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首页> 外文期刊>Engineering Management Journal. >Building High-Performing Autonomous Teams in Complex Manufacturing Settings: A Naturalistic Research Approach
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Building High-Performing Autonomous Teams in Complex Manufacturing Settings: A Naturalistic Research Approach

机译：在复杂的制造环境中建立高性能的自治团队：自然研究方法

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摘要

This study contributes to the engineering management body of knowledge by providing a unique and rich view into the development of self-managed teams in manufacturing settings using a naturalistic research approach. We uncover the complexity of multi-level factors at the individual, team, and organizational level that influence the successful development of high-performing self-managed teams. This research identifies and describes the major drivers of effective autonomous teamwork in low volume, high complexity (LVHC) manufacturing settings. A key theoretical contribution of this study is a depiction of production work teams that describes the dynamic process of generating and further advancing autonomous behaviors in LVHC manufacturing settings. Engineering managers can use the findings from this article to help them understand the precursors and conditions for building effective self-managed teams in LVHC manufacturing settings. The results can also contribute to the design of training programs aimed at building highly effective, self-managed work teams.
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