Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{192421,
author = {Dr. Breeze Tripathi},
title = {An Analytical Study of Time Management, Workload Distribution, and Their Influence on Job Performance of Office Administrative Personnel},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {9},
pages = {1684-1693},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=192421},
abstract = {This study examines the influence of time management and workload distribution on the job performance of office administrative personnel. Using a quantitative and analytical research approach, primary data were collected from 200 administrative employees working in educational institutions, corporate offices, and service organizations through a structured questionnaire based on a five-point Likert scale. Time management and workload distribution were treated as independent variables, while job performance was considered the dependent variable. The data were analyzed using descriptive statistics, correlation analysis, and graphical techniques to identify patterns and relationships among variables. The findings reveal that effective time management has a positive and significant relationship with job performance, indicating that planning, prioritization, and deadline management enhance administrative efficiency. Conversely, workload imbalance, particularly excessive task load and overtime, shows a negative association with job performance. The study highlights the need for organizations to promote effective time management practices while ensuring equitable workload distribution to improve productivity and employee well-being. The research offers practical insights for organizational policy formulation and administrative performance improvement.},
keywords = {Time Management; Workload Distribution; Job Performance; Office Administrative Personnel; Organizational Efficiency; Data Analytics},
month = {February},
}
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