Bridging the Digital Divide: Overcoming Challenges in Technology Adoption in Malaysia’s Construction Industry

  • Mariatul Liza Meor Gheda Faculty of Technology and Applied Sciences, Open University Malaysia, 47301 Petaling Jaya, Selangor, Malaysia
  • Hong Wai Chung Faculty of Technology and Applied Sciences, Open University Malaysia, 47301 Petaling Jaya, Selangor, Malaysia
  • Fathin Fakhriah Abdul Aziz Faculty of Technology and Applied Sciences, Open University Malaysia, 47301 Petaling Jaya, Selangor, Malaysia
  • Nurul Fizah Mohamad Nusran Faculty of Technology and Applied Sciences, Open University Malaysia, 47301 Petaling Jaya, Selangor, Malaysia
Keywords: Digital technology adoption, Construction industry 4.0, Challenges, Strategies

Abstract

The integration of advanced digital technologies within Malaysia's construction industry represents a transformative step toward enhancing efficiency, sustainability, and global competitiveness in line with the Industry 4.0 revolution. Despite advancements in digital tools like Building Information Modeling (BIM), Internet of Things (IoT), and artificial intelligence, the sector faces challenges such as poor communication, high costs, and resistance to change. This study examines the key factors driving digital technology adoption, the challenges hindering its implementation, and the strategies to accelerate digital transformation within the industry. Using a structured survey method, data was gathered from 141 respondents, including consultants, subcontractors, and project owners actively engaged in Malaysia's construction sector. Enhanced budgeting, cost management, and improved risk management emerge as critical drivers, while lack of process standardisation and digital expertise are noted as secondary concerns. Data-driven decision-making, infrastructure investment, and structured change management are identified as pivotal strategies for successful technology integration. Findings suggest that widespread adoption requires collaboration among stakeholders, comprehensive training programs, and phased implementation plans to address barriers and foster acceptance. This research contributes to Malaysia’s Construction 4.0 framework, emphasising the need for targeted interventions to modernise practices, improve productivity, and achieve national development goals.

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References

Abioye, T. E., Oyedele, L. O., Akanbi, L. A., Ajayi, A. O., Delgado, J. M. D., Bilal, M., & Akinade, O. O. (2021). Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges. Journal of Building Engineering, 44, 103299. https://doi.org/10.1016/j.jobe.2021.103299

Agrawal, V., De Smet, A., Lacroix, S., & Reich, A. (2021). COVID-19: An inflection point for Industry 4.0. McKinsey & Company. Retrieved from https://www.mckinsey.com/capabilities/operations/our-insights/covid-19-an-inflection-point-for-industry-40

Almaiah, M. A., & Al-Khasawneh, A. (2020). Investigating the main determinants of mobile cloud computing adoption in university campus. Education and Information Technologies, 25(6), 3087–3107. https://doi.org/10.1007/s10639-020-10120-8

Almaiah, M. A., Al-Khasawneh, A., Althunibat, A., & AbuShanab, E. (2022). Challenges in adopting digital technologies in construction. Journal of Construction Innovation, 18(2), 145–165. https://doi.org/10.1007/s10639-020-10120-8

Azhar, S., Khalfan, M., & Maqsood, T. (2012). Building information modelling (BIM): Now and beyond. Australasian Journal of Construction Economics and Building, 12(4), 15–28. https://doi.org/10.5130/ajceb.v12i4.3032

Bandara, W. A. A. M., & Athapaththu, J. C. (2024). Factors influence on e-procurement adoption in tea processing factories in Sri Lanka. International Journal of Supply Chain and Logistics, 8(4), 1–27. https://doi.org/10.47941/ijscl.2362

Biernacki, P., & Waldorf, D. (1981). Snowball sampling: Problems and techniques of chain referral sampling. Sociological Methods & Research, 10(2), 141-163. https://doi.org/10.1177/004912418101000205

Boone, H. N., & Boone, D. A. (2012). Analyzing Likert data. Journal of Extension, 50(2), 1–5. https://doi.org/10.34068/joe.50.02.48

Bosch‐Sijtsema, P. M. & Gluch, P. (2019). Challenging construction project management institutions: the role and agency of bim actors. International Journal of Construction Management, 21(11), 1077-1087. https://doi.org/10.1080/15623599.2019.1602585

Chen, B., Wan, J., Shu, L., Li, P., & Mukherjee, M. (2018). Smart Factory of Industry 4.0: Key technologies, application case, and challenges. IEEE Access, 6, 6505–6519. https://doi.org/10.1109/ACCESS.2017.2783682

Chen, H. (2023). Analysis of construction industry information management to improve project management. Journal of Logistics, Informatics and Service Science, 10(3), 249-263. https://doi.org/10.33168/jliss.2023.0319

Chen, X., Chang-Richards, A. Y., Pelosi, A., Jia, Y., Shen, X., Siddiqui, M. K., & Yang, N. (2022). Implementation of technologies in the construction industry: A systematic review. Engineering, Construction and Architectural Management, 29(8), 3181-3209. https://doi.org/10.1108/ECAM-02-2021-0172

Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed). Sage publications.

Demirkesen, S., & Tezel, A. (2022). Investigating major challenges for Industry 4.0 adoption among construction companies. Engineering, Construction and Architectural Management, 29(3), 1470–1503. https://doi.org/10.1108/ECAM-12-2020-1059

Doan, T., Bingert, S., & Yahyapour, R. (2022). Using a workflow management platform in textual data management. Data Intelligence, 4(4), 398–408. https://doi.org/10.1162/dint_a_00139

Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1-4. https://doi.org/10.11648/j.ajtas.20160501.11

Garyaev, N., & Garyaeva, V. (2019). Big data technology in construction. E3S Web of Conferences, 97, 01032. https://doi.org/10.1051/e3sconf/20199701032

Güngör, B., & Leindecker, G. (2024). Digital technologies for inventory and supply chain management in circular economy: A review study on the construction industry. In V. Ungureanu, L. Bragança, C. Baniotopoulos, & K. M. Abdalla (Eds.), 4th International Conference "Coordinating Engineering for Sustainability and Resilience" & Midterm Conference of CircularB “Implementation of Circular Economy in the Built Environment”. CESARE 2024 (Vol. 489, pp. 123-134). Lecture Notes in Civil Engineering. Springer. https://doi.org/10.1007/978-3-031-57800-7_65

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed). Pearson Prentice Hall.

Hallward-Driemeier, M., & Nayyar, G. (2017). Trouble in the making? The future of manufacturing-led development. The World Bank. https://doi.org/10.1596/978-1-4648-1174-6

HSE Network. (2023). The impact of digital technologies in construction. HSE Network. https://www.hse-network.com/the-impact-of-digital-technologies-in-construction/

Kang, J., Xiong, Z., Niyato, D., Zou, Y., Zhang, Y., & Guizani, M. (2020). Reliable federated learning for mobile networks. IEEE Wireless Communications, 27(2), 72–80. https://doi.org/10.1109/MWC.001.1900119

Lorusso, A., & Celenta, G. (2023). Internet of Things in the construction industry: A general overview. In M. Papadrakakis, M. Fragiadakis, & C. Papadimitriou (Eds.), New Technologies, Development and Application VI (pp. 577–584). Springer. https://doi.org/10.1007/978-3-031-31066-9_65

Lu, Y., Xu, X., & Wang, L. (2020). Smart manufacturing process and system automation – A critical review of the standards and envisioned scenarios. Journal of Manufacturing Systems, 56, 312–325. https://doi.org/10.1016/j.jmsy.2020.06.010

Ma, X., Ren, T., & Islam, S. M. N. (2024). Multi-party collaboration in agricultural green technology innovation and adoption: An evolutionary game approach. Sustainability, 16(23), 10236. https://doi.org/10.3390/su162310236

Mantha, B. R. K., García de Soto, B., & Karri, R. (2020). Cyber security threat modeling in the construction industry: A countermeasure example during the commissioning process. OSF Preprints. https://doi.org/10.31224/osf.io/gn78a

Masood, T., & Sonntag, P. (2020). Industry 4.0: Adoption challenges and benefits for SMEs. Computers in Industry, 121, 103261. https://doi.org/10.1016/j.compind.2020.103261

Nguyen, P., & Akhavian, R. (2019). Synergistic effect of Integrated Project Delivery, Lean Construction, and building information modeling on Project Performance Measures: A quantitative and qualitative analysis. Advances in Civil Engineering, 2019(1). https://doi.org/10.1155/2019/1267048

Osorio-Gomez, C.-C., Herrera, R. F., Prieto-Osorio, J. M., & Pellicer, E. (2024). Conceptual model for implementation of digital transformation and organizational structure in the construction sector. Ain Shams Engineering Journal, 15(7), . https://doi.org/10.1016/j.asej.2024.102749

Pal, A., Lin, J. J., Hsieh, S. H., & Golparvar-Fard, M. (2024). Activity-level construction progress monitoring through semantic segmentation of 3D-informed orthographic images. Automation in Construction, 136, 105157. https://doi.org/10.1016/j.autcon.2023.105157

Pallant, J. (2020). SPSS Survival Manual: A Step by Step Guide to Data Analysis Using IBM SPSS (7th ed). Routledge.

Riazi, S. R. M., Zainuddin, M. F., Nawi, M. N. M., Musa, S., & Lee, A. (2020). A critical review of fragmentation issues in the construction industry. Talent Development and Excellence, 12(2s), 1510–1521.

Rinchen, S., Banihashemi, S., & Alkilani, S. (2024). Driving digital transformation in construction: Strategic insights into Building Information Modelling adoption in developing countries. Project Leadership and Society, 5, 100138. https://doi.org/10.1016/j.plas.2024.100138

Sacks, R., Eastman, C. M., Lee, G., & Teicholz, P. (2018). BIM Handbook: A Guide to Building Information Modeling for Owners, Designers, Engineers, Contractors, and Facility Managers. John Wiley & Sons, Inc. https://doi.org/10.1002/9781119287568

Sawhney, A., Riley, M., & Irizarry, J. (2020). Construction 4.0: An innovation platform for the built environment. Routledge. https://doi.org/10.1201/9780429398100

Sepasgozar, S. M., & Davis, S. (2019). Digital construction technology and job-site equipment demonstration: Modelling relationship strategies for technology adoption. Buildings, 9(7), 158. https://doi.org/10.3390/buildings9070158

Shahzaib, M., Aziz, A. A., Fayyaz, K., Irfan, M., Alaloul, W. S., & Musarat, M. A. (2024). Analyzing the nexus between project constraints and social sustainability in construction: A case for a developing economy. Sustainability, 16(22), 9875. https://doi.org/10.3390/su16229875

Srivastava, Y. C., Srivastava, A., Granata, C., & Garg, T. (2022). Digital control tower – Instantaneous visibility, granularity and decision support for an LNG mega project. Paper presented at the ADIPEC, Abu Dhabi, UAE, October 2022. https://doi.org/10.2118/211056-ms

Succar, B. (2009). Building information modelling framework: A research and delivery foundation for industry stakeholders. Automation in Construction, 18(3), 357–375. https://doi.org/10.1016/j.autcon.2008.10.003

Takyi-Annan, G. E., & Zhang, H. (2023). A bibliometric analysis of building information modelling implementation barriers in the developing world using an interpretive structural modelling approach. Heliyon, 9(8), e18601. https://doi.org/10.1016/j.heliyon.2023.e18601

Tan, K. W. (2023). Addressing labor shortages in construction. NST Online. Retrieved from https://api.nst.com.my/authors/kin-weng-tan?utm_source=chatgpt.com

Tavakol, M., & Dennick, R. (2011). ​ Making sense of Cronbach’s alpha. ​ International Journal of Medical Education, 2(53-55). ​ https://doi.org/10.5116/ijme.4dfb.8dfd

Wang, B., Wu, C., Huang, L., & Kang, L. (2019). Using data-driven safety decision-making to realize smart safety management in the era of big data: A theoretical perspective on basic questions and their answers. Journal of Cleaner Production, 210, 1595-1604. https://doi.org/10.1016/j.jclepro.2018.11.181

Zhang, S., Teizer, J., Lee, J.-K., Eastman, C. M., & Venugopal, M. (2013). Building Information Modeling (BIM) and safety: Automatic safety checking of construction models and schedules. Automation in Construction, 29, 183–195. https://doi.org/10.1016/j.autcon.2012.05.006

Published
2025-01-19
How to Cite
Meor Gheda, M. L., Wai Chung, H., Abdul Aziz, F. F. and Mohamad Nusran, N. F. (2025) “Bridging the Digital Divide: Overcoming Challenges in Technology Adoption in Malaysia’s Construction Industry”, Malaysian Journal of Social Sciences and Humanities (MJSSH), 10(1), p. e003137. doi: 10.47405/mjssh.v10i1.3137.
Section
Articles