ARCOM

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Ballesteros-Pérez, P, Skitmore, M, Pellicer, E and Zhang, X (2016) Scoring Rules and Competitive Behavior in Best-Value Construction Auctions. Journal of Construction Engineering and Management, 142(09).

Chan, A P C, Javed, A A, Lyu, S, Hon, C K H and Wong, F K W (2016) Strategies for Improving Safety and Health of Ethnic Minority Construction Workers. Journal of Construction Engineering and Management, 142(09).

Chen, Y, Dib, H, Cox, R F, Shaurette, M and Vorvoreanu, M (2016) Structural Equation Model of Building Information Modeling Maturity. Journal of Construction Engineering and Management, 142(09).

De Jorge Moreno, J, De Jorge Huertas, V and Rojas Carrasco, O (2016) Assessment of the Efficiency of the Spanish Construction Industry Using Parametric Methods: Case Study. Journal of Construction Engineering and Management, 142(09).

Dursun, O and Stoy, C (2016) Conceptual Estimation of Construction Costs Using the Multistep Ahead Approach. Journal of Construction Engineering and Management, 142(09).

Fang, D, Zhao, C and Zhang, M (2016) A Cognitive Model of Construction Workers’ Unsafe Behaviors. Journal of Construction Engineering and Management, 142(09).

Goodrum, P M, Miller, J, Sweany, J and Alruwaythi, O (2016) Influence of the Format of Engineering Information and Spatial Cognition on Craft-Worker Performance. Journal of Construction Engineering and Management, 142(09).

Govan, P and Damnjanovic, I (2016) The Resource-Based View on Project Risk Management. Journal of Construction Engineering and Management, 142(09).

Type: Journal Article
Keywords: Project management; Risk analysis; Risk management; Network analysis; Quantitative methods;
ISBN/ISSN: 0733-9364
URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001136
Abstract:
The benefits of conducting risk analyses in the planning of construction projects are widely acknowledged. However, the actual implementation of procedures notably differs significantly across industry segments. Even within an organization, different units represent risks differently, depending on their primary function. As a result, a holistic picture of the risk exposure is often hard to describe and even harder to manage. The objective of this paper is to provide a link between strategic planning theory, namely the resource-based view (RBV), and project risk management. The proposed resource-based approach is based on the development of a project causal network which then allows for both data-intensive and conceptual evaluation of the project risks, primarily focusing on cost impacts. The key contribution of this paper is the capacity of the developed framework to integrate with a number of methods already used in project management practices with little to no additional data requirement. These contributions are illustrated using real project data.

Hanna, A S (2016) Benchmark Performance Metrics for Integrated Project Delivery. Journal of Construction Engineering and Management, 142(09).

Hosseini, S M A, de la Fuente, A and Pons, O (2016) Multicriteria Decision-Making Method for Sustainable Site Location of Post-Disaster Temporary Housing in Urban Areas. Journal of Construction Engineering and Management, 142(09).

Nguyen, L D, Tran, D Q and Chandrawinata, M P (2016) Predicting Safety Risk of Working at Heights Using Bayesian Networks. Journal of Construction Engineering and Management, 142(09).

Ramsey, D, El Asmar, M and Gibson, G E (2016) Quantitative Performance Assessment of Single-Step versus Two-Step Design-Build Procurement. Journal of Construction Engineering and Management, 142(09).

Shealy, T, Klotz, L, Weber, E U, Johnson, E J and Bell, R G (2016) Using Framing Effects to Inform More Sustainable Infrastructure Design Decisions. Journal of Construction Engineering and Management, 142(09).

Signor, R, Love, P E D and Olatunji, O (2016) Determining Overpricing in Brazilian Infrastructure Projects: A Forensic Approach. Journal of Construction Engineering and Management, 142(09).