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Priority Demand Assessment for Overseas Construction Information Using Clustering Method

  • Journal of the Korean Biblia Society for Library and Information Science
  • 2018, 29(4), pp.57-68
  • DOI : 10.14699/kbiblia.2018.29.4.057
  • Publisher : Journal Of The Korean Biblia Society For Library And Information Science
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : November 10, 2018
  • Accepted : November 28, 2018

Wonyoung Choi 1 Kwak, Seung-Jin 2

1한국건설기술연구원
2충남대학교

Accredited

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.

Citation status

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