System Dynamic Framework for Integrating Building Information Modelling with Construction Productivity Measurement in Hong Kong

Relatively high construction cost in Hong Kong requires the industry to improve construction productivity substantially in order to stay competitive. An appropriate construction productivity measurement (CPM) method is crucial to improving construction productivity. While previous studies have highlighted the benefits of integrating building information modelling (BIM) with CPM, BIM is not yet fully utilized in CPM practices due to various constraints. Therefore, this paper aims to overcome the constraints by developing a system dynamic (SD) framework for integrating BIM with CPM. First, a systematic literature review is carried out to identify the wide-ranging constraints and strategies for integrating BIM with the construction industry. Second, the literature findings are validated as applicable to the CPM context through semi-structured interviews with academic researchers and experts in the Hong Kong construction industry. Finally, the constraints and strategies are modelled using the SD approach, which reveals complicated interrelations between them. Constraints and strategies are grouped into six categories, namely, financial, technological and technical, legal and contractual, organizational and managerial, behavioral and cultural, and informational. The SD framework contributes to an in-depth study of the many influencing constraints and strategies and the inter-linked relations. The proposed framework will help practitioners overcome the constraints and embrace BIM utilization for CPM by referring to the strategies proposed.

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Publication Details

Journal
CIB Conferences
Published
2025-06-19
DOI
https://doi.org/10.7771/3067-4883.1905
Primary Topic
BIM and Construction Integration
Type
article
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article

System Dynamic Framework for Integrating Building Information Modelling with Construction Productivity Measurement in Hong Kong

A. Shandraseharan, Wei Pan
CIB Conferences
BIM and Construction Integration
article

System Dynamic Framework for Integrating Building Information Modelling with Construction Productivity Measurement in Hong Kong

A. Shandraseharan, Wei Pan
article en

Abstract

Relatively high construction cost in Hong Kong requires the industry to improve construction productivity substantially in order to stay competitive. An appropriate construction productivity measurement (CPM) method is crucial to improving construction productivity. While previous studies have highlighted the benefits of integrating building information modelling (BIM) with CPM, BIM is not yet fully utilized in CPM practices due to various constraints. Therefore, this paper aims to overcome the constraints by developing a system dynamic (SD) framework for integrating BIM with CPM. First, a systematic literature review is carried out to identify the wide-ranging constraints and strategies for integrating BIM with the construction industry. Second, the literature findings are validated as applicable to the CPM context through semi-structured interviews with academic researchers and experts in the Hong Kong construction industry. Finally, the constraints and strategies are modelled using the SD approach, which reveals complicated interrelations between them. Constraints and strategies are grouped into six categories, namely, financial, technological and technical, legal and contractual, organizational and managerial, behavioral and cultural, and informational. The SD framework contributes to an in-depth study of the many influencing constraints and strategies and the inter-linked relations. The proposed framework will help practitioners overcome the constraints and embrace BIM utilization for CPM by referring to the strategies proposed.

CIB ConferencesVol. 1(1)
University of Hong Kong (HK)
Decent work and economic growth
Openalex Percentile: Top 85%
BIM and Construction Integration
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System Dynamic Framework for Integrating Building Information Modelling with Construction Productivity Measurement in Hong Kong — A. Shandraseharan, Wei Pan · CIB Conferences (2025) | TGRS Research Map | TGRS