IDEAS home Printed from https://ideas.repec.org/p/pdn/dispap/55.html
   My bibliography  Save this paper

Can Experience be Trusted? Investigating the Effect of Experience on Decision Biases in Crowdworking Platforms

Author

Listed:
  • Thomas Görzen

    () (University of Paderborn)

Abstract

Companies increasingly involve the crowd for collective decision making and, to aggregate the decisions, they commonly average the scores. By ignoring crowdworkers’ different levels of experience and decision biases, this method may not favor the best outcome. Alternatively, decisions can be weighted in favor of the more experienced judges in the crowd. However, previous research is inconclusive as to whether more experienced individuals are any better at avoiding decision biases. To answer this question, we conduct online crowd-based experiments with a range of treatments, comparing the anchoring effect of individuals with different levels of experience. Results indicate that not only does greater experience not protect crowdworkers from the anchoring effect but it increases their confidence in their decision, compared to less experienced individuals, even if they are wrong. Our findings provide valuable insights for both researchers and practitioners interested in improving the effectiveness of crowdworking decision-making.\\

Suggested Citation

  • Thomas Görzen, 2019. "Can Experience be Trusted? Investigating the Effect of Experience on Decision Biases in Crowdworking Platforms," Working Papers Dissertations 55, Paderborn University, Faculty of Business Administration and Economics.
    • Handle: RePEc:pdn:dispap:55
    as

    Download full text from publisher

    File URL: http://groups.uni-paderborn.de/wp-wiwi/RePEc/pdf/dispap/DP55.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Todd McElroy & Keith Dowd, 2007. "Susceptibility to anchoring effects: How openness-to-experience influences responses to anchoring cues," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 2, pages 48-53, February.
    2. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, September.
    3. Joyce, Ej & Biddle, Gc, 1981. "Anchoring And Adjustment In Probabilistic Inference In Auditing," Journal of Accounting Research, Wiley Blackwell, vol. 19(1), pages 120-145.
    4. Barry L. Bayus, 2013. "Crowdsourcing New Product Ideas over Time: An Analysis of the Dell IdeaStorm Community," Management Science, INFORMS, vol. 59(1), pages 226-244, June.
    5. Mingfeng Lin & Henry C. Lucas & Galit Shmueli, 2013. "Research Commentary ---Too Big to Fail: Large Samples and the p -Value Problem," Information Systems Research, INFORMS, vol. 24(4), pages 906-917, December.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    behavioral economics; digital nudging; decision bias; anchoring; crowdsourcing;

    JEL classification:

    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • M55 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Labor Contracting Devices
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

    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:dispap:55. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (WP-WiWi-Info). General contact details of provider: http://edirc.repec.org/data/fwpadde.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.