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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
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.
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.
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.
Kennedy, D. M., & McComb, S. A. (2014). When teams shift among processes. Journal of Applied Psychology, 99(5), 784–815.
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.
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.
McComb, S. A., Kennedy, D. M. & Perryman, R. (2014). Identifying structures in team communication using hierarchical clustering, Proceedings of the 2014 ISE Research Conference.
McGrath, J. E. (1984). Groups: Interaction and performance. Englewood Cliffs: Prentice Hall.
Mønster, D., Håkonsson, D. D., Eskildsen, J. K., & Wallot, S. (2016). Physiological evidence of interpersonal dynamics in a cooperative production task. Physiology and Behavior, 156, 24–34.
Pilny, A., & Poole, M. S. (2017). Group processes: Computational and data driven approaches. New York: Springer.
Stevens, R., & Galloway, T. (2016). Tracing neurodynamic information flows during teamwork. Nonlinear Dynamics, Psychology, and Life Sciences, 20(2), 271–292.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1007/978-3-030-36159-4_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-36158-7
Online ISBN: 978-3-030-36159-4
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)