Computerized systems in the early-stage real estate development: a systematic literature review in the context of Construction 4.0
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Computerized systems in the early-stage real estate development: a systematic literature review in the context of Construction 4.0
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Main Article Content
Authors
Abstract
Understanding how digital technologies support decision-making throughout the lifecycle of civil engineering projects has become increasingly relevant in the context of Construction 4.0. However, existing studies have predominantly focused on construction execution, while the early stages of project development remain less explored. This study presents a systematic literature review aimed at identifying and structuring the digital technologies and computerised systems applied to the early-stage real estate development within civil engineering projects. The review followed the PRISMA protocol and analysed publications retrieved from major scientific databases. After the screening process, 50 studies published between 2016 and 2025 were selected for bibliometric and qualitative analysis. The results indicate a significant growth in research after 2020 and highlight the increasing role of technologies such as Building Information Modelling (BIM), big data analytics, machine learning, and digital twins in supporting market analysis, feasibility assessment, and early-stage decision-making. Despite these advances, the literature still reveals limited integration of digital systems across the project lifecycle. The study synthesises current knowledge on digital transformation in construction project development and identifies research gaps for future research.
Keywords:
Sustainable Development Goals (SDG)
- 9 - Industry, Innovation, Technology and Infrastructure
References
[1] Geltner D, Miller N, Clayton J, Eichholtz P., Commercial real estate analysis and investments. Cengage Learning, 2021.
[2] Ratcliffe J, Stubbs M, Keeping M., Urban planning and real estate development. Routledge, 2021.
[3] Reed R., Property Development. 7th ed. London, Routledge, 2021.
[4] Ogbenjuwa L., Real Estate Finance and Economics: A Guide to Securing Finance for Real Estate Project Development in Developed and Emerging Economies. Cham, Springer, 2023. https://doi.org/10.1007/978-3-031-21904-7
[5] Jones C., Urban Economy: Real Estate Economics and Public Policy. London, Routledge, 2022.
[6] Costa W.W.S., Incorporação imobiliária multifamiliar: Desafios e estratégias para um desenvolvimento sustentável [Multifamily real estate development: Challenges and strategies for sustainable development]. MSc thesis, Universidade Federal de Minas Gerais, 2024. Available from: https://repositorio.ufmg.br/handle/1843/78171
[7] Lucena F.V., Cavalcanti P.M., Diretrizes da viabilidade econômica da incorporação imobiliária [Guidelines for the economic feasibility of real estate development]. Undergraduate thesis, Universidade Federal de Pernambuco, 2012. Available from: https://repositorio.ufpe.br/handle/123456789/45582
[8] Miles M.E., Netherton L.M., Schmitz A., Real estate development: Principles and process. Washington, Urban Land Institute, 2015.
[9] Peiser R., Hamilton D., Professional real estate development: The ULI guide. Washington, Urban Land Institute, 2019.
[10] Fink L.R., Análise dos riscos envolvidos na incorporação imobiliária nos ambientes competitivo, normativo, cognitivo e valorativo [Analysis of risks involved in real estate development in competitive, normative, cognitive, and value-based environments]. Undergraduate thesis, Universidade Federal do Rio Grande do Sul, 2024. Available from: https://lume.ufrgs.br/handle/10183/274504
[11] Wiest N., Metodologia da incorporação imobiliária: Da intenção inicial de construção até a entrega do empreendimento [Methodology of real estate development: From initial construction intention to project delivery]. Undergraduate thesis, Universidade Federal de Santa Maria, 2023. Available from: https://repositorio.ufsm.br/handle/1/27876
[12] Cadman D., Topping R., Property Development. 6th ed. London, Routledge, 2019.
[13] Project Management Institute. A guide to the project management body of knowledge (PMBOK® guide). Newtown Square, Project Management Institute, 2021.
[14] Winch G.M., Managing construction projects. 2nd ed., Wiley-Blackwell, 2010.
[15] Caribé C., O fluxo da incorporação imobiliária: O segredo das grandes incorporadoras na palma da sua mão [The flow of real estate development: The secret of major developers in the palm of your hand]. e-book, Amazon, 2022.
[16] Gomes F.L., As causas do baixo investimento em tecnologias digitais e suas consequências para vantagem competitiva no setor de incorporação imobiliária do Brasil [Causes of low investment in digital technologies and their consequences for competitive advantage in the Brazilian real estate development sector]. Professional MSc thesis, Fundação Getúlio Vargas, 2019. Available from: https://hdl.handle.net/10438/27538
[17] Souza R., Sistema de gestão para empresas de incorporação imobiliária [Management system for real estate development companies]. O Nome da Rosa, 2004.
[18] Beber M., Scheer S., Gestão integrada do projeto para incorporação imobiliária [Integrated project management for real estate development]. In: Anais do Simpósio Brasileiro de Gestão e Economia da Construção, ANTAC, 2023, 1–13. https://doi.org/10.46421/sibragec.v13i00.2669
[19] Costello G., Preller F., Property development principles and process: An industry analysis, Pacific Rim Property Research Journal 16(2) (2010) 171–187. https://doi.org/10.1080/14445921.2010.11104300
[20] Kron C., Application of product development processes in the early phases of real estate development: A feasibility study. In: Proceedings of the 23rd Annual Conference of the International Group for Lean Construction, Perth, Australia, 2015. Available from: https://iglc.net/Papers/Details/1173
[21] Moorhead M., Armitage L., Skitmore M., Real Estate Development Feasibility and Hurdle Rate Selection. Buildings 14(4) (2024) 1045. https://doi.org/10.3390/buildings14041045
[22] Moorhead M., Armitage L., Skitmore M., Feasibility practices of types of property developers, Journal of Property Investment & Finance 41(1) (2022) 92–105. https://doi.org/10.1108/JPIF-03-2022-0022
[23] Ogunbayo O.T., Odebode A.A., Oyedele J.B., Ayodele O.T., The significance of real estate development process analysis to residential property investment appraisal in Abuja, Nigeria, International Journal of Construction Management 19(3) (2018) 270–279. https://doi.org/10.1080/15623599.2017.1423164
[24] Fisher J., Martin R., Income property valuation and analysis. Dearborn Real Estate Education, 2021.
[25] Sen D.J., Broad steps involved in private land acquisitions for real estate developments: A literature overview. GBS Impact 10(2) (2024) 326–342. https://doi.org/10.58419/gbs.v10i2.1022423
[26] Büyükkaraciğan N., New trends in real estate development projects. International Journal of Recent Research in Civil and Mechanical Engineering 10 (2023) 1–37. https://dx.doi.org/10.5281/zenodo.10269770
[27] Olsson N.O.E., Sørensen A.Ø., Leikvam G., On the need for iterative real estate project models – Applying agile methods in real estate developments. Procedia Economics and Finance 21 (2015) 524–531. https://doi.org/10.1016/S2212-5671(15)00208-7
[28] Shim H., Kim J., Determinants of the economic and financial feasibility of real estate development projects: a comparative analysis between public and private development projects in South Korea. Sustainability 14(4) (2022) 2135. https://doi.org/10.3390/su14042135
[29] Terblanche R., Root D.S., Consolidating the roles of financial feasibility studies: property developers vs quantity surveyors. Organization, Technology and Management in Construction: An International Journal 16(1) (2024) 136–149. https://doi.org/10.2478/otmcj-2024-0011
[30] Wooley J., Ciochetti B., Malizia E., Market feasibility and project performance. International Journal of Social Sciences Management and Entrepreneurship 8(3) (2024) 416–429. Available from: https://sagepublishers.com/index.php/ijssme/article/download/603/587
[31] Li J., Greenwood D., Kassem M., Blockchain in the built environment and construction industry: A systematic review, conceptual models and practical use cases. Automation in Construction 102 (2019) 288–307. https://doi.org/10.1016/j.autcon.2019.02.005
[32] Mazlum S.K., Sertyesilisik B., An Investigation into the Digital Construction Progress Monitoring Models. Periodica Polytechnica Civil Engineering 69(1) (2025) 333–346. https://doi.org/10.3311/PPci.38067
[33] Oesterreich T.D., Teuteberg F., 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 (2016) 121–139. https://doi.org/10.1016/j.compind.2016.09.006
[34] Vaardini U.S., Shanmugapriya S., Evaluating the effective factors of BIM for enhancing the construction interface management. Revista de la Construcción 23(2) (2024) 218–229. https://doi.org/10.7764/RDLC.23.2.218
[35] Aftab I., et al. Automating Scan to BIM Operations Using Grasshopper. Periodica Polytechnica Civil Engineering 67(4) (2023) 1187–1192. https://doi.org/10.3311/PPci.22390
[36] Naeem N., Rana I.A., Nasir A.R., Digital real estate: a review of the technologies and tools transforming the industry and society. Smart Construction and Sustainable Cities 1 (2023) 15. https://doi.org/10.1007/s44268-023-00016-0
[37] Çevik H., The role of digital applications in the real estate industry. Bilge International Journal of Science and Technology Research 9(1) (2025) 23–35. https://doi.org/10.30516/bilgesci.1653025
[38] Datta S.D., Rahman Sobuz M.H., Mim N.J., Nath A.D., Investigation on the effectiveness of using building information modeling tools in project management: A case study. Revista de la Construcción 22(2) (2023) 306–320. https://doi.org/10.7764/RDLC.22.2.306
[39] Forcael E., Ferrari I., Opazo-Vega A., Pulido-Arcas J.A., Construction 4.0: A literature review. Sustainability 12(22) (2020) 9755. https://doi.org/10.3390/su12229755
[40] Krajewska A., Sobieraj E., Building performance analysis of a digital twin based on paper documentation. Budownictwo i Architektura 24(1) (2025) 5–24. https://doi.org/10.35784/bud-arch.6039
[41] Sawhney A., Riley M., Irizarry J. (Eds.), Construction 4.0: An Innovation Platform for the Built Environment. Routledge, 2020. https://doi.org/10.1201/9780429398100
[42] Zawada K., Rybak‑Niedziółka K., Donderewicz M., Starzyk A., Digitization of AEC industries based on BIM and 4.0 technologies. Buildings 14(5) (2024) 1350. https://doi.org/10.3390/buildings14051350
[43] Souza A.S.C., Debs L., Identifying emerging technologies and skills required for Construction 4.0. Buildings 13(10) (2023) 2535. https://doi.org/10.3390/buildings13102535
[44] Borkowski A., Łuczkiewicz N., Landscape Information Model (LIM): a case study of Ołtarzew Park. Budownictwo i Architektura 22(2) (2023) 41–56. https://doi.org/10.35784/bud-arch.3547
[45] Santos F.C., Carvalho M.T.M., Brandstetter M.C.G.O., Tool for the integration of building performance information within the BIM process. Revista de la Construcción 21(3) (2022) 645–656. https://doi.org/10.7764/RDLC.21.3.645
[46] Boston Consulting Group. Industry 4.0: The future of productivity and growth in manufacturing industries. Boston, Boston Consulting Group, 2015. Available from: https://www.bcg.com
[47] Moura A., Romeira B., Indústria 5.0 – Uma indústria focada nas pessoas [Industry 5.0 – A people-focused industry]. In: Indústria 5.0: Pessoas, tecnologia e sustentabilidade, 2023, 35–50.
[48] Alsofiani M.A., Digitalization in infrastructure construction projects: A PRISMA-based review of benefits and obstacles [preprint]. arXiv, 2024. https://doi.org/10.48550/arXiv.2405.16875
[49] Begić H., Galić M., A systematic review of Construction 4.0 in the context of the BIM 4.0 premise. Buildings 11(8) (2021) 337. https://doi.org/10.3390/buildings11080337
[50] Maskuriy R., Selamat A., Maresova P., Krejcar O., David O.O., Industry 4.0 for the construction industry: Review of management perspective. Economies 7(3) (2019) 68. https://doi.org/10.3390/economies7030068
[51] Page M.J., McKenzie J.E., Bossuyt P.M., et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ 372 (2021) n71. https://doi.org/10.1136/bmj.n71
[52] Melo B., Pessoa L., Rameh I., Brandão S., Revisão sistemática de literatura (RSL): Um guia da teoria à prática [Systematic literature review (SLR): A guide from theory to practice]. Recife: Instituto Federal de Pernambuco, 2023.
[53] Hussain A.H., Alam M.R.A., Eni S., Che-Ani A., Roslan A.F., Assessing the organizations decision for digital transformation through BIM implementation in Malaysia. Malaysian Construction Research Journal 11 (2020) 16–33.
[54] Ben Mahmoud B., Lehoux N., Blanchet P., Cloutier C., Barriers, strategies, and best practices for BIM adoption in Quebec prefabrication small and medium-sized enterprises. Buildings 12(4) (2022) 390. https://doi.org/10.3390/buildings12040390
[55] Hall A.T., Durdyev S., Koc K., Ekmekcioglu O., Tupenaite L., Multi-criteria analysis of barriers to building information modeling adoption for SMEs in New Zealand construction industry. Engineering, Construction and Architectural Management 30(9) (2023) 3798–3816. https://doi.org/10.1108/ECAM-03-2022-0215
[56] Chen S.H., Xue F., Automatic BIM detailing using deep features of 3D views, Automation in Construction 148 (2023) 104780. https://doi.org/10.1016/j.autcon.2023.104780
[57] Funtík T., Makýš P., Ďubek M., Erdélyi J., Honti R., Cerovšek T., The status of building information modeling adoption in Slovakia, Buildings 13(12) (2023) 2997. https://doi.org/10.3390/buildings13122997
[58] Hosamo H.H., Rolfsen C.N., Zeka F., Sandbeck S., Said S., Sætre M.A., Navigating the adoption of 5D building information modeling: Insights from Norway, Infrastructures 9(4) (2024) 75. https://doi.org/10.3390/infrastructures9040075
[59] Sajjad M., Hu A., Radu D., Almujibah H.R., Mateen A., BIM implementation in project management practices for sustainable development: Partial least square approach, Ain Shams Engineering Journal 15(11) (2024) 103048. https://doi.org/10.1016/j.asej.2024.103048
[60] Mishra A., Hasan A., Jha K.N., A holistic evaluation of BIM implementation barriers in the Indian construction industry: Pre- and post-adoption perspectives. International Journal of Construction Education and Research 20(3) (2024) 358–380. https://doi.org/10.1080/15578771.2024.2320108
[61] Chen Y., Gacheri H.F., Sun G., Empirical investigation of building information modelling (BIM) staff’s impact on construction project performance: Evidence in Kenya, Frontiers in Built Environment 10 (2024) 1441604. https://doi.org/10.3389/fbuil.2024.1441604
[62] Pham T.Q.D., Le-Hong T., Tran X.V., Efficient estimation and optimization of building costs using machine learning, International Journal of Construction Management 23(5) (2023) 909–921. https://doi.org/10.1080/15623599.2021.1943630
[63] Kor M., Yitmen I., Alizadehsalehi S., An investigation for integration of deep learning and digital twins towards Construction 4.0, Smart and Sustainable Built Environment 12(3) (2023) 461–487. https://doi.org/10.1108/SASBE-08-2021-0148
[64] Almusaed A., Yitmen I., Architectural reply for smart building design concepts based on artificial intelligence simulation models and digital twins, Sustainability 15(6) (2023) 4955. https://doi.org/10.3390/su15064955
[65] Kineber A.F., Elshaboury N., Oke A.E., Aliu J., Abunada Z., Alhusban M., Revolutionizing construction: A cutting-edge decision-making model for artificial intelligence implementation in sustainable building projects, Heliyon 10(17) (2024) e37078. https://doi.org/10.1016/j.heliyon.2024.e37078
[66] Aghimien D., Aigbavboa C., Chan D.W.M., Aghimien E.I., Determinants of cloud computing deployment in South African construction organisations using structural equation modelling and machine learning technique, Engineering, Construction and Architectural Management 31(3) (2024) 1037–1060. https://doi.org/10.1108/ECAM-05-2022-0464
[67] Mustafa M., Mohd-Rahim F., Jamaludin A., Hin K., Big data analytics framework for construction cost estimation in Malaysia, Planning Malaysia 22(3) (2024) 1–18. https://doi.org/10.21837/pm.v22i32.1507
[68] Majumder S., AI in health and safety management for Real Estate 4.0, International Journal of Ambient Computing and Intelligence 13(1) (2022) 1–18. https://doi.org/10.4018/IJACI.311061
[69] Rafanjani H.N., Nabizadeh A.H., Towards digital architecture, engineering, and construction industry through virtual design and construction and digital twin, Energy and Built Environment 4(2) (2023) 169–178. https://doi.org/10.1016/j.enbenv.2021.10.004
[70] Moshood T.D., Rotimi J.O.B., Shahzad W., Bamgbade J.A., Infrastructure digital twin technology: A new paradigm for future construction industry, Technology in Society 77 (2024) 102519. https://doi.org/10.1016/j.techsoc.2024.102519
[71] Hadavi A., Alizadehsalehi S., From BIM to metaverse for AEC industry, Automation in Construction 160 (2024) 105248. https://doi.org/10.1016/j.autcon.2023.105248
[72] Claßen H., Bartels N., Riedlinger U., et al. Transformation of the AECO industry through the metaverse: Potentials and challenges, Discover Applied Sciences 6 (2024) 461. https://doi.org/10.1007/s42452-024-06162-z
[73] Anthony R., K.S., A, K. P., Sawhney A., An exploratory study on the application of digital twins in the Indian construction industry, International Journal of Construction Management 25(9) (2024) 996–1007. https://doi.org/10.1080/15623599.2024.2392301
[74] Sadeghi M., Mahmoudi A., Deng X., Adopting distributed ledger technology for the sustainable construction industry: Evaluating the barriers using ordinal priority approach, Environmental Science and Pollution Research 29(10) (2022) 10495–10520. https://doi.org/10.1007/s11356-021-16376-y
[75] Wu H., Li H., Luo X., Jiang S., Blockchain-based onsite activity management for smart construction process quality traceability, IEEE Internet of Things Journal 10(24) (2023) 21554–21565. https://doi.org/10.1109/JIOT.2023.3300076
[76] Bello A.O., Abdulraheem A.A., Agboola S.A., Afolabi O.P., Factors influencing the adoption of distributed ledger technology in developing countries: An examination of Nigerian construction industry, International Journal of Construction Education and Research 21(3) (2025) 290–320. https://doi.org/10.1080/15578771.2024.2384375
[77] Okanlawon T.T., Oyewobi L.O., Jimoh R.A., Effect of blockchain technology adoption on construction supply chain: A structural equation modelling approach, Journal of Facilities Management 23(3) (2024) 407–428. https://doi.org/10.1108/JFM-07-2023-0077
[78] Yi L., Hiroatsu F., Incentives for innovation in robotics and automated construction: Based on a tripartite evolutionary game analysis, Sustainability 14(4) (2022) 2475. https://doi.org/10.3390/su14042475
[79] Waqar A., Othman I., Pomares J.C., Impact of 3D printing on the overall project success of residential construction projects using structural equation modelling, International Journal of Environmental Research and Public Health 20(5) (2023) 3800. https://doi.org/10.3390/ijerph20053800
[80] Oke A.E., Kineber A.F., Albukhari I., Dada A.J., Modeling the robotics implementation barriers for construction projects in developing countries, International Journal of Building Pathology and Adaptation 42(3) (2024) 386–409. https://doi.org/10.1108/IJBPA-06-2021-0093
[81] Turner C.J., Oyekan J., Stergioulas L., Griffin D., Utilizing Industry 4.0 on the construction site: Challenges and opportunities, IEEE Transactions on Industrial Informatics 17(2) (2021) 746–756. https://doi.org/10.1109/TII.2020.3002197
[82] Reyes Veras P., Renukappa S., Suresh S., Awareness of Big Data concept in the Dominican Republic construction industry: An empirical study, Construction Innovation 22(3) (2022) 465–486. https://doi.org/10.1108/CI-05-2021-0090
[83] You Z., Feng L., Integration of Industry 4.0 related technologies in construction industry: A framework of cyber-physical system, IEEE Access 8 (2020) 122908–122922. https://doi.org/10.1109/ACCESS.2020.3007206
[84] Eder Martinez L., Pfister L., Benefits and limitations of using low-code development to support digitalization in the construction industry, Automation in Construction 152 (2023) 104909. https://doi.org/10.1016/j.autcon.2023.104909
[85] Perera S., Xiaohua J., Samaratunga M., Gunasekara K., Drivers and barriers to digitalisation: A cross-analysis of the views of designers and builders in the construction industry, Journal of Information Technology in Construction 28 (2023) 87–106. https://doi.org/10.36680/j.itcon.2023.005
[86] Musarat M.A., Alaloul W.S., Zainuddin S.M.B., Qureshi A.H., Maqsoom A., Digitalization in Malaysian construction industry: Awareness, challenges and opportunities, Results in Engineering 21 (2024) 102013. https://doi.org/10.1016/j.rineng.2024.102013
[87] Yilmaz G., Salter L., McFarlane D., Schönfuß B., Low-cost digital solution areas for enabling digitalisation in construction SMEs, Computers in Industry 150 (2023) 103941. https://doi.org/10.1016/j.compind.2023.103941
[88] Aghimien D., Aigbavboa C., Meno T., Ikuabe M., Unravelling the risks of construction digitalisation in developing countries, Construction Innovation 21(3) (2021) 456–475. https://doi.org/10.1108/CI-02-2020-0026
[89] Bajpai A., Misra S.C., Barriers to implementing digitalization in the Indian construction industry, International Journal of Quality and Reliability Management 39(10) (2022) 2438–2464. https://doi.org/10.1108/IJQRM-09-2020-0318
[90] Ebekozien A., Samsurijan M.S., Incentivisation of digital technology takers in the construction industry, Engineering, Construction and Architectural Management 31(4) (2024) 1373–1390. https://doi.org/10.1108/ECAM-02-2022-0101
[91] Bajpai A., Misra S.C., A framework for continuation of digitalization in construction: A PLS‑SEM approach, Engineering, Construction and Architectural Management 30(10) (2023) 4715–4734. https://doi.org/10.1108/ECAM-03-2022-0230
[92] Bajpai A., Misra S.C., Kim D.Y., Identification and assessment of risks related to digitalization in Indian construction: A quantitative approach, Business Process Management Journal 29(4) (2023) 965–990. https://doi.org/10.1108/BPMJ-11-2022-0571
[93] Alsehaimi A.O., Sanni-Anibire M.O., Industry 4.0 technologies: An examination of benefits, challenges and critical success factors for implementation in the Saudi construction industry, Construction Innovation 26(2) (2026) 607–630. https://doi.org/10.1108/CI-01-2024-0001
[94] Bhattacharya S., Pant G., Digital transformation in AECO industry: Impending dilemma in the Indian context, Journal of Organizational Change Management 37(3) (2024) 683–699. https://doi.org/10.1108/JOCM-07-2023-0281
[95] Kong H.S., Jie C.W., Prospects and challenges of digital transformation in the Malaysian construction industry, Malaysian Construction Research Journal 21(1) (2024) 104–121. https://www.cream.my/prod/mcrj-special-issue-volume-21-no-1-2024
[96] Singh A., Kumar V., Verma P., Kandasamy J., Identification and severity assessment of challenges in the adoption of Industry 4.0 in Indian construction industry, Asia Pacific Management Review 28(3) (2023) 299–315. https://doi.org/10.1016/j.apmrv.2022.10.007
[97] Yan X., Zhou Y., Li T., Zhu F., What drives the intelligent construction development in China? Buildings 12(8) (2022) 1250. https://doi.org/10.3390/buildings12081250
[98] Zhang J., Chen M., Ballesteros-Pérez P., Ke Y., Gong Z., Ni Q., A new framework to evaluate and optimize digital transformation policies in the construction industry: A China case study, Journal of Building Engineering 70 (2023) 106388. https://doi.org/10.1016/j.jobe.2023.106388
[99] Bayhan H.G., Demirkesen S., Zhang C., Tezel A., A lean construction and BIM interaction model for the construction industry, Production Planning & Control 34(15) (2023) 1447–1474. https://doi.org/10.1080/09537287.2021.2019342
[100] Uvarova S.S., Orlov A.K., Kankhva V.S., Ensuring efficient implementation of lean construction projects using building information modelling, Buildings 13(3) (2023) 770. https://doi.org/10.3390/buildings13030770
[101] Deep S., Vishnoi S., Malhotra R., Mathur S., Yawale H., Kumar A., Singla A., Influence of augmented reality and virtual reality on real estate investment decisions: Understand consumer perspective in Indian AEC industry, Engineering, Construction and Architectural Management 32(2) (2025) 1122–1140. https://doi.org/10.1108/ECAM-04-2023-0327
[102] Hwang B.G., Ngo J., Her P.W.Y., Integrated digital delivery: Implementation status and project performance in the Singapore construction industry, Journal of Cleaner Production 262 (2020) 121396. https://doi.org/10.1016/j.jclepro.2020.121396
[103] Ministério da Gestão e da Inovação em Serviços Públicos (MGI). Guia prático de gestão de processos [Practical guide to process management]. 1st ed. Brasília, DF, MGI, 2024. Available from: https://www.gov.br/gestao/pt-br/acesso-a-informacao/estrategia-e-governanca/gestaodeprocessos/GuiaPrticodeGestodeProcessosv1maiode20241.pdf
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José Matheus Moraes Costa da Silva, Department of Civil Engineering, Polytechnic School, University of Pernambuco, Benfica Street 455, 50.720-001 Recife
Master's Student in the Graduate Program in Civil Engineering (PEC) at the University of Pernambuco (UPE). MBA in Technology and Management in Building Construction at the University of Pernambuco (UPE). Undergradute Degree in Civil Engineering at the Catholic University of Pernambuco (UNICAP) with exchange experience at the University of Toronto, Canada - scholarship provided by CAPES in the Science Without Borders Program.
Alberto Casado Lordsleem Júnior, Department of Civil Engineering, Polytechnic School, University of Pernambuco, Benfica Street 455, 50.720-001 Recife
Degree in Civil Engineering from Federal University of Pernambuco UFPE (1994); Master's (1997), Doctorate (2002) and Post-Doctorate (2010) in Civil and Urban Construction Engineering from Polytechnic School of the São Paulo University USP; Professorship from the Pernambuco University UPE (2012). Postgraduate, Research and Extension Coordinator at the Polytechnic School UPE (2007-2010). He is currently an associate professor; extension and culture sector coordinator; permanent professor of the Postgraduate Program in Civil Engineering PEC, professor of specialization courses and coordinator of the MBA in Technology and Management of Building Construction at the Polytechnic School UPE. Coordinator of POLITECH - Teaching, Research and Extension Group in Building Construction Technology and Management.
Everton Gabriel Medeiros da Silva, Department of Civil Engineering, Polytechnic School, University of Pernambuco, Benfica Street 455, 50.720-001 Recife
Researcher in the Doctoral Program in Civil Construction at the Polytechnic School of the University of Pernambuco (UPE), with an emphasis on Technology and Management of Building Construction; Master's degree in Civil Engineering from the Polytechnic School of the University of Pernambuco (UPE), with an emphasis on Technology and Management of Building Construction, where he received recognition through an Honorable Mention for the best dissertation work; Specialization in Appraisals, Expert Reports, Diagnostic Engineering and Construction Pathologies from the Faculty - BSSP (2022); Bachelor's degree in Civil Engineering from Estácio do Recife Faculty (2020); Technician in Occupational Safety from the Professor Antônio Carlos Gomes da Costa State Technical School (2021).
Fagner José Coutinho de Melo, Department of Civil Engineering, Polytechnic School, University of Pernambuco, Benfica Street 455, 50.720-001 Recife
He holds a Ph.D. (2020) and a postdoctoral fellowship (2024) in Production Engineering from the Federal University of Pernambuco, a Master’s degree in Production Engineering (2016) from the same institution, a specialization in Quality and Productivity Management (2014) from Faculdade dos Guararapes, a Bachelor's degree in Administration (2012) from the Federal University of Pernambuco, and a professional-technical diploma in Building Technician (2010) from the Federal Institute of Pernambuco.
