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International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
ISSN Online 2393-8021ISSN Print 2394-1588Since 2014
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← Back to VOLUME 12, ISSUE 5, MAY 2025

Strategic Optimization Of Work Allocation For Enhanced Employee Productivity

Vimal Raj M, Ms P Brindha

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Abstract: In today's dynamic and competitive business environment, maximizing employee productivity is a critical objective for organizations aiming to maintain a competitive edge. This paper explores the strategic optimization of work allocation as a means to enhance overall employee performance and organizational efficiency. By analyzing various task distribution models, workload balancing techniques, and employee skill mapping strategies, the study identifies key factors that influence effective work allocation. Leveraging data-driven decision-making and modern optimization tools, the research proposes a framework that aligns employee capabilities with task requirements, minimizes resource underutilization, and mitigates burnout risks. The findings highlight the importance of adaptive allocation systems that respond to real-time performance metrics and employee feedback. Ultimately, this study underscores the potential of strategic work allocation to foster a more motivated, efficient, and resilient workforce.

Keywords: Skill - Knowledge - Ability - Behaviour.

How to Cite:

[1] Vimal Raj M, Ms P Brindha, “Strategic Optimization Of Work Allocation For Enhanced Employee Productivity,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2025.125124

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.