Promoting Performance of the Building Construction Industry through Risk Identification: A Case of Exchequer Funded Building Construction Projects in Machakos County, Kenya
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Project failure is an increasingly worrying challenge in Kenya. In implementation of exchequer funded building construction projects, the challenge is real. The study examined the influence of risk management practices on the performance of exchequer funded building construction projects in Machakos County. Little research has been conducted on risk identification and its influence on performance of exchequer funded building construction in Machakos County, this study intended to on build onto the already existing body of knowledge. The study was informed by Agency theory and it employed a descriptive survey research design. The target population was 585 National Construction Authority registered contractors and sample size was 232 respondents. In this case the sample selected is deemed to be representative enough of the whole population and therefore valid and genuine generalizations can be made. Methodology involved in collection and analysis of primary data. Descriptive and inferential statistics were used to analyze data. Quantitative data was tabulated and analyzed using frequencies, percentages, means and standard deviation. Test statistics computed to establish degree of relationship between the variables was Fisher test. The findings depict that risk identification leads to the performance of exchequer funded building construction Projects by factor of 0.237 with P values of 0.008. At 5% level of significance and 95% level of confidence, this is statistically significant as the P-Value is lower than 0.05. The results for testing the hypothesis were (P=0.008<0.05)as the P-Value is lower than 0.05. The study therefore rejects the null hypothesis. The study concludes that there is significant positive relationship between that risk identification leads to the performance of exchequer funded building construction Projects. Further research can be done to assess the risk identification in other county governments and national government projects in Kenya and other countries in order to establish whether the explored factors can be generalized to influence the performance of exchequer funded building construction Projects. The findings of this paper will be used to serve as a longer-term safeguard against risks in construction of buildings in Kenya.
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References
-
Akintoye, A. S. (2017). Risk analysis and management in construction. International Journal ofProject Management, 15(1), 31–38.
Google Scholar
1
-
Ali, A. S. &Kamaruzzaman, S. N. (2010). Cost Performance for Building ConstructionProjects in Klang Valley. Journal of Building Performance.
Google Scholar
2
-
Babbie. (2012). The Practice of Social Research. (1. Edition, Ed.) Cengage Learning.
Google Scholar
3
-
Babbie, E. R. (2012). The Practice of Social Research. (1. Edition, Ed.) Cengage Learning.
Google Scholar
4
-
Bank, W. (2012). World Development Indicators, Washington, D.C. World Bank Publications .
Google Scholar
5
-
Bryman, A. (2016). Social Research Methods. London. (5. ed, Ed.) Oxford University Press.
Google Scholar
6
-
Chihuri, S. &. (2011). Managing Risk for Success in a South African Engineering and Construction Project Environment . South African Journal of Industrial Engineering , 21(2), 63 -77.
Google Scholar
7
-
Connaway, L. S., & Powell, R. R. (2010). Basic research methods for librarians . Littleton, CO. (5thed, Ed.) Libraries Unlimited.
Google Scholar
8
-
Forbes, D. S. (2015). Tools for selecting appropriate risk management techniques in the built environment . Construction Management and Economics, Vol. 26(11): 1241-1250.
Google Scholar
9
-
Goh, D. S.-R. (2013). The Identification and Management of Major Risks in the Malaysian Construction Industry. Journal of Construction in DevelopingCountries, 18(1), 19-32.
Google Scholar
10
-
Gray, C. F. (2010). Project Management . (4. edition, Ed.) The Managerial Process McGraw-Hill/Irwin .
Google Scholar
11
-
Hamimah. (2014). An assessment of risk management in joint venture (JV) in Malaysia. Asian Social Science, 4(6), 99-106.
Google Scholar
12
-
Jensen, M. and Meckling, W. . (1976). Theory of the firm: managerial behavior, agency costs and ownership structure. Journal of Financial Economics, 3, 305–360.
Google Scholar
13
-
Kikwasi, G. J. (2014). Causes and Effects of Delays and Disruptions in Construction Projects in Tanzania. Australasian Journal of Construction Economics and Building,Conference Series, 1(2), 52-9.
Google Scholar
14
-
Kothari, C. R. (2009). Research Methodology: Methods and Techniques. New Delhi: . New Age Publications.
Google Scholar
15
-
Kuang, Z. (2011). Risk Management in Construction Projects. Application of Risk Management in Construction Period. Bachelor of Architectural Technology and Construction Management.
Google Scholar
16
-
Mahendra et al. (2013). A Study of Risk Management Techniques for Construction Projects in Developing Countries. International Journal of Innovative Technology andExploring Engineering (IJITEE) , 3, 5.
Google Scholar
17
-
Mandere, A. N. (2006). A Survey of Quality Management Practices in the Large KenyanBuilding Construction Firms, Unpublished MBA Thesis, University of Nairobi,Nairobi, Kenya.
Google Scholar
18
-
Merna, T. a.-T. (2013). Corporate risk management. an organizational perspective.
Google Scholar
19
-
Morano C.A.R et al. (2013). , Martins C.G, Ferreira M.L.R , ‘Application of techniques for the identification of risk in the E & P ventures. Engevista, 8(2),120-133..
Google Scholar
20
-
Mugenda, O. M., &Mugenda, A.G. (2009).ResearchMethods.QualitativeandQuantitativeApproach.Nairobi: Acts Press.
Google Scholar
21
-
Nyangilo, A. O. (2012). An assessment of the organization structure and leadership effects on construction projects' performance in Kenya: a case study of public building projects within Nairobi region, Thesis. University of Nairobi
Google Scholar
22
-
Okogbuo, F. U. ( 2015). Project Risk Management Issues in the Nigerian Construction Industry. International Journal of Engineering and Technical Research (IJETR), 3(1): 217-232. .
Google Scholar
23
-
Radya, S. &. (2019). Managing production profile uncertainties in P field LLP project economic evaluationusing factorial design. Journal of Administrative and Business Studies, 5(2), 99-109.
Google Scholar
24
-
Raz, T. a. (2010). Use and benefits of tools for project risk management. International Journal of Project Management , Vol. 19(1): 9-17.
Google Scholar
25
-
Saunders, M., Lewis, P. &Thornhill, A. (2007). Research Methods for Business Students, .
Google Scholar
26
-
Serpella, A. F. (2014). Risk management in construction projects. Aknowledge-based approach.Procedia - Social and Behavioral Sciences, 119, 653–662.
Google Scholar
27
-
Smith, C. S. (1985). The Determinants of Firm's Hedging Policies. Journal and Quantitative Analysis, Vol. 20, No. 4, pp. 391-405.
Google Scholar
28
-
Subramanyan, H. S. ( 2012). Construction project risk assessment: Development of modelbased on investigation of opinion of construction project experts from India. Journal of Construction Engineering and Management, 138(3), 409–421.
Google Scholar
29
-
Taroun, A. (2014). Towards a better modelling and assessment of construction risk: Insights from a literature review. International Journal of Project Management, 32(1), 101–115.
Google Scholar
30
-
Tchankova, L. (2012). Risk identification: basic stage in risk management. Environmental Management and Health, 13(3):290-297. Towers Perrin. Towers Perrin Risk and .
Google Scholar
31
-
Ugwu, M. C. (2019). Evaluation of risk management practice in the Nigeriaconstruction industry. Modular and Offsite Construction (MOC) Summit Proceedings, 373–380.
Google Scholar
32
-
Yamo, J. (2006). Strategic Planning and Performance of Civil Engineering ConstructionFirms in Nairobi, Unpublished MBA Thesis, University of Nairobi, Nairobi, Kenya.
Google Scholar
33
-
Zeng, J. A. (2018). Application of a fuzzy based decision making methodology to constructionproject risk assessment. International Journal of Project Management, 25(6), 589–600.
Google Scholar
34
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