交互记忆系统、学习与创造力的关系
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摘要
在日趋激烈的市场竞争中,团队逐渐成为组织的基本单元。如何最大限度地协调和应用团队成员的知识是团队管理面临的重大挑战。近年来,交互记忆系统作为团队知识处理的重要机制引起了学者们的广泛关注。所谓交互记忆系统,是团队成员之间形成的一种彼此依赖的,用以编码、储存和提取不同领域知识的合作性分工系统。它不仅强化了团队的知识获取能力,而且提高了团队的知识处理效率,进而有助于创造力的提升。为了深入理解交互记忆系统的作用机理,本文从学习的视角,构建跨层次的研究模型,探讨交互记忆系统、学习行为与创造力的关系。
     本文采用了学生团队和企业研发团队、知识型员工团队三个样本,考察交互记忆系统对个体创造力和团队创造力的作用机理。其中,对于中介机理的研究包括如下四个不断深化的子研究:(1)考察团队学习对交互记忆系统与个体创造力、团队创造力关系的中介作用;(2)将团队学习分为团队内部学习和外部学习两部分,考察其对交互记忆系统与个体创造力、团队创造力关系的中介作用;(3)进一步将团队内部学习细化为团队成员的不同学习类型,探讨团队成员的利用性学习、开发性学习对交互记忆系统与个体创造力关系的作用;(4)将团队成员的利用性学习、开发性学习聚合到团队层次上,探讨利用性学习、开发性学习对交互记忆系统与团队创造力关系的不同作用。
     此外,对于调节机制的考察主要包括对团队社会资本、团队知识多样化在交互记忆系统与团队创造力间的调节作用;领导的创新支持在个体层次和团队层次利用性学习、开发性学习与创造力关系间的调节作用。
     最后,本文采用多重案例研究的方法,考察交互记忆系统与团队成员学习的演进机理。通过对多家高技术企业中研发团队的分析,阐释了交互记忆系统与团队成员学习类型之间的互动演进过程。
     本文主要有如下贡献:
     (1)本文从团队学习的中介作用入手,将团队学习细化为团队内部学习和,团队外部学习,然后又进一步将起中介作用的团队内部学习细化为团队成员的利用性学习和开发性学习,试图探讨不同层次的利用性学习和开发性学习在交互记忆系统与创造力间的作用。本文运用学习理论,通过对过程模型的递进性剖析,充分阐释了交互记忆系统对创造力的作用机理。
     (2)本文运用跨层次研究的方法对学习行为及创造力之间的关系进行系统考察,弥补了过去只从单一层次进行研究的局限。本文提出,个体层次的利用性学习和开发性学习对个体创造力具有积极影响;但当团队中的所有成员都参与到利用性学习和开发性学习中时,团队层次的利用性学习对团队创造力仍具有积极影响,但开发性学习则对团队创造力产生了消极影响。这一研究深化了我们对不同层次学习类型之作用方向的认识。
     (3)本文通过访谈、开放式问卷调查和大样本调查的方法对个体的利用性学习和开发性学习进行量表开发,通过运用两个不同的样本(研发团队样本和知识型员工样本)数据验证了量表的有效性和可信性,深化了对个体利用性学习和开发性学习概念构思的理解,对于以后的相关研究具有一定的推动作用。
     (4)本文探讨了在交互记忆系统对个体层次和团队层次产出的作用过程中,团队社会资本、团队知识多样化和领导的创新支持所起的调节作用,通过对团队社会资本、团队构成和领导作用的考察,拓展了对交互记忆系统作用机制的研究。
     (5)本文对交互记忆系统作用机制的考察采用调查问卷的方法,弥补了以往现场研究的不足。本文所选择的学生样本是典型的临时性团队;而企业样本是创新需求较高的长期性团队——两者的互动方式、学习氛围等都有所不同,这为我们深入理解交互记忆系统的作用机制提供了更充分的实证证据。
     (6)本文运用案例研究方法,从团队成员学习的视角构建交互记忆的演进机理,突破了以往视交互记忆系统为团队层面作用机制的局限,本文关注团队成员的利用性学习、开发性学习与交互记忆系统的互动发展过程,为从纵向机制上理解交互记忆系统与学习行为的关系开拓了新的思路。
With the increasing visibility of teams in organizations, there is a great challenge for the teams to coordinate and utilize their members'knowledge. A central concern of team's knowledge coordination has to do with transactive memory system (TMS), which is defined as the shared division of cognitive labor regarding group members' encoding, storage, retrieval, and communication of information from different knowledge domains. Prior research in project laboratory and ad hoc groups has highlighted the roles of TMS not only in improving team knowledge acquisition, but also in enhancing team knowledge process which foster creativity, but field research has lagged because the mechanism surrounding the TMS-creativity link is not well understood, which makes exploring the black box of their relationship crucial.
     Drawing on the data from operational teams held in a comprehensive university and enterprises in China, this study presents a multilevel framework for understanding TMS as a learning system that affects individual and team creativity.
     This study examines the mechanism of TMS influencing individual and team creativity. It unfolds as follows:first, it examines the mediating role of team learning in the relationship of TMS, individual creativity and team creativity. Second, it validates the mediating roles of two dimensions of team learning involving local learning and distal learning between TMS and creativity. Third, it specifies the team local learning into individual level involving exploitative learning and explorative learning for testing their different effects on the relationship between TMS and individual creativity. Finally, it aggregates the individual exploitative learning and explorative learning to team level to examine their distinguished roles in the relationship between TMS and team creativity.
     What's more, this study tests the moderators, for example the moderating roles of team social capital and team knowledge diversity between TMS and team creativity, and the moderating effect of leader's innovation support on the relationship between exploitative learning, explorative learning and creativity. In considering the role of moderators, this study adds to a growing body of literature focusing on how the effects of TMS are context-dependent, and adds more generally to the emerging interest in multilevel influences in team outcome providing further evidence for the promise of this approach.
     This study also explores the interactive relationship between TMS and learning behaviors by case study. With the sample of R & D teams in high-tech enterprises, it examines their interaction in different phrases of TMS.
     This study thus makes a number of contributions to the TMS literature and also provides an important caveat regarding the benefits of learning. It is an attempt to advance knowledge in following areas.
     First, it explores the mediating role of learning behaviors between TMS and creativity step by step. It starts with team learning, then specifies it into local and distal learning and finally explores exploitative learning and explorative learning which are two different learning behaviors of local learning by multilevel analysis. The results show the mediating effect of exploitative learning but there is no mediating effect of explorative learning. This study broadens our understanding of the effect of TMS from a team learning perspective.
     Second, using hierarchical linear modeling, it examines multilevel relationship of TMS, learning behaviors and creativity. Previous work on TMS has focused on either individual or group level analysis. This study proposes learning behaviors in both levels are influened by TMS, furthermore, they have different effects on creativity in different levels. That is, when aggregated to the group level, exploitative learning and explorative learning could explain team creativity in different ways. By developing a multilevel framework and providing a more comprehensive picture of what kind of learning behaviors engaging in the relationship between TMS and creativity, this study not only contributes to the understanding of the mechanism of TMS, but also broadens our understanding of different effects of multilevel learning behaviors.
     Third, it constructs and validates the two dimensions of individual learning behaviors involving exploitative learning and explorative learning with discussion and data collection, which contributes to the understanding of the individual exploitative learning and explorative learning.
     Forth, it contributes to a growingbody of work exploring the context of TMS on creativity, which enriches our knowledge about the mechanism of TMS. The moderating factors include team social capital, team knowledge diversity and leader's innovation support.
     Fifth, while most of TMS studies have been conducted in laboratory settings or have relied on either student samples or teams in a single organization, this study has used several samples in China to fill this gap. The samples of the study are representative because one of these is ad hoc group, while others are long-term team samples with different interactive ways and learning atmosphere. It provides more evidence for this study.
     Finally, it explores the interactive relationship between TMS and learning behaviors by case study. Prior research tends to treat TMS as evolving linearly, using static measures rather than assessing development over time. In response, this study offers a model emphasizing cyclical aspects of TMS development and it proposes the relationship between TMS and learning behaviors during the development of TMS.
引文
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