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Beavers, J E, Moore, J R and Schriver, W R (2009) Steel Erection Fatalities in the Construction Industry. Journal of Construction Engineering and Management, 135(03), 227–34.

Blacud, N A, Bogus, S M, Diekmann, J E and Molenaar, K R (2009) Sensitivity of Construction Activities under Design Uncertainty. Journal of Construction Engineering and Management, 135(03), 199–206.

Chan, E H and Au, M C (2009) Factors Influencing Building Contractors’ Pricing for Time-Related Risks in Tenders. Journal of Construction Engineering and Management, 135(03), 135–45.

Chao, L and Chien, C (2009) Estimating Project S-Curves Using Polynomial Function and Neural Networks. Journal of Construction Engineering and Management, 135(03), 169–77.

Chung, B, Skibniewski, M J and Kwak, Y H (2009) Developing ERP Systems Success Model for the Construction Industry. Journal of Construction Engineering and Management, 135(03), 207–16.

  • Type: Journal Article
  • Keywords: Construction management; Construction industry; Models;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2009)135:3(207)
  • Abstract:
    Recently, a significant number of major construction companies embarked on the implementation of integrated information technology solutions such as enterprise resource planning (ERP) systems to better integrate various business functions. However, these integrated systems in the construction sector present a set of unique challenges, different from those in the manufacturing or other service sectors. There have been many cases of failure in implementing ERP systems in the past, so it is critical to identify and understand the factors that largely determine the success or failure of ERP implementation in the construction industry. This paper presents the process of developing an ERP systems success model to guide a successful ERP implementation project and to identify success factors for ERP systems implementation. The paper identifies factors associated with the success and failure of ERP systems, and develops a success model to analyze the relationships between key factors and the success of such systems. The proposed ERP systems success model adapts the technology acceptance model and DeLone and McLean’s information systems success model and integrates those with key project management principles. The goal of the ERP systems success model is to better evaluate, plan, and implement ERP projects and help senior managers make better decisions when considering ERP systems in their organization.

Dai, J, Goodrum, P M and Maloney, W F (2009) Construction Craft Workers’ Perceptions of the Factors Affecting Their Productivity. Journal of Construction Engineering and Management, 135(03), 217–26.

Hwang, B, Thomas, S R, Haas, C T and Caldas, C H (2009) Measuring the Impact of Rework on Construction Cost Performance. Journal of Construction Engineering and Management, 135(03), 187–98.

Kim, B and Reinschmidt, K F (2009) Probabilistic Forecasting of Project Duration Using Bayesian Inference and the Beta Distribution. Journal of Construction Engineering and Management, 135(03), 178–86.

Menassa, C C, Mora, F P and Pearson, N (2009) Option Pricing Model to Analyze Cost–Benefit Trade-Offs of ADR Investments in AEC Projects. Journal of Construction Engineering and Management, 135(03), 156–68.

Sharma, H, McIntyre, C, Gao, Z and Nguyen, T (2009) Developing a Traffic Closure Integrated Linear Schedule for Highway Rehabilitation Projects. Journal of Construction Engineering and Management, 135(03), 146–55.