Challenges of Implementing Construction Projects in Developing Countries: A Case Study of Uganda

2012 ◽  
Author(s):  
Stephen Nyende-Byakika
2016 ◽  
Vol 23 (1) ◽  
pp. 125-136 ◽  
Author(s):  
Roya DERAKHSHANALAVIJEH ◽  
Jose Manuel Cardoso TEIXEIRA

Cost overrun in construction projects is a common issue affecting project performance, and Gas-Oil con­struction projects in Iran are no exception. This paper presents the results of a questionnaire conducted to identify and evaluate the relative importance of the significant factors contributing to the Gas-Oil construction industry of Iran as a case study for developing countries. The survey respondents included project owners, contractors and consultants in­volved in Iranian Gas-Oil construction projects. The results of the survey revealed that the main causes of cost overrun in this industry include inaccurate cost estimations, improper planning, frequent design changes, inadequate labour/skill availability, inflation of costs of machinery, labour, raw material and transportation prices. The first three factors are the project consultants’ responsibility and the appointment of qualified consultants and personnel training are strongly recommended to alleviate cost overrun. The paper also reviews and compares findings of a set of similar researches in a number of developing countries.


Author(s):  
Nguyen Le ◽  
Oswald Chong ◽  
Kenneth Sullivan

Most construction projects in the developing countries are marred with delays, cost overruns and low satisfaction levels. This paper focuses on analysis of the data collected from a survey that include the twenty-three (23) common risk factors that cause non-performance in construction projects in developing countries. The factors were consolidated from an extensive literature review, and inputs were solicited from 103 construction practitioners in Vietnam. The study reveals the top five risk factors as the bureaucratic administrative system, financial difficulties of owner, slow payment of completed works, poor contractor performance, financial difficulties of contractor. Spearman’s rank-order correlation tests determined no significant differences between the participating groups. Factor analysis explored the correlations among the risks and yielded four outcomes – Lack of Site and Legal Information, Lack of Capable Managers, Poor Deliverables Quality, and Owner’s Financial Incapability. The findings lay the foundation for stakeholders in the developing countries’ construction industry to better plan and manage the risks for their projects and investment and develop innovative solutions to improve their construction project performances.


2019 ◽  
Vol 26 (4) ◽  
pp. 1210-1232 ◽  
Author(s):  
Timothy O. Olawumi ◽  
Daniel W.M. Chan

Purpose The purpose of this paper is to explore building information modeling (BIM) implementation and practices in developed economies by developing a benchmarking model that will enhance BIM adoption and implementation in developing countries. Design/methodology/approach The research design adopted a qualitative approach which includes the desktop review of the extant literature as well as case study reviews of ten BIM projects using an explanatory case study technique to form the foundation upon which the study proposed the model. The moving basis heuristics technique was adopted to develop the scoring system. Findings The BIM benchmarking model and assessment template were developed which consisted of three-level concepts modeled to aid project organizations and project team in developing countries to assess and score the level of improvement and implementation of BIM in a project. A desktop review of BIM projects in developed countries demonstrated the significant improvements and benefits possible through the implementation of the established BIM benchmarking model. Practical implications The assessment template in conjunction with the benchmarking model is useful for a comparative evaluation of similar BIM projects and benchmarking purposes. The study also discussed how current findings extends and contradicts previous findings. Originality/value The findings have provided policymakers, construction stakeholders and professional bodies in the construction industry in developing countries with valuable insights and counter-intuitive perspective that could facilitate the uptake of BIM in construction projects.


2022 ◽  
Vol 38 (1) ◽  
Author(s):  
M. K. S. Al-Mhdawi ◽  
Mario P. Brito ◽  
Mohamad Abdul Nabi ◽  
Islam H. El-adaway ◽  
Bhakti Stephan Onggo

2004 ◽  
Vol 22 (7) ◽  
pp. 553-561 ◽  
Author(s):  
Nguyen Duy Long ◽  
Stephen Ogunlana ◽  
Truong Quang ◽  
Ka Chi Lam

2019 ◽  
Vol 13 (4) ◽  
pp. 846-861 ◽  
Author(s):  
Mukhtar A. Kassem ◽  
Muhamad Azry Khoiry ◽  
Noraini Hamzah

Purpose This study aims to investigate the risk factors in construction projects in oil and gas processing facilities in Yemen and serves as a case study for developing countries. Design/methodology/approach By using a questionnaire, data were collected from 201 project managers and engineers employed in different sectors in the oil and gas industry in Yemen. Findings The survey analysis based on Kruskal–Wallis test method shows a high degree of agreement on the perceptions of risk factors depending on categories of companies. In other words, the tested risk factors exist in all sectors of oil companies in Yemen and are valid as a measure of risk factors in construction projects in oil and gas organizations in general. Although no evidence suggests that the risk factors differ significantly according to job title, the result of identifiable risk factors according to experience shows a statistically significant difference among participants in terms of their experience. The relative importance of the ranking of risk factors was obtained by the statistical analysis of responses on the impact and likelihood of occurrence of these risks. Findings show that internal risks are the greatest influential factors in construction projects in the oil and gas sector, followed by changes during construction project, government instability, incorrect project cost estimation, government delay in decision making, incorrect project schedule estimation, and political situation and war in the country. Originality/value These findings are valuable to organizations that are planning to conduct construction projects for oil and gas processing facilities in Yemen and other nations with similar environments, such as developing countries.


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