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What We Learned about Longitudinal Team Communication

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Computational Methods to Examine Team Communication

Part of the book series: Computational Social Sciences ((CSS))

Abstract

Throughout this book, we have examined longitudinal team communication to glimpse into the inner workings of teams. Our efforts provide insights into what, when, how, and why team communication changes over time, including any corresponding impact on performance. Further, we have shown that conditions under which teams are collaborating matter. In this chapter, we bring these insights together to look holistically at what has been learned from this research. In particular, we translate the research findings into specific research recommendations and on-the-ground managerial implications. We then articulate the theoretical contributions that may be derived from our efforts and the value of expanding team researchers’ methodological toolboxes. While acknowledging the limitations of our study, we advance opportunities for new research in this area. We end with concluding thoughts about longitudinal team communication and the importance of considering it to be an integral component of a team’s journey worthy of focused consideration.

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References

  • Bartunek, J. M., & Woodman, R. W. (2015). Beyond Lewin: Toward a temporal approximation of organization development and change. Annual Review of Organizational Psychology and Organizational Behavior, 2, 157–182.

    Article  Google Scholar 

  • Delorme, A., Rousselet, G., Mace, M., & Fabre-Thorpe, M. (2002). Interaction of bottom-up and top-down processing in the fast visual analysis of natural scenes. Cognitive Brain Research, 19, 103–113.

    Article  Google Scholar 

  • Isen, A. M., Daubman, K. A., & Nowicki, G. P. (1987). Positive affect facilitates creative problem solving. Journal of Personality and Social Psychology, 52(6), 1122–1131.

    Article  Google Scholar 

  • Kennedy, D. M., & McComb, S. A. (2014). When teams shift among processes. Journal of Applied Psychology, 99(5), 784–815.

    Article  Google Scholar 

  • Kennedy, D. M., & McComb, S. A. (2017). Simulation and virtual experimentation: Grounding with empirical data. In A. Pilny & M. S. Poole (Eds.), Group processes: Computational and data driven approaches. New York: Springer.

    Google Scholar 

  • Marks, M. A., Mathieu, J. E., & Zaccaro, S. J. (2001). A temporally based framework and taxonomy of team processes. Academy of Management Review, 26(3), 356–376.

    Article  Google Scholar 

  • McComb, S. A., Kennedy, D. M. & Perryman, R. (2014). Identifying structures in team communication using hierarchical clustering, Proceedings of the 2014 ISE Research Conference.

    Google Scholar 

  • McGrath, J. E. (1984). Groups: Interaction and performance. Englewood Cliffs: Prentice Hall.

    Google Scholar 

  • Mønster, D., HĂĄkonsson, D. D., Eskildsen, J. K., & Wallot, S. (2016). Physiological evidence of interpersonal dynamics in a cooperative production task. Physiology and Behavior, 156, 24–34.

    Article  Google Scholar 

  • Pilny, A., & Poole, M. S. (2017). Group processes: Computational and data driven approaches. New York: Springer.

    Book  Google Scholar 

  • Stevens, R., & Galloway, T. (2016). Tracing neurodynamic information flows during teamwork. Nonlinear Dynamics, Psychology, and Life Sciences, 20(2), 271–292.

    Google Scholar 

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McComb, S., Kennedy, D. (2020). What We Learned about Longitudinal Team Communication. In: Computational Methods to Examine Team Communication. Computational Social Sciences. Springer, Cham. https://doi.org/10.1007/978-3-030-36159-4_8

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