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Cloud-based Building Information Modelling (CBIM): Software Engineers' Insights into Improving Asset Information Quality

Lookup NU author(s): Dr Xiang XieORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

Purpose: This research investigates the capabilities of CBIM in managing quality asset information, drawing upon software engineers’ perspectives. Compelling statistics highlight the relationship between building information and environmental sustainability. However, despite the growing utilisation of CBIM in the Architecture, Engineering and Construction (AEC) industry, a significant knowledge gap remains concerning its effectiveness in maintaining quality asset information. Design/methodology/approach: This study employed an exploratory qualitative approach, utilising semi-structured interviews with thirteen software engineers actively developing technological solutions for the AEC industry. Following thematic analysis, the findings are categorised into four dimensions: strengths, weaknesses, opportunities, and technological limitations. Subsequently, these findings are analysed in relation to previously identified information quality problems. Findings: This research reveals that while CBIM improves project coordination and information accessibility, its effectiveness is challenged by the need for manual updates, vulnerability to human errors, and dependency on network services. Technological limitations, notably the absence of automated updates for as-built drawings and the risk of data loss during file conversions in the design phase, coupled with its reduced capability to validate context-specific information from the user’s viewpoint, emphasise the urgent need for managerial strategies to maximise CBIM’s capabilities in addressing information quality problems. Originality/value: This study augments the understanding of CBIM, highlighting the managerial implications of a robust information management process to safeguard information integrity. This approach fosters sustainable practices anchored in reliable information essential for achieving desired outcomes. The findings also have broader managerial implications, especially for sectors that employ CBIM as an instrumental tool.


Publication metadata

Author(s): Chang J, Xie X, Parlikad A

Publication type: Article

Publication status: Published

Journal: Built Environment Project and Asset Management

Year: 2024

Pages: ePub ahead of print

Online publication date: 30/08/2024

Acceptance date: 03/08/2024

Date deposited: 15/08/2024

ISSN (print): 2044-124X

ISSN (electronic): 2044-1258

Publisher: Emerald Publishing Limited

URL: https://doi.org/10.1108/BEPAM-12-2023-0247

DOI: 10.1108/BEPAM-12-2023-0247

ePrints DOI: 10.57711/fzqj-d297


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