Abstract
Rumour is a collective emergent phenomenon with a potential for provoking a crisis. Modelling approaches have been deployed since five decades ago; however, the focus was mostly on epidemic behaviour of the rumours which does not take into account the differences between agents. We use social practice theory to model agent decision-making in organizational rumourmongering. Such an approach provides us with an opportunity to model rumourmongering agents with a layer of cognitive realism and study the impacts of various intervention strategies for prevention and control of rumours in organizations.
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Notes
- 1.
Mercuur et al. [19] provides a static model of SoPrA based on literature and argued modelling choices. This paper applies this model to the domain and extends it by including competences and affordances and modelling a dynamic component based on [17]. Note that Mercuur et al. [19] is still under review and only available as pre-print at the moment of writing.
- 2.
The context element “Friend” and “Colleague” are special cases; these are rather attributes of context elements (i.e. agents) than context elements themselves. In our model these are to some extent implicitly captured, because the agents who one sees most often (i.e. friends, colleagues) are mostly likely to be habitually associated with an action.
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Contributions and Acknowledgement
Ebrahimi Fard and Mercuur wrote the first draft. Ebrahimi Fard provided the domain knowledge and collected most data, whereas Mercuur provided the meta-model and methodological knowledge. Dignum, Jonker and van der Walle supervised the process and contributed to the draft by providing comments, feedback and rewriting. This research was supported by the Engineering Social Technologies for a Responsible Digital Future project at TU Delft and ETH Zurich.
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Fard, A.E., Mercuur, R., Dignum, V., Jonker, C.M., van de Walle, B. (2020). Towards Agent-Based Models of Rumours in Organizations: A Social Practice Theory Approach. In: Verhagen, H., Borit, M., Bravo, G., Wijermans, N. (eds) Advances in Social Simulation. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-34127-5_13
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