QR Code Link : Type : Thesis Subject : Business, Marketing, International Trade Main Author : Rozlano Bin Muhamad Tobat Title : Risk Factors Affecting Infrastructure Development and Successful Completion of Construction Projects in Klang Valley Content Type : still image (rdacontent) Media Type : computer (rdamedia) Carrier Type : online resource (rdacarrier)

Place of Production : Kuala Lumpur Publisher : Tun Razak Graduate School Year of Publication : October 2024 Physical Description : ill, 106 pages Notes : Project Paper Submitted in Partial Fulfilment of the Requirements for the\r\nDegree of Master of Business Administration Corporate Name : UNIRAZAK Library PDF Full Text : Login required to access this item.

Abstract : UNIRAZAK Library

The constant problem in Malaysia is, it continues to face difficulty in executing projects efficiently and effectively. This research paper aims to examine the risk factors that significantly impact infrastructure development and the successful completion of construction projects in Klang Valley, Malaysia. The study prioritizes risk factors common in the Malaysian construction industry, focusing specifically on three key areas i.e., schedule risk, cost risk, and quality risk. The paper aims to explore the interdependencies among these risk factors and their cumulative impacts on project overall achievement. The methodology conducted for the research is by assessing the public perspective and perceptions with questionnaires in relation to these risk factors from 126 respondents. Several analyses were conducted, including demographic analysis, reliability testing, descriptive analysis, scatter plot analysis, correlation analysis, Q-Q testing, and multiple regression analysis. In the descriptive analysis, the standard deviations for all variables were below 1.0, indicating relatively consistent responses. A Cronbach's Alpha value exceeding 0.81 demonstrated good to excellent reliability for all variables. The scatter plot analysis revealed a straight-line pattern, confirming a linear relationship among all independent variables. The multiple regression analysis showed that the three independent variables collectively explained 54.9% of the variation in project success. In conclusion, the findings indicate that schedule and quality risk factors are the primary contributors to project success, while the cost risk factor had no significant impact. These results offer valuable insights for academic research and practical applications for industry professionals and other stakeholders.

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