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Aramali, V, Gibson, G E, El Asmar, M and Sanboskani, H (2023) Novel earned value management system maturity framework and its relation to project performance. Journal of Construction Engineering and Management, 149(06).

Arora, J, Kar, S and Jha, K N (2023) Assessment of the significance of identified attributes affecting the rebar-fixing productivity using multiple regression. Journal of Construction Engineering and Management, 149(06).

Asadi, R, Rotimi, J O B and Wilkinson, S (2023) Analyzing underlying factors of rework in generating contractual claims in construction projects. Journal of Construction Engineering and Management, 149(06).

Hsu, C L, Wang, J T and Huang, Y H (2023) A functional element-naming approach for BIM elements in building envelope systems. Journal of Construction Engineering and Management, 149(06).

Karamoozian, A, Wu, D and Luo, C (2023) Green supplier selection in the construction industry using a novel fuzzy decision-making approach. Journal of Construction Engineering and Management, 149(06).

Long, W, Wang, X, Liang, Y and Ye, K (2023) Characteristics of collusive practices in bidding: Mixed methods study in China. Journal of Construction Engineering and Management, 149(06).

  • Type: Journal Article
  • Keywords: China; collusive bidding; construction business; significance test; text mining
  • ISBN/ISSN: 0733-9364
  • URL: http://doi.org/10.1061/JCEMD4.COENG-12938
  • Abstract:
    Over the past decade, collusive bidding has become more complicated with the development of economies and computer technologies. Understanding the emerging characteristics of collusive bidding helps antitrust authorities advance countermeasures to mitigate such illegal business competition. This study extracted data from 2,007 court judgment documents in China through text mining techniques. Using two-dimensional factors (i.e., project- and colluder-related factors), we performed an effect size-based significance test to demonstrate the new features of collusive practices. The study found that the larger the project size, the more complex the collusive bidding process. In addition, frequent communication between those collusive bidders stemming from adjacent provinces boosts the similarity of collusive biddings between regions. Furthermore, the study disclosed that senior colluders are more intended for those challenging collusive practices. The findings shed some light on feature determination when developing intelligent collusion detectors and offer implications for preventing collusive bidding.

Nguyen, T Q, Yeoh, J K W and Angelia, N (2023) Predicting percent plan complete through time series analysis. Journal of Construction Engineering and Management, 149(06).

Rathnayake, A and Middleton, C (2023) Systematic review of the literature on construction productivity. Journal of Construction Engineering and Management, 149(06).

Tao, Y, Hu, H, Xu, F and Zhang, Z (2023) Ergonomic risk assessment of construction workers and projects based on fuzzy Bayesian network and D-S evidence theory. Journal of Construction Engineering and Management, 149(06).

Tarekegn Gurmu, A (2023) Preconstruction phase management practices enhancing labor productivity in multistory building projects. Journal of Construction Engineering and Management, 149(06).

Tatari, A (2023) Simulating cost risks for prefabricated construction in developing countries using Bayesian networks. Journal of Construction Engineering and Management, 149(06).

Wang, Y, Chen, L and Zhuang, J (2023) Pricing of credit default swaps from the perspective of credit enhancement in PPP projects. Journal of Construction Engineering and Management, 149(06).

Zhang, W, Zhang, H and Yu, L (2023) Collaborative planning for stacking and installation of prefabricated building components regarding crane-collision avoidance. Journal of Construction Engineering and Management, 149(06).