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Construction delay risk taxonomy, associations and regional contexts

A systematic review and meta-analysis

Author(s):




Medium: journal article
Language(s): English
Published in: Engineering, Construction and Architectural Management, , n. 10, v. 26
Page(s): 2364-2388
DOI: 10.1108/ecam-07-2018-0307
Abstract:

Purpose

The purpose of this paper is to systematically develop a delay risk terminology and taxonomy. This research also explores two external and internal dimensions of the taxonomy to determine how much the taxonomy as a whole or combinations of its elements are generalisable.

Design/methodology/approach

Using mixed methods research, this systematic literature review incorporated data from 46 articles to establish delay risk terminology and taxonomy. Qualitative data of the top 10 delay risks identified in each article were coded based on the grounded theory and constant comparative analysis using a three-stage coding approach. Word frequency analysis and cross-tabulation were used to develop the terminology and taxonomy. Association rules within the taxonomy were also explored to define risk paths and to unmask associations among the risks.

Findings

In total, 26 delay risks were identified and grouped into ten categories to form the risk breakdown structure. The universal delay risks and other delay risks that are more or less depending on the project location were determined. Also, it is realized that delays connected to equipment, sub-contractors and design drawings are highly connected to project planning, finance and owner slow decision making, respectively.

Originality/value

The established terminology and taxonomy may be used in manual or automated risk management systems as a baseline for delay risk identification, management and communication. In addition, the association rules assist the risk management process by enabling mitigation of a combination of risks together.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1108/ecam-07-2018-0307.
  • About this
    data sheet
  • Reference-ID
    10576867
  • Published on:
    26/02/2021
  • Last updated on:
    26/02/2021
 
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