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    Chapter A Preliminary Investigation of Knowledge Management Tools for the Construction Sector

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    Author(s)
    Kologlu, Bartu
    Artan, Deniz
    Language
    English
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    Abstract
    Knowledge management (KM) is used by construction firms to establish organizational memory (OM) and consequently improve their performance by learning from past mistakes and best practices. Knowledge is the input to innovation; thus, the industry must adopt better ways of managing knowledge for advancement in the construction processes. Knowledge management consists of locating, modifying, and sharing knowledge to meet the needs of the current fast-paced sector. Various tools have been developed to support KM and OM in construction companies, however, it is very important to adequately address the needs of the sector for successful implementations. The aim of this study is to analyze the existing KM tools and evaluate their compatibility with the necessities of today’s sector. First, knowledge types in the construction industry were outlined, and existing KM tools were evaluated. Then, expert interviews were performed with two representatives from a prominent construction and a prominent consulting firm to delineate the contemporaneous KM practices as well as the KM needs in the construction industry. Finally, current practice in KM in the construction sector is evaluated, and a vision is developed for a more effective KM approach that could support OM in construction firms
    URI
    https://library.oapen.org/handle/20.500.12657/89084
    Keywords
    Knowledge Management; Organizational Memory; Construction Firms; Software Tools
    DOI
    10.36253/979-12-215-0289-3.48
    ISBN
    9791221502893, 9791221502893
    Publisher
    Firenze University Press
    Publisher website
    https://www.fupress.com/
    Publication date and place
    Florence, 2023
    Series
    Proceedings e report, 137
    Classification
    Computing and Information Technology
    Pages
    9
    Rights
    https://creativecommons.org/licenses/by-nc/4.0/legalcode
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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