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산업기술의 내부 유출방지 성과에 영향을 미치는 요인에 관한 연구

A Study on the Affecting Factors in Performance of Internal Leakage Prevention on Industrial Technology

  • 고기철 (숭실대학교 IT정책경영학과) ;
  • 정진섭 (숭실대학교 IT정책경영학과) ;
  • 최성규 (숭실대학교 IT정책경영학과) ;
  • 한경석 (숭실대학교 경영학부)
  • Ko, Gi-Choel (Dept. of IT Policy Management, Graduate School, Soongsil University) ;
  • Jung, Jin-Sup (Dept. of IT Policy Management, Graduate School, Soongsil University) ;
  • Choi, Sung-Kyu (Dept. of IT Policy Management, Graduate School, Soongsil University) ;
  • Han, Kyeong-Seok (Dept. of Business Administration, Soongsil University)
  • 투고 : 2017.05.23
  • 심사 : 2017.07.20
  • 발행 : 2017.07.28

초록

지난 5년간 국가기술의 약 200여건이 해외로 유출되었으며, 그 중의 70% 이상이 중소기업이며, 내부유출은 80%에 이르는 것으로 통계자료(국가정보원 산업기밀보호센터)를 통해 확인 할 수 있다. 이는 중소기업내의 내부유출 방지에 대한 정부의 산업기술 유출방지를 위한 정책이 중소기업에 집중되어야 한다는 것이다. 특히 기술유출 피해경험이 기업규모에 따라 유출방지 성과에 미치는 영향에 대해 분석한 연구는 전무하며 산업기술 유출에 대한 요인을 조사한 연구 또한 미약한 실정이다. 본 연구는 기존의 선행되어진 국, 내외의 연구들을 분석하여 산업기술 유출방지 성과에 미치는 요인을 바탕으로 각각의 특성들을 성질화 하여 변인들을 각각 TOE 프레임워크와 TAM모델을 적용하여 성과와의 영향관계를 실증 분석하였다. 산업기술 내부 유출을 보호하기 위하여 정부정책, 회사의 방향성 등이 어떤 영향을 미치는지 분석하여 방향성을 제시하는 것이 산업기술의 내외적인 유출보호에 대하여 기업과 조직에게 시스템 구축과 인력관리에 대한 실무적 시사점을 제공해줌으로써 정책과 제도를 수립하는데 방향성을 제시하고자 연구를 진행하였으며, 이에 따른 보다 올바른 방향성 제고에 그 의미를 두고 있다.

According to the statistics of the National Industrial Security Center under the National Intelligence Service, 209 national technologies have been leaked abroad in the past 5 years. Small and medium-sized enterprises and leakage by insiders accounted for 73% and 80% of them, respectively. This suggests that all the capabilities for preventing leakage of industrial technology should be focused on small and medium-sized enterprises and leakage by insiders. Related studies have been actively conducted on legal consideration of industrial technology leakage crimes, improvement of industrial security policies, and industrial security measures for preventing leakage of industrial technology, but adequate empirical studies have not been carried out on factors of leakage of industrial technology. In particular, there have been few studies on the effect of the experience of industrial technology leakage and enterprise scale(large enterprise, small and medium-sized enterprise) on achieving results in leakage prevention. Therefore, this study extracted factors affecting performance to prevent industrial technology leakage by analyzing previous related papers and to empirically analyze relationships with performance by applying the TAM model after classifying variables into the TOE framework by characterizing these properties.

키워드

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