团队构成
知识管理
团队学习
团队效能
心理安全
知识共享
心理学
信息共享
过程(计算)
独创性
计算机科学
社会心理学
合作学习
教学方法
操作系统
万维网
教育学
开放式学习
创造力
作者
Chenggang Duan,Xinmei Liu,Xiaomei Yang,Cheng Deng
出处
期刊:Journal of Knowledge Management
[Emerald (MCB UP)]
日期:2022-07-19
卷期号:27 (5): 1279-1298
被引量:4
标识
DOI:10.1108/jkm-11-2021-0858
摘要
Purpose Drawing on job demands and resources theory and the challenge-hindrance stressor framework, this study aims to investigate the effect of team knowledge complexity on team information sharing and information searching and examine whether team learning goal orientation mediates these effects. Design/methodology/approach The authors conducted two studies. Study 1 used a field survey study conducted among 374 employees positioned in 68 new product teams. Study 2 used a three-wave online survey study conducted among 208 leaders to investigate the teams they managed. Findings The findings of the two studies reveal that team knowledge complexity has a positive direct effect on team information sharing and information searching. Furthermore, team learning goal orientation mediates these two relationships. Practical implications The findings indicate that team knowledge complexity is generally beneficial for the team information process. Therefore, instead of fearing an increase in the knowledge complexity of the projects, organizations should dare to present challenge demands to team members to enhance their engagement in information processing. Organizations could also pay attention to team member selection during team composition processes. For example, selecting team members with a high level of learning goal orientation is helpful in facilitating team information processing. Originality/value Although previous studies have found that knowledge complexity is beneficial for team output, less is known about how knowledge complexity influences team processes. This study clarifies the relationships between team knowledge complexity, information sharing and information searching and examines team learning goal orientation as a vital mediator.
科研通智能强力驱动
Strongly Powered by AbleSci AI