IDEAS home Printed from https://ideas.repec.org/r/inm/ormnsc/v60y2014i8p2054-2072.html
   My bibliography  Save this item

Money Talks: Rebate Mechanisms in Reputation System Design

Citations

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


Cited by:

  1. Annika Veh & Markus Göbel & Rick Vogel, 2019. "Corporate reputation in management research: a review of the literature and assessment of the concept," Business Research, Springer;German Academic Association for Business Research, vol. 12(2), pages 315-353, December.
  2. Prüfer, J.O., 2014. "Trusting Privacy in the Cloud," Other publications TiSEM a9a71c30-19c3-466a-9d22-1, Tilburg University, School of Economics and Management.
  3. Grodeck, Ben & Tausch, Franziska & Wang, Chengsi & Xiao, Erte, 2023. "To insure or not to insure? Promoting trust and cooperation with insurance advice in markets," European Economic Review, Elsevier, vol. 160(C).
  4. Gary Bolton & Kevin Breuer & Ben Greiner & Axel Ockenfels, 2023. "Fixing feedback revision rules in online markets," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 32(2), pages 247-256, April.
  5. Lafky, Jonathan & Wilson, Alistair J., 2020. "Experimenting with incentives for information transmission: Quantity versus quality," Journal of Economic Behavior & Organization, Elsevier, vol. 169(C), pages 314-331.
  6. Che, X. & Katayama, H. & Lee, P., 2020. "Willingness to Pay for Brand Reputation: Lessons from the Volkswagen Diesel Emissions Scandal," Working Papers 20/02, Department of Economics, City University London.
  7. Michael Luca & Oren Reshef, 2020. "The Effect of Price on Firm Reputation," NBER Working Papers 27405, National Bureau of Economic Research, Inc.
  8. Luís Cabral & Lingfang (Ivy) Li, 2015. "A Dollar for Your Thoughts: Feedback-Conditional Rebates on eBay," Management Science, INFORMS, vol. 61(9), pages 2052-2063, September.
  9. Xiao, Lu & Wang, Xian-Jia & Chin, Kwai-Sang, 2020. "Trade-in strategies in retail channel and dual-channel closed-loop supply chain with remanufacturing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
  10. Jianqing Chen & Zhiling Guo & Jian Huang, 2022. "An Economic Analysis of Rebates Conditional on Positive Reviews," Information Systems Research, INFORMS, vol. 33(1), pages 224-243, March.
  11. Yan Chen & Peter Cramton & John A. List & Axel Ockenfels, 2021. "Market Design, Human Behavior, and Management," Management Science, INFORMS, vol. 67(9), pages 5317-5348, September.
  12. Cui, Geng & Chung, Yuho & Peng, Ling & Zheng, Wanyi, 2022. "The importance of being earnest: Mandatory vs. voluntary disclosure of incentives for online product reviews," Journal of Business Research, Elsevier, vol. 141(C), pages 633-645.
  13. Prüfer, Jens, 2018. "Trusting privacy in the cloud," Information Economics and Policy, Elsevier, vol. 45(C), pages 52-67.
  14. Lingfang (Ivy) Li & Steven Tadelis & Xiaolan Zhou, 2020. "Buying reputation as a signal of quality: Evidence from an online marketplace," RAND Journal of Economics, RAND Corporation, vol. 51(4), pages 965-988, December.
  15. Zegners, Dainis, 2017. "Building an Online Reputation with Free Content: Evidence from the E-book Market," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168293, Verein für Socialpolitik / German Economic Association.
  16. Dirk van Straaten, 2021. "Incentive Schemes in Customer Rating Systems - Comparing the Effects of Unconditional and Conditional Rebates on Intrinsic Motivation," Working Papers Dissertations 71, Paderborn University, Faculty of Business Administration and Economics.
  17. Halliday, Simon D. & Lafky, Jonathan, 2019. "Reciprocity through ratings: An experimental study of bias in evaluations," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 83(C).
  18. Andrey Fradkin & David Holtz, 2023. "Do Incentives to Review Help the Market? Evidence from a Field Experiment on Airbnb," Marketing Science, INFORMS, vol. 42(5), pages 853-865, September.
  19. Michael Luca & Oren Reshef, 2021. "The Effect of Price on Firm Reputation," Management Science, INFORMS, vol. 67(7), pages 4408-4419, July.
  20. Anna Ressi, 2020. "Discussion of “The Market for Reviews: Strategic Behavior of Online Product Reviewers with Monetary Incentives”," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 72(3), pages 437-445, July.
  21. Dominik Gutt & Jürgen Neumann & Steffen Zimmermann & Dennis Kundisch & Jianqing Chen, 2018. "Design of Review Systems - A Strategic Instrument to shape Online Review Behavior and Economic Outcomes," Working Papers Dissertations 42, Paderborn University, Faculty of Business Administration and Economics.
  22. Zou, Wenbo & Wang, Jinjie & Yan, Jubo, 2022. "Online markets and trust," Journal of Economic Behavior & Organization, Elsevier, vol. 201(C), pages 395-412.
  23. Prüfer, J.O., 2014. "Trusting Privacy in the Cloud," Other publications TiSEM 556bdb81-1b26-4692-877c-1, Tilburg University, School of Economics and Management.
  24. Gary Bolton & Ben Greiner & Axel Ockenfels, 2018. "Dispute Resolution or Escalation? The Strategic Gaming of Feedback Withdrawal Options in Online Markets," Management Science, INFORMS, vol. 64(9), pages 4009-4031, September.
  25. Nikhil Garg & Ramesh Johari, 2021. "Designing Informative Rating Systems: Evidence from an Online Labor Market," Manufacturing & Service Operations Management, INFORMS, vol. 23(3), pages 589-605, May.
  26. Foster, Joshua, 2022. "How rating mechanisms shape user search, quality inference and engagement in online platforms: Experimental evidence," Journal of Business Research, Elsevier, vol. 142(C), pages 791-807.
  27. Jonathan Lafky & Alistair Wilson, 2018. "Quantity Versus Quality: Experimenting with the Margins for Social Information," Working Papers 2018-02, Carleton College, Department of Economics.
  28. Yang, Liu & Dong, Shaozeng, 2018. "Rebate strategy to stimulate online customer reviews," International Journal of Production Economics, Elsevier, vol. 204(C), pages 99-107.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.