UGC Approved Journal no 63975(19)
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ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 12 Issue 8
August-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIRHC06043


Registration ID:
568488

Page Number

295-301

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Title

ROLE OF AI-DRIVEN PERFORMANCE APPRAISAL PRACTICES IN BANKING SECTOR: A REVIEW IN INDIAN PERSPECTIVE.

Authors

Abstract

Artificial Intelligence (AI) is rapidly reshaping the landscape of organizational management, and its application in performance management has become a focal point of research and practice. The banking sector, particularly in India, is undergoing a significant transformation driven by technological adoption, digitalization, and evolving workforce expectations. This review explores the role of AI-driven performance Appraisal practices in the Indian banking industry, assessing how emerging technologies are redefining traditional performance appraisal systems and enabling more efficient, transparent, and data-driven approaches. AI technologies such as predictive analytics, natural language processing and machine learning algorithms are being integrated into performance management frameworks to evaluate employee productivity, provide real-time feedback, identify training needs, and support leadership decisions. Indian banks are increasingly adopting AI-powered HR analytics platforms to align employee goals with organizational objectives, enhance accuracy in performance evaluation, and minimize human biases. The review highlights that AI-driven systems not only improve operational efficiency but also contribute to employee engagement, retention, and long-term organizational sustainability. Despite these advantages, several challenges hinder the widespread adoption of AI in performance management. Key issues include high implementation costs, concerns over data security and privacy, lack of digital readiness among employees, and ethical considerations surrounding algorithmic decision-making. The paper concludes that AI has immense potential to revolutionize performance management practices in the Indian banking sector by fostering transparency, accountability, and strategic alignment. However, successful adoption requires a comprehensive approach that integrates technological innovation with regulatory compliance, employee training, and cultural readiness.

Key Words

Artificial Intelligence, Performance Management, Performance Appraisal, HR Analytics, Employee Productivity, Digital Transformation.

Cite This Article

"ROLE OF AI-DRIVEN PERFORMANCE APPRAISAL PRACTICES IN BANKING SECTOR: A REVIEW IN INDIAN PERSPECTIVE.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 8, page no.295-301, August-2025, Available :http://www.jetir.org/papers/JETIRHC06043.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"ROLE OF AI-DRIVEN PERFORMANCE APPRAISAL PRACTICES IN BANKING SECTOR: A REVIEW IN INDIAN PERSPECTIVE.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 8, page no. pp295-301, August-2025, Available at : http://www.jetir.org/papers/JETIRHC06043.pdf

Publication Details

Published Paper ID: JETIRHC06043
Registration ID: 568488
Published In: Volume 12 | Issue 8 | Year August-2025
DOI (Digital Object Identifier):
Page No: 295-301
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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