DETERMINANTS OF PROJECT IMPLEMENTATION DELAYS: CASE OF OIL AND GAS DEPOTS UPGRADE AT RUBiS ENERGY RWANDA

ABSTRACT: The study investigated determinants of project implementation delays: case of OIL and Gas Depots Upgrade at RUBiS energy Rwanda. The specific objectives were to examine how financial implications affects the oil and gas project implementation in Rwanda; the influence of infrastructure to the oil and gas project implementation delays in Rwanda; to explore the influence of regulatory framework to OIL and Gas Depots Upgrade projects; and the effectiveness of current project management practices in addressing delays to OIL and Gas Depots Upgrade project implemented at RUBiS energy Rwanda. Target population was 60 participants the projects of OIL and Gas Depots Upgrade at RUBiS energy Rwanda. The questionnaires were given to 52 respondents as sample size. Interview and documentary techniques have been used to collect data.  The analysis methods were descriptive statistic and multiple regression models. The results confirmed a significant and strong correlation between financial Implications and Oil and Gas projects implementation delays by r= 0.894. The results revealed very strong correlation between infrastructure factors and Oil and Gas projects implementation delays as shown by r= .917. Findings revealed that there is a significant very strong correlation between Regulatory features and Oil and Gas projects implementation delays as confirmed by r= .972. The results also show that there is very strong correlation between Project management practices and Oil and Gas projects implementation delays as stated by r= .952, with a p-value <0.01. The findings displayed those determinants of project implementation represented by project management practices, financial implications, infrastructure factors, regulatory features have contributed R=.974a of the variation in Oil and Gas projects implementation delays as explained by r2 of .949 indicates 94.9% in the model as very strong, as the independent variable very highly explained the dependent variable and show that the model is a very good prediction. 

Key words: project implementation; delays; financial implications; infrastructure; project management practices

DOI:
2024-01-09 12:58:44 Aime Patrick HABIMANA
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