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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
A bibliometric analysis of building information modelling implementation barriers in the developing world using an
Georgina Esi Takyi-Annan1, Hong Zhang1
1School of Architecture, Southeast University, No.90 Chengxian Street, Xuanwu District, Nanjing, Jiangsu Province, 210096, China.
Building Information Modelling (BIM) adoption in developing countries faces significant barriers, with high costs being the most critical. Lack of government support exacerbates these challenges, hindering Industry 4.0 progress in the AEC sector.
Area of Science:
- Construction Management
- Information Technology in AEC
- Developing Economies
Background:
- Building Information Modelling (BIM) is crucial for Industry 4.0 in Architecture, Engineering, and Construction (AEC).
- Concerns exist regarding BIM implementation challenges in developing nations.
- Existing literature has explored BIM Implementation Barriers (BIMIBs) globally but lacks specific focus on developing regions.
Purpose of the Study:
- To identify the most prevalent BIMIBs encountered by AEC industries in the developing world.
- To analyze the interrelationships between these identified BIMIBs.
- To establish a foundational knowledge base for future BIM implementation research in developing contexts.
Main Methods:
- Combined expert interviews with bibliometric analysis of empirical studies.
- Employed Interpretive Structural Modelling (ISM) and MICMAC analysis to map barrier interrelationships.
Main Results:
- Identified 14 distinct BIMIBs.
- Determined 'high associated cost' as the most fundamental barrier.
- Highlighted a lack of governmental support for BIM implementation and research as a root cause for many identified barriers.
Conclusions:
- High costs and insufficient governmental support are primary obstacles to BIM adoption in developing countries.
- Understanding barrier interrelationships is key to effective mitigation strategies.
- This study provides critical insights for advancing BIM implementation in emerging economies.
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