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ZENODO
Journal . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Journal . 2026
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2026
License: CC BY
Data sources: Datacite
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Employee Management System

Authors: Nagaraj M Luthimath, Sanju D, Narayan Sharma and Shriram;

Employee Management System

Abstract

Managing employee information is a common challenge in organizations such as offices, educational institutions, and corporate environments. It often leads to inefficiencies, increased workload, and delays in administrative processes. Traditional employee management practices largely depend on manual records, paper files, and spreadsheet-based systems, which consume a lot of time, are poorly organized, and are prone to errors. Digital solutions used in some organizations still lack proper integration and security mechanisms, which results in data inconsistency, reduced efficiency, and concerns related to data privacy and access control. This paper describes the design and implementation of an Employee Management System that automates the handling of employee records and administrative activities under controlled access. A major goal of the system is to improve the efficiency of employee data management by using structured data organization and role-based access mechanisms for internal processing, while ensuring that secure and controlled information access is maintained. Through a web-based interface, administrators can manage employee records and users can view relevant information along with updated details. The system automatically processes employee data and supports operations such as record maintenance and reporting. Role-based authentication, centralized dashboards, and secure data storage are used in the implementation of the system to support a modern web-based architecture. Experimental usage of the system indicates that data accuracy has improved, manual administrative effort has been reduced, and system reliability has increased through controlled access and validation mechanisms. The proposed solution presents a scalable, secure, and efficient method for managing employee information and administrative operations in real-world organizational environments.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green