4.6 Article

Knowledge work productivity in distributed teams

期刊

JOURNAL OF KNOWLEDGE MANAGEMENT
卷 13, 期 6, 页码 533-546

出版社

EMERALD GROUP PUBLISHING LTD
DOI: 10.1108/13673270910997178

关键词

Knowledge management; Productivity rate; Team working; Remote workers

向作者/读者索取更多资源

Purpose - Knowledge work (KW) is a well-researched topic, However, KW is difficult to measure and little consensus has been reached on elements that affect knowledge work productivity on a team level. The current theories neglect teams working in distributed geographical areas. The purpose of the paper is to integrate recent literature on knowledge work productivity (KWP) in distributed teams and give an overview of the elements affecting it. Design/methodology/approach - The paper presents an overview of research performed in the field of knowledge work productivity. The authors integrate theories of different fields of management theory (knowledge management, intellectual capital and learning), and work and organizational psychology. This paper answers three questions: What is knowledge work? What is knowledge work productivity? Which elements hinder or enable knowledge work productivity in distributed teams of global technology companies? Findings - The authors define the crucial elements that either hinder or enable KWP: team tasks, team structure and processes, the physical, virtual and social workspaces as well as organizational context. The paper presents an integrative model of KWP in distributed teams of global technology companies. Practical implications - Distributed teams are common in global companies. By understanding the elements that affect KWP companies can stimulate or decrease specific elements in order to improve productivity of their distributed knowledge workers. Originality/value - This paper integrates theories from different disciplines in order to create an understanding about knowledge work and its productivity for further research.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据