UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 7 | July 2025

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Published in:

Volume 8 Issue 8
August-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2108683


Registration ID:
554594

Page Number

f625-f638

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Title

Implementing Chatbots in HR Management Systems for Enhanced Employee Engagement.

Abstract

The integration of chatbots in Human Resource (HR) Management Systems (HRMS) represents a transformative shift towards enhancing employee engagement and streamlining HR operations. This paper explores the implementation of intelligent chatbots to automate routine HR tasks, thus improving efficiency and promoting a more responsive and personalized employee experience. HRMS traditionally involves managing vast amounts of data related to recruitment, employee performance, training, benefits, and payroll. However, manual intervention in these areas can lead to inefficiencies, errors, and delays. The introduction of chatbots in HRMS addresses these challenges by providing real-time communication, instant access to information, and personalized assistance. Chatbots powered by Natural Language Processing (NLP) and Artificial Intelligence (AI) can assist employees with tasks such as leave management, benefits queries, performance feedback, and policy clarifications, reducing the burden on HR personnel and ensuring timely responses. Furthermore, these intelligent systems can engage employees through regular feedback, surveys, and automated reminders, contributing to a more engaged workforce. By automating administrative tasks, HR departments can focus on strategic initiatives that drive organizational growth. The paper highlights the key benefits of chatbot integration in HR systems, such as improved operational efficiency, enhanced employee satisfaction, and a positive organizational culture. Challenges in chatbot implementation, including data security concerns and the need for continuous learning and adaptation, are also addressed. Ultimately, this research underscores the potential of chatbots as a tool for fostering a more engaged, productive, and satisfied workforce in modern organizations.

Key Words

Chatbots, HR Management Systems, employee engagement, automation, Artificial Intelligence, Natural Language Processing, HR operations, employee satisfaction, performance management, organizational efficiency.

Cite This Article

"Implementing Chatbots in HR Management Systems for Enhanced Employee Engagement.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 8, page no.f625-f638, August-2021, Available :http://www.jetir.org/papers/JETIR2108683.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Implementing Chatbots in HR Management Systems for Enhanced Employee Engagement.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 8, page no. ppf625-f638, August-2021, Available at : http://www.jetir.org/papers/JETIR2108683.pdf

Publication Details

Published Paper ID: JETIR2108683
Registration ID: 554594
Published In: Volume 8 | Issue 8 | Year August-2021
DOI (Digital Object Identifier):
Page No: f625-f638
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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