Risk Identification and Management in Infrastructure Engineering Projects in Ethiopia

Abstract

This research proposal, submitted to Mekelle University, College of Business and Economics, Department of Management, explores risk identification and management in infrastructure engineering projects in Ethiopia. Infrastructure development is central to Ethiopia’s economic growth, yet projects such as roads, railways, and hydropower dams often face cost overruns, schedule delays, and compromised quality. A critical underlying cause is the absence of a systematic and context-sensitive risk management framework that incorporates both traditional risks (technical, financial, operational) and non-traditional risks (social security, community disputes). The study employs a mixed-methods design. Quantitative data are collected through structured questionnaires using a 5-point Likert scale, enabling statistical analysis and ranking of risks via the Relative Importance Index (RII). Qualitative insights are gathered through semi-structured interviews with project managers, engineers, contractors, and government officials in Addis Ababa, Oromia, and Amhara. Reliability is tested using Cronbach’s Alpha, while thematic analysis is applied to interview data. Findings highlight inflation, material shortages, community disputes, and theft of equipment as the most critical risks. Current practices are fragmented and often informal, with limited attention to social security risks. Barriers include insufficient data, budget constraints, skill gaps, and weak regulatory enforcement. The study contributes theoretically by extending conventional frameworks to include overlooked social risks, and practically by offering evidence-based recommendations for managers, policymakers, and investors. The proposed framework enhances resilience and efficiency in Ethiopian infrastructure delivery.