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Altuwaim, A and El-Rayes, K (2018) Optimizing the Scheduling of Repetitive Construction to Minimize Interruption Cost. Journal of Construction Engineering and Management, 144(07).
Hasanzadeh, S, Esmaeili, B and Dodd, M D (2018) Examining the Relationship between Construction Workers’ Visual Attention and Situation Awareness under Fall and Tripping Hazard Conditions: Using Mobile Eye Tracking. Journal of Construction Engineering and Management, 144(07).
Hosseini, M R, Martek, I, Chileshe, N, Zavadskas, E K and Arashpour, M (2018) Assessing the Influence of Virtuality on the Effectiveness of Engineering Project Networks: “Big Five Theory” Perspective. Journal of Construction Engineering and Management, 144(07).
Hwang, S, Jebelli, H, Choi, B, Choi, M and Lee, S (2018) Measuring Workers’ Emotional State during Construction Tasks Using Wearable EEG. Journal of Construction Engineering and Management, 144(07).
Jordan Srour, F, Kiomjian, D and Srour, I M (2018) Automating the Use of Learning Curve Models in Construction Task Duration Estimates. Journal of Construction Engineering and Management, 144(07).
Karakhan, A A, Rajendran, S, Gambatese, J and Nnaji, C (2018) Measuring and Evaluating Safety Maturity of Construction Contractors: Multicriteria Decision-Making Approach. Journal of Construction Engineering and Management, 144(07).
Karimi, H, Taylor, T R B, Dadi, G B, Goodrum, P M and Srinivasan, C (2018) Impact of Skilled Labor Availability on Construction Project Cost Performance. Journal of Construction Engineering and Management, 144(07).
Konstantinou, E and Brilakis, I (2018) Matching Construction Workers across Views for Automated 3D Vision Tracking On-Site. Journal of Construction Engineering and Management, 144(07).
Lee, C Y, Chong, H and Wang, X (2018) Enhancing BIM Performance in EPC Projects through Integrative Trust-Based Functional Contracting Model. Journal of Construction Engineering and Management, 144(07).
Liu, J and Lu, M (2018) Constraint Programming Approach to Optimizing Project Schedules under Material Logistics and Crew Availability Constraints. Journal of Construction Engineering and Management, 144(07).
Masih-Tehrani, M and Ebrahimi-Nejad, S (2018) Hybrid Genetic Algorithm and Linear Programming for Bulldozer Emissions and Fuel-Consumption Management Using Continuously Variable Transmission. Journal of Construction Engineering and Management, 144(07).
Mirzaei, A, Nasirzadeh, F, Parchami Jalal, M and Zamani, Y (2018) 4D-BIM Dynamic Time–Space Conflict Detection and Quantification System for Building Construction Projects. Journal of Construction Engineering and Management, 144(07).
Sankaran, B and O’Brien, W J (2018) Impact of CIM Technologies and Agency Policies on Performance for Highway Infrastructure Projects. Journal of Construction Engineering and Management, 144(07).
- Type: Journal Article
- Keywords: Civil integrated management (CIM); Information modeling; Qualitative comparative analysis; Digital project delivery and asset management; Performance measures;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001484
- Abstract:
The digital tools and practices that facilitate the collection, organization, and use of accurate data and information throughout the life cycle of a highway infrastructure asset are referred to as civil integrated management (CIM). The collective impact of CIM practices and agency policies on project and asset performance has yet to be established by data-driven research. This paper empirically models the effect of CIM practices on the resulting reduction in change orders, savings in the schedule, improvements in quality of work, and safety benefits. The modeling framework in this study also incorporates suitable constructs to study the influence of agency approaches such as financial resources, team alignment, information management policies, standards, and contract specifications. Through case studies, CIM implementation and performance data were compiled in detail across 12 highway projects in the United States and a megaproject in the United Kingdom. Cross-case comparisons were then carried out using qualitative comparative analysis to extract the causal conditions for outcome measures. Results indicated the presence of multiple solution pathways for explaining performance benefits. The solution pathways that include the CIM attribute sufficiently explained the reported performance benefits for the projects. However, lower necessity scores of this attribute (below 0.6) showed that CIM as an enabling ingredient is not always necessary. As such, alternate solutions that exclude CIM in causal pathways do exist and they reiterate that technology is just a supportive tool. Information management strategies and contract standards and specifications recorded high sufficiency and necessity scores (above 0.8), indicating their significance to performance. The findings from this empirical research underscore the multidimensional nature of CIM implementation, ascertain the associated agency factors, and demonstrate a novel performance framework for agencies investing in the integration of digital practices.
Swei, O (2018) Long-Run Construction Cost Trends: Baumol’s Cost Disease and a Disaggregate Look at Building Material Price Dynamics. Journal of Construction Engineering and Management, 144(07).
Trinh, M T, Feng, Y and Jin, X (2018) Conceptual Model for Developing Resilient Safety Culture in the Construction Environment. Journal of Construction Engineering and Management, 144(07).