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2024 | OriginalPaper | Chapter

Artificial Intelligence in Human Resource Management for Improved Employee Engagement

Authors : Mita Mehta, Sammita Jadhav

Published in: ICT: Applications and Social Interfaces

Publisher: Springer Nature Singapore

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Abstract

Technology has impacted the global economy to society tremendously. Technology adoption among corporations has also been studied in past literature. Artificial Intelligence is wide wide-ranging tool that enables organizations to facilitate its processes. This study emphasizes the use of technology, i.e., Artificial Intelligence for improved employee engagement. Engagement of employees is the most crucial task that all companies are struggling to achieve nowadays. At one place there is a boom in technological advancement and on the other side human behavior is becoming extremely complicated to comprehend and manage. Present research works on the use of technology in enhancing employee engagement through the use of artificial intelligence. This article highlights the use of artificial intelligence in augmenting the process of HR and the future directions thereof in keeping employees engaged. The authors in this research have mentioned the various uses of artificial intelligence in various HR processes for keeping employees engaged. Taking the gaps from the past research, where missing links were found related to artificial intelligence and its use through various human resource functions and its impact on employee engagement, this research focuses on how this can be implemented with various examples.

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Literature
17.
go back to reference Mehta M, Kurbetti A, Dhankhar R (2014) Review paper–study on employee retention and commitment. Int J Adv Res Comput Sci Manag Stud 2(2):154–64 Mehta M, Kurbetti A, Dhankhar R (2014) Review paper–study on employee retention and commitment. Int J Adv Res Comput Sci Manag Stud 2(2):154–64
Metadata
Title
Artificial Intelligence in Human Resource Management for Improved Employee Engagement
Authors
Mita Mehta
Sammita Jadhav
Copyright Year
2024
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-97-0210-7_16