Indexed by:会议论文

Date of Publication:2017-11-17

Included Journals:EI

Volume:780

Page Number:227-241

Abstract:The purpose of this study is to research the task allocation problem of the knowledge intensive team (abbreviated as KIT), which is different from the traditional task assignment. We built a KIT system model, designed task allocation strategies and team performance measurement scale, based on complex adaptive system (abbreviated as CAS) theory with regarding the knowledge requirement of tasks as a primer mover, additionally, took into consideration that knowledge exchange behaviors and processes would be contingent when different team members deal with different tasks. The computational experimental method was used to analyze how different allocation strategies impact KIT performance. The experimental results show that different allocation strategies variously influence KIT performance when the team members, team structures, and tasks to be assigned are different. We would be appreciated to help the decision maker, before the real tasks are executed, to apply the computational experiment method proposed in this paper to carry out the task allocation to provide with decision support. © 2017, Springer Nature Singapore Pte Ltd.