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Abd El-Razek, M E, Bassioni, H A and Mobarak, A M (2008) Causes of Delay in Building Construction Projects in Egypt. Journal of Construction Engineering and Management, 134(11), 831–41.

Choi, H and Mahadevan, S (2008) Construction Project Risk Assessment Using Existing Database and Project-Specific Information. Journal of Construction Engineering and Management, 134(11), 894–903.

Eom, C S, Yun, S H and Paek, J H (2008) Subcontractor Evaluation and Management Framework for Strategic Partnering. Journal of Construction Engineering and Management, 134(11), 842–51.

Hu, J, Ren, Z and Shen, L (2008) Impacts of Overseas Management Structures on Project Buyout Management: Case Studies of Chinese International Contractors. Journal of Construction Engineering and Management, 134(11), 864–75.

Kang, Y, O’Brien, W J, Thomas, S and Chapman, R E (2008) Impact of Information Technologies on Performance: Cross Study Comparison. Journal of Construction Engineering and Management, 134(11), 852–63.

  • Type: Journal Article
  • Keywords: Information technology (IT); Construction management; Computer aided operations; Construction costs; Case reports;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2008)134:11(852)
  • Abstract:
    This paper evaluates the use of information technology (IT) and its impact on project and company performance in the construction industry. Using project level data from 139 projects and company level data from 74 companies, the current state of IT use in the construction industry was studied and statistical analyses were performed to assess the correlation between IT use and performance. Analyses are segregated by owner and contractor stakeholder groups and findings suggest that more IT use correlates with improved performance. Schedule performance has a strong positive association with increased IT use, whereas cost performance, although positively correlated, has a weaker relationship. These findings are in line with previous studies, adding to the research that IT has a positive impact on performance. Further comparison is made to show that IT use has increased over time among projects drawn from a similar sample population.

Kim, J and Ellis, R D (2008) Permutation-Based Elitist Genetic Algorithm for Optimization of Large-Sized Resource-Constrained Project Scheduling. Journal of Construction Engineering and Management, 134(11), 904–13.

Kong, D, Tiong, R L, Cheah, C Y, Permana, A and Ehrlich, M (2008) Assessment of Credit Risk in Project Finance. Journal of Construction Engineering and Management, 134(11), 876–84.

Schatteman, D, Herroelen, W, Van de Vonder, S and Boone, A (2008) Methodology for Integrated Risk Management and Proactive Scheduling of Construction Projects. Journal of Construction Engineering and Management, 134(11), 885–93.