Science Research Management ›› 2016, Vol. 37 ›› Issue (5): 141-149.

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A research on task-driven learning of tacit knowledge

Xia Ni, Hu Bin   

  1. School of Management, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
  • Received:2014-07-18 Revised:2015-10-09 Online:2016-05-20 Published:2016-05-06

Abstract: Due to the characteristics of concealment and non-construction for tacit knowledge, we leverage theory of learning by doing and knowledge transfer, and use simulation method to study the impact of strategy of task assignment, task arrival rate, proportion of different complex task on learning process for tacit knowledge from perspective of task. Simulation results reveal that the strategy for purpose of knowledge increase can promote tacit knowledge learning best, strategy for purpose of minimizing time cost will cause loss for original knowledge, and strategy of task assignment by random can little affect tacit knowledge learning. Task arrival rate measures employees’ work pressure, appropriately increasing work pressure can greatly contribute to tacit knowledge learning. The proportion of different complex task will affect tacit knowledge learning by influencing global task complexity, and it appears an inverted U-shape between task complexity and learning effect of tacit knowledge. No matter what the proportion of different complex tasks is, it may significantly contribute to tacit knowledge learning if only global task complexity is maintained at a moderate level.

Key words: tacit knowledge, task, knowledge transfer, learning by doing, simulation