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A Study on the Influence of Smart Factory Key Factors on Management Performance through Internal Environmental Factors in Small and Medium Businesses

중소기업에서 내부 환경요인을 통한 Smart Factory 핵심요인이 경영성과에 미치는 영향 연구

  • 진성옥 (대전대학교 융합컨설팅학과) ;
  • 서영욱 (대전대학교 융합컨설팅학과)
  • Received : 2019.05.30
  • Accepted : 2019.07.20
  • Published : 2019.07.28

Abstract

This study is an empirical study of 'the effect of the key factors of Smart Factory on management performance through internal environmental factors in small and medium enterprises'. The purpose of the research is to verify that the implementation of a Smart Factory affects the performance of management and contribute to the continued development of the company, and to suggest the national policy of expanding the deployment of a Smart Factory. The procedures were surveyed by working-level officials of small and medium-sized manufacturing companies with a Smart Factory and statistically analyzed with the SPSS and SMART PLS. The results of the study showed that first, the environmental factors within the company had a positive effect on the key components of the Smart Factory. Second, the key factor in Smart Factory has had a positive impact on management performance. The above evidence shows that the key factors in smart factory considering the environmental factors of an enterprise affect its management performance, thus laying the theoretical foundation for the performance of smart factory construction. In the future, we will study how to build a Smart Factory.

본 연구는 '중소기업에서 내부 환경요인을 통한 Smart Factory의 핵심요인이 경영성과에 미치는 영향'에 대한 실증연구이다. 연구 목적은 Smart Factory 구축이 경영성과에 영향을 미쳐서 회사가 지속 발전하는데 기여하는지 검증하고, 국가적으로 추진하고 있는 Smart Factory 구축 확대 정책에 대해 제언하고자 한다. 절차는 Smart Factory를 구축한 중소제조기업의 실무자를 중심으로 설문을 받아 SPSS와 SMART PLS로 통계 분석하였다. 연구결과는 첫째, 기업 내부의 환경요인은 Smart Factory 핵심요인에 긍정적인 영향을 미쳤다. 둘째, Smart Factory 핵심요인은 경영성과에 긍정적인 영향을 미쳤다. 위의 입증을 통해서 기업의 환경요인을 고려한 Smart Factory의 핵심요인은 경영성과에 영향을 주는 것으로 나타나, Smart Factory 구축 성과의 이론적인 토대를 마련했다고 할 수 있다. 향후는 Smart Factory 구축방법 연구를 하고자 한다.

Keywords

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Fig. 1. Research model

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Fig. 2. Verification of the research model

Table 1. Operational Definition of Variables

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Table 2. Factor Analysis and Reliability Analysis

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Table 3. Discriminant Validity Analysis

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Table 4. Hypothesis Verification Results

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