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When shared cognition leads to closed minds: Temporal mental models, team learning, adaptation and performance

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  • Santos, Catarina Marques
  • Passos, Ana Margarida
  • Uitdewilligen, Sjir

Abstract

In this study we examined the moderating effect of temporal mental model accuracy on the relationship between temporal mental model similarity and team learning. Further, we investigated the mediating mechanism of team adaptation in the relationship between team learning and performance. The study was conducted in a management simulation involving 68 teams (319 individuals). We collected data at three time points. The results showed that when accuracy is high, temporal mental model similarity is not significantly related to team learning; whereas, when accuracy is low, the more similar the team members' mental models are, the less they engage in learning behaviors. This suggests that sharing an inaccurate mental model leads to closed minds. In addition, we found team adaptation to mediate the relationship between team learning and performance. These findings emphasize the importance of temporal mental models in predicting team learning, and the importance of team learning for team adaptation and performance.

Suggested Citation

  • Santos, Catarina Marques & Passos, Ana Margarida & Uitdewilligen, Sjir, 2016. "When shared cognition leads to closed minds: Temporal mental models, team learning, adaptation and performance," European Management Journal, Elsevier, vol. 34(3), pages 258-268.
    • Handle: RePEc:eee:eurman:v:34:y:2016:i:3:p:258-268
    DOI: 10.1016/j.emj.2015.11.006
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    1. James G. March, 1991. "Exploration and Exploitation in Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 71-87, February.
    2. Gersick, Connie J. G. & Hackman, J. Richard, 1990. "Habitual routines in task-performing groups," Organizational Behavior and Human Decision Processes, Elsevier, vol. 47(1), pages 65-97, October.
    3. Ancona, Deborah G. (Deborah Gladstein) & Chong, Chee Leong., 1999. "Cycles and synchrony : the temporal role of context in team behavior," Working papers WP 4066-99., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    4. Guiette, Alain & Vandenbempt, Koen, 2013. "Exploring team mental model dynamics during strategic change implementation in professional service organizations. A sensemaking perspective," European Management Journal, Elsevier, vol. 31(6), pages 728-744.
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    Cited by:

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    2. Cegarra-Navarro, Juan-Gabriel & Wensley, Anthony K.P. & Martínez-Martínez, Aurora & García-Pérez, Alexeis, 2020. "Linking organisational commitment with continuous learning through peripheral vision and procedural memory," European Management Journal, Elsevier, vol. 38(6), pages 874-883.
    3. Chun-Chieh Kao, 2019. "Development of Team Cohesion and Sustained Collaboration Skills with the Sport Education Model," Sustainability, MDPI, vol. 11(8), pages 1-15, April.

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