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Updated: Jun 29, 2025

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The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
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Experience shapes non-linearities between team behavioral interdependence, team collaboration, and performance in
Carlos Carrasco-Farré1, Nancy Hakobjanyan2
1Toulouse Business School, Toulouse, France. c.carrasco-farre@tbs-education.es.
Scientific Reports
|April 3, 2024
Summary
Team performance in Massively Multiplayer Online Games (MMOGs) depends on behavioral interdependence and experience. Excessive collaboration can hinder less experienced teams, while riskier teams perform worse.
Area of Science:
- Behavioral science
- Management research
- Computational social science
Background:
- Team management literature provides insights into performance predictors.
- Massively Multiplayer Online Games (MMOGs) offer large-scale, granular data for analysis.
Purpose of the Study:
- To examine quantitative predictors of team performance in MMOGs.
- To investigate the moderating effect of player experience on behavioral interdependence and performance.
Main Methods:
- Analysis of over 140,000 squad-mode matches involving more than 500,000 players.
- Statistical examination of behavioral interdependence, experience, and team performance.
- Replication and extension of existing team management research using MMOG data.
Main Results:
- Confirmed a curvilinear association between behavioral interdependence and team performance.
- Identified an inverted U-shaped pattern for less experienced teams, where excessive collaboration is counterproductive.
- Observed a linear relationship for experienced teams and found that riskier teams perform worse.
Conclusions:
- Player experience moderates the impact of behavioral interdependence on team performance in MMOGs.
- MMOG data offers a valuable, reproducible, and generalizable resource for behavioral and management research.
- E-sports data can advance social science research due to its digital, large-scale, and granular nature.
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