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The Effect of Organizational Communication Media on Organizational Culture and Performance: An Agent-Based Simulation Model

Author

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  • Enrique Canessa

    (Universidad “Adolfo Ibañez”)

  • Rick L. Riolo

    (University of Michigan)

Abstract

This paper examines the mutual relationship between the communication richness of media used for conducting organizational communication and organizational culture. The richness of the media influences how well the organization might maintain its culture. On the other hand, a strong organizational culture allows a more effective use of the media by providing members with some of the necessary common ground to better understand the information exchanged. These relationships are investigated using an agent-based simulation model (ABM). Our ABM incorporates many partial theories into a coherent and fully defined model, which helps formalize and integrate those theories. Our model allows us to analyze non-linearities and interaction effects, which are difficult to investigate using other techniques. Additionally, the ABM allows us to investigate the dynamics of the phenomenon and generate hypotheses that could then be tested using empirical studies. Given the substantial resources necessary to conduct empirical studies, we think that the present ABM is valuable in helping guide data collection efforts. In this paper, we present results that show that organizational culture can influence the effectiveness of the media used for organizational communication and that a high media richness can help maintain and stabilize a culture. The effect of media richness on organizational culture depends on the initial strength of the culture. In general, for a given richness of the media, an initially strong culture stabilizes faster and becomes stronger through time than an initially weak culture. Additionally, the model suggests that a stable network of contacts among agents fosters a high achievement of organizational tasks. Conversely, when agents are forced to establish contacts with agents outside the usual network for doing their work, the accomplishment of tasks decreases.

Suggested Citation

  • Enrique Canessa & Rick L. Riolo, 2003. "The Effect of Organizational Communication Media on Organizational Culture and Performance: An Agent-Based Simulation Model," Computational and Mathematical Organization Theory, Springer, vol. 9(2), pages 147-176, July.
  • Handle: RePEc:spr:comaot:v:9:y:2003:i:2:d:10.1023_b:cmot.0000022753.91962.99
    DOI: 10.1023/B:CMOT.0000022753.91962.99
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    References listed on IDEAS

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    Cited by:

    1. Lei Zhu & Izak Benbasat & Zhenhui Jiang, 2010. "Let's Shop Online Together: An Empirical Investigation of Collaborative Online Shopping Support," Information Systems Research, INFORMS, vol. 21(4), pages 872-891, December.
    2. Ning Nan & Erik W. Johnston & Judith S. Olson, 2008. "Unintended consequences of collocation: using agent-based modeling to untangle effects of communication delay and in-group favor," Computational and Mathematical Organization Theory, Springer, vol. 14(2), pages 57-83, June.
    3. Zhenhui (Jack) Jiang & Cheng Suang Heng & Ben C. F. Choi, 2013. "Research Note —Privacy Concerns and Privacy-Protective Behavior in Synchronous Online Social Interactions," Information Systems Research, INFORMS, vol. 24(3), pages 579-595, September.
    4. Silva Roncelli Vaupot & Tanja Rajkovic & Geni Arh, 2011. "Towards a Communication Model for a Virtual Organization," MIC 2011: Managing Sustainability? Proceedings of the 12th International Conference, Portorož, 23–26 November 2011 [Selected Papers],, University of Primorska, Faculty of Management Koper.
    5. Rita Aryani & Widodo Widodo, 2020. "The Determinant of Organizational Culture and Its Impact on Organization: A Conceptual Framework," International Journal of Higher Education, Sciedu Press, vol. 9(3), pages 1-64, June.

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