From IT-based knowledge management to BIM-supported knowledge management: a review

    Research output: Contribution to journalArticle

    Published

    View graph of relations

    Construction is a knowledge-intensive industry, in which organizations are known for the delivery of products and services, relying on different types of knowledge. To manage knowledge effectively, various information technology (IT) models and systems have been developed for knowledge management (KM) in the construction industry over the years. As the next generation of IT application in construction, building information modeling (BIM) is increasingly used today to aid KM. Compared to generic IT tools, BIM has some distinctive features, such as parametric modeling, virtual visualization and centralized platform. However, how to apply these features of BIM to better serve KM has not yet been well summarized and analyzed. In this research, 115 papers on IT-based KM and 73 papers on BIM-supported KM are reviewed, based on which an integrated framework is developed to describe the current status and future directions for KM in IT-generic and BIM-specific contexts. It is followed by a conceptual model of BIM-supported KM which shows the possible KM factors and their relationships in the BIM environment. This research highlights the transformation from IT-based KM into BIM-supported KM. It contributes to the identification of remaining challenges to BIM-supported KM and the elaboration of BIM-supported KM in construction research and practice.

    Documents

    • Transformation from IT-based knowledge management into BIM-supported knowledge management: a literature review

      Rights statement: © 2018 Elsevier Ltd. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/,which permits distribution and reproduction for noncommercial purposes, provided the author and source are cited

      Accepted author manuscript, 7 MB, PDF-document

      Embargo ends: 10/12/2019

    DOI

    Original languageEnglish
    Number of pages18
    Pages (from-to)170-187
    JournalExpert Systems with Applications
    Journal publication date01 May 2019
    Volume121
    Early online date10 Dec 2018
    DOIs
    Publication statusPublished - 01 May 2019

      Research areas

    • Construction industry, Building information modeling, Knowledge management

    ID: 162208197