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The diagnosis and measurement of team resilience in sociotechnical systems

机译:社会科技系统团队恢复力的诊断和测量

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This paper presents a novel approach to diagnosing and measuring team resilience in sociotechnical systems. This approach is based on a multi-level model developed to study team phenomena from a general systems perspective. We will describe a methodology that uses a concept similar to flow within the psychological literature to measure a team's response to instances of sub-optimal system function. Team resilience is determined by examining flow disruptions, which are instances of sub-optimal system performance that disrupt normal system flow, and compensatory strategies, which are behaviors enacted by the team in response to the disruption to re-establish overall system flow. Approaching teams embedded in organizations from this perspective allows diagnosis of the systemic influences that contribute most to the variance in performance across entities, identification of pervasive latent systemic failures, and the development of a tailored taxonomy of behavioral teamwork dimensions, which can then be translated into metrics to measure team resilience in many contexts or team configurations.
机译:本文提出了一种新的探索和衡量社会科技系统团队恢复力的新方法。这种方法是基于从一般系统角度研究团队现象的多级模型。我们将描述一种方法,该方法使用类似于心理文献内的流量的概念来衡量团队对次优系统功能的情况的响应。通过检查流动中断来确定团队恢复力,这是扰乱正常系统流动和补偿策略的子最优系统性能的实例,以及团队颁发的行为,以回应重新建立整体系统流动的中断。从这个角度展开组织中嵌入在组织中的团队允许诊断系统影响,这些影响最为贡献跨实体的性能的差异,识别普遍的潜在系统失败,以及行为团队合作维度的量身定制的分类,然后可以翻译成在许多背景或团队配置中测量团队恢复力的指标。

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