Jin Wook Chang
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Articles (3)
Year:
2024
Collective intelligence (CI) captures a team’s ability to work together across a wide range of tasks and can vary significantly between teams. Extant work demonstrates that the level of collective attention a team develops has an important influence on its level of CI. An important question, then, is what enhances collective attention? Prior work demonstrates an association with team composition; here, we additionally examine the influence of team hierarchy and its interaction with team gender composition. To do so, we conduct an experiment with 584 individuals working in 146 teams in which we randomly assign each team to work in a stable, unstable, or unspecified hierarchical team structure and vary team gender composition. We examine how team structure leads to different behavioral manifestations of collective attention as evidenced in team speaking patterns. We find that a stable hierarchical structure increases more cooperative, synchronous speaking patterns but that unstable hierarchical structure and a lack of specified hierarchical structure both increase competitive, interruptive speaking patterns. Moreover, the effect of cooperative versus competitive speaking patterns on collective intelligence is moderated by the teams’ gender composition; majority female teams exhibit higher CI when their speaking patterns are more cooperative and synchronous, whereas all male teams exhibit higher CI when their speaking involves more competitive interruptions. We discuss the theoretical and practical implications of our findings for enhancing collective intelligence in organizational teams. Funding: This work was supported by the National Science Foundation [Grant VOSS-1322254], Division of Information and Intelligent Systems [Grant 1322241], Army Research Office [Grant W911NF-20-1-0006], Defense Advanced Research Projects Agency [Grant W911NF-20-1-0006], and Army Research Laboratory [Grant W911NF-19-2-0135]. Supplemental Material: The e-companion is available at https://doi.org/10.1287/orsc.2022.1602 .
Year:
2023
Year:
2022
Collaborators (31)
Grzegorz Pawlina
University of Lancaster
Christoph Huber
Aalto University
Leonie Gerhards
King’s College London
Roel van Veldhuizen
Associate Professor
Lund University
Alex Young
Associate Professor
Hofstra University
Adriaan Soetevent
Professor of Microeconomics
University of Groningen
Christoph Merkle
Aarhus University
Azizjon Alimov
-
Qiang Kang
Florida International University
Vitali Alexeev
Associate Professor
University of Technology, Sydney
Jonas Nygaard Eriksen
VIP, Associate Professor
Aarhus University
Victor Gonzalez-Jimenez
Erasmus University Rotterdam
Niels Holtrop
University of Maastricht
Miloš Fišar
assistant professor
Masaryk University
Christoph Riedl
Northeastern University
Rainer Michael Rilke
Professor
WHU - Otto Beisheim School of Management
Markus Walzl
Full Professor
University of Innsbruck
Jonathan Luffarelli
Associate Professor
Montpellier Business School
Tae-Youn Park
Associate Professor
Sungkyunkwan University
Kejia Hu
University of Oxford
Alper Darendeli
Assistant Professor
Nanyang Technological University (NTU)
Felix Holzmeister
Assistant Professor (Tenure-Track)
University of Innsbruck
David Tannenbaum
University of Utah
Egle Karmaziene
University of Amsterdam
Elif E. Demiral Saglam
East Tennessee State University
Wolfgang Luhan
Reader in Behavioural Economics
-
Andre Augusto Cire
University of Toronto
Tingting Ding
James Madison University
Anna Bernard
Assistant Professor
Universidade Católica Portuguesa Católica Porto Business School
Daniel E. Chavez
Assistant Professor
The University of Tennessee Knoxville
Nebojsa Davcik
Associate Professor of Marketing
EM Normandie Business School
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