Priority Demand Assessment for Overseas Construction Information Using Clustering Method

Choi,, W. , & Kwak,, S. (2018). Priority Demand Assessment for Overseas Construction Information Using Clustering Method. 한국비블리아학회지, 29(4), 57-68, https://doi.org/10.14699/kbiblia.2018.29.4.057

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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.

keywords: 해외건설엔지니어링 정보시스템, 해외건설정보 분류체계, K-평균 군집화, 실루엣 기법, 정보수요조사

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Article Contents

Vol.29 No.4

Priority Demand Assessment for Overseas Construction Information Using Clustering Method

Abstract

한국비블리아학회지