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Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
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Adoption and Usage of Artificial Intelligence in Human Resource Professionals

Authors: Mr.Karthick R, Ms.Dharshini S;

Adoption and Usage of Artificial Intelligence in Human Resource Professionals

Abstract

This research looks into the use of Artificial Intelligence (AI) by people in charge of Human Resources (HR) in companies in India. The study used a type of research called quantitative and descriptive research. It used a model called Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) to figure out how likely people in charge of HR and employees are to use AI. Seventy-two people were questioned to see how much they know about AI, if they like it and what it means for HR tasks like recruiting, training, managing performance and making employees happy. Half of the people said they liked AI and wanted to use it. The people who were older, had more education and worked in different kinds of businesses liked it more. But they still had some problems. 52.8% said they already used AI tools. The study said that if you like something, you will use it. The model worked well in the HR department of companies in India. But if the company did not have the money, the right people or the right computers, it would be hard to use AI. AI made HR jobs more efficient and helped people make better decisions. The study had some advice for companies who wanted to use AI to make it work better. They should tell their people about AI, train them, help them learn new things and give them the right computers.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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