Examine the Effectiveness of Project Management Software in Enhancing Performance: A Case Study of the Lusaka Road Decongestion Project

Effective management of large-scale infrastructure projects requires accurate planning, resource allocation, and continuous monitoring. Project management software has become a critical tool for achieving these objectives by automating scheduling, budgeting, risk management, and reporting. Despite widespread adoption, the actual impact of these tools on project performance remains underexplored, particularly in the context of urban road infrastructure in Zambia. This study examines the effectiveness of project management software in enhancing project performance, using the Lusaka Road Decongestion Project as a case study, with a focus on efficiency, decision-making, and overall project outcomes. The study adopted an exploratory case study design, incorporating both qualitative and quantitative research methods. Data was collected from selected construction firms in Lusaka using structured questionnaires. Quantitative data was analyzed using STATA. Chi- square test was used to determine associations between variables like debt levels and business performance indicators. Thematic analysis was be applied to qualitative responses to identify common trends, challenges, and perspectives related to debt management practices. The Lusaka Road Decongestion Project primarily utilized Primavera P6, MS Project, and Civil 3D, with software adoption concentrated in planning and scheduling phases, daily use by core staff, and moderate team coverage. Software application most strongly influenced scheduling and budget control, improved time and cost efficiency, facilitated reporting, and reduced manual work, though its impact on risk management, quality, and communication was limited. Adoption faced significant human and financial constraints, with lack of trained personnel (40%) and high software costs (30%) being the main barriers, alongside occasional technical errors, partial software compatibility, usability challenges, and inconsistent technical support. While most project activities were tracked and core modules were used effectively, gaps remained in feature utilization, system integration, and meeting all project needs, highlighting that human capacity, software complexity, and organizational factors critically shaped the effectiveness and limitations of project management software in the LDP. The study concluded that project management software significantly improved planning, scheduling, and budgeting in the Lusaka Road Decongestion Project, enhancing efficiency and decision-making. However, its effectiveness was limited by inadequate training, software complexity, and poor integration. To maximize benefits, the study recommends continuous capacity building, improved system integration, simplified interfaces, and stronger technical and policy support. Gradual implementation, change management, and software customization to local project needs are essential for sustained performance improvement.