IDEAS home Printed from https://ideas.repec.org/p/inn/wpaper/2010-17.html
   My bibliography  Save this paper

Teams Make You Smarter: Learning and Knowledge Transfer in Auctions and Markets by Teams and Individuals

Author

Listed:
  • Boris Maciejovsky
  • Matthias Sutter
  • David V. Budescu
  • Patrick Bernau

Abstract

We study the impact of team decision making on market behavior and its consequences for subsequent individual performance in the Wason selection task, the single-most studied reasoning task. We reformulated the task in terms of "assets" in a market context. Teams of traders learn the task's solution faster than individuals and achieve this with weaker, less specific, performance feedback. Some teams even perform better than the best individuals. The experience of team decision-making in the market also creates positive knowledge spillovers for post-market individual performance in solving new Wason tasks, implying that team experiences enhance individual problem-solving skills.

Suggested Citation

  • Boris Maciejovsky & Matthias Sutter & David V. Budescu & Patrick Bernau, 2010. "Teams Make You Smarter: Learning and Knowledge Transfer in Auctions and Markets by Teams and Individuals," Working Papers 2010-17, Faculty of Economics and Statistics, Universität Innsbruck.
  • Handle: RePEc:inn:wpaper:2010-17
    as

    Download full text from publisher

    File URL: https://www2.uibk.ac.at/downloads/c4041030/wpaper/2010-17.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. David V. Budescu & Boris Maciejovsky, 2004. "The Effect of Monetary Feedback and Information Spillovers on Cognitive Errors: Evidence from Competitive Markets," Papers on Strategic Interaction 2004-32, Max Planck Institute of Economics, Strategic Interaction Group.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Collective vs individual decisions
      by chris dillow in Stumbling and Mumbling on 2010-07-30 19:03:35

    Citations

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


    Cited by:

    1. Alessia Isopi & Daniele Nosenzo & Chris Starmer, 2014. "Does consultation improve decision-making?," Theory and Decision, Springer, vol. 77(3), pages 377-388, October.
    2. Alessia Isopi & Daniele Nosenzo & Chris Starmer, 2014. "Does consultation improve decision-making?," Theory and Decision, Springer, vol. 77(3), pages 377-388, October.
    3. repec:cup:judgdm:v:8:y:2013:i:3:p:299-329 is not listed on IDEAS
    4. Carbone, Enrica & Infante, Gerardo, 2015. "Are groups better planners than individuals? An experimental analysis," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 57(C), pages 112-119.
    5. Juliane E. Kaemmer & Wolfgang Gaissmaier & Uwe Czienskowski, 2013. "The environment matters: Comparing individuals and dyads in their adaptive use of decision strategies," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 8(3), pages 299-329, May.

    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. Klijn, Flip & Pais, Joana & Vorsatz, Marc, 2019. "Static versus dynamic deferred acceptance in school choice: Theory and experiment," Games and Economic Behavior, Elsevier, vol. 113(C), pages 147-163.
    2. Christoph Engel & André Schmelzer, 2017. "Committing the English and the Continental Way – An Experiment," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2017_16, Max Planck Institute for Research on Collective Goods.
    3. Fischbacher, Urs & Gächter, Simon & Quercia, Simone, 2012. "The behavioral validity of the strategy method in public good experiments," Journal of Economic Psychology, Elsevier, vol. 33(4), pages 897-913.
    4. Recalde, M.P. & Riedl, A.M. & Vesterlund, L., 2014. "Error prone inference from respons time: The case of intuitive generosity," Research Memorandum 034, Maastricht University, Graduate School of Business and Economics (GSBE).
    5. Gürerk, Özgür, 2013. "Social learning increases the acceptance and the efficiency of punishment institutions in social dilemmas," Journal of Economic Psychology, Elsevier, vol. 34(C), pages 229-239.
    6. Ederer, Florian & Stremitzer, Alexander, 2017. "Promises and expectations," Games and Economic Behavior, Elsevier, vol. 106(C), pages 161-178.
    7. Buckert, Magdalena & Oechssler, Jörg & Schwieren, Christiane, 2017. "Imitation under stress," Journal of Economic Behavior & Organization, Elsevier, vol. 139(C), pages 252-266.
    8. Nagore Iriberri & Pedro Rey‐Biel, 2013. "Elicited beliefs and social information in modified dictator games: What do dictators believe other dictators do?," Quantitative Economics, Econometric Society, vol. 4(3), pages 515-547, November.
    9. Li, Wenhui & Wilde, Christian, 2020. "Belief formation and belief updating under ambiguity: Evidence from experiments," SAFE Working Paper Series 251, Leibniz Institute for Financial Research SAFE, revised 2020.
    10. García-Pola, Bernardo & Iriberri, Nagore & Kovářík, Jaromír, 2020. "Non-equilibrium play in centipede games," Games and Economic Behavior, Elsevier, vol. 120(C), pages 391-433.
    11. Bosch-Domènech, Antoni & Vriend, Nicolaas J., 2013. "On the role of non-equilibrium focal points as coordination devices," Journal of Economic Behavior & Organization, Elsevier, vol. 94(C), pages 52-67.
    12. Eva M. Krockow & Masanori Takezawa & Briony D. Pulford & Andrew M. Colman & Samuel Smithers & Toshimasa Kita & Yo Nakawake, 2018. "Commitment-enhancing tools in Centipede games: Evidencing European–Japanese differences in trust and cooperation," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 13(1), pages 61-72, January.
    13. Wendelin Schnedler & Nina Lucia Stephan, 2020. "Revisiting a Remedy Against Chains of Unkindness," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 72(3), pages 347-364, July.
    14. Kyung Hwan Baik & Subhasish M. Chowdhury & Abhijit Ramalingam, 2021. "Group size and matching protocol in contests," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 54(4), pages 1716-1736, November.
    15. Banerjee, Simanti & Conte, Marc, 2018. "Complexity and Efficiency in Conservation Auctions: Evidence from a Laboratory Experiment," Cornhusker Economics 307041, University of Nebraska-Lincoln, Department of Agricultural Economics.
    16. Haruvy, Ernan & Roth, Alvin E. & Unver, M. Utku, 2006. "The dynamics of law clerk matching: An experimental and computational investigation of proposals for reform of the market," Journal of Economic Dynamics and Control, Elsevier, vol. 30(3), pages 457-486, March.
    17. repec:hal:cepnwp:hal-00841167 is not listed on IDEAS
    18. Bouton, Laurent & Castanheira, Micael & Llorente-Saguer, Aniol, 2016. "Divided majority and information aggregation: Theory and experiment," Journal of Public Economics, Elsevier, vol. 134(C), pages 114-128.
    19. Basteck, Christian & Klaus, Bettina & Kübler, Dorothea, 2021. "How lotteries in school choice help to level the playing field," Games and Economic Behavior, Elsevier, vol. 129(C), pages 198-237.
    20. Jos Jansen & Andreas Pollak, 2014. "Strategic Disclosure of Demand Information by Duopolists: Theory and Experiment," Economics Working Papers 2014-20, Department of Economics and Business Economics, Aarhus University.
    21. Reuben, Ernesto & Sapienza, Paola & Zingales, Luigi, 2015. "Procrastination and impatience," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 58(C), pages 63-76.

    More about this item

    Keywords

    Wason selection task; rationality; team decision making; individual decision making; auction;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior

    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:inn:wpaper:2010-17. 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: Judith Courian The email address of this maintainer does not seem to be valid anymore. Please ask Judith Courian to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/fuibkat.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.