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Comprehensive analysis of state-of-the-art contractor selection models in construction environment-A critical review and future call

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  • Khoso, Ali Raza
  • Yusof, Aminah Md
  • Chen, Zhen-Song
  • Skibniewski, Mirosław J.
  • Chin, Kwai-Sang
  • Khahro, Shabir Hussain
  • Sohu, Samiullah

Abstract

This paper presents the analysis of contractor selection (CS) models from the perspective of critical review. A comprehensive analysis of contemporary CS models is conducted in the context of model criteria, decision-making techniques, and selection mechanisms. The major aim of this analysis is to probe the shortcomings in the precedent selection models and further to overcome the reservations with exhortation. The authors retort the interrogations from the review of articles from the last two decades. The study compiles the major chunk of the model's classifications in the frame of their purposes and the drawbacks of current models to enlighten the work. It is concluded from the analysis, observations, and critical understating of reviewed models that owing to several shortcomings in those models, comprehensive research is required to develop easier and user-friendly models that sound practical on the ground. The future call in terms of appropriateness, suitability and simplicity, and applicability and adaptability terms is a novel and interesting approach for future CS models.

Suggested Citation

  • Khoso, Ali Raza & Yusof, Aminah Md & Chen, Zhen-Song & Skibniewski, Mirosław J. & Chin, Kwai-Sang & Khahro, Shabir Hussain & Sohu, Samiullah, 2022. "Comprehensive analysis of state-of-the-art contractor selection models in construction environment-A critical review and future call," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
  • Handle: RePEc:eee:soceps:v:79:y:2022:i:c:s0038012121001294
    DOI: 10.1016/j.seps.2021.101137
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    1. Xun Liu & Dexin Liu & Mengyu Xu, 2023. "An Extended Theory of Planned Behavior to Explain General Contractors’ Long-Term Cooperation Intentions in Construction Projects: Empirical Evidence from China," Sustainability, MDPI, vol. 15(9), pages 1-17, April.

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