The future of hiring through artificial intelligence by human resource managers in India

Arora, Ankita, Aggarwal, Vaibhav and Doifode, Adesh (2022) The future of hiring through artificial intelligence by human resource managers in India. In: Expert Clouds and Applications. Lecture Notes in Networks and Systems, 444 . Springer, Singapore, pp. 529-541. ISBN 9789811924996

[thumbnail of The Future of Hiring Through Artificial.pdf] Text
The Future of Hiring Through Artificial.pdf - Published Version
Restricted to Repository staff only

Download (395kB) | Request a copy

Abstract

There has been explosion of Artificial Intelligence (AI) in recent times and sweeps through various industries and developments tools. These tools are being increasingly being also used in Human Resource Management for hiring, training, employee engagement, promotions, decision-making, speed and accuracy of work and removing the daily hurdles with high end technology. Machine learning algorithms, chatbots, robots help the process to achieve organization goals. This study aims at understanding the intensity of increase in usage of AI by human resource managers across different organizations of different sizes. The five-point Likert scale to develop the questionnaire is used to survey the participating HR managers in the Indian context. The findings of this study are multi-fold. First, the results indicate that although AI will take away lower-level jobs via automation, but it is difficult for top level hiring to be done largely via AI. Second, our results also depict those jobs which require more human touch can’t be easily replaced by automation. Finally, promotion decisions based only on automation can result in errors and hence it is also important to have human interaction before arriving at an outcome.

Item Type: Book Section
Keywords: Artificial intelligence | Machine learning | Algorithms | Human resource management
Subjects: Social Sciences and humanities > Business, Management and Accounting > Human Resource Management
JGU School/Centre: Jindal Global Business School
Depositing User: Amees Mohammad
Date Deposited: 18 Aug 2022 06:31
Last Modified: 08 Sep 2022 11:12
Official URL: https://doi.org/10.1007/978-981-19-2500-9_40
URI: https://pure.jgu.edu.in/id/eprint/4241

Downloads

Downloads per month over past year

Actions (login required)

View Item
View Item