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A Study on the Establishment of Smart Factory through the Environmental Factors and Absorption Capacity of Small and Medium Businesses

중소기업의 환경요인과 흡수역량을 통한 Smart Factory 구축 연구

  • 진성옥 (대전대학교 융합컨설팅학과) ;
  • 서영욱 (대전대학교 융합컨설팅학과)
  • Received : 2019.06.25
  • Accepted : 2019.07.20
  • Published : 2019.07.29

Abstract

Many small and medium-sized enterprises are deploying Smart Factory without due consideration of the circumstances in which the entity is in or outside of the entity, such as environmental changes and the capabilities of its members. Therefore, utilization and effectiveness are also low after deployment. This study verifies 'the establishment of a Smart Factory through the environmental factors and absorption capabilities of small businesses' through empirical research. The survey was received by people working for small and medium-sized companies that have established Smart Factory. The results of the study showed that first, environmental factors within and outside the company had a positive effect on the absorption capacity within the company. Second, the absorption capacity within a company has had a positive effect on the deployment of a Smart Factory. Based on the above proof, it has been proved to be effective if the core areas of the Smart Factory are built on the basis of the company's internal and external environmental factors and absorption capabilities when constructing Smart Factory in small businesses. In the future, we will study the achievements of smart factory construction.

많은 중소기업이 Smart Factory를 구축할 때 기업 내 외부의 환경변화나 구성원들의 역량 등 기업이 처해있는 상황에 대한 충분한 고려 없이 구축하고 있다. 그래서 구축 후 활용도와 효과도 낮다. 본 연구는 '중소기업의 환경요인과 흡수역량을 통한 Smart Factory 구축'을 실증연구를 통하여 검증해 보는 것이다. 설문은 Smart Factory를 구축한 중소기업에서 관련 업무를 하는 인원에게 받았다. 연구결과는, 첫째, 기업 내 외부의 환경요인은 기업 내부의 흡수역량에 긍정적인 영향을 미쳤다. 둘째, 기업 내부의 흡수역량은 Smart Factory 구축에 긍정적인 영향을 미쳤다. 위의 입증을 통해서 중소기업에서 Smart Factory를 구축할 때 기업의 내 외부 환경요인과 흡수역량을 바탕으로 Smart Factory 핵심영역을 구축하면 효과적이라는 것이 입증되었다. 향후는 Smart Factory 구축성과의 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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