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Ahmed, M O, El-Adaway, I H and Caldwell, A (2024) Comprehensive understanding of factors impacting competitive construction bidding. Journal of Construction Engineering and Management, 150(04).
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0733-9364
- URL: http://doi.org/10.1061/JCEMD4.COENG-14090
- Abstract:
Construction competitive bidding has been studied by many researchers; however, their focus was mainly on certain bidding aspects. Thus, despite their value, existing bidding models have limited applicability for various reasons including the noninclusion of some real-life factors that impact bidding-related decisions. As such, there is a need for identifying a comprehensive list of bidding factors that impact construction bidding-related decisions, studying their associations, and identifying understudied factors to direct future research efforts. This paper fills this knowledge gap. First, the authors conducted a systematic selection of 124 construction bidding-related articles published within the past 40 years. Second, the authors identified a list of 43 bidding factors from the contractor's perspective and divided them into four groups (project, bidding environment, economy, and company) based on their characteristics and relevance. Thereafter, the authors implemented cluster analysis and social network analysis (SNA) to quantitatively analyze the level of inclusion, co-occurrence, and interconnectivity among the bidding factors and identify the gaps in the literature. Results of cluster analysis revealed that previous studies focused mainly on company-related factors, while economy-related factors were the least studied. Also, SNA outcomes highlighted that experience in similar project and availability and costs of rental labor/equipment/material are the most studied factors in theoretical discussions, while number of competitors and size of the project are the most investigated factors in developed models. Consequently, this paper identified understudied bidding factors, including company reputation level in the market, bidding method, bidding stages, and contractor's risk attitude. Thus, this paper contributes to the body of knowledge by promoting a comprehensive understanding of bidding-related factors and providing a road map for incorporating critical understudied bidding-related factors. This would minimize redundancies and maximize the effectiveness of future bidding-related research. Ultimately, this should provide better decision-making for all associated stakeholders.
Borhani, A, Borhani, A, Dossick, C S and Jupp, J (2024) An ontological analysis for comparison of the concepts of sustainable building and intelligent building. Journal of Construction Engineering and Management, 150(04).
Eissa, R, Nabi, M A and El-Adaway, I H (2024) Risk–reward share allocation under different integrated project delivery relational structures: A monte-carlo simulation and cooperative game theoretic solutions approach. Journal of Construction Engineering and Management, 150(04).
Gunduz, M, Sirin, O and Al Nawaiseh, H M (2024) Assessment of critical project success factors for management of pavement construction using the Delphi approach. Journal of Construction Engineering and Management, 150(04).
Guo, W, Lu, W, Kang, F and Zhang, L (2024) How to foster relational behavior in construction projects: Direct and mediating effects of contractual complexity and regulatory focus. Journal of Construction Engineering and Management, 150(04).
Husam, S, Laishram, B and Johari, S (2024) Framework to enhance gender inclusion of workers in construction sites. Journal of Construction Engineering and Management, 150(04).
Ishdorj, S, Ahn, C R and Park, M (2024) Major factors influencing safety knowledge-sharing behaviors of construction field workers: Worker-to-worker level safety communication. Journal of Construction Engineering and Management, 150(04).
Kaya, H D and Dikmen, I (2024) Using system dynamics to support strategic digitalization decisions. Journal of Construction Engineering and Management, 150(04).
Kim, Y and Ham, Y (2024) Revealing the impact of heat radiation on construction: A microclimate simulation using meteorological data and geometric modeling. Journal of Construction Engineering and Management, 150(04).
Lee, K and Hasanzadeh, S (2024) Understanding cognitive anticipatory process in dynamic hazard anticipation using multimodal psychophysiological responses. Journal of Construction Engineering and Management, 150(04).
Ma, S, Li, Z, Li, L, Zhang, S and Zheng, R (2024) Deciphering the key characteristics of on-site industrialized construction: Inspiration from China. Journal of Construction Engineering and Management, 150(04).
Pinheiro Santos Fernandes, P G, Elias Arantes, A and Ferreira Nobre Júnior, E (2024) Optimization model for earthwork allocations considering the construction of multiple haul roads: GIS-based integrated approach. Journal of Construction Engineering and Management, 150(04).
Rizaee, S and Lei, Z (2024) Duration estimation of a heavy industrial scaffolding project: A case study. Journal of Construction Engineering and Management, 150(04).
Salhab, D, Lindhard, S M and Hamzeh, F (2024) Simulation-based approximation of the gain from applying overlapping activities. Journal of Construction Engineering and Management, 150(04).
Vora, C, Aryal, A, Willoughby, S and Wang, C (2024) Investigating stakeholder perception and developing a decision framework for robot adoption in construction. Journal of Construction Engineering and Management, 150(04).
Wong, M O, Zhang, Z and Pan, W (2024) Multiuser virtual reality-enabled collaborative heavy lift planning in construction. Journal of Construction Engineering and Management, 150(04).
Xu, F, Nguyen, T and Du, J (2024) Augmented reality for maintenance tasks with chatgpt for automated text-to-action. Journal of Construction Engineering and Management, 150(04).
Zhang, Y, Xiao, B and Li, X (2024) Integrating virtual reality and consensus models for streamlined built environment design collaboration. Journal of Construction Engineering and Management, 150(04).