Proceedings of the International Conference on Digital Transformation in Business: Navigating the New Frontiers Beyond Boundaries (DTBNNF 2024)

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The Effect of AI (Artificial Intelligence) in Employee Performance Evaluation on Employee Retention in the Information Technology Sector

Authors
S. Durairaj1, *, V. Vetrivel2
1Research Scholar (Ph.D), Department of Business Administration, School of Management Studies, Vels Institute of Science, Technology and Advanced Studies, Pallavaram, Chennai, 600117, India
2Assistant Professor and Research Supervisor, Department of Business Administration, School of Management Studies, Vels Institute of Science, Technology and Advanced Studies, Pallavaram, Chennai, 600117, India
*Corresponding author.
Corresponding Author
S. Durairaj
Available Online 3 June 2024.
DOI
10.2991/978-94-6463-433-4_8How to use a DOI?
Keywords
Data Quality; Performance Metrics; Feedback Mechanisms; System Integration; Technology Infrastructure; Evaluating Employee Performance; Employee Retention
Abstract

The purpose of this study abstract is to present a synopsis of the research on the effects of AI on IT performance reviews and staff retention. The function of AI technologies in IT firms’ performance evaluation processes is the primary area of investigation in this research. Artificial intelligence (AI) has seen massive growth in its usage across several sectors, including the information technology industry, in the last several years. This trend has also influenced human resource practices, where AI-powered tools are being used to streamline processes and enhance decision-making. The research methodology includes data collection through surveys or interviews with employees and HR professionals in IT companies. The findings will shed light on how these AI-driven systems impact employees’ perception of their performance and management’s ability to evaluate individual contributions accurately. Based on these findings, recommendations, and suggestions will be provided to help organizations optimize their use of AI tools for performance evaluation while ensuring that it positively affects employee retention rates within the IT 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 International Conference on Digital Transformation in Business: Navigating the New Frontiers Beyond Boundaries (DTBNNF 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
3 June 2024
ISBN
10.2991/978-94-6463-433-4_8
ISSN
2352-5428
DOI
10.2991/978-94-6463-433-4_8How 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  - S. Durairaj
AU  - V. Vetrivel
PY  - 2024
DA  - 2024/06/03
TI  - The Effect of AI (Artificial Intelligence) in Employee Performance Evaluation on Employee Retention in the Information Technology Sector
BT  - Proceedings of the International Conference on Digital Transformation in Business: Navigating the New Frontiers Beyond Boundaries (DTBNNF 2024)
PB  - Atlantis Press
SP  - 88
EP  - 108
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-433-4_8
DO  - 10.2991/978-94-6463-433-4_8
ID  - Durairaj2024
ER  -