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Opinion transmission in organizations: an agent-based modeling approach

Author

Listed:
  • Juliette Rouchier

    (LAMSADE - Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique, CNRS - Centre National de la Recherche Scientifique)

  • Paola Tubaro

    (LRI - Laboratoire de Recherche en Informatique - UP11 - Université Paris-Sud - Paris 11 - CentraleSupélec - CNRS - Centre National de la Recherche Scientifique, CNRS - Centre National de la Recherche Scientifique, University of Greenwich)

  • Cécile Emery

    (University of Greenwich)

Abstract

This paper builds a theoretical framework to detect the conditions under which social influence enables persistence of a shared opinion among members of an organization over time, despite membership turnover. It develops agent-based simulations of opinion evolution in an advice network, whereby opinion is defined in the broad sense of shared understandings on a matter that is relevant for an organization's activities, and on which members have some degree of discretion. We combine a micro-level model of social influence that builds on the "relative agreement" approach of Deffuant et al. (J. Artif. Soc. Simul. 5:4, 2002), and a macro-level structure of interactions that includes a flow of joiners and leavers and allows for criteria of advice tie formation derived from, and grounded in, the empirical literature on intra-organizational networks. We provide computational evidence that persistence of opinions over time is possible in an organization with joiners and leavers, a result that depends on circumstances defined by mode of network tie formation (in particular, criteria for selection of advisors), individual attributes of agents (openness of newcomers to influence, as part of their socialization process), and time-related factors (turnover rate, which regulates the flow of entry and exit in the organization, and establishes a form of endogenous hierarchy based on length of stay). We explore the combined effects of these factors and discuss their implications.

Suggested Citation

  • Juliette Rouchier & Paola Tubaro & Cécile Emery, 2014. "Opinion transmission in organizations: an agent-based modeling approach," Post-Print hal-01300344, HAL.
  • Handle: RePEc:hal:journl:hal-01300344
    DOI: 10.1007/s10588-013-9161-2
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    Cited by:

    1. Bianica Pires & Joshua Goldstein & Emily Molfino & Kathryn Ziemer & Mark Orr & José Jiménez, 2024. "Knowledge sharing in a dynamic, multi-level organization: an agent-based modeling approach," Computational and Mathematical Organization Theory, Springer, vol. 30(1), pages 75-100, March.
    2. Wu, Dong & Zou, Fan, 2025. "Dominant design selected by users: Dynamic interaction and convergence of users," Technovation, Elsevier, vol. 140(C).
    3. Dustin L. Arendt & Leslie M. Blaha, 2015. "Opinions, influence, and zealotry: a computational study on stubbornness," Computational and Mathematical Organization Theory, Springer, vol. 21(2), pages 184-209, June.
    4. Pedro Lopez-Merino & Juliette Rouchier, 2021. "An agent-based model of (food) consumption: Accounting for the Intention-Behaviour-Gap on three dimensions of characteristics with limited knowledge," Post-Print hal-03618377, HAL.
    5. George Butler & Juliette Rouchier & Gabriella Pigozzi, 2021. "Corrigendum to “Mixing Dyadic and Deliberative Opinion Dynamics in an Agent-Based Model of Group Decision-Makingâ€," Complexity, Hindawi, vol. 2021, pages 1-1, February.
    6. Thomas Feliciani & Andreas Flache & Michael Mäs, 2021. "Persuasion without polarization? Modelling persuasive argument communication in teams with strong faultlines," Computational and Mathematical Organization Theory, Springer, vol. 27(1), pages 61-92, March.

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