E-HRM: Learning approaches, applications and the role of artificial intelligence
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.4.45Keywords:
E-HRM, E-Learning, Artificial Intelligence, Information TechnologyDimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
E-HRM (Electronic Human Resources Management), which is derived from the concept of HRM (Human Resources Management) plays a significant role in automating certain key processes in the department of human resources. One of the modules of E-HRM is the training or the learning module, which when combined with a digital source turns out to be an E-Learning (Electronic Learning) or E-Training (Electronic Training) module. This is a transformation of converting the learning platform from an offline to an online mode. The organizations to increase their level of training from their employees should look for a fast-paced solution at a shorter turn-around time and the prime way to perform such a strategy is to automate the whole process of training and predict the training need and outcome. This research paper is focused on two aspects of e-learning i.e., how an e-learning system is collaborated with an intelligent system in the form of Artificial Intelligence and the other aspect is how an employee turn over data fetched from organizations in the IT (Information Technology) sector can help understand the real requirements of learning among employees in the IT organizations.Abstract
How to Cite
Downloads
Similar Articles
- Sowmya S. Marripalli, Madiwalayya S. Ganachari, Bhavana Doshi, A Questionnaire Study on Patient Knowledge, Attitude, and Perception of Topical Corticosteroid Abuse in a Dermatology Outpatient Department , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Anurag B. Gohain1, Devanand Mishra, Vithou U Mera, Content analysis of academic library website with special reference to the central universities in Northeast India , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Akshay J., G. Mahesh Kumar, B. H. Manjunath, Optimizing durability of the thin white topping applying Taguchi method using desirability function , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Finney D. Shadrach, Harsshini S, Darshini R, Grapevine leaf species and disease detection using DNN , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- S. Kumar, M. Santhanalakshmi , R. Navaneethakrishnan, Content addressable memory for energy efficient computing applications , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Jayalakshmi K., M. Prabakaran, The role of big data in transforming human resource analytics: A literature review , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Rajesh Kumar Singh, Abhishek Kumar Mishra, Ramapati Mishra, Hand Gesture Identification for Improving Accuracy Using Convolutional Neural Network(CNN) , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Reena Lawrence, Reena Lawrence, Kapil Lawrence, A NEW GLYCOSIDE FROM THE BUDS OF CLOVE GROWN IN NORTH INDIAN PLAINS , The Scientific Temper: Vol. 1 No. 01 (2010): The Scientific Temper
- Archana G, Vijayalakshmi V, Improving classification precision for medical decision systems through big data analytics application , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Karthik Gangadhar, Prem Kumar N, Neuroprotective activity of alcoholic extract of Operculina turpethum roots in aluminum chloride-induced Alzheimer’s disease in rats , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
<< < 12 13 14 15 16 17 18 19 20 21 > >>
You may also start an advanced similarity search for this article.