AI-Driven Recruitment and Talent Acquisition in Hybrid Work Models: A Study of It Companies in Hyderabad

Clicks: 1
ID: 310340
2025
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #166 of 409 articles by views in International Journal of Science and Social Science Research

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 409 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
There has been a high rate of shift to hybrid work models in the Information Technology (IT) sector in Hyderabad, which has transformed the traditional ways of recruiting and managing talents. Artificial Intelligence (AI) has been one of the critical facilitators of this change, automating the process of candidate sourcing; resume screening, skill evaluation, and virtual interviewing. This paper examines how the IT companies in Hyderabad are using AI-based recruitment tools to increase efficiency and decrease the hiring process and increase the quality of employees in a hybrid workplace setting. Other mentioned challenges in the research include algorithmic bias, issues of data privacy, and the necessity of human control in human-assisted decision-making with AI. The results show that AI can result in a higher level of operational efficiency and candidate experience, but in order to achieve this, it should be integrated strategically with human judgment and organizational culture. The paper concludes that the responsible deployment of AI can be a driver behind the development of nimble and future-oriented talent acquisition models in the IT industry of Hyderabad.
Reference Key
imported_1768931011_696fbec31e16a Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Chowlam Sandeep Kumar
Journal International Journal of Science and Social Science Research
Year 2025
DOI
10.5281/zenodo.17340769
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.