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The effect of governance on global software development: An empirical research in transactive memory systems

机译:治理对全球软件开发的影响:交互式内存系统的实证研究

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Context: The way global software development (CSD) activities are managed impacts knowledge transactions between team members. The first is captured in governance decisions, and the latter in a transactive memory system (TMS), a shared cognitive system for encoding, storing and retrieving knowledge between members of a group. Objective: We seek to identify how different governance decisions (such as business strategy, team configuration, task allocation) affect the structure of transactive memory systems as well as the processes developed within those systems. Method: We use both a quantitative and a qualitative approach. We collect quantitative data through an online survey to identify transactive memory systems. We analyze transactive memory structures using social network analysis techniques and we build a latent variable model to measure transactive memory processes. We further support and triangulate our results by means of interviews, which also help us examine the GSD governance modes of the participating projects. We analyze governance modes, as set of decisions based on three aspects; business strategy, team structure and composition, and task allocation. Results: Our results suggest that different governance decisions have a different impact on transactive memory systems. Offshore insourcing as a business strategy, for instance, creates tightly-connected clusters, which in turn leads to better developed transactive memory processes. We also find that within the composition and structure of GSD teams, there are boundary spanners (formal or informal) who have a better overview of the network's activities and become central members within their network. An interesting mapping between task allocation and the composition of the network core suggests that the way tasks are allocated among distributed teams is an indicator of where expertise resides. Conclusion: We present an analytical method to examine GSD governance decisions and their effect on transactive memory systems. Our method can be used from both practitioners and researchers as a "cause and effect" tool for improving collaboration of global software teams.
机译:上下文:管理全球软件开发(CSD)活动的方式会影响团队成员之间的知识交易。前者捕获于治理决策中,后者捕获于事务存储系统(TMS)中,后者是用于在组成员之间编码,存储和检索知识的共享认知系统。目标:我们寻求确定不同的管理决策(例如业务策略,团队配置,任务分配)如何影响事务存储系统的结构以及这些系统内开发的流程。方法:我们同时使用定量和定性方法。我们通过在线调查收集定量数据,以识别事务存储系统。我们使用社交网络分析技术分析交易记忆结构,并建立潜在变量模型来测量交易记忆过程。我们通过访谈的方式进一步支持和划分结果,这也有助于我们检查参与项目的GSD治理模式。我们根据三个方面的决策集分析治理模式;业务策略,团队结构和组成以及任务分配。结果:我们的结果表明,不同的管理决策对事务性存储系统具有不同的影响。例如,离岸外包作为一种商业策略,可以创建紧密连接的集群,从而导致更好地开发事务存储过程。我们还发现,在GSD团队的组成和结构中,有一些边界扳手(正式或非正式)对网络的活动有更好的了解,并成为其网络中的核心成员。任务分配与网络核心组成之间的有趣映射表明,在分布式团队之间分配任务的方式可以指示专业技能所在的位置。结论:我们提出了一种分析方法来检查GSD治理决策及其对事务存储系统的影响。从业人员和研究人员均可将我们的方法用作改善全球软件团队协作的“因果关系”工具。

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