The Formation and Effect of Affect in Knowledge Intensive Team: A Dynamic Computational Model
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.
KeywordsAffect Team performance Computational experiment Interpersonal knowledge interaction Computational model
This work was partly supported by the National Natural Science Foundation of China under Grant No. 71471028 and No. 71871041.
- 6.Chohra, A., Chohra, A., Madani, K.: Affect in complex decision-making systems: from psychology to computer science perspectives. In: Iliadis, L., Maglogiannis, I., Papadopoulos, H., Sioutas, S., Makris, C. (eds.) AIAI 2014. IAICT, vol. 437, pp. 174–183. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-662-44722-2_19CrossRefGoogle Scholar
- 8.Elfenbein, H.A.: Emotion in organizations: a review and theoretical integration. Ssrn Electron. J. 1(1), 371–457 (2007)Google Scholar
- 10.Fredrickson, B.L.: The role of positive emotions in positive psychology: the broaden-and-build theory of positive emotions. Philos. Trans. R. Soc. Lond. 56(3), 218–226 (2001)Google Scholar
- 11.Smith, L.D.: Behaviorism and logical positivism: a reassessment of the alliance. Contemp. Sociol. 25(3), 467–468 (1986) Google Scholar
- 15.Junior, N.N.T., Vidotti, A.F., Alaranta, M., Fulk, H.K.: The influence of positive emotions on knowledge sharing. In: Americas Conference on Information Systems (2017)Google Scholar
- 18.Loewenstein, G., Lerner, J.S.: The role of affect in decision making, pp. 619–642 (2003)Google Scholar
- 20.Railsback, S.F., Lytinen, S.L., Jackson, S.K.: Agent-based simulation platforms: review and development recommendations. Simul. Trans. Soc. Model. Simul. Int. 82(9), 609–623 (2006)Google Scholar
- 25.Zambonelli, F., Jennings, N.R., Wooldridge, M.: Organizational abstractions for the analysis and design of multi-agent system. In: International Workshop, Aose 2000 on Agent-Oriented Software Engineering, pp. 235–251 (2001)Google Scholar