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Cited by 414

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Systematic Risk Management Approach for Construction Projects

Al‐Bahar, Jamal F., Crandall, Keith C.·1990·Journal of Construction Engineering and Management
DOI 10.1061/(asce)0733-9364(1990)116:3(533

Abstract

Risk is inherently present in all construction projects. Quite often, construction projects fail to achieve their time, quality, and budget goals. A risk model entitled construction risk management system (CRMS) is introduced to help contractors identify project risks and systematically to analyze and manage them. The CRMS model is a logical substitute for the traditional intuitive unsystematic approach currently used by most contractors. The influence diagramming technique and Monte Carlo simulation are used as tools to analyze and evaluate project risks. Alternative risk management strategies are suggested. Such strategies include: risk avoidance, risk transfer, risk retention, loss reduction, and risk prevention and insurance.

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Crossref · 10.1061/(asce)0733-9364(1990)116:3(533)

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Metadata

Authors
Al‐Bahar, J. F., & Crandall, K. C.
Venue
Journal of Construction Engineering and Management
Published
1990-09
Volume
116
Issue
3
Pages
533-546
ISSN
  • 0733-9364 (ISSN-L)
  • 1943-7862
DOI
10.1061/(asce)0733-9364(1990)116:3(533
OpenAlex
W2040629268
Cited by
414
References
7
FWCI
0.56
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Systematic Risk Management Approach for Construction Projects. https://app.cochat.ai/papers/10.1061/(asce)0733-9364(1990)116:3(533
The paper
Al‐Bahar, J. F., & Crandall, K. C. (1990). Systematic Risk Management Approach for Construction Projects. Journal of Construction Engineering and Management. https://doi.org/10.1061/(asce)0733-9364(1990)116%3A3(533

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.