Proceedings of the 2nd International Conference on Emerging Technologies and Sustainable Business Practices-2024 (ICETSBP 2024)

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Influence of Artificial Intelligence on Employee Performance in Banking Industry-An Indian Perspective

Authors
Preeti Sharma1, *, Vikas Sharma1, Sanjay Diddee2, Shilpa Sandhu3
1University School of Business, Department of Commerce, Chandigarh University, Mohali, Punjab, India
2Jodhpur Institute of Engineering and Technology, Jodhpur, India
3Assistant Professor, CMS-Jain (Deemed-to-be) University, Bangalore, India
*Corresponding author.
Corresponding Author
Preeti Sharma
Available Online 17 October 2024.
DOI
10.2991/978-94-6463-544-7_27How to use a DOI?
Keywords
Artificial Intelligence; HR Management; Banking Industry; Employee Perception; Technology Adoption
Abstract

An important development in the banking industry is the incorporation of Artificial Intelligence (AI) into HRM procedures, which is meant to improve efficiency and judgment. In order to offer critical insights for a successful implementation, this study explores bank employees’ perspectives and intentions regarding the deployment of artificial intelligence in HRM. Data was collected through surveys from employees and HR specialists at eight carefully chosen banks in India, using a mixed-methods technique. The analysis was driven by the Unified Theory of Acceptance and Utilization of Technology (UTAUT) paradigm, which placed emphasis on elements such as competitive pressure, effort expectancy, performance expectancy, and enabling conditions. The findings show that although there is a significant intentionality to use AI, there are other contextual elements that also affect actual utilization. Important conclusions highlight the role that competitive pressures, performance advantages, and supportive settings play in increasing AI adoption. Creating favorable environments, offering specialized training, and highlighting the advantages of AI are some techniques to increase its acceptance. This discussion is further enhanced by addressing ethical and demographic aspects, which suggests a comprehensive approach to AI integration in banking HRM. This study adds to our theoretical knowledge of AI deployment in HRM as well as its practical consequences, especially in dynamic and culturally varied domains like the Indian banking sector.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2nd International Conference on Emerging Technologies and Sustainable Business Practices-2024 (ICETSBP 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
17 October 2024
ISBN
978-94-6463-544-7
ISSN
2352-5428
DOI
10.2991/978-94-6463-544-7_27How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Preeti Sharma
AU  - Vikas Sharma
AU  - Sanjay Diddee
AU  - Shilpa Sandhu
PY  - 2024
DA  - 2024/10/17
TI  - Influence of Artificial Intelligence on Employee Performance in Banking Industry-An Indian Perspective
BT  - Proceedings of the 2nd International Conference on Emerging Technologies and Sustainable Business Practices-2024 (ICETSBP 2024)
PB  - Atlantis Press
SP  - 408
EP  - 424
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-544-7_27
DO  - 10.2991/978-94-6463-544-7_27
ID  - Sharma2024
ER  -