Abstract

In recent years, in the manufacturing sector, smart factories have emerged as an indispensable phenomenon worldwide. Globally, the industrial structure is shifting from the manufacturing industry to the service industry due to the global long-term economic downturn, labor costs, rising raw materials, and the avoidance of the manufacturing industry. Meanwhile, with the introduction of smart factories through information and communication technology (ICT) convergence, the manufacturing industry is changing into a different paradigm from the past. Above all, the development of various technologies such as Big Data, Artificial Intelligence (AI), Internet of Things (IoT), and 5G is changing all management paradigms. It has been argued that this will become a very important factor in determining the competitiveness of a company in the future. Therefore, this study aims to empirically verify the effect of smart factory quality factors on acceptance intention and intelligence promotion intention for small and medium-sized manufacturing enterprises that are currently using smart factories.BR This study, in particular, was analyzed to be affected by the perceived usefulness of the system of field workers through the use of smart factories in the manufacturing field in this study. It was confirmed that there is a close correlation between education and field-specific customization. In addition, it was confirmed that if field workers

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