Journal of the Korean BIBLIA Society for library and Information Science (한국비블리아학회지)

Korean Biblia Society for Library and Information Science (한국비블리아학회)
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Priority Demand Assessment for Overseas Construction Information Using Clustering Method

클러스터링 기법을 활용한 해외건설 필요정보 우선순위 수요 조사 평가

  • Received : 2018.11.10
  • Accepted : 2018.11.28
  • Published : 2018.12.30
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Abstract

In a situation when domestic construction market is expected to be stagnant, Overseas Information System for Construction Engineering (OVICE) is operated to support the construction SMEs that advance to the global market. In this study, we aimed to improve the quality of information service by providing direction of information provision, by comparing expert questionnaire with information system user statistics. For statistical analysis of information systems, to improve the efficiency of statistical analysis that is difficult to prioritize, K-means clustering is used for more efficient analysis. As a result, analyzing the difference between the survey results and the information system statistics, we were able to identify improvement point of information provision in the system and important contents that were not highlighted during the survey.

국내 건설시장의 침체가 예상되는 상황에서 지속적으로 국내 중소엔지니어링 기업의 해외시장으로의 진출을 지원하기 위해 해외건설엔지니어링 정보시스템(OVICE)이 운영되고 있다. 이에 본 연구에서는 기존 연구를 통해 수행된 전문가 설문조사를 통한 필요정보 우선순위와 정보시스템 사용자 통계를 비교하여 정보시스템의 정보제공 방향성을 제시하여 정보서비스 품질을 높이고자 하였다. 정보시스템의 이용 통계 분석에 있어서, 우선순위를 매기기 힘든 통계분석의 효율성을 높이기 위해 K-means Clustering 기법을 분석에 활용하였다. 그 결과 기존 설문결과와 정보시스템 이용 통계의 차이를 분석하여 정보시스템의 정보제공에서의 보완점과 함께 설문조사 과정에서 부각되지 않았던 중요한 콘텐츠를 찾아낼 수 있었다.

Keywords

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<그림 1> 각 군집별 실루엣 계수

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<그림 2> 다운로드/페이지뷰 분포에 따른 군집분류 결과(k=5)

<표 1> 연도별 국내건설시장 총 수주액(조원)

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<표 2> 연도별 해외건설시장 추이 및 국내 수주액(억$)

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<표 3> 해외건설정보 분류체계

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<표 4> 해외건설엔지니어링 정보시스템 해외진출 거점국가

BBROBV_2018_v29n4_57_t0004.png 이미지

<표 5> 국가별 다운로드/페이지뷰 및 평균 업로드 기간

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<표 6> 정보서비스 분류별 우선순위 설문결과

BBROBV_2018_v29n4_57_t0006.png 이미지

<표 7> 군집개수별 평균 실루엣 계수

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<표 8> Group #3-5에 해당하는 분류항목

BBROBV_2018_v29n4_57_t0008.png 이미지

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