Uncovering User Attitudes and Satisfaction Levels with HRMS Applications: Insights from Sentiment Analysis

Title

Uncovering User Attitudes and Satisfaction Levels with HRMS Applications: Insights from Sentiment Analysis

Creator

Srivastava J.; Priyadarsini K.

Description

This study examines employee perspectives on various features and specifications of Human Resource Management System (HRMS) applications, as expressed in online discussion boards. An in-depth literature review was conducted to identify key factors, followed by topic modeling on unstructured text data. Sentiment analysis using the Li-Hu method and a tweet profile helped gauge employee satisfaction with HRMS applications. The findings suggest a moderate level of satisfaction among users, offering insights for companies to enhance user interfaces and software development. By addressing negative attitudes and fostering positive ones, businesses can cultivate better relationships with users. This research also aids in identifying top-performing HRMS applications in the market, highlighting the features and specifications that set them apart from competitors. Overall, the study serves as a valuable resource for organizations aiming to improve their HRMS offerings and user experiences. 2024 IEEE.

Source

TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024

Date

2024-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Human Resource Management System (HRMS); NLP; NLTK; Sentiment analysis; User interface

Coverage

Srivastava J., Christ University, India; Priyadarsini K., Psgim, India

Rights

Restricted Access

Relation

ISBN: 979-835038427-7

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/TQCEBT59414.2024.10545119

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204496712&doi=10.1109%2fTQCEBT59414.2024.10545119&partnerID=40&md5=08c5b1fe32e69717bafe04c0cf155992