Management of project cost control and its impact on liquidity risk

Volume 1, Issue 8 - Serial Number 8
January 2020
Pages 64-84

Document Type : Research Article

Author

Student of Civil Engineering - Construction Management, Payame Noor University, Karaj Branch, , Iran

Abstract
Studies show that many of the problems and delays, costs incurred, and project deviations in projects have been predictable, planned, and evaluated. There is uncertainty in predicting the duration and initial cost of the project that using the value-added method with risk management together can show a more realistic picture of the project status to project implementers. The acquired value management system provides performance indicators by accurately measuring the progress of the project and making timely decisions to implement remedial measures. This paper analyzes the effect of cost management and control in a descriptive manner on liquidity indicators and risk control. The results indicate that the volume of liquidity is one of the main and important factors in increasing risk.

Keywords

Vandevoorde S, Vanhoucke Mario, "A comparison of different project duration forecasting methods
using earned value metrics", International journal of Project Management 64. 6666 : 634-866
Hillson, D. (6600). Dealing with business uncertainty. Unloaded from
http://www.riskdoctor.com/briefings
Lee, E., Park, Y. & Shin, J. (6664). Large engineering project risk management using a Bayesian belief
network, Expert Systems with Applications: An International Journal, v.86 n.8, 5336-5332,
Lipke W , "Schedule is Different", The Measurable News 6668(March) , 4-80
March. Baloi, P. & Price, A. (6668). Modelling global risk factors affecting construction cost
performance. International Journal of Project Management, 60(4), 660–664.
Perera, J. & Holsomback, J. (6665). An integrated risk management tool and process, Aerospace
Conference, 6665 IEEE , vol., no., pp.064-086, 5-06
Schieg, M. (6666). Risk Management in Construction Project Management. Journal of Business
Economics and Management, VII (6), 22-38.
Tah, J. y Carr, V. (6660). Knowledge-Based Approach to Construction Project Risk Management.
Journal of Computing in Civil Engineering,05(8), 026-022.
Tohidi, H. (6600). The Role of Risk Management in IT systems of organizations. Procedia - Computer
Science Journal, Vol. 8, pp.330-332.
Visser, K., & Joubert, P. (6663). Risk Assessment Modelling for the South African Construction
Industry. PICMET’63 Conference, Cape Town,South Africa،68-54
Wang, S., Dulaimi, M. & Aguria, Y. (6664). Risk management framework for construction projects in
developing countries. Construction Management and Economics, 66(8), 682-656.
  • Receive Date 02 January 2020
  • Accept Date 20 January 2020
  • First Publish Date 20 January 2020
  • Publish Date 22 December 2019