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Garrett, J W and Teizer, J (2009) Human Factors Analysis Classification System Relating to Human Error Awareness Taxonomy in Construction Safety. Journal of Construction Engineering and Management, 135(08), 754–63.
Girmscheid, G (2009) NPV Model for Evaluating the Economic Efficiency of Municipal Street Maintenance by Private Providers. Journal of Construction Engineering and Management, 135(08), 701–9.
Imbeah, W and Guikema, S (2009) Managing Construction Projects Using the Advanced Programmatic Risk Analysis and Management Model. Journal of Construction Engineering and Management, 135(08), 772–81.
Islam, M M and Mohamed, S (2009) Bid-Winning Potential Optimization for Concession Schemes with Imprecise Investment Parameters. Journal of Construction Engineering and Management, 135(08), 690–700.
Manley, K, McFallan, S and Kajewski, S (2009) Relationship between Construction Firm Strategies and Innovation Outcomes. Journal of Construction Engineering and Management, 135(08), 764–71.
Marzouk, M, Said, H and El-Said, M (2009) Framework for Multiobjective Optimization of Launching Girder Bridges. Journal of Construction Engineering and Management, 135(08), 791–800.
Puddicombe, M S (2009) Why Contracts: Evidence. Journal of Construction Engineering and Management, 135(08), 675–82.
Rosner, J W, Thal, A E and West, C J (2009) Analysis of the Design-Build Delivery Method in Air Force Construction Projects. Journal of Construction Engineering and Management, 135(08), 710–7.
Sacks, R, Rozenfeld, O and Rosenfeld, Y (2009) Spatial and Temporal Exposure to Safety Hazards in Construction. Journal of Construction Engineering and Management, 135(08), 726–36.
Senouci, A and El-Rayes, K (2009) Time-Profit Trade-Off Analysis for Construction Projects. Journal of Construction Engineering and Management, 135(08), 718–25.
Yip, B and Rowlinson, S (2009) Job Redesign as an Intervention Strategy of Burnout: Organizational Perspective. Journal of Construction Engineering and Management, 135(08), 737–45.
Yiu, T W and Lai, W Y (2009) Efficacy of Trust-Building Tactics in Construction Mediation. Journal of Construction Engineering and Management, 135(08), 683–9.
Yu, H, Tweed, T, Al-Hussein, M and Nasseri, R (2009) Development of Lean Model for House Construction Using Value Stream Mapping. Journal of Construction Engineering and Management, 135(08), 782–90.
Zhai, D, Goodrum, P M, Haas, C T and Caldas, C H (2009) Relationship between Automation and Integration of Construction Information Systems and Labor Productivity. Journal of Construction Engineering and Management, 135(08), 746–53.
- Type: Journal Article
- Keywords: Construction management; Productivity; Information technology (IT); Automation; Labor;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000024
- Abstract:
Information technology (IT) has been used to increase automation and integration of information systems on construction projects for over two decades. However, evidence that overall costs have been reduced or project performance has been improved with IT in construction is limited and mostly focused on application specific studies. A comprehensive understanding of the relationship between IT and project performance helps industry practitioners better understand the likely outcomes of implementation of IT application and likewise benefits researchers in improving the effectiveness in their IT development efforts. An opportunity to examine new evidence exists with the emergence of the Construction Industry Institute’s Benchmarking and Metrics database on construction productivity and practices. This article presents an analysis of that data to determine if there is a relationship between labor productivity and level of IT implementation and integration. Data from industrial construction projects are used to measure the relationships between the automation and integration of construction information systems with productivity. Using the independent sample t-test, the relationship was examined between jobsite productivity across four trades (concrete, structural steel, electrical, and piping) and the automation and integration of various work functions on the sampled projects. The results showed that construction labor productivity was positively related to the use of automation and integration on the sampled projects.