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Impact of robotics on manufacturing: A longitudinal machine learning perspective

机译：机器人对制造业的影响：纵向机器学习视角

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摘要

The evaluation of the impact of the adoption of industrial robotics on business is increasingly relevant in the current context of digital transformation. Although many companies are eager to adopt these technologies as a means to increase productivity, some concerns have been raised about the cost impact of the transformation, and its effect on the workforce.A growing body of literature is studying these phenomena but according to our review of it, there is no longitudinal perspective over 25 years illustrating the relationship between the attitude of companies to robotics and principal business indicators.This investigation uses an innovative machine learning model comprising an automated nested longitudinal clustering performed in two stages, and it is applied over a large sample of 4,578 companies from the Business Strategy Survey conducted by the Spanish Ministry of Finance and Public Administration.The findings of this research are novel in this field not only because of the longitudinal modelling applied in two stages but also because of the understanding of how companies' characteristics and performance evolve over time depending on their degree of adoption of robotics. This knowledge is relevant for companies to understand the impact of their transformation to robotics. It also allows for the development of strategies that boost the efficiency of the companies, provides them with tools to protect them from negative financial events, and leads to an optimal sizing of their workforce.
机译：对工业机器人采用对业务的影响的评价在当前的数字转型背景下越来越重要。虽然许多公司渴望采用这些技术作为提高生产力的手段，但有些担忧已经提出了转型的成本影响，以及其对劳动力的影响。生长的文学体系正在研究这些现象，但根据我们的评论其中没有超过25年的纵向视角，说明了公司对机器人和主要业务指标的态度之间的关系。这项调查采用了一种创新的机器学习模型，包括在两个阶段进行自动嵌套的纵向聚类，并施加来自西班牙财政部和公共行政部门进行的企业战略调查的大型样本。本研究的调查结果在这一领域是新颖的，不仅是因为纵向建模在两个阶段应用，而且因为对公司的特点和性能如何随着时间的推移而发展论自己机器人的采用程度。这些知识与公司了解其转型对机器人的影响。它还允许开发推动公司效率的策略，为他们提供保护他们免受否定金融活动的工具，并导致其劳动力的最佳规模。

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