Challenges in implementing building information modelling for facility management in government buildings in Thailand
Journal article
Authors/Editors
Strategic Research Themes
Publication Details
Author list: Boontae, Nahathai; Ussavadilokrit, Mongkol
Publisher: Emerald
Publication year: 2024
Journal acronym: PM
Volume number: 42
Issue number: 3
Start page: 431
End page: 453
Number of pages: 23
ISSN: 0263-7472
Languages: English-Great Britain (EN-GB)
Abstract
Purpose: Effective facility management (FM) can reduce environmental effects on buildings throughout their life cycle. This study aims to investigate the challenges in implementing building information modelling (BIM) for FM in government buildings in Thailand. Design/methodology/approach: Eight government-building facility experts were interviewed using an in-depth interview method to identify FM challenges. The collected qualitative data were analysed via thematic analysis to ensure data saturation. The final questionnaire was designed with 45 FM problems, classified into management, technical and human resource problems, to collect quantitative data from 54 government FM officers. The data were used to prioritise the severity and frequency of the FM problems using the severity index (SI) and relative importance index (RII). Findings: Management problems have the highest impact, with an average SI of 0.285, followed by human resource (average SI = 0.266) and technical (average SI = 0.264) problems. Originality/value: This study identifies the government-building FM problems in Thailand that are critical to the development of a BIM execution plan (BEP) guideline. The findings can facilitate strategy development for government-building operations and management in line with the public procurement and supply administration of Thailand. These findings can serve as a guideline to inform the development of a BIM Roadmap for integration into the national digital roadmap and the Thailand 4.0 policy to mitigate construction-related environmental and climate issues.
Keywords
Building information modelling (BIM), Facility management, Government building, Relative importance index, Severity index