Investigating key factors in the digitalization of value engineering in the Malaysian construction industry
DOI: https://doi.org/10.3846/jcem.2026.25855Abstract
Value Engineering (VE) is widely recognized for enhancing value and minimizing unnecessary costs in construction projects. As the industry moves toward digital transformation, integrating digital tools into the VE process offers new opportunities to improve efficiency, collaboration, and decision-making. This study aims to identify and evaluate the critical factors influencing the digitalization of VE in the Malaysian construction industry and to propose a validated conceptual framework tailored to its specific context. A quantitative approach was employed, using data from 199 Malaysian construction professionals and analyzed through Structural Equation Modelling (SEM). The confirmatory factor analysis revealed high factor loadings (≥ 0.8) for key enablers such as real-time information access, data validation, digital workflow integration, operational scalability, regulatory compliance, decision-support systems, and long-term implementation support, including training and system maintenance. In contrast, lower loadings (< 0.7) for constructs like alternative evaluation and return on investment suggest a declining emphasis on traditional costcentric perspectives. The findings demonstrate that digitalizing VE can lead to enhanced project value, cost efficiency, and process automation within the Malaysian construction sector. The study introduces a comprehensive, phase-based conceptual framework that integrates digital technologies with conventional VE practices, offering actionable insights for project managers, engineers, and policymakers seeking to adopt and scale digital VE in Malaysia.
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value engineering, digitalization, residential buildings, functional analysis, structural equation modellingHow to Cite
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References
Abdelghany, M., Rachwan, R., Abotaleb, I., & Albughdadi, A. (2015). Value engineering applications to improve value in residential projects. In 2015 CSCE Annual Conference, Regina, SK, Canada.
Abioye, S. O., Oyedele, L. O., Akanbi, L., Ajayi, A., Delgado, J. M. D., Bilal, M., Akinade, O. O., & Ahmed, A. (2021). Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges. Journal of Building Engineering, 44, Article 103299. https://doi.org/10.1016/j.jobe.2021.103299
Aghimien, D. O., Oke, A. E., & Aigbavboa, C. O. (2018). Barriers to the adoption of value management in developing countries. Engineering, Construction and Architectural Management, 25(7), 818–834. https://doi.org/10.1108/ECAM-04-2017-0070
Aghimien, D., Aigbavboa, C., Oke, A., Thwala, W., & Moripe, P. (2022). Digitalization of construction organisations: A case for digital partnering. International Journal of Construction Management, 22(10), 1950–1959. https://doi.org/10.1080/15623599.2020.1745134
Al-Fadhali, N. (2024). An AMOS-SEM approach to evaluating stakeholders’ influence on construction project delivery performance. Engineering, Construction and Architectural Management, 31(2), 638–661. https://doi.org/10.1108/ECAM-09-2021-0780
Alsolami, B. M. (2022). Identifying and assessing critical success factors of value management implementation in Saudi Arabia building construction industry. Ain Shams Engineering Journal, 13(6), Article 101804. https://doi.org/10.1016/j.asej.2022.101804
Arefazar, Y., Nazari, A., Hafezi, M. R., & Maghool, S. A. H. (2022). Prioritizing agile project management strategies as a change management tool in construction projects. International Journal of Construction Management, 22(4), 678–689. https://doi.org/10.1080/15623599.2019.1644757
Askar, R., Bragança, L., & Gervásio, H. (2021). Adaptability of buildings: A critical review on the concept evolution. Applied Sciences, 11(10), Article 4483. https://doi.org/10.3390/app11104483
Ayodele, O. A., Chang-Richards, A., & González, V. (2020). Factors affecting workforce turnover in the construction sector: A systematic review. Journal of Construction Engineering and Management, 146(2), Article 03119010. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001741
Bahadorestani, A., Naderpajouh, N., & Sadiq, R. (2020). Planning for sustainable stakeholder engagement based on the assessment of conflicting interests in projects. Journal of Cleaner Production, 242, Article 118402. https://doi.org/10.1016/j.jclepro.2019.118402
Bakhshi, J., Golzad, H., Martek, I., Hosseini, M. R., & Papadonikolaki, E. (2025). Unveiling the complexity code: Navigating BIM-enabled projects with a project management complexity index. Engineering, Construction and Architectural Management, 32(11), 7703–7732. https://doi.org/10.1108/ECAM-07-2023-0702
Basbagill, J., Flager, F., Lepech, M., & Fischer, M. (2013). Application of life-cycle assessment to early stage building design for reduced embodied environmental impacts. Building and Environment, 60, 81–92. https://doi.org/10.1016/j.buildenv.2012.11.009
Bijivemula, S. K. R., Sai, S. J., & Chepuri, A. (2024). A structural equation model of stakeholder roles in the implementation of green construction strategies in the Indian construction industry. International Journal of Construction Management, 24(5), 486–494. https://doi.org/10.1080/15623599.2023.2179568
Bohari, A. A. M., Skitmore, M., Xia, B., Teo, M., & Khalil, N. (2020). Key stakeholder values in encouraging green orientation of construction procurement. Journal of Cleaner Production, 270, Article 122246. https://doi.org/10.1016/j.jclepro.2020.122246
Boock, M. H., & Chau, M. (2007). The use of value engineering in the evaluation and selection of digitization projects. Evidence Based Library and Information Practice, 2(3), 76–86. https://doi.org/10.18438/B8HG6H
Brown, T. A. (2015). Confirmatory factor analysis for applied research. Guilford Publications.
Bujang, M. A., Omar, E. D., & Baharum, N. A. (2018). A review on sample size determination for Cronbach’s alpha test: A simple guide for researchers. The Malaysian Journal of Medical Sciences, 25(6), 85–99. https://doi.org/10.21315/mjms2018.25.6.9
Byrne, B. M. (2013). Structural equation modeling with Mplus: Basic concepts, applications, and programming. Routledge. https://doi.org/10.4324/9780203807644
Cariaga, I., El-Diraby, T., & Osman, H. (2007). Integrating value analysis and quality function deployment for evaluating design alternatives. Journal of Construction Engineering and Management, 133(10), 761–770. https://doi.org/10.1061/(ASCE)0733-9364(2007)133:10(761)
Cha, H. S., & O’Connor, J. T. (2005). Optimizing implementation of value management processes for capital projects. Journal of Construction Engineering and Management, 131(2), 239–251. https://doi.org/10.1061/(ASCE)0733-9364(2005)131:2(239)
Chandrasegaran, S. K., Ramani, K., Sriram, R. D., Horváth, I., Bernard, A., Harik, R. F., & Gao, W. (2013). The evolution, challenges, and future of knowledge representation in product design systems. Computer-Aided Design, 45(2), 204–228. https://doi.org/10.1016/j.cad.2012.08.006
Chen, H. L. (2014). Improving forecasting accuracy of project earned value metrics: Linear modeling approach. Journal of Management in Engineering, 30(2), 135–145. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000201
Chen, W. T., Chang, P.-Y., & Huang, Y.-H. (2010). Assessing the overall performance of value engineering workshops for construction projects. International Journal of Project Management, 28(5), 514–527. https://doi.org/10.1016/j.ijproman.2009.09.006
Chen, W. T., & Liao, S. L. (2010). A job-plan based performance evaluation for construction value engineering study. Journal of the Chinese Institute of Engineers, 33(2), 317–333. https://doi.org/10.1080/02533839.2010.9671617
Chen, W. T., Merrett, H. C., Liu, S.-S., Fauzia, N., & Liem, F. N. (2022). A decade of value engineering in construction projects. Advances in Civil Engineering, 2022, Article 324277. https://doi.org/10.1155/2022/2324277
Chen, Z., Agapiou, A., & Li, H. (2020). A benefits prioritization analysis on adopting BIM systems against major challenges in megaproject delivery. Frontiers in Built Environment, 6, Article 26. https://doi.org/10.3389/fbuil.2020.00026
Chia, F. C., Skitmore, M., Runeson, G., & Bridge, A. (2012). An analysis of construction productivity in Malaysia. Construction Management and Economics, 30(12), 1055–1069. https://doi.org/10.1080/01446193.2012.717706
Chou, J.-R. (2014). An ideation method for generating new product ideas using TRIZ, concept mapping, and fuzzy linguistic evaluation techniques. Advanced Engineering Informatics, 28(4), 441–454. https://doi.org/10.1016/j.aei.2014.07.001
Ciardiello, A., Rosso, F., Dell’Olmo, J., Ciancio, V., Ferrero, M., & Salata, F. (2020). Multi-objective approach to the optimization of shape and envelope in building energy design. Applied Energy, 280, Article 115984. https://doi.org/10.1016/j.apenergy.2020.115984
Dahooie, J. H., Dehshiri, S. J. H., Banaitis, A., & Binkytė-Vėlienė, A. (2020). Identifying and prioritizing cost reduction solutions in the supply chain by integrating value engineering and gray multi-criteria decision-making. Technological and Economic Development of Economy, 26(6), 1311–1338. https://doi.org/10.3846/tede.2020.13534
de Paula Ferreira, W., Armellini, F., de Santa-Eulalia, L. A., & Thomasset-Laperrière, V. (2022). Extending the lean value stream mapping to the context of Industry 4.0: An agent-based technology approach. Journal of Manufacturing Systems, 62, 703–717. https://doi.org/10.1016/j.jmsy.2022.02.004
Dehdasht, G., Ferwati, M. S., Abidin, N. Z., & Oyedeji, M. O. (2022). 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
Dwaikat, L. N., & Ali, K. N. (2018). Green buildings life cycle cost analysis and life cycle budget development: Practical applications. Journal of Building Engineering, 18, 303–311. https://doi.org/10.1016/j.jobe.2018.03.015
El Mokhtari, K., Panushev, I., & McArthur, J. (2022). Development of a cognitive digital twin for building management and operations. Frontiers in Built Environment, 8, Article 856873. https://doi.org/10.3389/fbuil.2022.856873
Elhegazy, H. (2022). State-of-the-art review on benefits of applying value engineering for multi-story buildings. Intelligent Buildings International, 14(5), 544–563. https://doi.org/10.1080/17508975.2020.1806019
Ellis, R. C., Wood, G. D., & Keel, D. A. (2005). Value management practices of leading UK cost consultants. Construction Management and Economics, 23(5), 483–493. https://doi.org/10.1080/01446190500040711
Elmousalami, H. H. (2020). Artificial intelligence and parametric construction cost estimate modeling: State-of-the-art review. Journal of Construction Engineering and Management, 146(1), Article 03119008. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001723
Fateh, M. A. M., & Aziz, A. A. A. (2021). The cost profile of building information modelling implementation in Malaysia. Malaysian Construction Research Journal, 14(3), 109–124.
Faten Albtoush, A., Doh, S., Abdul Rahman, A. R. B., & Albtoush, J. F. A. A. (2020). Factors affecting cost management in construction projects. International Journal of Civil Engineering and Technology, 11(1), 105–111. https://doi.org/10.34218/IJCIET.11.1.2020.011
Fathoni, U., Zakaria, C., & Rohayu, C. (2013). Value engineering awareness study for sustainable construction in Malaysia. IOP Conference Series: Earth and Environmental Science, 16, Article 012018. https://doi.org/10.1088/1755-1315/16/1/012018
Gamil, Y., & Abd Rahman, I. (2023). Studying the relationship between causes and effects of poor communication in construction projects using PLS-SEM approach. Journal of Facilities Management, 21(1), 102–148. https://doi.org/10.1108/JFM-04-2021-0039
Gill, S. S., Tuli, S., Xu, M., Singh, I., Singh, K. V., Lindsay, D., Tuli, S., Smirnova, D., Singh, M., & Jain, U. (2019). Transformative effects of IoT, blockchain and artificial intelligence on cloud computing: Evolution, vision, trends and open challenges. Internet of Things, 8, Article 100118. https://doi.org/10.1016/j.iot.2019.100118
Gonçalves, G., Wanke, P., & Tan, Y. (2022). A higher order portfolio optimization model incorporating information entropy. Intelligent Systems with Applications, 15, Article 200101. https://doi.org/10.1016/j.iswa.2022.200101
Green, S. D. (1994). Beyond value engineering: SMART value management for building projects. International Journal of Project Management, 12(1), 49–56. https://doi.org/10.1016/0263-7863(94)90008-6
Guad, R. M., Mangantig, E., Low, W. Y., Taylor-Robinson, A. W., Azzani, M., Sekaran, S. D., Sim, M. S., & Azizan, N. (2021). Development and validation of a structured survey questionnaire on knowledge, attitude, preventive practice, and treatment-seeking behaviour regarding dengue among the resident population of Sabah, Malaysia: An exploratory factor analysis. BMC Infectious Diseases, 21(1), Article 893. https://doi.org/10.1186/s12879-021-06606-6
Guest, G., Bunce, A., & Johnson, L. (2006). How many interviews are enough? An experiment with data saturation and variability. Field Methods, 18(1), 59–82. https://doi.org/10.1177/1525822X05279903
Gunarathne, A., Zainudeen, N., Perera, C., & Perera, B. (2022). A framework of an integrated sustainability and value engineering concept for construction projects. International Journal of Construction Management, 22(11), 2178–2190. https://doi.org/10.1080/15623599.2020.1768624
Han, B., & Leite, F. (2021). Measuring the impact of immersive virtual reality on construction design review applications: Head-mounted display versus desktop monitor. Journal of Construction Engineering and Management, 147(6), Article 04021042. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002044
Hautala, K., Järvenpää, M. E., & Pulkkinen, P. (2017). Digitalization transforms the construction sector throughout asset’s life cycle from design to operation and maintenance. Stahlbau, 86(4), 340–345. https://doi.org/10.1002/stab.201710468
Hiraoka, T., Neubig, G., Sakti, S., Toda, T., & Nakamura, S. (2016). Construction and analysis of a persuasive dialogue corpus. In A. Rudnicky, A. Raux, I. Lane, & T. Misu (Eds.), Situated dialog in speech-based human-computer interaction. Signals and communication technology (pp. 125–138). Springer, Cham. https://doi.org/10.1007/978-3-319-21834-2_12
Howard, M. C. (2016). A review of exploratory factor analysis decisions and overview of current practices: What we are doing and how can we improve? International Journal of Human-Computer Interaction, 32(1), 51–62. https://doi.org/10.1080/10447318.2015.1087664
Hua, Z., Yang, J., Coulibaly, S., & Zhang, B. (2006). Integration of TRIZ with problem-solving tools: A literature review from 1995 to 2006. International Journal of Business Innovation and Research, 1(1–2), 111–128. https://doi.org/10.1504/IJBIR.2006.011091
Hwang, B.-G., Zhao, X., & Ong, S. Y. (2015). Value management in Singaporean building projects: Implementation status, critical success factors, and risk factors. Journal of Management in Engineering, 31(6), Article 04014094. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000320
Ibusuki, U., & Kaminski, P. C. (2007). Product development process with focus on value engineering and target-costing: A case study in an automotive company. International Journal of Production Economics, 105(2), 459–474. https://doi.org/10.1016/j.ijpe.2005.08.009
Irawan, D., Sadalia, I., & Muda, I. (2023). Earned value analysis method as a cost and time performance analysis (Case study: Lau Simeme Dam construction project KSO between PT. Wijaya Karya Persero Tbk and PT. Bumi Karsa). International Journal of Educational Review, Law and Social Sciences, 3(2), 676–690.
Isa, S. (2023). Impact of construction professionals’ behavioural intention on building information modeling (BIM) adoption in Abuja, Nigeria [Postgraduate thesis]. Federal University of Technology, Minna.
Israel, G. D. (1992) Determining sample size. University of Florida Cooperative Extension Service, Institute of Food and Agriculture Sciences, EDIS, Florida, USA.
Jaapar, A., Endut, I. R., Bari, N. A. A., & Takim, R. (2009). The impact of value management implementation in Malaysia. Journal of Sustainable Development, 2(2), 210–219. https://doi.org/10.5539/jsd.v2n2p210
JaiSai, T., Kore, S. D., & Shashank, B. (2024). Application of value engineering during the execution stage of a construction project. Industrial Engineering Journal, 53(2), 68–76.
Jato-Espino, D., Castillo-Lopez, E., Rodriguez-Hernandez, J., & Canteras-Jordana, J. C. (2014). A review of application of multi-criteria decision-making methods in construction. Automation in Construction, 45, 151–162. https://doi.org/10.1016/j.autcon.2014.05.013
Jiya, V. H., Ogunleye, E., Onuzulike, C., Akande, E. O., & Tiza, M. T. (2023). Value management in the Nigerian construction industry: Challenges and prospects. Journal of Management Studies and Development, 2(2), 88–116. https://doi.org/10.56741/jmsd.v2i02.297
Jones, K., Stegemann, J., Sykes, J., & Winslow, P. (2016). Adoption of unconventional approaches in construction: The case of cross-laminated timber. Construction and Building Materials, 125, 690–702. https://doi.org/10.1016/j.conbuildmat.2016.08.088
Kabaca, K., & Yalnız, C. (2021). BIM-based value engineering: Creating a plug-in system for time saving and quantity management. In O. Ö. Özener, S. Ofluoglu, & U. Isikdag (Eds.), Advances in building information modeling. EBF 2021. Communications in computer and information science (Vol. 1627, pp. 33–52). Springer, Cham. https://doi.org/10.1007/978-3-031-16895-6_3
Kamat, V. R., Martinez, J. C., Fischer, M., Golparvar-Fard, M., Peña-Mora, F., & Savarese, S. (2011). Research in visualization techniques for field construction. Journal of Construction Engineering and Management, 137(10), 853–862. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000289
Kanapeckiene, L., Kaklauskas, A., Zavadskas, E. K., & Raslanas, S. (2011). Method and system for multi-attribute market value assessment in analysis of construction and retrofit projects. Expert Systems with Applications, 38(11), 14196–14207. https://doi.org/10.1016/j.eswa.2011.04.232
Karunasena, G., & Rajagalgoda Gamage, K. (2017). A decision-making formula for value engineering applications in the Sri Lankan construction industry. Journal of Financial Management of Property and Construction, 22(1), 77–91. https://doi.org/10.1108/JFMPC-06-2016-0026
Keeney, R. L. (2004). Stimulating creative design alternatives using customer values. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 34(4), 450–459. https://doi.org/10.1109/TSMCC.2004.829255
Kennedy, I. (2022). Sample size determination in test-retest and Cronbach alpha reliability estimates. British Journal of Contemporary Education, 2(1), 17–29. https://doi.org/10.52589/BJCE-FY266HK9
Kim, B.-C., & Reinschmidt, K. F. (2011). Combination of project cost forecasts in earned value management. Journal of Construction Engineering and Management, 137(11), 958–966. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000368
Kim, D. Y., Menches, C. L., & O’Connor, J. T. (2015). Stringing construction planning and execution tasks together for effective project management. Journal of Management in Engineering, 31(3), Article 04014042. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000247
Kineber, A. F., Othman, I., Oke, A. E., Chileshe, N., & Buniya, M. K. (2020). Identifying and assessing sustainable value management implementation activities in developing countries: The case of Egypt. Sustainability, 12(21), Article 9143. https://doi.org/10.3390/su12219143
Kineber, A. F., Othman, I., Oke, A. E., Chileshe, N., & Buniya, M. K. (2021a). Impact of value management on building projects success: Structural equation modeling approach. Journal of Construction Engineering and Management, 147(4), Article 04021011. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002001
Kineber, A. F., Othman, I., Oke, A. E., Chileshe, N., & Zayed, T. (2021b). Exploring the value management critical success factors for sustainable residential building: A structural equation modelling approach. Journal of Cleaner Production, 293, Article 126115. https://doi.org/10.1016/j.jclepro.2021.126115
Kineber, A. F., Siddharth, S., Chileshe, N., Alsolami, B., & Hamed, M. M. (2022). Addressing value management implementation barriers within the Indian construction industry: A PLS-SEM approach. Sustainability, 14(24), Article 16602. https://doi.org/10.3390/su142416602
Kineber, A. F., Massoud, M. M., Hamed, M. M., Alhammadi, Y., & Al-Mhdawi, M. (2023). Impact of overcoming BIM implementation barriers on sustainable building project success: A PLS-SEM approach. Buildings, 13(1), Article 178. https://doi.org/10.3390/buildings13010178
Kineber, A. F., Ali, A. H., Elshaboury, N., Oke, A. E., & Arashpour, M. (2024). A multi-criteria evaluation and stationary analysis of value management implementation barriers for sustainable residential building projects. International Journal of Construction Management, 24(2), 199–212. https://doi.org/10.1080/15623599.2023.2267870
Kor, M., Yitmen, I., & Alizadehsalehi, S. (2023). An investigation for integration of deep learning and digital twins towards Construction 4.0. Smart and Sustainable Built Environment, 12(3), 461–487. https://doi.org/10.1108/SASBE-04-2021-0066
Langseth, I., Jacobsen, D. Y., & Haugsbakken, H. (2023). The role of support units in digital transformation: How institutional entrepreneurs build capacity for online learning in higher education. Technology, Knowledge and Learning, 28(4), 1745–1782. https://doi.org/10.1007/s10758-022-09620-y
Laurent, J., & Leicht, R. M. (2019). Practices for designing cross-functional teams for integrated project delivery. Journal of Construction Engineering and Management, 145(3), Article 05019001. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001619
Lesia, M. P., Aigbavboa, C. O., & Thwala, W. D. (2024). Factors influencing residential location choice in South Africa: Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Journal of Housing and the Built Environment, 39(1), 133–160. https://doi.org/10.1007/s10901-023-10070-w
Levitt, R. E. (2007). CEM research for the next 50 years: Maximizing economic, environmental, and societal value of the built environment. Journal of Construction Engineering and Management, 133(9), 619–628. https://doi.org/10.1061/(ASCE)0733-9364(2007)133:9(619)
Li, X., Deng, B., Yin, Y., & Jia, Y. (2022). Critical obstacles in the implementation of value management of construction projects. Buildings, 12(5), Article 680. https://doi.org/10.3390/buildings12050680
Lin, X., Mazlan, A. N., & Ismail, S. (2022). Barriers to the implementation of value management in small construction projects. Journal of Building Engineering, 54, Article 104639. https://doi.org/10.1016/j.jobe.2022.104639
Lucas, J. (2020). Rapid development of virtual reality-based construction sequence simulations: A case study. Journal of Information Technology in Construction, 25, 229–246. https://doi.org/10.36680/j.itcon.2020.004
Ma, T., & Tam, K. (2013). Is value management achieving value for money without compromising the quality requirements? Journal of Civil Engineering and Architecture, 7(10), 1221–1231. https://doi.org/10.17265/1934-7359/2013.10.001
Madushika, W., Perera, B., Ekanayake, B., & Shen, G. (2020). Key performance indicators of value management in the Sri Lankan construction industry. International Journal of Construction Management, 20(2), 157–168. https://doi.org/10.1080/15623599.2018.1484556
Markus, L. M. (2001). Toward a theory of knowledge reuse: Types of knowledge reuse situations and factors in reuse success. Journal of Management Information Systems, 18(1), 57–93. https://doi.org/10.1080/07421222.2001.11045671
Mason, M. (2010). Sample size and saturation in PhD studies using qualitative interviews. Forum Qualitative Sozialforschung Forum: Qualitative Social Research, 11(3), Article 8.
Masyhur, R. T., Alias, A. H., Haron, N. A., & Zulkafli, Z. (2024). A systematic review on green practices in the Malaysian construction industry: Status, challenges, key motivations, rating systems and technology evolution. Energy and Buildings, 320, Article 114550. https://doi.org/10.1016/j.enbuild.2024.114550
Meena, C. S., Kumar, A., Jain, S., Rehman, A. U., Mishra, S., Sharma, N. K., Bajaj, M., Shafiq, M., & Eldin, E. T. (2022). Innovation in green building sector for sustainable future. Energies, 15(18), Article 6631. https://doi.org/10.3390/en15186631
Memon, A. H., & Rahman, I. A. (2013). Analysis of cost overrun factors for small scale construction projects in Malaysia using PLS-SEM method. Modern Applied Science, 7(8), 78–88. https://doi.org/10.5539/mas.v7n8p78
Mihai, S., Yaqoob, M., Hung, D. V., Davis, W., Towakel, P., Raza, M., Karamanoglu, M., Barn, B., Shetve, D., & Prasad, R. V. (2022). Digital twins: A survey on enabling technologies, challenges, trends and future prospects. IEEE Communications Surveys & Tutorials, 24(4), 2255–2291. https://doi.org/10.1109/COMST.2022.3208773
Miles, L. D. (2015). Techniques of value analysis and engineering (3rd ed.). Miles Value Foundation.
Moon, S., Choi, E., & Hong, S. (2016). Creation of robust design alternatives for temporary construction in value engineering. Journal of Construction Engineering and Management, 142(3), Article 04015086. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001068
Moshood, T. D., Adeleke, A. Q., Nawanir, G., Ajibike, W. A., & Shittu, R. A. (2020). Emerging challenges and sustainability of Industry 4.0 era in the Malaysian construction industry. IOP Conference Series: Materials Science and Engineering, 713(1), Article 012041. https://doi.org/10.1088/1757-899X/713/1/012041
Naderpajouh, N., & Afshar, A. (2008). A case-based reasoning approach to application of value engineering methodology in the construction industry. Construction Management and Economics, 26(4), 363–372. https://doi.org/10.1080/01446190801905398
Newell, R. G., Pizer, W. A., & Prest, B. C. (2024). The shadow price of capital: Accounting for capital displacement in benefit–cost analysis. Environmental and Energy Policy and the Economy, 5, 49–69. https://doi.org/10.1086/727878
Nikitenko, V. (2019). The impact of digitalization on value orientations changes in the modern digital society. Humanities Studies, 2(79), 80–94. https://doi.org/10.26661/hst-2019-2-79-06
Nikmehr, B., Hosseini, M. R., Martek, I., Zavadskas, E. K., & Antucheviciene, J. (2021). Digitalization as a strategic means of achieving sustainable efficiencies in construction management: A critical review. Sustainability, 13(9), Article 5040. https://doi.org/10.3390/su13095040
Ogrodnik, K. (2019). Multi-criteria analysis of design solutions in architecture and engineering: Review of applications and a case study. Buildings, 9(12), Article 244. https://doi.org/10.3390/buildings9120244
Oke, A. E., Aliu, J., Fadamiro, P. O., Akanni, P. O., & Stephen, S. S. (2023). Attaining digital transformation in construction: An appraisal of the awareness and usage of automation techniques. Journal of Building Engineering, 67, Article 105968. https://doi.org/10.1016/j.jobe.2023.105968
Olanrewaju, O. I., Kineber, A. F., Chileshe, N., & Edwards, D. J. (2022). Modelling the relationship between Building Information Modelling (BIM) implementation barriers, usage and awareness on building project lifecycle. Building and Environment, 207, Article 108556. https://doi.org/10.1016/j.buildenv.2021.108556
Olatunji, S. O., Olawumi, T. O., & Awodele, O. A. (2017). Achieving value for money (VFM) in construction projects. Journal of Civil and Environmental Research, 9(2), 12–20.
Olawumi, T. O., Akinrata, E. B., & Arijeloye, B. T. (2016). Value management – Creating functional value for construction project: An exploratory study. World Scientific News, 54, 40–59.
Olopade, J., & Franz, B. (2018). Success factors for cross-functional teams in the construction industry: A literature review. In Proceedings of the 16th Engineering Project Organization Conference (EPOC) (pp. 512–529), Brijuni, Croatia.
Othman, I., Ghani, S. N. M., & Choon, S. W. (2020). The total quality management (TQM) journey of Malaysian building contractors. Ain Shams Engineering Journal, 11(3), 697–704. https://doi.org/10.1016/j.asej.2019.11.002
Pan, Y., & Zhang, L. (2021). Roles of artificial intelligence in construction engineering and management: A critical review and future trends. Automation in Construction, 122, Article 103517. https://doi.org/10.1016/j.autcon.2020.103517
Parsamehr, M., Perera, U. S., Dodanwala, T. C., Perera, P., & Ruparathna, R. (2023). A review of construction management challenges and BIM-based solutions: Perspectives from the schedule, cost, quality, and safety management. Asian Journal of Civil Engineering, 24(1), 353–389. https://doi.org/10.1007/s42107-022-00501-4
Perera, S., Davis, S., & Marosszeky, M. (2011). Head contractor role in construction value-based management: Australian building industry experience. Journal of Financial Management of Property and Construction, 16(1), 31–41. https://doi.org/10.1108/13664381111116061
Pernites, R., Montgomery, M., Fu, D., & Padilla, F. (2020). Reducing well construction costs through field application of new unconventional lightweight cementing solutions—Multiple case histories in the Permian Basin. In SPE/AAPG/SEG Unconventional Resources Technology Conference (Article URTEC-2020-2995-MS). https://doi.org/10.15530/urtec-2020-2995
Prebanić, K. R., & Vukomanović, M. (2021). Realizing the need for digital transformation of stakeholder management: A systematic review in the construction industry. Sustainability, 13(22), Article 12690. https://doi.org/10.3390/su132212690
Rad, K. M., & Yamini, O. A. (2016). The methodology of using value engineering in construction projects management. Civil Engineering Journal, 2(6), 262–269. https://doi.org/10.28991/cej-0309147
Raouf, A. M., & Al-Ghamdi, S. G. (2023). Framework to evaluate quality performance of green building delivery: Construction and operational stage. International Journal of Construction Management, 23(2), 253–267. https://doi.org/10.1080/15623599.2020.1858539
Rauf, U. A. A., Jabar, J., & Mansor, N. (2020). An exploratory factor analysis for measuring knowledge management component construct in Malaysian public higher education. PalArch’s Journal of Archaeology of Egypt / Egyptology, 17(7), 4523–4534.
Robati, M., Oldfield, P., Nezhad, A. A., Carmichael, D. G., & Kuru, A. (2021). Carbon value engineering: A framework for integrating embodied carbon and cost reduction strategies in building design. Building and Environment, 192, Article 107620. https://doi.org/10.1016/j.buildenv.2021.107620
Rosłon, J. (2022). Materials and technology selection for construction projects supported with the use of artificial intelligence. Materials, 15(4), Article 1282. https://doi.org/10.3390/ma15041282
Sage, A. P., & Lynch, C. L. (1998). Systems integration and architecting: An overview of principles, practices, and perspectives. Systems Engineering, 1(3), 176–227. https://doi.org/10.1002/(SICI)1520-6858(1998)1:3<176::AID-SYS3>3.0.CO;2-L
Sanatgar Baboldashti, A., & Nik-Bakht, M. (2024). Taxonomy for change management processes in construction projects. In Construction Research Congress 2024, Des Moines, Iowa, USA. https://doi.org/10.1061/9780784485262.032
Sarbini, N., Aziz, A. A., Mazlan, A., Lim, N. A. S., & Ab Rahman, M. F. (2021). Key design issues in the construction project: Conceptual and detailed design review phases. IOP Conference Series: Materials Science and Engineering, 1200, Article 012028. https://doi.org/10.1088/1757-899X/1200/1/012028
Scott, J. A., & Halkias, D. (2016). Consensus processes fostering relational trust among stakeholder leaders in a middle school: A multi-case study. International Leadership Journal, 8(3), 54–82.
Sezer, A. A., Thunberg, M., & Wernicke, B. (2021). Digitalization index: Developing a model for assessing the degree of digitalization of construction projects. Journal of Construction Engineering and Management, 147(10), Article 04021119. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002145
Shahzad, M., Shafiq, M. T., Douglas, D., & Kassem, M. (2022). Digital twins in built environments: An investigation of the characteristics, applications, and challenges. Buildings, 12(2), Article 120. https://doi.org/10.3390/buildings12020120
Shek, D. T., & Yu, L. (2014). Confirmatory factor analysis using AMOS: A demonstration. International Journal on Disability and Human Development, 13(2), 191–204. https://doi.org/10.1515/ijdhd-2014-0305
Shi, Q., & Xie, X. (2009). A fuzzy-QFD approach to the assessment of green construction alternatives based on value engineering. In 2009 International Conference on Management and Service Science, Beijing, China. IEEE. https://doi.org/10.1109/ICMSS.2009.5302692
Skorobogatova, Y., Bovkun, A., Ivanov, M. Y., & Shilova, O. (2020). The role and place of small innovative enterprises in the construction industry in the modern economy of single-industry towns. IOP Conference Series: Materials Science and Engineering, 880, Article 012103. https://doi.org/10.1088/1757-899X/880/1/012103
Song, Y., & Chua, D. K. (2006). Modeling of functional construction requirements for constructability analysis. Journal of Construction Engineering and Management, 132(12), 1314–1326. https://doi.org/10.1061/(ASCE)0733-9364(2006)132:12(1314)
Spaulding, W. M., Bridge, A., & Skitmore, M. (2005). The use of function analysis as the basis of value management in the Australian construction industry. Construction Management and Economics, 23(7), 723–731. https://doi.org/10.1080/01446190500040679
Stocks, S. N., & Singh, A. (1999). Studies on the impact of functional analysis concept design on reduction in change orders. Construction Management & Economics, 17(3), 251–267. https://doi.org/10.1080/014461999371475
Taher, A. H., & Elbeltagi, E. E. (2023). Integrating building information modeling with value engineering to facilitate the selection of building design alternatives considering sustainability. International Journal of Construction Management, 23(11), 1886–1901.
Taher, K. A.-G. H. (1991). ValuExpert: A knowledge-based system for value engineering in building design. University of Colorado at Boulder.
Tan, Y. H., & Latiffi, A. A. (2024). Improvement of cost overrun issues with building information modeling (BIM): A case study of the Malaysian construction industry. Research in Management of Technology and Business, 5(2), 732–748.
Tang, P., & Bittner, R. B. (2014). Use of value engineering to develop creative design solutions for marine construction projects. Practice Periodical on Structural Design and Construction, 19(1), 129–136. https://doi.org/10.1061/(ASCE)SC.1943-5576.0000184
Tang, D., & Liu, K. (2022). Exploring the application of BIM technology in the whole process of construction cost management with computational intelligence. Computational Intelligence and Neuroscience, 2022, Article 4080879. https://doi.org/10.1155/2022/4080879
Tanko, B. L., Abdullah, F., Mohamad Ramly, Z., & Enegbuma, W. I. (2018). An implementation framework of value management in the Nigerian construction industry. Built Environment Project and Asset Management, 8(3), 305–319. https://doi.org/10.1108/BEPAM-09-2017-0078
Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, Article 53. https://doi.org/10.5116/ijme.4dfb.8dfd
Teng, J., Tang, D.-H., Zhang, X., Hu, W.-H., Said, S., & Rohrmann, R. G. (2019). Automated modal analysis for tracking structural change during construction and operation phases. Sensors, 19(4), Article 927. https://doi.org/10.3390/s19040927
Thao, N. T. P., Van Tan, N., & Tuyet, M. T. A. (2022). KMO and Bartlett’s test for components of workers’ working motivation and loyalty at enterprises in Dong Nai Province of Vietnam. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 13(10), Article 13A10M.
Thyssen, M. H., Emmitt, S., Bonke, S., & Kirk-Christoffersen, A. (2010). Facilitating client value creation in the conceptual design phase of construction projects: A workshop approach. Architectural Engineering and Design Management, 6(1), 18–30. https://doi.org/10.3763/aedm.2008.0095
Trani, M. L., Cassano, M., Todaro, D., & Bossi, B. (2015). BIM level of detail for construction site design. Procedia Engineering, 123, 581–589. https://doi.org/10.1016/j.proeng.2015.10.111
Valle, J. A., & Soares, C. A. P. (2006). The use of earned value analysis (EVA) in the cost management of construction projects. In PMI® Global Congress 2006—EMEA, Madrid, Spain. Project Management Institute, Newtown Square, PA.
Van Nguyen, T., Pham, H. T., Ha, H. M., & Tran, T. T. T. (2024). An integrated model of supply chain quality management, Industry 3.5 and innovation to improve manufacturers’ performance – a case study of Vietnam. International Journal of Logistics Research and Applications, 27(2), 261–283. https://doi.org/10.1080/13675567.2022.2059457
Vemuri, N., Thaneeru, N., & Tatikonda, V. M. (2024). Cloud-based virtual reality (VR) in education. International Journal of Research, Publication and Review, 5, 2300–2309. https://doi.org/10.55248/gengpi.5.0224.0543
Vornichesku, O., Shatrova, I., Tytok, V., Emelianova, O., & Demydova, O. (2023). Methods of effective value-oriented management of construction projects: A new approach. ISVS e-journal, 10(9), 369–384. https://doi.org/10.61275/ISVSej-2023-10-09-26
Waris, M., Khamidi, M. F., & Idrus, A. (2012). The cost monitoring of construction projects through earned value analysis. Journal of Construction Engineering and Project Management, 2(4), 42–45. https://doi.org/10.6106/JCEPM.2012.2.4.042
Xue, J., Shen, G. Q., Yang, R. J., Wu, H., Li, X., Lin, X., & Xue, F. (2020). Mapping the knowledge domain of stakeholder perspective studies in construction projects: A bibliometric approach. International Journal of Project Management, 38(6), 313–326. https://doi.org/10.1016/j.ijproman.2020.07.007
Yang, J., Baeg, H., & Moon, S. (2014). Utilization of contradiction for creating design alternatives in construction value engineering. KSCE Journal of Civil Engineering, 18, 355–364. https://doi.org/10.1007/s12205-014-0284-x
Yong, A. G., & Pearce, S. (2013). A beginner’s guide to factor analysis: Focusing on exploratory factor analysis. Tutorials in Quantitative Methods for Psychology, 9(2), 79–94. https://doi.org/10.20982/tqmp.09.2.p079
Zhang, X., Mao, X., & AbouRizk, S. M. (2009). Developing a knowledge management system for improved value engineering practices in the construction industry. Automation in Construction, 18(6), 777–789. https://doi.org/10.1016/j.autcon.2009.03.004
Zhang, J., Xie, H., & Li, H. (2019). Improvement of students’ problem-solving skills through project execution planning in civil engineering and construction management education. Engineering, Construction and Architectural Management, 26(7), 1437–1454. https://doi.org/10.1108/ECAM-08-2018-0321
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