A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Contractor selection: a review of qualification and pre-qualification systems
The impact of contractor selection on construction project success has led to numerous studies on contractor selection. However, an up-to-date systematic review of contractor selection trend is still lacking. This study aims to fill the gap by reviewing published literature from 1990 to 2019. A desktop search was conducted under the ‘T/A/K (title/abstract/keyword)’ in Scopus search engine where 252 papers were identified. Based on a two-phase filtering approach, which included journal relevance assessment and article relevance assessment, 137 published papers within 22 journals were used for the study. The major finding was that the questions were raised on the suitability of selection criteria for appraising contractors and it was acknowledged that, choosing appropriate contractor selection criteria are affected by other factors hence can be regarded as a Multiple Criteria Decision Making problem suitable for machine learning tools. A major limitation of was that, even with the 137 reviewed papers, not all contractor selection-related papers were reviewed. The outcome of the study suggests a greater involvement of practitioners in model development and stimulates future studies that delve into the development of models to aid in selecting optimal contractor selection criteria for a particular project.
Contractor selection: a review of qualification and pre-qualification systems
The impact of contractor selection on construction project success has led to numerous studies on contractor selection. However, an up-to-date systematic review of contractor selection trend is still lacking. This study aims to fill the gap by reviewing published literature from 1990 to 2019. A desktop search was conducted under the ‘T/A/K (title/abstract/keyword)’ in Scopus search engine where 252 papers were identified. Based on a two-phase filtering approach, which included journal relevance assessment and article relevance assessment, 137 published papers within 22 journals were used for the study. The major finding was that the questions were raised on the suitability of selection criteria for appraising contractors and it was acknowledged that, choosing appropriate contractor selection criteria are affected by other factors hence can be regarded as a Multiple Criteria Decision Making problem suitable for machine learning tools. A major limitation of was that, even with the 137 reviewed papers, not all contractor selection-related papers were reviewed. The outcome of the study suggests a greater involvement of practitioners in model development and stimulates future studies that delve into the development of models to aid in selecting optimal contractor selection criteria for a particular project.
Contractor selection: a review of qualification and pre-qualification systems
Acheamfour, V. K. (author) / Adjei-Kumi, T. (author) / Kissi, E. (author)
International Journal of Construction Management ; 23 ; 338-348
2023-01-25
11 pages
Article (Journal)
Electronic Resource
Unknown
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