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Abdullahi Babatunde Saka

Researcher at Hong Kong Polytechnic University

Publications -  26
Citations -  361

Abdullahi Babatunde Saka is an academic researcher from Hong Kong Polytechnic University. The author has contributed to research in topics: Computer science & Building information modeling. The author has an hindex of 7, co-authored 13 publications receiving 143 citations. Previous affiliations of Abdullahi Babatunde Saka include Federal University of Technology Akure.

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A Scientometric Review and Metasynthesis of Building Information Modelling (BIM) Research in Africa

TL;DR: In this article, the authors present a scientometric review and metasynthesis of BIM development in the African AEC industry to explore the intellectual evolution of the BIM, the status quo of the emerging BIM across the regions, and any potential barriers hindering BIM proliferation.
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Profound barriers to building information modelling (BIM) adoption in construction small and medium-sized enterprises (SMEs): An interpretive structural modelling approach

TL;DR: In this paper, an interpretive structural modeling approach was adopted to develop a hierarchical model of the interrelationships of the barriers to building information modelling (BIM) adoption from the perspective of small and medium-sized enterprises (SMEs) in developing countries with the Nigerian construction industry as a case study.
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Drivers of Sustainable Adoption of Building Information Modelling (BIM) in the Nigerian Construction Small and Medium-Sized Enterprises (SMEs)

TL;DR: In this article, the authors investigate the major drivers of sustainable adoption of building information modeling in SMEs and the dynamics of these drivers in developing countries using interpretive structural modelling approach and Matrice d'Impacts croisesmultipication applique a classement (MICMAC) analysis.
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A global taxonomic review and analysis of the development of BIM research between 2006 and 2017

TL;DR: In this paper, the status of development of building information modelling (BIM), its trends and themes across the six continents of the world was reviewed and a best-fit approach was applied in selecting the suitable software programs for the scientometric analysis and comparisons and deductions were made.
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Knowledge, skills and functionalities requirements for quantity surveyors in building information modelling (BIM) work environment: an international Delphi study

TL;DR: The survey findings underscored the need for quantity surveyors to be BIM compliant and identified 8 knowledge areas, 7 domain-specific skills, and 9 domain- specific BIM functionalities for the quantity surveyor along with the industry required level of expertise using the cognitive domain of Bloom’s taxonomy.