基于知识学习的产品研发团队成员配置研究

Research on Product R&D Team Member Configuration Based on Knowledge Learning

摘要:

文章考察两类团队成员知识构成特征,借鉴经验学习和协同学习研究成果,将学习效果映射为基于线性区间的知识水平动态增长,构建以团队学习净收益最大为目标的成员配置模型。结果表明：①知识层级数量及协同学习时间比例的投入对团队学习的净收益产生相反影响；②团队成员规模、协同学习边际收益及成本均是团队基层研发人员配置比例的重要影响因素。本研究揭示了学习在成员配置中的理论价值,对企业组建知识型团队具有重要借鉴意义。

Abstract:

In order to explore the essential laws of knowledge learning in the R D team, the paper examines the knowledge composition characteristics of the two most important team members, and draws on the research results of experiential learning and collaborative learning to map the learning effects into the dynamic growth of knowledge level based on linear intervals., thereby constructing a product R D team member configuration model with the goal of maximizing the net income from team learning. The results of numerical experiments show that: ①The number of knowledge levels and the proportion of collaborative learning time have an opposite effect on the net income of team learning; ②The configurable scale of the team, the marginal benefits and costs of collaborative learning are important factors for the proportion of the team"s grassroots R D personnel. The model contributes to reveal the theoretical value of knowledge learning in the configuration of R D team members, and provides an important reference value for the establishment of knowledge-based teams.