Mechanical and Civil Engineering Faculty Publications

Document Type

Article

Publication Title

Developing and Validating a Socio-Technical BIM-Lean Integration Maturity Model for Predicting Construction Project Performance

Abstract

This study proposes a socio-technical, multi-level maturity model that integrates BIM and Lean to explain variation in project performance across cost, schedule, productivity, quality, safety, and sustainability, and outlines a sequential mixed-methods design-science programmed for instrument development and validation. Combining systematic review, semi-structured expert interviews, Delphi consensus, exploratory and confirmatory factor analysis, multi-criteria weighting, and PLS-SEM, the approach separates adoption, subsystem capability, and integration maturity, and treats integration as an emergent property of aligned infrastructure, human capability, governance, and continuous-improvement routines. Measurement development emphasizes reflective multi-item constructs for BIM technical capability, Lean production governance, system integration quality, socio-technical alignment, and process mediators such as data and workflow efficiency. Reliability and validity criteria follow established thresholds for outer loadings, composite reliability, AVE, Fornell–Larcker, and HTMT; procedural and statistical controls address common-method bias. Structural models test direct and mediated pathways from integration maturity to a higher-order performance construct and evaluate moderators like human capability fit and organizational readiness, along with multigroup comparisons by sector and organization size to identify contingent effects. Practical outputs include a validated survey instrument, scoring rules, maturity–performance profiles, and guidance for prioritizing interventions that link CDEs, ERP, AI-enabled control components, and Lean production practices. Ethical and contractual dimensions are incorporated by treating algorithmic transparency, human-in-the-loop governance, and procurement clauses as integral maturity facets. The research agenda concludes by recommending longitudinal and quasi-experimental follow-up to strengthen causal inference and to evaluate whether maturity-guided interventions produce measurable improvements in operational KPIs.

First Page

Abumoeilak, L., Beheiry, S., & Atabay, S. (2025). An integrated decision support system for BIM level 3 implementation. Frontiers in Built Environment, 11. https://doi.org/10.3389/fbuil.2025.1687407 Al Ahmad, M. H., Arifuddin, R., & Abdurrahman, M. A. (2026). Cost overrun factors in construction projects: A BIM and SEM analysis. Engineering, Technology &Amp; Applied Science Research, 16(2). https://doi.org/10.48084/etasr.14744 Alahmari, D., Hussain, Z., Mohammad, S. I., Bansal, R., Vasudevan, A., Alabsy, N. M., Abdelfattah, W. M., & Awad, A. (2026). Harnessing socio-technical alignment for AI-enabled circular supply chains: The role of infrastructure readiness and human capability fit. Frontiers in Human Dynamics, 8. https://doi.org/10.3389/fhumd.2026.1826427 Arifin, J., Prabowo, H., Hamsal, M., & Elidjen, E. (2025). The role of business model innovation as mediating and environmental dynamism as moderating variable to improve performance in indonesia. International Journal of Innovative Research and Scientific Studies, 8(9). https://doi.org/10.53894/ijirss.v8i9.10655 Arju, M. A. A. S. (2024). A meta-analysis of agile and lean project management methodologies in large-scale engineering and IT integration projects. American Journal of Data Science and Analytics, 05(12). https://doi.org/10.63125/6281tn40 Assaf, M., Salami, L., Salhab, D., & Hammad, A. (2023, June). Promoting the IPD delivery method in construction projects: A BIM-based smart contract approach. Annual Conference of the International Group for Lean Construction. https://doi.org/10.24928/2023/0149 Chen, K., Loo, S.-C., & Alias, A. (2024). A bibliometric review of maturity model studies in the construction industry. Journal of Construction in Developing Countries, 29(S1). https://doi.org/10.21315/jcdc.2024.29.s1.7 Deng, T., & Tan, Y. (2023, June). Efficient pavement distress detection and visual management in lean construction based on BIM and deep learnin. Annual Conference of the International Group for Lean Construction. https://doi.org/10.24928/2023/0230 Fatade, A., Chukwuma, T. T., Adeniya, F. A., & Enobakhare, B. O. (2026). Autonomous AI-enabled digital twins for socio-technical systems: Architectures, autonomy levels, and

Last Page

Seyis, S., & Özkan, S. (2024). Analyzing the added value of common data environments for organizational and project performance of BIM-based projects. Journal of Information Technology in Construction, 29. https://doi.org/10.36680/j.itcon.2024.012 Unknown. (n.d.). Developing organizational capabilities to deliver lean and green project outcomes using BIM. Unknown. Exploring product -service systems in the digital era: A socio -technical systems perspective. Vagin, S. S., & Palkina, E. S. (2025). Maturity matrix of digital lean manufacturing. Modern Transportation Systems and Technologies, 11(3). https://doi.org/10.17816/transsyst688686 Zouari, D., Ruel, S., & Viale, L. (2020). Does digitalising the supply chain contribute to its resilience? International Journal of Physical Distribution &Amp; Logistics Management, 51(2). https://doi.org/10.1108/ijpdlm-01-2020-0038

Publication Date

Fall 8-4-2026

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