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Ünsal Altuncan, & and Tanyer, A M (2018) Context-Dependent Construction Conflict Management Performance Analysis Based on Competency Theory. Journal of Construction Engineering and Management, 144(12).

Alomari, K A, Gambatese, J A and Tymvios, N (2018) Risk Perception Comparison among Construction Safety Professionals: Delphi Perspective. Journal of Construction Engineering and Management, 144(12).

Chen, H, Hu, H, Tang, M, Yang, X and Zhu, J (2018) Hybrid Bored Prestressed Concrete Cased Piles: Equipment and Construction Procedures. Journal of Construction Engineering and Management, 144(12).

Leandro, R, O’Connor, J T and Khwaja, N (2018) Development and Application of a Production-Rate Resource for Contract Time Determination. Journal of Construction Engineering and Management, 144(12).

Lee, J I, Lee, H and Park, M (2018) Contractor Liquidity Evaluation Model for Successful Public Housing Projects. Journal of Construction Engineering and Management, 144(12).

  • Type: Journal Article
  • Keywords: Contractor decline model; Prequalification process; Liquidity evaluation; Construction management;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001569
  • Abstract:
    A contractor’s continued financial health throughout a construction project is a basic requirement for successful project completion. Therefore, project owners must be conversant with the contractor’s financial capability from the bidding stage through project completion. Consequently, project owners adopt a prequalification (PQ) process to screen for poor technical and managerial capabilities during the bidding stage. Although the PQ pass rate in Korea is nearly 99%, contractor liquidity can still pose problems. In this situation, the most important construction management strategy involves monitoring the contractor’s liquidity status during the project. Accordingly, this study determines the symptoms of contractor decline at the corporate and project levels. Nineteen variables (17 financial and two nonfinancial) are selected through a symptom analysis. Moreover, this study develops a liquidity evaluation model (LEM) and its reference mode based on equations obtained by performing multiple discriminate analyses. These results demonstrate the practical feasibility of project owners to evaluate contractor liquidity using financial and nonfinancial information to prepare for possible financial problems.

Mazher, K M, Chan, A P C, Zahoor, H, Khan, M I and Ameyaw, E E (2018) Fuzzy Integral–Based Risk-Assessment Approach for Public–Private Partnership Infrastructure Projects. Journal of Construction Engineering and Management, 144(12).

Moon, S, Yang, B and Choi, E (2018) Safety Guideline for Safe Concrete Placement Utilizing the Information on the Structural Behavior of Formwork. Journal of Construction Engineering and Management, 144(12).

Nguyen, A, Mollik, A and Chih, Y (2018) Managing Critical Risks Affecting the Financial Viability of Public–Private Partnership Projects: Case Study of Toll Road Projects in Vietnam. Journal of Construction Engineering and Management, 144(12).

Rafiei, M H and Adeli, H (2018) Novel Machine-Learning Model for Estimating Construction Costs Considering Economic Variables and Indexes. Journal of Construction Engineering and Management, 144(12).

Sepasgozar, S M E, Forsythe, P and Shirowzhan, S (2018) Evaluation of Terrestrial and Mobile Scanner Technologies for Part-Built Information Modeling. Journal of Construction Engineering and Management, 144(12).