EFFECTIVE CRITERIA FOR SELECTING DELAY ANALYSIS METHODOLOGIES FOR CONSTRUCTION PROJECT IN ABU DHABI

This paper examines the effective criteria to determine the capable delay analysis methodologies by the contractors for the construction’s claim in Abu Dhabi. The previous research was argued that 50% of the construction projects in UAE encounter delays and are not completed on time. Selecting the delay analysis methodology is a significant part of the claim process. Numerous delay analysis techniques used in the UAE, and constitute several factors. Thus, the selection practice is more significant to identify the delays. Contractor’s analyst consumed exaggerated time and effort to show their right using delay analysis methodologies (DAMs) and submit this as an extension of time claim, demanding to make the most of their benefits. The aim of this study contains exploring the selection of the delay analysis methodologies by the contractors for the construction’s claim in Abu Dhabi. In this regard, five case studies were selected on the basis that they represent examples for application of the delay analysis methods and techniques for the residential building. The respondents were selected from five projects and the interviews were held with the Contractor of each project. The collected Qualitative Data was analysed manually by using Thematic Analysis. The study found that the effective criteria for determining the delay analysis methodologies lie in its acceptance in court and as per contractual requirements. Furthermore, the factors influence the selection of the effective criteria for determining the delay analysis methodologies are the acceptance of the selected delay analysis method /technique, realistic results and accuracy of the delay analysis method /technique. However, the findings from this study become more important, if more studies are conducted to extend the exploring of the different delay analysis methodologies used by the contractors for the construction’s claim for wide range of projects in Abu Dhabi.