Linking adaptation processes to team performance in high-tempo, high-stakes teamwork : a large-scale gaming perspective

Authors
Eaton, Joshua A. N.
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Other Contributors
Mendonça, David
Gray, Wayne D., 1950-
Pazour, Jennifer A.
Evangelista, Paul F.
Issue Date
2020-05
Keywords
Decision sciences and engineering systems
Degree
PhD
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
The first study investigates the effect of losing a "critical" team member (CTM) on the performance of teams. A CTM is any individual whose presence or absence has a substantial impact on a team's performance. In this study, data from LoL gameplay from randomly sampled, ranked matches are used to examine team processes and performance outcomes when the CTM is present or absent. Statistical analysis is used to explore the effects on team performance. Initial results indicate that the presence or absence of a CTM has a significant impact on team processes and performance outcomes. This research illustrates the feasibility of exploring online gaming data for new insights into team performance, leading to a larger study on team effectiveness.
Description
May 2020
School of Engineering
Department
Dept. of Industrial and Systems Engineering
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
Access
Restricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Libraries.