Authors :
Ishimwe Steven; Dr. Ruth Odengo; Tunezerwe Emmanuel
Volume/Issue :
Volume 11 - 2026, Issue 8 - August
Google Scholar :
https://tinyurl.com/4xuce9fc
DOI :
https://doi.org/10.38124/ijisrt/26aug1016
Note : A published paper may take 4-5
working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and
ResearchGate.
Abstract :
Project risk management is critical to the success of sustainability-oriented projects, particularly in the hospitality
sector where water conservation initiatives involve technical, financial, operational, and regulatory uncertainties. This study
examined the effect of project risk management on the success of the greywater recycling system at Radisson Blu Hotel &
Convention Centre, Kigali, Rwanda. Specifically, the study assessed the effects of risk identification, risk assessment, risk
mitigation, and risk monitoring on project success. A case study design supported by a mixed-methods approach was
adopted. Quantitative data were collected using structured questionnaires from 60 employees and professionals involved in
the system, while qualitative data were obtained through semi-structured interviews. Data were analyzed using descriptive
statistics, Pearson correlation, multiple linear regression, and thematic analysis.
Keywords :
Project Risk Management, Risk Identification, Risk Assessment, Risk Mitigation, Risk Monitoring, Greywater Recycling, Project Success.
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Project risk management is critical to the success of sustainability-oriented projects, particularly in the hospitality
sector where water conservation initiatives involve technical, financial, operational, and regulatory uncertainties. This study
examined the effect of project risk management on the success of the greywater recycling system at Radisson Blu Hotel &
Convention Centre, Kigali, Rwanda. Specifically, the study assessed the effects of risk identification, risk assessment, risk
mitigation, and risk monitoring on project success. A case study design supported by a mixed-methods approach was
adopted. Quantitative data were collected using structured questionnaires from 60 employees and professionals involved in
the system, while qualitative data were obtained through semi-structured interviews. Data were analyzed using descriptive
statistics, Pearson correlation, multiple linear regression, and thematic analysis.
Keywords :
Project Risk Management, Risk Identification, Risk Assessment, Risk Mitigation, Risk Monitoring, Greywater Recycling, Project Success.