107. Innovations in Public Service Process Management: Enhancing University Enrollment Through P-Graph Methodology
Invited abstract in session TC-4: P-graph Applications II., stream P-graph algorithms and applications.
Thursday, 12:00 - 13:30Room: C105
Authors (first author is the speaker)
| 1. | Boglárka Eisinger Balassa
|
| Department of Leadership and Marketing, Széchenyi István University | |
| 2. | László Buics
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| Department of Leadership and Marketing, Széchenyi István University0 |
Abstract
This study examines the efficiency of university enrollment processes within public services. We aimed to analyze administrators' workload during enrollment by observing their activities across different workload levels: low, average, and highly overloaded. We meticulously recorded the time spent on enrollment tasks and the frequency of revisiting individual cases. Utilizing the P-graph methodology allowed for precise optimization insights. Our results reveal that administrators often work overtime and face high turnover rates due to being overwhelmed during enrollment periods. We identified significant inefficiencies, with administrators struggling to meet work targets within regular hours. The P-graph methodology provided an unprecedented, detailed view of the process's optimal path and resource allocation, suggesting its application could extend to other public service processes. Our approach also included sitting with administrators to document the exact time spent on tasks and the frequency of revisiting documents, offering a precise evaluation of administrative efficiency and resource needs.
Keywords
- Optimization in industry, business and finance
Status: accepted
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