion Papers.
    19. Jolivet, Grégory & Jullien, Bruno & Postel-Vinay, Fabien, 2016. "Reputation and prices on the e-market: Evidence from a major French platform," International Journal of Industrial Organization, Elsevier, vol. 45(C), pages 59-75.
    20. Luís Cabral & Ali Hortaçsu, 2010. "The Dynamics Of Seller Reputation: Evidence From Ebay," Journal of Industrial Economics, Wiley Blackwell, vol. 58(1), pages 54-78, March.

    More about this item

    Keywords

    Product Quality; Reputation Systems; Online Markets; Experimental Economics; Markovian Decision Process;
    All these keywords.

    JEL classification:

    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • L12 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Monopoly; Monopolization Strategies
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

    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:pdn:ciepap:85. 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: WP-WiWi-Info or the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/cipadde.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.