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• Main Authors: Zong-Si Wu, 吳宗熹
• Other Authors: Gee San
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/885485

碩士 === 國立中央大學 === 產業經濟研究所 === 107 === 　　In recent years, the various types of emerging technologies develop more rapid and mature. And the impact for the industry is huge. Among them, the impact of automation on labor should be the most intense. The doubts about "robots replacing people" are increasing with the rapid advancement of emerging technologies. Therefore, how to respond and prepare for government, industry, and research units must be carefully evaluated trends and risks when thinking about national development, industrial transformation and education policy. 　　This study uses the Ministry of Labor’s” Survey on the Living and Employment Situation of Labor”. This Research wants to discuss three issues: First, in the face of future automation risks, will Taiwanese workers actively participate in various education training to cultivate the ability for automation risks? Second, If the current Taiwanese workers participate in these education training, can they really reduce the risks that automation can cause? Third, In Taiwan, are high-paying workers in specific industries aware of the risks of automation and are more actively involved in relevant education training? 　　The empirical results show that, Taiwanese workers currently in high- risk industries have not actively participated in the various education training programs set by this research. In addition, Taiwanese workers are involved in the education of "digital capabilities" and "social knowledge". It helps to reduce the risk of automation, but the impact of participating in the "creative thinking" related training is not significant. In addition, the higher the education level, the more the automation risk can be avoided, but the higher the salary in Taiwan is not to reduce the automation risk. significantly. In which a particular industry worker will only be actively involved in the training for a specific project. Keywords: automation risk, education training, emerging technology