Jonathan Kush

Recent Research

Guo, J. M., Argote, L., Kush, J., & Park, J. (2024). Communication networks and team performance: selecting members to network positions. Frontiers in Psychology. https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1141571

Kush, J. (2023). A Practical Guide to Performing Transcript Analysis on Group Conversations in Both LIWC and R. Group Dynamics: Theory, Research, and Practice. https://psycnet.apa.org/doi/10.1037/gdn0000204

Kush, J., Aven, B., & Argote, L. (2023). A text-based measure of transactive memory system strength. Small Group Research. https://doi.org/10.1177/10464964231182130

Kush, J. & Tayur, S. (2022). Video intervention to increase decedent tissue donation by next-of-kin. Production and Operations Management. doi: 10.1111/poms.13679

Kush, J. (2019). Conceptual and measurement issues for transactive memory systems: The indicators of TMS. Group Dynamics: Theory, Research, and Practice. Advance online publication. doi: 10.1037/gdn0000097

Argote, L., Aven, B., & Kush, J. (2018). The effects of communication networks and turnover on transactive memory and group performance. Organization Science 29(2), 191. doi: 10.1287/orsc.2017.1176

Kush, J., Williamson, C., & Argote, L. (2012). Challenges and opportunities for group learning and group learning researchers. Research on Managing Groups and Teams, 15, 209-243.

Research Descriptions

Guo et al. (2024) is an experimental study that is about the relative influence of endogeneity on performance in network formation. We found that groups that could select a member to be central in their group chose better able members and that this led to better performance.

Kush (2023) is a methods paper appearing in a special issue in Group Dynamics on using text analysis to study teams.

Kush et al. (2024) started its life as my second Summer paper at CMU. It describes the development of a text-based assessment of TMS. Find an R vignette related to this paper here.

Kush, J. & Tayur, S. (2022). A series of field experiments related to increasing next-of-kin organ and tissue donation through the use of behavioral nudges.This work has been a useful opportunity to investigate new research methods and to do work that has direct and important policy relevance. https://onlinelibrary.wiley.com/doi/10.1111/poms.13679

Kush, J. (2019). Conceptual and measurement issues related to transactive memory systems: The indicators of TMS. Group Dynamics: Theory, Research, and Practice. This is one of several projects I have related to the measurement of TMS. You can find a pre-publication version of this paper here. Essentially, I measured the 3 indicators of TMS [Coordination, Credibility, and (perceived) Specialization] and looked at their relationship to several building blocks to TMS: knowledge, knowledge differentiation, and meta-knowledge.

Argote, L., Aven, B., & Kush, J. (2018). The effects of communication networks and turnover on transactive memory and group performance. Organization Science. In this paper, we used a laboratory experiment to determine that the network of a group can influence their integration of a new member and thus their TMS. Essentially, in a decentralized network where no one has to help integrate a new member, no one does; whereas, in a centralized network, new members are integrated and their unique knowledge helps the team perform better.