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Adami, V S, Verschoore, J R and Antunes Junior, J A V (2019) Effect of Relational Characteristics on Management of Wind Farm Interorganizational Construction Projects. Journal of Construction Engineering and Management, 145(03).
Alruqi, W M and Hallowell, M R (2019) Critical Success Factors for Construction Safety: Review and Meta-Analysis of Safety Leading Indicators. Journal of Construction Engineering and Management, 145(03).
Chegu Badrinath, A and Hsieh, S (2019) Empirical Approach to Identify Operational Critical Success Factors for BIM Projects. Journal of Construction Engineering and Management, 145(03).
- Type: Journal Article
- Keywords: Building information modeling (BIM); Influencing factors (IFs); Operational critical success factors (OCSFs); Taiwanese architecture, engineering, construction, and operation (AECO) industry;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001607
- Abstract:
Architecture, engineering, construction, and operation (AECO) organizations must adopt building information modeling (BIM) technology, define workflows, and develop internal policies to deliver BIM projects successfully. AECO projects are known as BIM projects when BIM is used during such projects. Organizations must identify project objectives, critical success factors (CSFs), and operational critical success factors (OCSFs); set performance measures; and perform assessments to verify if they are progressing toward success. OCSFs are the factors that can drive the CSFs such that operational issues are well resolved by the project stakeholders. There are several BIM standards and guidelines to appropriately diffuse BIM technology and workflows. However, there are few holistic approaches to identify OCSFs. To meet this necessity, a step-by-step procedure is proposed with an empirical approach to define project objectives, CSFs, and OCSFs. The framework of influencing factors (IFs) is developed by organizing the wide range of IFs from the literature. As a case study, the proposed approach is used to identify OCSFs for Taiwanese BIM projects. It is not only generally applicable to identify OCSFs in other countries, but also capable of helping a small team of BIM experts to identify OCSFs. The developed framework of IFs can be adjusted to fit the needs of design, construction, and operation organizations by retaining the necessary factor groups in the framework.
Kim, T and Chi, S (2019) Accident Case Retrieval and Analyses: Using Natural Language Processing in the Construction Industry. Journal of Construction Engineering and Management, 145(03).
Laurent, J and Leicht, R M (2019) Practices for Designing Cross-Functional Teams for Integrated Project Delivery. Journal of Construction Engineering and Management, 145(03).
Lindhard, S M, Hamzeh, F, Gonzalez, V A, Wandahl, S and Ussing, L F (2019) Impact of Activity Sequencing on Reducing Variability. Journal of Construction Engineering and Management, 145(03).
Monzer, N, Fayek, A R, Lourenzutti, R and Siraj, N B (2019) Aggregation-Based Framework for Construction Risk Assessment with Heterogeneous Groups of Experts. Journal of Construction Engineering and Management, 145(03).
Nguyen, L H (2019) Relationships between Critical Factors Related to Team Behaviors and Client Satisfaction in Construction Project Organizations. Journal of Construction Engineering and Management, 145(03).
Su, Z, Wei, H, Zou, X and Qi, J (2019) Zero-One Formulation for a Partial Resource-Constrained Project Scheduling Problem with Generalized Precedence Relations. Journal of Construction Engineering and Management, 145(03).
Wang, Q, Guo, Z, Mintah, K, Li, Q, Mei, T and Li, P (2019) Cell-Based Transport Path Obstruction Detection Approach for 4D BIM Construction Planning. Journal of Construction Engineering and Management, 145(03).
Zhang, H, Yan, X, Li, H, Jin, R and Fu, H (2019) Real-Time Alarming, Monitoring, and Locating for Non-Hard-Hat Use in Construction. Journal of Construction Engineering and Management, 145(03).