PRACTICAL APPLICATION OF RISK MANAGEMENT TECHNIQUES IN INFRASTRUCTURAL DELIVERY: A CASE STUDY OF GHANAIAN CONSTRUCTION INDUSTRY
Main Article Content
Keywords
Risk Management, Uncertainties, Deterministic Methods, Expert Judgment, Knowledge Areas.
Abstract
Risk is seen as the chance of something happening that will have an impact on the achievement of the objectives of an organization or a project. Risk management is a key project management knowledge area and a tool applicable in management of project uncertainties. Project professional acquire knowledge through education or experience through practice. In their daily decision making process, practitioners rely on their expert judgment, past experience, intuition, acquired and accumulated knowledge and gut feelings to make decisions, the absence of risk management which possess a great level of uncertainty. The paper discusses some theories related to risk management, the risk management process
and unveils the extent of application of risk management techniques by professionals in the infrastructural and development industry to achieve project success. The research is based on the mixed method: qualitative and quantitative approach. Analysis of structured questionnaire distributed to professionals in the built environment indicates that some 71% of built environment professionals have no knowledge about risk management theories and techniques with only 6.2% of respondents have applied a risk management tool before in their professional practice. The paper concludes by recommending that some key project management knowledge areas be included in curricula of built environment programmes to
enhance professional responsibility through rather than relying on experience alone. Thus if the deficit in infrastructural development is to be closed, the key agents of infrastructural development must be abreast with effective technological knowhow through varying risk techniques.
Article Metrics Graph
References
Standards Australia. Homebush, NSW.
AS/NZS 4360 (1995) Risk management. Standards Australia. Homebush, NSW
Ali Rashed (2005), The application of risk management in infrastructural construction
projects,
Journal of Cost Engineering Vo. 47/No. 8 pp 20—27
Baccarini, David. (2006): The Maturing Concept of Estimating Project Cost Contingency – A
Review, in Runeson, Goran and Best, Rick (ed), AUBEA conference 2006, Jul 11 2006.
University of Technology, Sydney: University of Technology, Sydney.
Crowe, Andy, (2006), “How to pass your PMP on your first try, Velociteach
Clark F.D and Lorenzoni A B (1985), Applied Cost Engineering. New York: M. Dekker
Danso A.K, Fugar, F.D.K, (2009), “Capacity-building in construction administration: Key to
effective utlisation of the district assembly common Fund for infrastructural
development”, Journal of the Ghanaian Surveyor, Vol 2, No. 1, pp 1-5.
Gunhan, S., and Arditi, D. (2007). “Avoiding change orders in Public school construction.”
J.Profl. Issues Eng. Educ.Pract., 133(1), 67-73.
Mendoza M and Gutierrez-Peia E (2002), Decision theory, working paper of the department
of
statistics ITAM
Minasian K. Naroujan and Jegeas E. George (2009), Prototype risk analysis for determining
contingency using approximate reasoning method, Journal Of Cost Engineering, Vol. 5/No. 1,
pp26-33
Nasirzadeh fernad, Afshar Abbas, Khanzah Mostafa, Howick Susan (2008), Integrating
system dynamics and fuzzy logic modeling for construction risk management, Construction
Management and Economics, Vol. 26, pp 1197-1212
Niklov Andrily, Victoria Uren, nrico Motta and Anne de Roeck (2008) Using the Dempster-
Shafer Theory of Evidence to Resolve a Box Inconsistencies, working paper, Knowledge
media Institute, The Open University, Milton Keynes, UK.
Park K. Hyung, Seung H. Han, Jeffery S. Russell (2005), “Cash Flow Forecasting Model For
General
Contractors Using Moving Weights Of Cost Categories”, Journal of Management in
Engineering, ASCE, 072-597X pp 164-172
Patrascu Anghel (1998), construction cost engineering hand book, Mercel Dekker Inc, New
York
Royal Society (1991) Report of the Study Group on risk: analysis, perception, and
management.
(Group Co-ordinator: Warner, Sir F.) The Royal Society. London