Abstract
This paper’s purpose is to investigate the formation process of affect, the mechanisms by which it functions, and the dynamic characteristics of its influence on team performance. Toward this end, we present a computational experiment based on agent-based modeling. In particular, the modeling deeply penetrates internal psychological activities. Two computational experiments are conducted under different internal and external conditions for the team, yielding the following results. The process of affect formation is influenced by not only difficulty but also order of the task. Processing task from simple to difficult improves the formation of positive affect and facilitates team performance. While processing task from difficult to simple leads to the formation of negative affect and obstructs team performance. This research extends prior findings by examining the dynamic interplay of the determinants of affect over time and the study method 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 and No. 71871041.
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Yue, X., Dang, Y., Hu, D., Wu, J. (2019). The Formation and Effect of Affect in Knowledge Intensive Team: A Dynamic Computational Model. In: Chen, J., Huynh, V., Nguyen, GN., Tang, X. (eds) Knowledge and Systems Sciences. KSS 2019. Communications in Computer and Information Science, vol 1103. Springer, Singapore. https://doi.org/10.1007/978-981-15-1209-4_6
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DOI: https://doi.org/10.1007/978-981-15-1209-4_6
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