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035			_a.b12479299
099		9	_aAIT PJPR PMDS no.25-02
100	1		_aNguyen Hoang Anh
245	1	0	_aA task-segmented approach to employee productivity and KPI evaluation : _bsystem redesign and effectiveness assessment
260			_aPathum Thani, Thailand : _bAsian Institute of Technology, _c2025
300			_a60 leaves : _bill.+ _e1 online resource
490	1		_aProject ; _vno. PJPR PMDS-25-02
500			_aA project report submitted in partial fulfillment of the requirements for the Degree of Master of Science (Professional) in Data Science and Artificial Intelligence Applications
502			_aProject - Master of Science (Professional) - Asian Institute of Technology, 2025
520			_aThis 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.
650		0	_aLabor productivity _xMeasurement
650		0	_aOrganizational effectiveness
650		0	_aPerformance standards
650		0	_aBusiness intelligence
700	0		_aChutiporn Anutariya, _eChairperson
700	0		_aKantinee Katchabakirin, _eCo-chairperson
700	0		_aChantri Polprasert, _eExamination Committee
700	0		_aVatcharaporn Esichaikul, _eExamination Committee
710	2		_aAITCV Scholarship, _eScholarship Donor
810	2		_aAsian Institute of Technology. _tProject ; _vno. PJPR PMDS-25-02
856	4	0	_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B23686
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