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A framework to dynamic identification of project risks

Farzaneh Moshtaghian (Department of Project and Construction Management, Faculty of Architecture, University of Tehran, Tehran, Iran)
Mahmood Golabchi (Department of Project and Construction Management, Faculty of Architecture, University of Tehran, Tehran, Iran)
Esmatullah Noorzai (Department of Project and Construction Management, Faculty of Architecture, University of Tehran, Tehran, Iran)

Smart and Sustainable Built Environment

ISSN: 2046-6099

Article publication date: 25 March 2020

Issue publication date: 11 December 2020

513

Abstract

Purpose

Merging and updating project information and recording changes can give dynamic risk identification at all stages of the project. The main purpose of this research is to create an integration in construction information.

Design/methodology/approach

In this research, the 5D model was prepared and then all model information was entered into the database designed in SQL Server, the project report tables were coded, and finally, a database with four groups of information was ready for risk identification.

Findings

Creating an integrated risk identification platform reduced rework and time and cost control and change management, which were positive effects of risk identification at the right time.

Research limitations/implications

In order to identify risks, creating multilateral databases whose information integration enables timely completion of the project and compliance with the planning.

Practical implications

This research is the basis for identifying project risks within the framework of building information modeling and can be an effective contribution to increasing the risk-taking efficiency of the project.

Originality/value

As a matter of fact, marked time and cost are terrific motivating forces for the building industry, materializing with identify risk well-time. In any case, identifying risk engaged with all of the dimensions depend on this industry.

Keywords

Citation

Moshtaghian, F., Golabchi, M. and Noorzai, E. (2020), "A framework to dynamic identification of project risks", Smart and Sustainable Built Environment, Vol. 9 No. 4, pp. 375-393. https://doi.org/10.1108/SASBE-09-2019-0123

Publisher

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Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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