Examining the Effectiveness of Risk Management Processes in Enhancing Project Completion and Overall. Case Study of ZAMTEL 5G Digital Project
Year: 2026
Type: article
Abstract: This study investigates the effectiveness of risk management processes in enhancing project completion and overall success in Zambia's IT sector, using ZAMTEL's 5G Digital Project as a case study. Grounded in PMBOK and Prospect Theory, the study employs a mixed-methods design, combining quantitative surveys (n=50) with qualitative interviews (n=25) to address three objectives: identifying predominant risk practices, evaluating their effects on completion, and ascertaining the relationship between processes and success. Findings indicate moderate adoption of qualitative practices like risk identification via brainstorming (mean 4.1) and stakeholder engagement (mean 4.0), but low use of quantitative analysis (mean 2.8) and fuzzy techniques (mean 2.9). These practices positively affect completion by reducing delays (mean 4.2) and cost overruns (mean 4.0), though inadequate management leads to rework (mean 4.3). The relationship is strong but moderated by leadership (mean 4.1-3.78, 70-72% agreement), organizational culture (mean 3.9), and external factors like political instability (mean 4.3), with Prospect Theory explaining loss-averse decisions (mean 3.5-3.6). Weak monitoring (mean 3.6-2.94) limits feedback loops (mean 3.28, 50% agreement), contributing to ZAMTEL's challenges, such as funding-related delays in 35 sites. The study concludes that while risk management enhances outcomes potentially cutting costs by 10-14% gaps in maturity and localization hinder full efficacy in Zambia's uncertain environment. Recommendations include advanced training, strengthened monitoring, leadership engagement, and hybrid frameworks to boost resilience. This research fills a gap in African-focused studies, offering practical insights for policymakers and practitioners to improve IT project success amid regional risks.
Authors: Rabecca Samboko, Lynn Kazembe
Institution: Information and Communications University
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W7125599536