Abstract
This paper’s purpose is to investigate the formation patterns of cognitive trust, the mechanisms by which it functions, and the characteristics of its influence on team performance. Toward this end, we present herein a deep computational experiment. We argue that a knowledge-intensive team is a complex adaptive system and that knowledge transfer in interpersonal interaction mediates between cognitive trust and team performance. Agent-based artificial teams, as a possible alternative form of real teams, are built in a computer, which acts as an experimental laboratory for investigating team activities. In particular, the modeling deeply penetrates internal psychological activities. A deep computational experiment is conducted under different internal and external conditions for the artificial team, yielding the following results. (1) Cognitive trust contributes to better team performance, while negative cognitive trust leads to worse team performance. (2) Simple and moderate tasks improve the formation of positive cognitive trust, while difficult tasks increase the formation of negative cognitive trust. The study method and findings presented herein are appropriate for other studies focusing on psychological effects on team, laying the foundations for new ideas for studying team building and team development.
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This work was partly supported by the National Natural Science Foundation of China under Grant No.71471028.
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Hu, D., Dang, Y., Yue, X., Yang, G. (2018). The Effect of Cognitive Trust on Team Performance: A Deep Computational Experiment. In: Chen, J., Yamada, Y., Ryoke, M., Tang, X. (eds) Knowledge and Systems Sciences. KSS 2018. Communications in Computer and Information Science, vol 949. Springer, Singapore. https://doi.org/10.1007/978-981-13-3149-7_14
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DOI: https://doi.org/10.1007/978-981-13-3149-7_14
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