ISSN: 2222-6990
Open access
Globally, the construction sector suffers from low productivity levels due to a large proportion of the workforce consisting of low-skilled laborers. In order to integrate design and construction workflows with the objective of enhancing productivity, there is a considerable need to move from traditional methods to advanced techniques such as Building Information Modeling (BIM). Clear and convincing benefits are key to ensuring the viability of the BIM implementation process, especially for small to medium enterprises (SMEs) that need encouragement to transition to BIM. While the architectural, engineering, and construction (AEC) industry has recently embraced BIM, its adoption has been slow for decades, primarily due to the substantial financial risk, particularly for local SMEs. These SMEs must identify clear and obvious benefits to justify the high initial transition cost from traditional construction approaches to BIM-based methods. The high initial cost of implementing BIM systems in SME businesses limits its implementation among construction professionals. However, one appealing benefit that encourages the implementation and acceptance of BIM in the construction sector is its potential to improve labor productivity. Despite the development of methods to investigate the benefits of BIM in terms of labor productivity, empirical quantification of labor productivity remains challenging and complex due to BIM's innovations, project complexity, and the lack of standard, unified productivity measurements. This study aims to provide guidelines for construction players to understand how BIM is used in projects and apply best practices to prevent project delays and cost overruns while improving communication among project participants and enhancing labor productivity.
Ahmad, I., Pitt, M., & Khan, L. (2012). Building Information Modeling: A Necessity for Sustainable Design and Construction. Sustainable Cities and Society, 2(1), 61-69.
Azhar, S. (2011). Building Information Modeling (BIM): Trends, Benefits, Risks, and Challenges for the AEC Industry. Leadership and Management in Engineering, 11(3), 241-252.
Borrmann, A., Rank, E., Tauscher, M., & Stengel, J. (2015). Future Directions of BIM: A Delphi Study. Automation in Construction, 49, 173-180.
Boukara, M., Naamane, A., & France, L. (2015). BIM, from Concept to Operations: A Review of the State of the Art. Automation in Construction, 57, 1-10.
Bryde, D., Broquetas, M., & Volm, J. M. (2013). The Project Benefits of Building Information Modelling (BIM). International Journal of Project Management, 31(7), 971-980.
Chien, S. W., Wu, P. C., & Huang, Y. M. (2014). Critical risk factors for implementing building information modeling (BIM): A Delphi study in Taiwan. Journal of Civil Engineering and Management, 20(5), 607-619.
Enegbuma, W., & Ali, K. N. (2011). The use of building information modeling (BIM) in construction industry. African Journal of Business Management, 5(11), 4105-4110.
Fan, S. L., Chong, H. Y., Liu, M., & Kang, J. (2014). BIM-Enabled Sustainability Analysis for Prefabricated Prefinished Volumetric Construction. Journal of Construction Engineering and Management, 140(4), 04013032.
Hiyassat, O., Link, C. R., & Liu, R. (2016). Factors affecting construction labor productivity in Jordan. Journal of Management in Engineering, 32(1), 04015022.
Ibrahim, Y., & Rashidi, A. (2014). The benefits of using BIM in the construction industry. International Journal of Engineering Sciences & Research Technology, 3(4), 156-163.
Introduction To Literature Review. (2020). Research & Learning Online. Retrieved from https://www.monash.edu/rlo/research-writing-assignments/researching/reflective-writing/introduction-to-literature-review
Jarkas, A. M., & Bitar, A. M. (2012). Factors affecting labor productivity in building projects in the United Arab Emirates. Journal of Management in Engineering, 28(3), 276-284.
Mahamid, I., & Aichouni, M. (2013). Factors affecting labor productivity in building projects in the West Bank, Palestine. Journal of Civil Engineering and Architecture, 7(6), 699-713.
McCombes, S. (2021). How to Write a Literature Review for a Research Paper. Scribbr. Retrieved from https://www.scribbr.com/dissertation/literature-review/
Memon, S. A., Rahman, I. A., Abdullah, M. R., & Amin, S. M. (2014). BIM: A Review of Performance and Potential in Construction Projects. International Journal of Engineering and Advanced Technology, 3(5), 292-295.
Monash University. "Introduction To Literature Review".
[Link](https://www.monash.edu/rlo/research-writing-assignments/researching/reflective-writing/introduction-to-literature-review)
Noor, N. M., Fathi, M. S., Tahir, M. M., & Zawawi, N. A. (2018). Evaluating the benefits of building information modeling (BIM) in facility management. Journal of Facilities Management, 16(4), 386-400.
Olawumi, T. O., & Chan, A. P. (2019). "Building Information Modeling (BIM) in Construction Industry - A Review"
[Link](https://www.sciencedirect.com/science/article/pii/S2352710218316815)
Olawumi, T. O., & Chan, A. P. (2019). Benefits and Barriers of BIM Implementation in Construction: A Review. Journal of Building Engineering, 25, 100797.
Rogers, J. R., González, V. A., Smith, T. R., & Eastman, C. M. (2015). Top ten barriers to the adoption of BIM in the US building industry. Journal of Construction Engineering and Management, 141(7), 05015004.
Schade, J., Münster, S., Heiskanen, E., Niskala, M., & Jalas, M. (2011). Implementing Building Information Modeling (BIM) for Energy Performance Analysis in the Early Design Phase: A Case Study. Automation in Construction, 20(2), 217-224.
Smith, D. K., Sullivan, K. T., & Tse, P. U. (2022). Building Information Modeling and Small Construction Firm Productivity: An Investigation. Journal of Management in Engineering, 38(2), 04021016.
Tahir, M., Ahmed, V., & Naseer, A. (2015). Factors affecting construction labor productivity in Pakistan. International Journal of Construction Engineering and Management, 4(1), 1-9.
Wong, J. H., Rashidi, A., & Arashpour, M. (2020). Evaluating the impact of building information modeling on the labor productivity of construction projects in Malaysia. Buildings,10(4).https://doi.org/10.3390/BUILDINGS1004006
Hashim, M. Z., Harun, N. A., Othman, I., Hassan, S. H., & Musa, M. K. (2024). The Impact of Building Information Modelling (BIM) on Labor Productivity. International Journal of Academic Research in Business and Social Sciences, 14(9), 55–66.
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