Talent acquisition-artificial intelligence to manage recruitment

Title

Talent acquisition-artificial intelligence to manage recruitment

Creator

Vedapradha R.; Hariharan R.; David Winster Praveenraj D.; Sudha E.; Ashok J.

Description

The research aims to examine the awareness of Artificial Intelligence among the HR managers and Talent Acquisition managers in the process of Talent Acquisition, Investigating the factors influencing the adoption and usage of Assisted Intelligence, and evaluating the impact of Artificial Intelligence on Talent Management. Multi-Stage sampling method was adopted to collect the responses from the 384 customers across the HR and TA managers working across the IT companies situated in Bangalore, Mysore, Pune, and Chennai & Hyderabad. SAS was applied to perform the Simple Percentage Analysis, Correlation Analysis, Multiple Linear Regression Analysis to validate the hypothesis. The demographic & construct variables considered were Adoption, Actual usage, Perceived usefulness, Perceived Ease of Use, & Talent Management. Awareness of the Artificial Intelligence technology and its adoption in managing Talent Acquisition has the positive and high correlation and followed by its actual usage. Candidate experience is the most influencing variable from the first factor, Competency and Easy to use is the most influencing variable from the second factor, Effectiveness in the adoption and actual usage of Artificial Intelligence in Talent Acquisition. Talent Management is the highest predictor of using the technology and its adoption is the most influencing predictor in the effective implementation of the technology among the Information Technology Companies. The Authors, published by EDP Sciences.

Source

E3S Web of Conferences, Vol-376

Date

2023-01-01

Publisher

EDP Sciences

Subject

Artificial Intelligence; Recruitment; Talent Acquisition; Technology

Coverage

Vedapradha R., Department of Commerce, Mount Carmel College, Autonomous, Bangalore, India; Hariharan R., CHRSIT (Deemed to Be University), Yeshwanthpur Campus, Bangalore, India; David Winster Praveenraj D., CHRSIT (Deemed to Be University), Yeshwanthpur Campus, Bangalore, India; Sudha E., CHRSIT (Deemed to Be University), Yeshwanthpur Campus, Bangalore, India; Ashok J., CHRSIT (Deemed to Be University), Yeshwanthpur Campus, Bangalore, India

Rights

All Open Access; Gold Open Access; Green Open Access

Relation

ISSN: 25550403

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1051/e3sconf/202337605001

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152936020&doi=10.1051%2fe3sconf%2f202337605001&partnerID=40&md5=a92864c7ab990c67779467f8f6e2dd5e