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
- Santosh T. Karmani, Sachin V. V. Acharekar, The impact of online degree programs on employment opportunities in contemporary India , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Ali Dakheel, Ismaeil Mammani, Jiyar Naji, The effect of human periodontal pathogenic bacteria on immediate basal implant placement: A comparative study in beagle dogs , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Shaheen Fatima, Priyanka Suryavanshi, Urban slum children in Lucknow: Exploring nutritional status and complementary feeding practices , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- S. Nagarani, Amalraj P., Lakshay Phor, Nishank S. Pimple, Banashree Sen, Ramaprasad Maiti, Vikas S. Jadhav, Innovative technological advancements in solving real quadratic equations: Pioneering the frontier of mathematical innovation , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Ravi Chaware, Sajid Anwar, Sunil Prayagi, Thermoelastic response of a finite thick annular disc with radiation-type conditions via time fractional-order effects , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Sudheer Choudari, K. Rajasekhar, Ch. Sudheer, Comparative study of the foundation model of a 220 kV transmission line tower with different footing steps - Finite element analysis , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Kumbhlesh Kamal Rana, Rajesh Rayal, K.P. Chamoli, Pankaj Bahuguna, Pratibha Baluni, The Riparian Vegetation has Effects on the Faunal Diversity , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- James L T Thanga, Ashley Lalremruati, Agent’s roles and perspectives of life insurance market in North-East India , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- A. Sathya, M. S. Mythili, MOHCOA: Multi-objective hermit crab optimization algorithm for feature selection in sentiment analysis of Covid-19 Twitter datasets , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Amita Pal, Richa Trivedi, Amit Jain, Sudhir Jain, Diurnal and seasonal variation of GPS-TEC during a low solar activity period at EIA region (Bhopal) , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
<< < 32 33 34 35 36 37 38 39 40 41 > >>
You may also start an advanced similarity search for this article.

