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Building Information Modelling (BIM) for Construction Supply Chain: A Scientometric Analysis

  • Syed Haseeb Ahmad
  • Melissa Chan
  • Wei Yang
  • Hongyu Jin
  • Amirhossein Heravi

The automation and innovation have impacted Architecture, Engineering and Construction Industry, particularly when transitioning from traditional or conventional methods of construction to modular or Industrialized Building System (IBS). Thus, to ameliorate the processes surrounding built environment, researchers have been interested in the BIM’s integration into construction industry. To ensure BIM’s adoption and integration into construction supply chain, supply chain’s management and procurement, we need to have an extensive comprehensive research base regarding global outlook of BIM’s relation with supply chain. The purpose of this study is to identify global scientific research patterns and trends related to BIM’s role in supply chain, by performing scientometric analysis. The scientometric analysis will help us analyze the work being done in this field and whether a significant literature exists that supports or helps in adoption of this idea. Most of the already existing research on BIM is performed on various other aspects of BIM like infrastructure sustainability, green buildings, design, framework, management of facilities and other BIM related managerial aspects. Thus, it is highly imperative to systematize and analyze the existing global scientific literature research to identify the global trends and frontiers on current BIM’s relation with construction supply chain. Not only this would pave the way towards identification of current relevant literature but would also lay down the foundations for digital transformation in construction

  • Keywords:
  • Building information modelling (BIM),
  • construction,
  • digitalisation,
  • procurement,
  • scientometric,
  • supply chain management,
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Syed Haseeb Ahmad

Multiplex, Australia

Melissa Chan

Victoria University, Australia - ORCID: 0000-0003-1589-6850

Wei Yang

University of Melbourne, Australia - ORCID: 0000-0002-3673-6488

Hongyu Jin

Auckland University, New Zealand - ORCID: 0000-0001-9316-6971

Amirhossein Heravi

University of Southern Queensland, Australia - ORCID: 0000-0003-2939-7745

  1. Akinlolu, M., Haupt, T. C. & Edwards, D. J. (2020). A bibliometric review of the status and emerging research trends in construction safety management technologies. International Journal of Construction Management, 22(14), 2699-2711. DOI: 10.1080/15623599.2020.1819584
  2. Getuli, V., Ventura, S. M., Capone, P., & Ciribini, A. (2016). A BIM-based Construction Supply Chain Framework for Monitoring Progress and Coordination of Site Activities. Procedia Engineering, 164, 542-549. DOI: 10.1016/j.proeng.2016.11.656
  3. Holzer, D. (2015). BIM for procurement - procuring for BIM. In Living and Learning: Research for a Better Built Environment: 49th International Conference of the Architectural Science Association (p. 237). Available at: https://anzasca.net/wp-content/uploads/2015/12/023_Holzer_ASA2015.pdf
  4. Iftikhar, P. M., Ali, F., Faisaluddin, M., Khayyat, A., De Gouvia De Sa, M., & Rao, T. (2019). A Bibliometric Analysis of the Top 30 Most-cited Articles in Gestational Diabetes Mellitus Literature. Cureus, 11(2). doi: 10.7759/cureus.4131.
  5. Khalfan, M., Khan, H. & Maqsood, T. (2015). Building Information Model and Supply Chain Integration: A Review. Journal of Economics, Business and Management, 3(9), 912-916. . DOI: 10.7763/JOEBM.2015.V3.308
  6. Le, P. L, Chaabane, A., & Dao, T-M. (2022). BIM contributions to construction supply chain management trends: an exploratory study in Canada. International Journal of Construction Management, 22(1), 66-84. DOI: 10.1080/15623599.2019.1639124
  7. McKinsey & Company (2015). Megaprojects: The good, the bad, and the better (July 2015). Infrastructure- Nicklas Garemo, Stefan Matzinger and Robert Palter). Available at: https://www.mckinsey.com.br/~/media/McKinsey/Industries.
  8. Papadonikolaki, E., Vrijhoef, R., & Wamelink, H. (2015). A BIM-based supply chain model for AEC. In First International Conference of Building Information Modelling (BIM) (Vol.149, p.181). DOI: 10.2495/BIM150161
  9. Pritchard, Alan. (1969). Statistical Bibliography or Bibliometrics? Journal of Documentation. 25(4), 348-349. DOI: 10.1007/BF00992890
  10. Rathnasinghe, A.P., Wijewickrama, M. K. C. S., Kulatunga, U., & Jayasena, H. S. (2019). Integration of BIM and Construction Supply Chain Through Supply Chain Management; An Information Flow Model. In International Conference on Sustainable Built Environment (ICSBE 2018) (Vol.44, p.604). DOI: 10.1007/978-981-13-9749-3_53
  11. Wang, Y., Gosling, J., & Naim, M. M. (2017). Accelerating BIM adoption in the supply chain. Available at: http://assets.highways.gov.uk/specialist-information/knowledge-compendium.
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  • Anno di pubblicazione: 2023
  • Pagine: 477-488

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  • Anno di pubblicazione: 2023

Informazioni sul capitolo

Titolo del capitolo

Building Information Modelling (BIM) for Construction Supply Chain: A Scientometric Analysis

Autori

Syed Haseeb Ahmad, Melissa Chan, Wei Yang, Hongyu Jin, Amirhossein Heravi

DOI

10.36253/979-12-215-0289-3.46

Opera sottoposta a peer review

Anno di pubblicazione

2023

Copyright

© 2023 Author(s)

Licenza d'uso

CC BY-NC 4.0

Licenza dei metadati

CC0 1.0

Informazioni bibliografiche

Titolo del libro

CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality

Sottotitolo del libro

Managing the Digital Transformation of Construction Industry

Curatori

Pietro Capone, Vito Getuli, Farzad Pour Rahimian, Nashwan Dawood, Alessandro Bruttini, Tommaso Sorbi

Opera sottoposta a peer review

Anno di pubblicazione

2023

Copyright

© 2023 Author(s)

Licenza d'uso

CC BY-NC 4.0

Licenza dei metadati

CC0 1.0

Editore

Firenze University Press

DOI

10.36253/979-12-215-0289-3

eISBN (pdf)

979-12-215-0289-3

eISBN (xml)

979-12-215-0257-2

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2704-601X

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2704-5846

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