JSAI2022

Presentation information

Interactive Session

General Session » Interactive Session

[4Yin2] Interactive session 2

Fri. Jun 17, 2022 12:00 PM - 1:40 PM Room Y (Event Hall)

[4Yin2-39] High-performance Team Analytics: A Method for Exploratory Analysis with Small Sample Data and Its Applications

〇Daisuke Nakama1, Wataru Uno1 (1.HR Analytics & Technology Lab, Recruit Management Solutions Co., Ltd.)

Keywords:Management Application, Organization, Team, HR Data

Since enhancing team performance is an important issue in organizational management, there is a need to utilize human resource data to disentangle the characteristics of high-performance teams. In this study, we propose an analytic method to explore the relationship between all explanatory variables and team performance. The proposed method examines not only the direct effects of each variable, but also the moderation effects of all the combinations among variables, using both linear and nonlinear modeling. The effectiveness of the proposed method was verified with actual team data from three companies. In addition to interviewing the management of each company, we compared the results from the proposed method with those from the existing methods, and confirmed that the proposed method is superior in terms of both robustness and efficiency.

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