IDEAS home Printed from https://ideas.repec.org/a/spr/jcsosc/v4y2021i2d10.1007_s42001-020-00083-8.html
   My bibliography  Save this article

Closed-mindedness and insulation in groupthink: their effects and the devil’s advocacy as a preventive measure

Author

Listed:
  • Muqtafi Akhmad

    (Tokyo Institute of Technology)

  • Shuang Chang

    (Tokyo Institute of Technology)

  • Hiroshi Deguchi

    (Tokyo Institute of Technology)

Abstract

This paper’s purpose is to clarify groupthink phenomena and to assess the devil’s advocacy as a groupthink prevention measure. An agent-based model is presented to formalize group closed-mindedness and insulation in a group decision making setting. The model was validated by showing that groupthink results in the decision with low quality and the group’s inability to explore more alternatives. Besides that, the devil’s advocacy also formulated in the model. The simulation results of different conditions of the devil’s advocacy support Janis’ suggestion to utilize the devil’s advocacy to alleviate groupthink. It is also found that the utilization of devil’s advocacy depends on the group’s condition and the desired amount of conflict to produce the best decision.

Suggested Citation

  • Muqtafi Akhmad & Shuang Chang & Hiroshi Deguchi, 2021. "Closed-mindedness and insulation in groupthink: their effects and the devil’s advocacy as a preventive measure," Journal of Computational Social Science, Springer, vol. 4(2), pages 455-478, November.
  • Handle: RePEc:spr:jcsosc:v:4:y:2021:i:2:d:10.1007_s42001-020-00083-8
    DOI: 10.1007/s42001-020-00083-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s42001-020-00083-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s42001-020-00083-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jan W. Rivkin & Nicolaj Siggelkow, 2003. "Balancing Search and Stability: Interdependencies Among Elements of Organizational Design," Management Science, INFORMS, vol. 49(3), pages 290-311, March.
    2. Schwenk, Charles R., 1990. "Effects of devil's advocacy and dialectical inquiry on decision making: A meta-analysis," Organizational Behavior and Human Decision Processes, Elsevier, vol. 47(1), pages 161-176, October.
    3. Giuseppe Carbone & Ilaria Giannoccaro, 2015. "Model of human collective decision-making in complex environments," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 88(12), pages 1-10, December.
    4. Paul Windrum & Giorgio Fagiolo & Alessio Moneta, 2007. "Empirical Validation of Agent-Based Models: Alternatives and Prospects," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 1-8.
    5. Matteo Richiardi & Roberto Leombruni & Nicole J. Saam & Michele Sonnessa, 2006. "A Common Protocol for Agent-Based Social Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(1), pages 1-15.
    6. Ikujiro Nonaka, 1994. "A Dynamic Theory of Organizational Knowledge Creation," Organization Science, INFORMS, vol. 5(1), pages 14-37, February.
    7. Jie Yan & Renjing Liu & Guangjun Zhang, 2018. "Task Structure, Individual Bounded Rationality and Crowdsourcing Performance: An Agent-Based Simulation Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(4), pages 1-12.
    8. Fleming, Lee & Sorenson, Olav, 2001. "Technology as a complex adaptive system: evidence from patent data," Research Policy, Elsevier, vol. 30(7), pages 1019-1039, August.
    9. Esser, James K., 1998. "Alive and Well after 25 Years: A Review of Groupthink Research," Organizational Behavior and Human Decision Processes, Elsevier, vol. 73(2-3), pages 116-141, February.
    10. Francesca Riccobono & Manfredi Bruccoleri & Andreas Größler, 2016. "Groupthink and Project Performance: The Influence of Personal Traits and Interpersonal Ties," Production and Operations Management, Production and Operations Management Society, vol. 25(4), pages 609-629, April.
    11. Agnieszka Kowalska-Styczeń & Krzysztof Malarz & Kamil Paradowski, 2018. "Model of Knowledge Transfer Within an Organisation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(2), pages 1-3.
    12. Paulus, Paul B. & Yang, Huei-Chuan, 2000. "Idea Generation in Groups: A Basis for Creativity in Organizations," Organizational Behavior and Human Decision Processes, Elsevier, vol. 82(1), pages 76-87, May.
    13. Ganco, Martin, 2017. "NK model as a representation of innovative search," Research Policy, Elsevier, vol. 46(10), pages 1783-1800.
    14. Sylvie Geisendorf, 2010. "Searching NK Fitness Landscapes: On the Trade Off Between Speed and Quality in Complex Problem Solving," Computational Economics, Springer;Society for Computational Economics, vol. 35(4), pages 395-406, April.
    15. Nicolaj Siggelkow & Daniel A. Levinthal, 2003. "Temporarily Divide to Conquer: Centralized, Decentralized, and Reintegrated Organizational Approaches to Exploration and Adaptation," Organization Science, INFORMS, vol. 14(6), pages 650-669, December.
    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. Massari, Giovanni F. & Giannoccaro, Ilaria & Carbone, Giuseppe, 2019. "Are distrust relationships beneficial for group performance? The influence of the scope of distrust on the emergence of collective intelligence," International Journal of Production Economics, Elsevier, vol. 208(C), pages 343-355.
    2. Madeline K. Kneeland & Melissa A. Schilling & Barak S. Aharonson, 2020. "Exploring Uncharted Territory: Knowledge Search Processes in the Origination of Outlier Innovation," Organization Science, INFORMS, vol. 31(3), pages 535-557, May.
    3. Karén Hovhannissian & Marco Valente, 2004. "Modeling Directed Local Search Strategies on Technology Landscapes: Depth and Breadth," ROCK Working Papers 028, Department of Computer and Management Sciences, University of Trento, Italy, revised 17 Jun 2008.
    4. Frenken, Koen, 2006. "A fitness landscape approach to technological complexity, modularity, and vertical disintegration," Structural Change and Economic Dynamics, Elsevier, vol. 17(3), pages 288-305, September.
    5. Giannoccaro, Ilaria & Galesic, Mirta & Massari, Giovanni Francesco & Barkoczi, Daniel & Carbone, Giuseppe, 2020. "Search behavior of individuals working in teams: A behavioral study on complex landscapes," Journal of Business Research, Elsevier, vol. 118(C), pages 507-516.
    6. Oliver Baumann, 2015. "Models of complex adaptive systems in strategy and organization research," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 14(2), pages 169-183, November.
    7. John C. Butler & Jovan Grahovac, 2012. "Learning, Imitation, and the Use of Knowledge: A Comparison of Markets, Hierarchies, and Teams," Organization Science, INFORMS, vol. 23(5), pages 1249-1263, October.
    8. Valente Houhannisian, 2004. "Modeling Directod Local Search Strategies on Technology Landscapes and Breadth," Quaderni DISA 091, Department of Computer and Management Sciences, University of Trento, Italy, revised 17 Jun 2008.
    9. Daniel Albert, 2018. "Organizational Module Design and Architectural Inertia: Evidence from Structural Recombination of Business Divisions," Organization Science, INFORMS, vol. 29(5), pages 890-911, October.
    10. Bleda, Mercedes & Querbes, Adrien & Healey, Mark, 2021. "The influence of motivational factors on ongoing product design decisions," Journal of Business Research, Elsevier, vol. 129(C), pages 562-569.
    11. Magdalena Dobrajska & Stephan Billinger & Samina Karim, 2015. "Delegation Within Hierarchies: How Information Processing and Knowledge Characteristics Influence the Allocation of Formal and Real Decision Authority," Organization Science, INFORMS, vol. 26(3), pages 687-704, June.
    12. Namjun Cha & Junseok Hwang & Eungdo Kim, 2020. "The optimal knowledge creation strategy of organizations in groupthink situations," Computational and Mathematical Organization Theory, Springer, vol. 26(2), pages 207-235, June.
    13. Friederike Wall, 2016. "Agent-based modeling in managerial science: an illustrative survey and study," Review of Managerial Science, Springer, vol. 10(1), pages 135-193, January.
    14. Helmut M. Dietl & Markus Lang & Eric Lucas & Dirk Martignoni, 2012. "Learning Through Inaccurate Replication," Working Papers 312, University of Zurich, Department of Business Administration (IBW).
    15. Paolo Zeppini & Koen Frenken & Roland Kupers, 2013. "Threshold models of technological transitions," Working Papers 13-06, Eindhoven Center for Innovation Studies, revised Aug 2013.
    16. Giovanni Gavetti & Constance E. Helfat & Luigi Marengo, 2017. "Searching, Shaping, and the Quest for Superior Performance," Strategy Science, INFORMS, vol. 2(3), pages 194-209, September.
    17. Yuchen Zhang & Wei Yang, 2022. "Breakthrough invention and problem complexity: Evidence from a quasi‐experiment," Strategic Management Journal, Wiley Blackwell, vol. 43(12), pages 2510-2544, December.
    18. Sai Yayavaram & Wei-Ru Chen, 2015. "Changes in firm knowledge couplings and firm innovation performance: The moderating role of technological complexity," Strategic Management Journal, Wiley Blackwell, vol. 36(3), pages 377-396, March.
    19. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    20. Flaminio Squazzoni, 2010. "The impact of agent-based models in the social sciences after 15 years of incursions," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 18(2), pages 197-234.

    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:spr:jcsosc:v:4:y:2021:i:2:d:10.1007_s42001-020-00083-8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.