Cloud-Based Real-Time Collaboration in the Construction Planning Phase: Adoption, Implementation and Success Factors Explored
Main Article Content
Abstract
The construction industry is confronted with persistent challenges in the enhancement of project planning and collaboration to enhance efficiency and performance. Nevertheless, recent technological advancements have introduced cloud-based real-time collaboration (CRTC) tools as promising solutions for streamlining project planning processes. The objectives of this research are: (1) to investigate the current adoption and tools of CRTC in the construction industry within the project planning phase, (2) to identify the implementation of construction projects that adopted CRTC and (3) to analyse the critical success factors that contribute to the adoption of CRTC in the construction industry. The quantitative method was employed, utilising a structured questionnaire survey to gather data from 120 respondents who represent various construction industry players. The research findings highlighted that the current adoption is “moderately familiar” with CRTC in the construction industry and the implementation of construction projects is “significantly better” when CRTC is adopted. Five key factors impact the successful adoption of CRTC tools into construction project planning processes: (1) top management support, (2) budget and cost, (3) data security and privacy, (4) compatibility and (5) perceived industry pressure. By comprehending and identifying these factors, construction stakeholders can develop targeted strategies to effectively expedite the adoption of CRTC tools. Furthermore, this research contributes to the expanding body of knowledge on digital transformation within the construction industry and provides valuable insights for decision-makers, project teams and technology providers. The research was aligned with the Construction 4.0 Strategic Plan (2021–2025), Malaysian Digital Economic Blueprint and Sustainable Development Goals no. 9. Additionally, the outcomes of this research have the potential to cultivate a collaborative environment within the construction industry, resulting in improved project planning and execution, reduced project delays and enhanced overall project outcomes.
Article Details

This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Abbasi, G.A., Rahim, N.F.A., Wu, H., Iranmanesh, M. and Keong, B.N.C. (2022).
Determinants of SME’s social media marketing adoption: Competitive industry
as a moderator. SAGE Open, 12(1). https://doi.org/10.1177/21582440211067220
Abdulkareem, S. (2020). Methods of project planning for construction projects.
Available at: https://www.researchgate.net/publication/338541301
Abedi, M., Rawai, N.M., Fathi, M.S. and Mirasa, A.K. (2014). Cloud computing
as a construction collaboration tool for precast supply chain
management. Jurnal Teknologi (Sciences and Engineering), 70(7).
https://doi.org/10.11113/jt.v70.3569
Al-Ashmori, Y.Y., Othman, I., Rahmawati, Y., Amran, Y.H.M., Sabah, S.H.A.,
Rafindadi, A.D. and Mikić, M. (2020). BIM benefits and its influence on the BIM
implementation in Malaysia. Ain Shams Engineering Journal, 11(4): 1013–1019.
https://doi.org/10.1016/j.asej.2020.02.002
Alreshidi, E., Mourshed, M. and Rezgui, Y. (2018). Requirements for cloudbased BIM governance solutions to facilitate team collaboration
in construction projects. Requirements Engineering, 23(1): 1–31.
https://doi.org/10.1007/s00766-016-0254-6
Alreshidi, E., Mourshed, M. and Rezgui, Y. (2017). Factors for effective BIM governance. Journal of Building Engineering,
: 89–101. https://doi.org/10.1016/j.jobe.2017.02.006
Baduge, S.K., Thilakarathna, S., Perera, J.S., Arashpour, M., Sharafi, P., Teodosio,
B., Shringi, A. and Mendis, P. (2022). Artificial intelligence and smart
vision for building and construction 4.0: Machine and deep learning
methods and applications. Automation in Construction, 141: 104440.
https://doi.org/10.1016/j.autcon.2022.104440
Bughin, J., Hazan, E., Ramaswamy, S., Chui, M., Allas, T., Dahlström, P., Henke, N. and
Trench, M. (2017). Artificial intelligence the next digital frontier? Available at:
Chang, J., Cui, B. and Zhong, D.H. (2012). Research on construction schedule realtime control of high core rock-fill dam based on digital monitoring. Advanced
Materials Research, 588–589: 1062–1067. https://doi.org/10.4028/www.
scientific.net/AMR.588-589.1062
CIDB (Construction Industry Development Board) (2020). Construction 4.0 Strategic
Plan (2021–2025) Next Revolution of the Malaysian Construction Industry.
Kuala Lumpur: CIDB.
Correia, S.R.V. and Martens, C.D.P. (2023). Cloud computing projects:
Critical success factors. RAUSP Management Journal, 58(1): 5–21.
https://doi.org/10.1108/RAUSP-06-2021-0107
Craveiro, F., Duarte, J.P., Bartolo, H. and Bartolo, P.J. (2019). Additive
manufacturing as an enabling technology for digital construction: A
perspective on Construction 4.0. Automation in Construction, 103: 251–267.
https://doi.org/10.1016/j.autcon.2019.03.011
Dastider, S.G. and Rosa, L. (2021). A cast study to investigate an affordable cloudbased server for worksharing to benefit academia and small businesses.
International Journal of Scientific Research and Management, 9(4): 39–46.
https://doi.org/10.18535/ijsrm/v9i04.cs01
Dehdasht, G., Ferwati, M.S., Abidin, N.Z. and Oyedeji, M.O. (2021). Trends of
construction industry in Malaysia and its emerging challenges. Journal of
Financial Management of Property and Construction, 27(2): 161–178. https://
doi.org/10.1108/JFMPC-08-2020-0054
Diener, E., Oishi, S. and Tay, L. (2018). Advances in subjective well-being research.
Nature Human Behaviour, 2(4): 253–260. https://doi.org/10.1038/s41562-018-
-6
Ejidike, C.C. and Mewomo, M.C. (2023). Benefits of adopting smart building
technologies in building construction of developing countries: Review of
literature. SN Applied Sciences, 5(2): 52. https://doi.org/10.1007/s42452-022-
-y
Fu, H.P., Chang, T.H., Lin, S.W., Teng, Y.H. and Huang, Y.Z. (2023). Evaluation
and adoption of artificial intelligence in the retail industry. International
Journal of Retail and Distribution Management, 51(6): 773–790.
https://doi.org/10.1108/IJRDM-12-2021-0610
García-Valls, M., Cucinotta, T. and Lu, C. (2014). Challenges in real-time virtualisation
and predictable cloud computing. Journal of Systems Architecture, 60(9):
–740. https://doi.org/10.1016/j.sysarc.2014.07.004
Grover, P., Kar, A.K. and Dwivedi, Y.K. (2022). Understanding artificial intelligence
adoption in operations management: Insights from the review of academic
literature and social media discussions. Annals of Operations Research,
(1–2): 177–213. https://doi.org/10.1007/s10479-020-03683-9
Heap, Y.C., Balamuralithara, B. and Chong, S.C. (2011). Construction
contract administration in Malaysia using DFD: A conceptual model.
Industrial Management and Data Systems, 111(9): 1449–1464.
https://doi.org/10.1108/02635571111182782
Ishak, M.F., Alauddin, K. and Ibrahim, M.S.H. (2019). Late and non-payments issues in
the Malaysian construction industry: Perspective of building material suppliers.
Malaysian Journal of Sustainable Environment, 6(1): 39–56.
Jiancheng, S., Changsaar, C., Hunchuen, G. and Yaoli, X. (2021). Enhancing project
integration using cloud-based building information modelling: A conceptual
model. International Journal of Advanced Research in Technology and
Innovation, 3(3): 12–25.
Khudzari, F., Rahman, R.A. and Ayer, S.K. (2021). Factors affecting the adoption
of emerging technologies in the Malaysian construction industry. IOP
Conference Series: Earth and Environmental Science, 641(1): 012006. https://
doi.org/10.1088/1755-1315/641/1/012006
Lee, Y.C., Shariatfar, M., Rashidi, A. and Lee, H.W. (2020). Evidence-driven
sound detection for prenotification and identification of construction
safety hazards and accidents. Automation in Construction, 113: 103127.
https://doi.org/10.1016/j.autcon.2020.103127
Lopes, J., Oliveira, R. and Abreu, M.I. (2017). The sustainability of the construction
industry in Sub-saharan Africa: Some new evidence from recent data. Procedia
Engineering, 172: 657–664. https://doi.org/10.1016/j.proeng.2017.02.077
Ma, J., Zhou, H., Liu, C., Mingcheng, E., Jiang, Z. and Wang, Q. (2020).
Study on edge-cloud collaborative production scheduling based
on enterprises with multi-factory. IEEE Access, 8: 30069–30080.
https://doi.org/10.1109/ACCESS.2020.2972914
McNeish, D. (2018). Thanks coefficient alpha, we’ll take it from here. Psychological
Methods, 23(3): 412–433. https://doi.org/10.1037/met0000144
Mell, P. and Grance, T. (2011). The NIST definition of cloud computing:
Recommendations of the National Institute of Standards and Technology.
NIST Special Publication 800-145. https://doi.org/10.6028/NIST.SP.800-145
Mohd Fateh, M.A. and Nikmat, N.S. (2023). Common defects in public institutional
buildings in Malaysia. Journal of Sustainability Science and Management,
(7): 36–53. https://doi.org/10.46754/jssm.2023.07.003
Mohd Fateh, M.A. and Zamri, D.A. (2022). Challenges of working from home
and the mitigation actions to overcome the challenges from the quantity
surveyors’perspective. Journal of Sustainability Science and Management,
(8): 144–164. https://doi.org/http://doi.org/10.46754/jssm.2022.08.009
Musarat, M.A., Alaloul, W.S. and Liew, M.S. (2021). Impact of inflation rate on
construction projects budget: A review. Ain Shams Engineering Journal, 12(1):
–414. https://doi.org/10.1016/j.asej.2020.04.009
Nagendra, S.V. and Rafi, N. (2018). Application of AI in construction project
management. International Journal of Research in Engineering, Science and
Management, 1(12): 423–427.
Oesterreich, T.D. and Teuteberg, F. (2016). Understanding the implications
of digitisation and automation in the context of Industry 4.0: A
triangulation approach and elements of a research agenda
for the construction industry. Computers in Industry, 83: 121–139.
https://doi.org/10.1016/j.compind.2016.09.006
Oke, A., Kineber, A., Albukhari, I., Othman, I. and Kingsley, C. (2021). Assessment of
cloud computing success factors for sustainable construction industry: The
case of Nigeria. Buildings, 11(2): 36. https://doi.org/10.3390/buildings11020036
Okereke, R.A., Ihekweme, N.M. and Adegboyega, M. (2022). Impact of traditional
procurement system on construction project delivery. Journal of Project
Management Practice, 2(2): 23–38. https://doi.org/10.22452/jpmp.vol2no2.2
Omar, F. and Mohd Fateh, M.A. (2023). Cost benefit analysis (CBA) in building
information modelling (BIM) application in government healthcare
facilities projects in Malaysia. Planning Malaysia, 21(2): 25–39.
https://doi.org/10.21837/pm.v21i26.1257
Onungwa, I., Olugu-Uduma, N. and Shelden, D.R. (2021). Cloud BIM technology as
a means of collaboration and project integration in smart cities. SAGE Open,
(3). https://doi.org/10.1177/21582440211033250
Opeyemi, I.L., Ogunnubi, T., Orimoloye, M., Abraham, A. and Ukwunna,
C. (2019). Project scheduling tools and techniques for effective
construction management. Advances in Multidisciplinary
and Scientific Research Journal Publication, 15(1): 321–338.
https://doi.org/10.22624/AIMS/iSTEAMS-2019/V15N1P30
Oraee, M., Hosseini, M.R., Edwards, D.J., Li, H., Papadonikolaki, E. and Cao, D. (2019).
Collaboration barriers in BIM-based construction networks: A conceptual
model. International Journal of Project Management, 37(6): 839–854. https://
doi.org/10.1016/j.ijproman.2019.05.004
Phillips-Wren, G. and McKniff, S. (2020). Overcoming resistance to big data and
operational changes through interactive data visualization. Big Data, 8(6):
–539. https://doi.org/10.1089/big.2020.0056
Rashidi, A. and Ibrahim, R. (2017). Industrialized construction chronology:
The disputes and success factors for a resilient construction industry in
Malaysia. The Open Construction and Building Technology Journal, 11.
https://doi.org/10.2174/1874836801711010286
Shamim, M. (2022). Information security: The landscape of management in electronic
record. Proceedings of the International Seminar on Business, Education and
Science, 1(1): 336–348. https://doi.org/10.29407/int.v1i1.2689
Sharma, T.K. and Saini, H. (2019). State of art on efficient document co-editing in
cloud collaboration. International Journal of Spatio-Temporal Data Science,
(1): 114. https://doi.org/10.1504/IJSTDS.2019.097604
Shila, M., Jayanti, S. and Bibhav, A. (2023). Reliability analysis of a self-developed
elderly well-being scale. International Journal of Health Sciences and
Research, 13(2): 69–75. https://doi.org/10.52403/ijhsr.20230211
Smith, P. (2014). Project cost management: Global issues and challenges.
Procedia – Social and Behavioral Sciences, 119: 485–494.
https://doi.org/10.1016/j.sbspro.2014.03.054
Soto, B.G.D., Agustí-Juan, I., Joss, S. and Hunhevicz, J. (2019). Implications
of Construction 4.0 to the workforce and organizational structures.
International Journal of Construction Management, 22(2): 205–217.
https://doi.org/10.1080/15623599.2019.1616414
Srivastava, Y.C., Srivastava, A., Granata, C. and 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, 31 October–3
November. https://doi.org/10.2118/211056-MS
Subramanian, G., Patil, B.T. and Gardas, B.B. (2021). Evaluation of enablers of cloud
technology to boost industry 4.0 adoption in the manufacturing micro, small
and medium enterprises. Journal of Modelling in Management, 16(3): 944–
https://doi.org/10.1108/JM2-08-2020-0207
Sukiman, M.A. (2020). The critical success factors of cloud based application
implementation in construction management. Master’s diss. University of
Malaya.
Tahir, M.M., Haron, N.A., Alias, A.H., Harun, A.N., Muhammad, I.B. and Baba,
D.L. (2018). Improving cost and time control in construction using building
information model (BIM): A review. Pertanika Journal of Science and
Technology, 26(1): 21–36.
Tao, J., Marten, H., Kramer, D. and Karl, W. (2011). An intuitive framework for
accessing computing clouds. Procedia Computer Science, 4: 2049–2057.
https://doi.org/10.1016/j.procs.2011.04.224
Walker, D.H.T., Davis, P.R. and Stevenson, A. (2017). Coping with uncertainty
and ambiguity through team collaboration in infrastructure projects.
International Journal of Project Management, 35(2): 180–190.
https://doi.org/10.1016/j.ijproman.2016.11.001
Wong, J., Wang, X., Li, H., Chan, G. and Li, H. (2014). A review of cloud-based BIM
technology in the construction sector. Journal of Information Technology in
Construction, 19(August): 281–291.
Wood, D.J. and Gray, B. (1991). Toward a comprehensive theory of
collaboration. The Journal of Applied Behavioral Science, 27(2): 139–162.
https://doi.org/10.1177/0021886391272001
Wood, L. (2020). $90.6 billion worldwide precast construction industry to
: Impact of COVID-19 on the Market. Research and Markets,
November. Available at: https://www.globenewswire.com/fr/newsrelease/2020/11/20/2130948/28124/en/90-6-Billion-Worldwide-PrecastConstruction-Industry-to-2027-Impact-of-COVID-19-on-the-Market.html
Yap, J.B.H., Abdul-Rahman, H. and Chen, W. (2017). Collaborative model: Managing
design changes with reusable project experiences through project learning
and effective communication. International Journal of Project Management,
(7): 1253–1271. https://doi.org/10.1016/J.IJPROMAN.2017.04.010
Zhang, L., Cao, T. and Wang, Y. (2018). The mediation role of leadership
styles in integrated project collaboration: An emotional intelligence
perspective. International Journal of Project Management, 36(2): 317–330.
https://doi.org/10.1016/j.ijproman.2017.08.014
Zhang, N., Hwang, B.-G., Deng, X. and Tay, F. (2022). Exploring critical success factors
for collaborative contracting implementation in the Singapore construction
industry. Engineering, Construction and Architectural Management,
Forthcoming. https://doi.org/10.1108/ECAM-05-2022-0398
Zuhairi, A.N.F.A., Mohd Fateh, M.A. and Hong, W.T. (2022). Enhancing leadership
behaviour to improve employee motivation during the COVID-19 pandemic.
Malaysian Construction Research Journal, 17(3): 209–227.
Zuhairy, M., Iberahim, H. and Ismail, N. (2015). Relationship between innovation
and organizational performance in construction industry in Malaysia.
Universal Journal of Industrial and Business Management, 3(4): 87–99.