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스마트팩토리 도입 영향요인에 관한 실증연구: 우리나라 중소제조기업을 중심으로

The Implementation of Smart Factories: Empirical Evidence from Korean Small and Medium-Sized Enterprises

정지윤
경영경제연구소 (management & economic research institute)|2022.06|아태비즈니스연구 ((APJB) Asia Pacific Journal of Business)|제13권 제2호|pp. 79-94|DOI https://doi.org/10.32599/apjb.13.2.202206.79

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키워드

SMEsSmart FactoriesOrganizational InnovationIndustrie 4.0

초록

Purpose - The purpose of this study is to examine firm-level attributes related to Korean manufacturing small and medium-sized enterprises’ (SMEs’) decisions to implement smart factories. Design/methodology/approach - This study uses the <Survey on Actual State of SMEs> provided by the Ministry of SMEs and Startups of Korea and the Korea Federation of SMEs. Manufacturing SMEs’ decisions to implement smart factories in 2018-2019 were analyzed using multinomial logit and ordered logit models. Findings - The findings of this study suggest that firms’ decisions to implement smart factories were positively related to firm size, R&D intensity, international market scope, and transactional relationships with customers. However, smart factory implementation decisions were not related to firm age and CEO gender. Research implications or Originality - This study illuminates firm-level attributes that may drive organizational innovation in the era of Industry 4.0 and thus contributes to the innovation adoption literature. This study also contributes to growing research on smart factories by analyzing the actual, progressive decisions to implement smart factories, as opposed to perceived intentions to implement them.

Abstract

Purpose - The purpose of this study is to examine firm-level attributes related to Korean manufacturing small and medium-sized enterprises’ (SMEs’) decisions to implement smart factories. Design/methodology/approach - This study uses the <Survey on Actual State of SMEs> provided by the Ministry of SMEs and Startups of Korea and the Korea Federation of SMEs. Manufacturing SMEs’ decisions to implement smart factories in 2018-2019 were analyzed using multinomial logit and ordered logit models. Findings - The findings of this study suggest that firms’ decisions to implement smart factories were positively related to firm size, R&D intensity, international market scope, and transactional relationships with customers. However, smart factory implementation decisions were not related to firm age and CEO gender. Research implications or Originality - This study illuminates firm-level attributes that may drive organizational innovation in the era of Industry 4.0 and thus contributes to the innovation adoption literature. This study also contributes to growing research on smart factories by analyzing the actual, progressive decisions to implement smart factories, as opposed to perceived intentions to implement them.

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