반도체 기업의 스마트팩토리 기술적 요인이 운영성과에 미치는 영향에 관한 연구: CEO리더십과 IT전문인력의 매개효과 중심으로

초록

Digital transformation, hyper-connectivity, and super-intelligence led by the 4th industrial revolution have triggered changes in the manufacturing environment. In particular, the increase in product diversity, complexity and short lead times due to the increase in demand for high-quality, personalized products are leading the change from the existing mass production method to the personalized production method. In order to respond to the market requirements in this hyper-competitive era, the transition to a smart manufacturing production system is being promoted. As a key element of the 4th industry, the smart factory is an important concept of high value-added industrial innovation and is a key technology of future manufacturing competitiveness. However, few studies have been explored empirically in this perspective. Therefore, the purpose of this study is to verify the effect of technological factors(sensor network technology, platform technology, manufacturing information system, and intelligent automation) on operational performance, and the mediating effect of CEO leadership and IT expert. In order to examine the hypothesis of this study, a survey was conducted on semiconductor companies as research subjects. Using valid 115 samples, SPSS 23.0 and SmartPLS 3.0 were used as research methods for hypothesis test. The results of this study showed that sensor network technology, platform technology, manufacturing information system, and intelligent automation as technological factor all had a significant positive (+) effect on operational performance. In addition, it was confirmed that CEO leadership and IT expert had a mediating effect in the relationship between the technological factors and operational performance. The IT expert showed a partial mediating effect between sensor network technology and operational performance, and also between platform technology and operational performance. The CEO leadership showed a partial mediating effect between the platform technology and operational performance, and also manufacturing information system and operational performance. In particular, it was confirmed that CEO leadership had a full mediating effect between intelligent automation and operational performance. Since empirical studies on the success factors and operational performance of smart factory introduction are very insignificant, the significance of this study is to empirically derive the effect of smart factory establishment on operational performance for semiconductor manufacturing companies. Although many companies agree on the need of smart factory adoption, they are unable to actively adopt it due to various restrictions including excessive investment costs. However, through the results of this study, it is judged that it can be a reference for decision-making for establishment of strategic and efficient manufacturing operations for companies considering smart factory adoption.

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