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A Managerial Early Warning System at a Smart Factory: An Intuitive Decision-making Perspective

机译:智能工厂中的管理预警系统:直观的决策视角

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摘要

Early warning systems are becoming increasingly important in high-risk industries, because of their potential to detect all kinds of subtle threats and opportunities, that is, weak signals, in order to avoid strategic surprises. However, it is an under-researched area within the context of smart factories. For the purpose of the study, semi-structured group interviews were used to investigate how managers at a smart factory, a highly innovative global supplier in the automotive industry sense weak signals, perceive the role of intuition, smart systems and business model adjustments. The results of the study show that managers perceive early warning systems as highly important for timely response to development changes and that both smart systems and intuition play an essential role in detecting and responding to weak signals. Based on this study, we propose a managerial early warning system model with four stages, namely, identifying, screening, appraising and responding to weak signs, within the context of a smart factory. (c) 2018 John Wiley & Sons, Ltd.
机译:预警系统在高风险行业中正变得越来越重要,因为预警系统可以检测各种微妙的威胁和机会(即微弱的信号),从而避免出现战略意外。但是,在智能工厂中,这是一个研究不足的领域。出于研究目的,使用半结构化的小组访谈来调查智能工厂(汽车行业的高度创新的全球供应商)的经理如何感知弱信号,感知直觉,智能系统和业务模式调整的作用。研究结果表明,管理者认为预警系统对于及时响应发展变化非常重要,而智能系统和直觉在检测和响应微弱信号方面都起着至关重要的作用。基于这项研究,我们提出了一个智能工厂环境下的管理预警系统模型,该模型分为四个阶段,即识别,筛选,评估和响应弱信号。 (c)2018年约翰·威利父子有限公司

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