熟悉度、复杂性与地理分布式软件开发中的团队绩效

Familiarity, Complexity, and Team Performance in Geographically Distributed Software Development

ORGANIZATION SCIENCE · 2007
被引 429
人大 AFT50UTD24ABS 4*

中文导读

研究了任务熟悉度和团队熟悉度在不同任务与协调复杂性下对地理分布式软件团队绩效的影响,发现任务熟悉度在结构复杂任务中效果减弱,而团队熟悉度在大规模或分散团队中更有益,且两者呈替代关系。

Abstract

While prior research has found that familiarity is beneficial to team performance, it is not clear whether different kinds of familiarity are more or less beneficial when the work has different types of complexity. In this paper, we theorize how task and team familiarity interact with task and team coordination complexity to influence team performance. We posit that task familiarity is more beneficial with more complex tasks (i.e., tasks that are larger or with more complex structures) and that team familiarity is more beneficial when team coordination is more difficult (i.e., for larger or geographically dispersed teams). Finally, we propose that the effects of task familiarity and team familiarity on team performance are complementary. Based on a field study of geographically distributed software teams, two of our hypotheses are disconfirmed: Our results show that the beneficial effects of task familiarity decline when tasks are more structurally complex and are independent of task size. Conversely, the hypotheses for team familiarity are confirmed as the benefit of team familiarity for team performance is enhanced when team coordination is more challenging—i.e., when teams are larger or geographically dispersed. Finally, surprisingly, we find that task and team familiarity are more substitutive than complementary in their joint effects on team performance: Task familiarity improves team performance more strongly when team familiarity is weak and vice versa. Our study contributes by revealing how different types of familiarity can enhance team performance in a real-world setting where the task and its coordination can be highly complex.

团队绩效软件开发知识管理团队协作