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Effects of geographic and demographic dispersion on the performance of systems engineering teams

机译:地理和人口分布对系统工程团队绩效的影响

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摘要

Globalization and the increasing complexity of systems require collaboration across multidisciplinary teams. Systems Engineering (SE) teams are often geographically and demographically dispersed; such dispersion might affect the ability of the teams to produce their desired outcomes. The main objective of this research study was to determine how geographic and demographic dispersion affect the performance of a SE team, and which phases of the SE life cycle are more susceptible to positive or negative effects caused by team dispersion. This research study started with an exhaustive review of the literature related to team dispersion and team performance. The next step was building a conceptual model grounded in theory, which allowed the measurement of geographic and demographic dispersion through the use of well-established indices recognized by the scientific community. The data collection process successfully gathered information about projects geographically distributed throughout 57 cities in 38 countries. Finally, multiple linear regression (MLR) and structural equation modeling (SEM) were selected as data analysis techniques for this study. The results of MLR show that geographic and demographic dispersion factors (independent variables) statistically significantly predicted team performance along each phase (dependent variables) of the SE life cycle. The results of SEM show a moderate positive relationship between dispersion and team performance. It was also found that the SE life cycle phases of Development and Production are the higher predictors of team performance.
机译:全球化和日益复杂的系统要求跨多学科团队的协作。系统工程(SE)团队通常在地理位置和人口分布上分散;这种分散可能会影响团队产生期望结果的能力。这项研究的主要目的是确定地理和人口分散如何影响SE团队的绩效,以及SE生命周期的哪个阶段更容易受到团队分散所带来的正面或负面影响。这项研究首先详尽地回顾了有关团队分散和团队绩效的文献。下一步是建立一个以理论为基础的概念模型,该模型允许通过使用科学界公认的成熟指标来测量地理和人口分布。数据收集过程成功收集了有关在38个国家的57个城市中地理分布的项目的信息。最后,选择多元线性回归(MLR)和结构方程模型(SEM)作为本研究的数据分析技术。 MLR的结果表明,地理和人口分散因素(独立变量)在统计上显着预测了SE生命周期各个阶段(独立变量)的团队绩效。扫描电镜的结果表明,分散度和团队绩效之间存在中等正相关关系。还发现,开发和生产的SE生命周期阶段是团队绩效的较高预测指标。

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