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Chan, A P C, Wong, F K W, Chan, D W M, Yam, M C H, Kwok, A W K, Lam, E W M and Cheung, E (2008) Work at Height Fatalities in the Repair, Maintenance, Alteration, and Addition Works. Journal of Construction Engineering and Management, 134(07), 527–35.

Damnjanovic, I and Zhang, Z (2008) Risk-Based Model for Valuation of Performance-Specified Pavement Maintenance Contracts. Journal of Construction Engineering and Management, 134(07), 492–500.

Eastman, C M and Sacks, R (2008) Relative Productivity in the AEC Industries in the United States for On-Site and Off-Site Activities. Journal of Construction Engineering and Management, 134(07), 517–26.

Goedert, J D and Meadati, P (2008) Integrating Construction Process Documentation into Building Information Modeling. Journal of Construction Engineering and Management, 134(07), 509–16.

Hyun, C, Cho, K, Koo, K, Hong, T and Moon, H (2008) Effect of Delivery Methods on Design Performance in Multifamily Housing Projects. Journal of Construction Engineering and Management, 134(07), 468–82.

Nguyen, L D and Ibbs, W (2008) FLORA: New Forensic Schedule Analysis Technique. Journal of Construction Engineering and Management, 134(07), 483–91.

Salem, O and Mohanty, S (2008) Project Management Practices and Information Technology Research. Journal of Construction Engineering and Management, 134(07), 501–8.

  • Type: Journal Article
  • Keywords: Construction management; Research; Computer software; Information technology (IT);
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2008)134:7(501)
  • Abstract:
    Corporations of varying sizes and operations within the construction industry acclaim the contribution of project management applications that assist in business and operational practices. An integrated intelligent construction management application that enables process modeling and algorithmic analysis of construction process planning, interacts with a mainframe-based automated relational database system, and drives the project sequencing, scheduling, decision making and change management processes can introduce dramatic speed, simplicity, accuracy, and collaboration into existing project planning practices. Several research organizations and academic fraternities in concert with industry participation are focusing on the development of such futuristic tools as described above. However, evidence of such computing applications being used by the industry is minimal and a number of reasons have been cited by researchers for this. This study, through a review of the genesis, evolution, and future of computing applications in construction followed by an industry-wide survey, aims to study whether or not concurrent research agendas in construction information technology are truly sustainable from the industry’s perspective.

Sanad, H M, Ammar, M A and Ibrahim, M E (2008) Optimal Construction Site Layout Considering Safety and Environmental Aspects. Journal of Construction Engineering and Management, 134(07), 536–44.

Tam, V W Y, Le, K N and Le, H N (2008) Using Gaussian and Hyperbolic Distributions for Quality Improvement in Construction: Case Study Approach. Journal of Construction Engineering and Management, 134(07), 555–61.

Tang, W, Qiang, M, Duffield, C F, Young, D M and Lu, Y (2008) Incentives in the Chinese Construction Industry. Journal of Construction Engineering and Management, 134(07), 457–67.

Zhang, H, Li, H and Lu, M (2008) Modeling Time-Constraints in Construction Operations through Simulation. Journal of Construction Engineering and Management, 134(07), 545–54.