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Antillon, E I, Molenaar, K R and Javernick-Will, A (2017) Evaluating the Effect of Contract Timing on Lifecycle-Design Innovation in Public–Private Partnerships: Comparative Case Study of Highway Projects. Journal of Construction Engineering and Management, 143(04).
Cavalcante, C A V, Alencar, M H and Lopes, R S (2017) Multicriteria Model to Support Maintenance Planning in Residential Complexes under Warranty. Journal of Construction Engineering and Management, 143(04).
Chih, Y, Kiazad, K, Li, M, Capezio, A, Zhou, L and Restubog, S L D (2017) Broken Promises: Implications for the Job Insecurity and Job Performance of Chinese Construction Workers. Journal of Construction Engineering and Management, 143(04).
Delgado-Hernandez, D J, Cruz-Cruz, C C and Vences-García, P Y (2017) Improvement Management Tools in the Construction Industry: Case Study of Mexico. Journal of Construction Engineering and Management, 143(04).
Fang, Y and Cho, Y K (2017) Effectiveness Analysis from a Cognitive Perspective for a Real-Time Safety Assistance System for Mobile Crane Lifting Operations. Journal of Construction Engineering and Management, 143(04).
Gao, R, Chan, A P C, Utama, W P and Zahoor, H (2017) Workers’ Perceptions of Safety Climate in International Construction Projects: Effects of Nationality, Religious Belief, and Employment Mode. Journal of Construction Engineering and Management, 143(04).
Gunduz, M, Birgonul, M T and Ozdemir, M (2017) Fuzzy Structural Equation Model to Assess Construction Site Safety Performance. Journal of Construction Engineering and Management, 143(04).
Khan, A, Do, J and Kim, D (2017) Experimental Optimization of High-Strength Self-Compacting Concrete Based on D-Optimal Design. Journal of Construction Engineering and Management, 143(04).
Liu, R, Du, J, Issa, R R A and Giel, B (2017) BIM Cloud Score: Building Information Model and Modeling Performance Benchmarking. Journal of Construction Engineering and Management, 143(04).
- Type: Journal Article
- Keywords: Building information modeling (BIM); Performance evaluation; Productivity; Benchmarking; Information technologies;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001251
- Abstract:
The rapid adoption of building information modeling (BIM) in the architecture, engineering, construction, and operations (AECO) industry in recent years has resulted in large differences in the level of BIM adoption and application among organizations. AECO stakeholders, including owners, general contractors, and designers, do not have a benchmark system for them to understand their own performance and know how to improve themselves. A cloud-based BIM performance benchmarking application, BIM Cloud Score (BIMCS), has been proposed to collect BIM performance data from BIM users nationwide in order to allow them to compare their BIM performance with the results collected from their industry peers. This research aims to develop and validate an initial list of metrics that are suitable for the proposed BIM benchmarking application. A survey was conducted in the AECO industry and included BIM authors (architects) and users (contractors) to validate the proposed initial list of metrics. The responses from the survey were used for initializing the metric weights for the benchmarking system. In addition, an analysis of the differences in perception among different groups of respondents showed that out of 26 variables used, the perceived importance of 6 variables was statistically different between BIM authors and BIM users. This result indicates that the surveyed architects and contractors were in agreement with the importance level for most of the variables proposed including model usefulness, model economy, and model productivity. Future adjustments of the metric weights might be needed in the implementation based on the different intended purposes for the BIM models.
McCabe, B Y, Alderman, E, Chen, Y, Hyatt, D E and Shahi, A (2017) Safety Performance in the Construction Industry: Quasi-Longitudinal Study. Journal of Construction Engineering and Management, 143(04).
Ozorhon, B and Oral, K (2017) Drivers of Innovation in Construction Projects. Journal of Construction Engineering and Management, 143(04).
Praticò, F G (2017) Metrics for Management of Asphalt Plant Sustainability. Journal of Construction Engineering and Management, 143(04).
Wang, D, Arditi, D and Damci, A (2017) Construction Project Managers’ Motivators and Human Values. Journal of Construction Engineering and Management, 143(04).
Xu, J, Jiang, L and Moon, S (2017) Determination of the Optimal Concession Period for BOT Contract Projects Based on a Discrete Stochastic Process Model. Journal of Construction Engineering and Management, 143(04).
Yu, T, Shen, G Q and Shi, Q (2017) Comparing the Performance Quality of Design-Bid-Build and Design-Build Delivery Methods. Journal of Construction Engineering and Management, 143(04).