Transforming Public Services Management: A P-Graph Methodology Case Study and Scenario Analysis

This study advances university enrolment optimization in Public Services Management towards sustainability, utilizing case studies, scenario analyses, and P-Graph methodology. The study evaluates administrative workloads across three intensity levels—low, average, and highly overloaded—and enhance our methodology by incorporating data that influences the process's inception and conclusion in all scenarios. Our research is further expanded with qualitative alongside quantitative methods for a thorough perspective. Our findings indicate substantial overtime and high turnover rates among administrators due to enrolment demands. The P-Graph methodology exposes significant inefficiencies and difficulties in meeting standard hour targets. It also reveals the optimal process flow and resource allocation, promoting its wider application in public service sectors for sustainable management practices. In collaboration with administrators to meticulously record task times and case revisits, the research offers an in-depth evaluation of administrative efficiency and resource utilization. The study concludes that managing an average enrolment of 4,200 students is inefficient for administrative employees, leading to high overtime rates that harm staff well-being. Our holistic approach, augmented with initial and final process impact data plus qualitative insights, highlights the P-Graph methodology's potential in transforming Public Services Management. This method not only enhances process efficiency and resource allocation but also aligns with sustainability objectives, marking a significant stride in sustainable public service practices.