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

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 1 | January 2026

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 13 Issue 1
January-2026
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2601182


Registration ID:
574326

Page Number

b553-b559

Share This Article


Jetir RMS

Title

AI Chatbots as Enablers of Effective Employee Onboarding

Abstract

Employee onboarding represents a critical juncture in the employment lifecycle, significantly influencing retention, productivity, and organizational culture integration. This research paper examines the transformative role of AI-powered chatbots in modernizing and enhancing the employee onboarding experience. Through analysis of recent implementations and scholarly discourse from 2024-2025, this study investigates how conversational AI technologies address traditional onboarding challenges, including information overload, scalability limitations, and inconsistent experiences. The findings reveal that AI chatbots facilitate personalized, accessible, and efficient onboarding processes while simultaneously reducing administrative burden on human resources teams. This paper explores the technological mechanisms underlying chatbot effectiveness, implementation strategies, measurable outcomes, and emerging challenges in this evolving domain. The research concludes that when strategically deployed, AI chatbots serve as powerful enablers of employee integration, though they function most effectively as complements to, rather than replacements for, human-centered onboarding practices.

Key Words

Artificial intelligence, chatbots, employee onboarding, human resources technology, organizational integration, conversational AI.

Cite This Article

"AI Chatbots as Enablers of Effective Employee Onboarding", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 1, page no.b553-b559, January-2026, Available :http://www.jetir.org/papers/JETIR2601182.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

"AI Chatbots as Enablers of Effective Employee Onboarding", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 1, page no. ppb553-b559, January-2026, Available at : http://www.jetir.org/papers/JETIR2601182.pdf

Publication Details

Published Paper ID: JETIR2601182
Registration ID: 574326
Published In: Volume 13 | Issue 1 | Year January-2026
DOI (Digital Object Identifier):
Page No: b553-b559
Country: Nagpur, Maharashtra, India .
Area: Management
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0007

Print This Page

Current Call For Paper

Jetir RMS