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

Abstract

Construction projects rely on knowledge distributed among temporary, multidisciplinary teams, firms, and lifecycle stages. Practical judgment often remains with experienced participants, while written accounts may omit the conditions and reasoning needed for later use. This research examines how construction scholarship explains the movement of project knowledge from capture through sharing and retrieval to reuse on another project. It treats these activities as distinct, and considers tacit expertise alongside explicit records, with attention to who contributes knowledge, who needs it, and where it must travel. The planned approach is a qualitative synthesis of published, peer-reviewed research from 2022–2026. The available material supports an analytical framework for extraction and appraisal: identify each study’s setting, lifecycle stage, knowledge activity, method, intended users, and evidence of application; distinguish proposed mechanisms from reported practices and observed outcomes; and retain contextual limits when comparing findings. Prior accounts describe barriers such as delayed reporting, staff movement, unread or inaccessible records, differing terminology, siloed work, and late stakeholder involvement. They also propose reviews, classification, expert consultation, knowledge maps, and BIM-supported systems. These descriptions identify candidate mechanisms, but do not establish that any arrangement consistently enables cross-project reuse. Technical examples further show why a lesson needs its operating conditions and outcome measures to support later appraisal. No completed search, screening record, or eligible study set for the target period is available; therefore, the extent and persistence of reported gaps cannot yet be assessed. The intended contribution is an evidence-informed framework that separates availability, interpretation, and application, while marking uncertain relationships and avoiding claims of validation until eligible studies are appraised.

First Page

Abu Adi, W., Hiyassat, M., & Lepkova, N. (2021). BUSINESS STRATEGY DEVELOPMENT MODEL FOR APPLYING KNOWLEDGE MANAGEMENT IN CONSTRUCTION. JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT, 27(4). https://doi.org/10.3846/jcem.2021.14651 Addis, M. (2014, September). Tacit and explicit knowledge in construction management. Proceedings of the 30th Annual ARCOM Conference. Aldayondri, I., & Dachyar, M. (2025). Driving construction project success through project manager knowledge. Journal of Project Management, 10(4). https://doi.org/10.5267/j.jpm.2025.6.006 Alshalalfah, B., Nafakh, J., Al Banna, Y., & Kaysi, I. (2017). Traffic management of mega infrastructure construction projects: Success story and lessons learned from the riyadh metro project. International Journal of Transport Development and Integration, 2(1). https://doi.org/10.2495/tdi-v2-n1-84-97 Backurs, A., Laizans, A., & Latisonoka, I. (2025). Outlining the quality management practices in the operational and construction activities of the energy company "gren". Baltic Journal of Real Estate Economics and Construction Management, 13(1). https://doi.org/10.2478/bjreecm-2025-0017 Bijleveld, F. (n.d.). Professionalising the asphalt construction process: Aligning information technologies, operators’ knowledge and laboratory practices. Das, A., Saral, B., Atanasova, L., Rein, T., & Dörfler, K. (2026). Translating intention: AI-assisted model generation for collaborative human–robot construction. Construction Robotics, 10(2). https://doi.org/10.1007/s41693-026-00205-0 Duryan, M., & Smyth, H. Reflecting on knowledge management as an enabler of innovation in project-based construction firms.

Last Page

Wang, H., & Meng, X. (2021). BIM-supported knowledge management: Potentials and expectations. Journal of Management in Engineering, 37(4). https://doi.org/10.1061/(asce)me.1943-5479.0000934 Xu, N., Ma, L., Wang, L., Deng, Y., & Ni, G. (2021). Extracting domain knowledge elements of construction safety management: Rule-based approach using chinese natural language processing. Journal of Management in Engineering, 37(2). https://doi.org/10.1061/(asce)me.1943-5479.0000870 Yalçın, D. F., & Yavuz Pelvan, Z. B. (2025). Teaching how to write construction specifications through the narrative by utilizing tacit knowledge. Mimarlık Bilimleri Ve Uygulamaları Dergisi (MBUD), 10(1). https://doi.org/10.30785/mbud.1526140 Yepes, V., & López, S. (2021). KNOWLEDGE MANAGEMENT IN THE CONSTRUCTION INDUSTRY: CURRENT STATE OF KNOWLEDGE AND FUTURE RESEARCH. JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT, 27(8). https://doi.org/10.3846/jcem.2021.16006 Yılmaz, A., Akcay, E. C., Dikmen, I., & Birgonul, M. T. (2025). An activity-based lessons learned model to support scheduling decisions in construction. Engineering, Construction and Architectural Management, 33(6). https://doi.org/10.1108/ecam-06-2024-0729 ZHANG, L., WU, X., DING, L., SKIBNIEWSKI, M. J., & LU, Y. (2016). BIM-BASED RISK IDENTIFICATION SYSTEM IN TUNNEL CONSTRUCTION. JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT, 22(4). https://doi.org/10.3846/13923730.2015.1023348 Zhao, C., Wang, Y., Tian, M., Zhou, Y., Bian, J., & Kang, T. Research on the safety knowledge system for experimental and practical training teaching in universities of chinese medicine.

Publication Date

Fall 10-20-2026

Download

Share

COinS