한국건설관리학회논문집 (Korean Journal of Construction Engineering and Management)

  • 제17권2호
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  • Pages.118-126
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  • 2016
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  • 2005-6095(pISSN)
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  • 2465-9703(eISSN)
한국건설관리학회 (Korea Institute of Construction Engineering and Management)
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해외건설 전문건설기업 선정모델 개선을 위한 실증 연구

A Empirical Research for Subcontractor Selection Model in the International Construction Project

  • Lee, Changjun (Department of Civil and Environmental Engineering, Yonsei University) ;
  • Seok, Hochan (Department of Civil and Environmental Engineering, Yonsei University) ;
  • Lee, Sangjun (Samsung C&T Corporation) ;
  • Jang, Woosik (Department of Civil and Environmental Engineering, Yonsei University) ;
  • Han, Seung-Heon (Department of Civil and Environmental Engineering, Yonsei University)
  • 투고 : 2015.10.06
  • 심사 : 2016.02.01
  • 발행 : 2016.03.31
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초록

해외건설 시장은 정부와 건설기업들의 적극적인 노력에 힘입어 2015년 6월 누계 7,000억 불 수주를 돌파하는 경이로운 성장을 이루었다. 이러한 양적인 성장에도 불구하고 질적인 면에서 역량 부족, 기술력 부족 등이 대두되면서 내실화 문제가 지속적으로 제기되고 있다. 이를 극복하기 위하여 해외건설 성공요인에 대한 연구가 국내외적으로 활발히 이루어지고 있으며, 전문건설기업 선정이 핵심적인 성공요인으로써 그 중요성이 강조되고 있다. 그러나 기존 전문건설기업 선정 평가체계의 기준 미비 및 신뢰성 부족으로 인해 해외건설 시장에 진출한 국내기업의 합리적인 의사결정이 어려운 실정이다. 본 논문은 상관분석 및 다중회귀분석을 통하여 기존 사전역량평가와 사후수행평가의 문제점을 도출하였고, 세부 평가지표의 조정을 통해 개선된 평가체계를 제시하고자 한다. 제시된 평가체계는 성공적인 해외사업 수행을 위한 이상적인 전문건설기업 선정에 유용한 참고 자료로 활용 될 수 있을 것이라 기대된다.

International construction market have quantitatively increased and have reached up to 700 Bil. US$ through active effort of construction firms and government. In spite of this increase, substantiality issue has been constantly disputed due to qualitative problems such as lack of capability and technical shortage. To overcome these problems, many methods in performing quantitative growth and qualitative substantiality of overseas construction are being researched which showed that selection of subcontractors in general contractor is regarded as a very important success factor. However, it is difficult to make a reasonable decision for selecting the subcontractors due to the lack of evaluation standards and reliability. This study proposes an improved evaluation system through adjustment of the evaluation indicators using correlations analysis and multiple regression analysis with pre-qualification and performance evaluation of 121 firms in 6 countries.

키워드

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