UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 9
September-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2309512


Registration ID:
525354

Page Number

f110-f117

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Title

A Study on Reliability Analysis for Sustainable HRM Using AI Tools

Abstract

Human Resource Management is imperative in this era. Proper management of HR, workplace policies with necessary measures and implementation could provide solutions to issues arising between team members and thereby minimizing the risk. When we are working with the multi item measures, we often estimate internal consistency reliability. In other words, internal consistency reliability tells us how consistent scores on different items are to one another. Through this paper using AI tools, we tried to infer that these consistency scores may lead to sustainable human resources management.

Key Words

Human Resource Management, AI Tools, Reliability, Multiitems

Cite This Article

"A Study on Reliability Analysis for Sustainable HRM Using AI Tools", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 9, page no.f110-f117, September-2023, Available :http://www.jetir.org/papers/JETIR2309512.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

"A Study on Reliability Analysis for Sustainable HRM Using AI Tools", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 9, page no. ppf110-f117, September-2023, Available at : http://www.jetir.org/papers/JETIR2309512.pdf

Publication Details

Published Paper ID: JETIR2309512
Registration ID: 525354
Published In: Volume 10 | Issue 9 | Year September-2023
DOI (Digital Object Identifier):
Page No: f110-f117
Country: Visakhapatnam, Andhra Pradesh, India .
Area: Management
ISSN Number: 2349-5162
Publisher: IJ Publication


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