IDEAS home Printed from https://ideas.repec.org/a/bla/randje/v48y2017i2p438-466.html

Performance feedback in competitive product development

Author

Listed:
  • Daniel P. Gross

Abstract

Performance feedback is ubiquitous in competitive settings where new products are developed. This article introduces a fundamental tension between incentives and improvement in the provision of feedback. Using a sample of four thousand commercial logo design tournaments, I show that feedback reduces participation but improves the quality of subsequent submissions, with an ambiguous effect on high-quality output. To evaluate this tradeoff, I develop a procedure to estimate agents' effort costs and simulate counterfactuals under alternative feedback policies. The results suggest that feedback on net increases the number of high-quality ideas produced and is thus desirable for a principal seeking innovation.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Daniel P. Gross, 2017. "Performance feedback in competitive product development," RAND Journal of Economics, RAND Corporation, vol. 48(2), pages 438-466, May.
  • Handle: RePEc:bla:randje:v:48:y:2017:i:2:p:438-466
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/rand.2017.48.issue-2
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Tarantino, Emanuele & Simcoe, Timothy S. & Ganglmair, Bernhard, 2018. "Learning When to Quit: An Empirical Model of Experimentation," CEPR Discussion Papers 12733, C.E.P.R. Discussion Papers.
    2. Jürgen Mihm & Jochen Schlapp, 2019. "Sourcing Innovation: On Feedback in Contests," Management Science, INFORMS, vol. 65(2), pages 559-576, February.
    3. Pavel Kireyev, 2016. "Markets for Ideas: Prize Structure, Entry Limits, and the Design of Ideation Contests," Harvard Business School Working Papers 16-129, Harvard Business School.
    4. Segev, Ella, 2020. "Crowdsourcing contests," European Journal of Operational Research, Elsevier, vol. 281(2), pages 241-255.
    5. Pavel Kireyev, 2020. "Markets for ideas: prize structure, entry limits, and the design of ideation contests," RAND Journal of Economics, RAND Corporation, vol. 51(2), pages 563-588, June.
    6. Quignon, Aurelien, 2023. "Crowd-based feedback and early-stage entrepreneurial performance: Evidence from a digital platform," Research Policy, Elsevier, vol. 52(7).
    7. Jorge Lemus & Emil Temnyalov, 2024. "Diversification and information in contests," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 78(1), pages 263-294, August.
    8. Daniel P. Gross, 2020. "Creativity Under Fire: The Effects of Competition on Creative Production," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 583-599, July.
    9. Kimmy Wa Chan & Stella Yiyan Li & Jian Ni & John JianJun Zhu, 2021. "What Feedback Matters? The Role of Experience in Motivating Crowdsourcing Innovation," Production and Operations Management, Production and Operations Management Society, vol. 30(1), pages 103-126, January.
    10. Zhaohui (Zoey) Jiang & Yan Huang & Damian R. Beil, 2022. "The Role of Feedback in Dynamic Crowdsourcing Contests: A Structural Empirical Analysis," Management Science, INFORMS, vol. 68(7), pages 4858-4877, July.
    11. Sabrina T. Howell, 2017. "Reducing Information Frictions in Venture Capital: The Role of New Venture Competitions," NBER Working Papers 23874, National Bureau of Economic Research, Inc.

    More about this item

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C57 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Econometrics of Games and Auctions
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • M55 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Labor Contracting Devices
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

    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:bla:randje:v:48:y:2017:i:2:p:438-466. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/randdus.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.