Application of artificial intelligence on human resource management in information technolgy industry in India
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.4.26Keywords:
Human Resource Management, HRM, Artificial Intelligence, I.T., HRM Application, Information Technology industryDimensions Badge
Issue
Section
License
Copyright (c) 2023 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Artificial Intelligence is a term for a technology that is used to do a job that needs intelligence. It is a technology designed to do what a person could do. Today’s organizations have changed a lot because of Artificial Intelligence. Not just one part of the organization but all of its functions and how it affects human resource management must be looked at separately, especially since this is where most people work. This study looks into how artificial intelligence can handle human resources in India’s IT (Information Technology) business. This study looks at what makes AI-driven HRM practices in the Indian IT business work the way they do. The researcher has collected secondary sources like journal articles, study papers, dissertations, and reports from different IT companies related to AI in HR. Information is gathered from individuals who work in IT organizations’ human resources offices. The results show that Artificial Intelligence is young regarding recruitment, and only a few companies use it for human resource management. The main benefits of AI are speed, quality, and the removal of routine jobs. On the other hand, the biggest problem is that businesses are only sometimes ready for new technologies.Abstract
How to Cite
Downloads
Similar Articles
- V. Baby Deepa, R. Jeya, Dynamic resource allocation with otpimization techniques for qos in cloud computing , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Deepika M, Antonitte Vinoline I, An integrated inventory system for profit maximization considering partial demand satisfaction , The Scientific Temper: Vol. 16 No. 08 (2025): The Scientific Temper
- Vandana, PANKAJ KUMAR, Vikas Jangra, Ambrish Pandey, An empirical study on the print suitability of hybrid modulated screen and digitally modulated screen in offset printing process , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Manisha Anil Vhora, Vidya Bhandwalkar, Prashant Mangesh Rege, AI-driven HR analytics: Enhancing decision-making in workforce planning , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Krishna P. Kalyanathaya, Krishna Prasad K, A novel method for developing explainable machine learning framework using feature neutralization technique , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Arvind K Shukla, Balaji V, Dharani R, M Ananthi, R Padmavathy, Romala V. Srinivas, Precision agriculture predictive modeling and sensor analysis for enhanced crop monitoring , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Amanda Quist Okronipa, Lucy Ewuresi Eghan, A theoretical investigation of students’ adoption of artificial intelligence chatbots using social cognitive theory and uses and gratification theory , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- C. Mohan Raj, M. Sundaram , M. Anand, Automation of industrial machinerie , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- S. Udhaya Priya, M. Parveen, ETPPDMRL: A novel approach for prescriptive analytics of customer reviews via enhanced text parsing and reinforcement learning , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- Archana Verma, Role of artificial intelligence in evaluating autism spectrum disorder , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
<< < 1 2 3 4 5 6 7 8 9 10 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- S Rehan Ahmad, KDV Prasad, Seema Bhakuni, Amit Hedau, P B Shankar Narayan, P Parameswari, The role and relation of emotional intelligence with work-life balance for working women in job stress , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper

