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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://doab-dev.siscern.org/handle/20.500.12854/188171
            Keywords
            Knowledge Management; Organizational Memory; Construction Firms; Software Tools; thema EDItEUR::U Computing and Information Technology
            DOI
            10.36253/979-12-215-0289-3.48
            ISBN
            9791221502893
            Publisher
            Firenze University Press
            Publisher website
            www.fupress.com/
            Publication date and place
            Florence, 2023
            Series
            Proceedings e report,
            Pages
            9
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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