03289nam a2200385 a 4500 20260817161324.0 260224s20259999th mm 000 0 eng d .b12479299 AIT PJPR PMDS no.25-02 Nguyen Hoang Anh A task-segmented approach to employee productivity and KPI evaluation : system redesign and effectiveness assessment Pathum Thani, Thailand : Asian Institute of Technology, 2025 60 leaves : ill.+ 1 online resource Project ; no. PJPR PMDS-25-02 A project report submitted in partial fulfillment of the requirements for the Degree of Master of Science (Professional) in Data Science and Artificial Intelligence Applications Project - Master of Science (Professional) - Asian Institute of Technology, 2025 This research addresses the limitations of the current Productivity and Quality Measurement System (NSCL) at VNPT Hanoi{u2019}s Information Operation Center (IOC), which relies on a legacy SQL-based database. The existing system suffers from rigid data structures, oversized and inconsistent job catalogs, lack of task segmentation, manual data entry for high-frequency operations, and the absence of real-time dashboards. These weaknesses result in unfair employee evaluations, operational inefficiencies, and limited decision-making support.The study aims to design and implement an improved, task-segmented evaluation framework that ensures fairness, consistency, and transparency. Using 2024 operational records from six departments, the research employs a mixed-methods approach: quantitative data analysis, qualitative interviews, and benchmarking against international standards such as ISO 9001, Lean IT, and TM Forum eTOM. The proposed system integrates MongoDB for flexible data modeling, task segmentation for fair scoring, and Business Intelligence dashboards for real- time KPI monitoring.Expected contributions include a standardized job catalog, a scalable database architecture, automation of repetitive tasks, and a unified KPI evaluation model that combines organizational objectives with task-based performance. The framework also establishes data governance mechanisms to enhance data integrity and proposes predictive analytics as a future extension to identify low performance early. Labor productivity Measurement Organizational effectiveness Performance standards Business intelligence Chutiporn Anutariya, Chairperson Kantinee Katchabakirin, Co-chairperson Chantri Polprasert, Examination Committee Vatcharaporn Esichaikul, Examination Committee AITCV Scholarship, Scholarship Donor Asian Institute of Technology. Project ; no. PJPR PMDS-25-02 Full-Text http://203.159.5.9/ait-thesis/detail.php?q=B23686 .b12479299 mnarc a 260317 0 260310 m h a 0 mnarc 67 Barcode : - CREATED : 2026-02-24 RECORD # : i13576276 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 847 847 0 0 0 0 MAIN MAIN mnarc 2026-08-17 0 AIT PJPR PMDS no.25-02 2026-08-17 16:13:24 1 2026-08-17 67