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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM59118
Volume:
10 |
4 |
April 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This study examines the growing influence of artificial intelligence (AI)–based tools on performance management systems and managerial control mechanisms within modern organizations. With the increasing adoption of advanced technologies such as machine learning, predictive analytics, and automation, organizations are transitioning from traditional evaluation systems toward data-driven and continuous performance monitoring frameworks. The research adopts a quantitative and analytical approach to investigate how AI tools affect employee performance, operational efficiency, and managerial decision-making. Primary data was collected through structured questionnaires from professionals working in AI-enabled organizational environments. The findings indicate that AI-based tools significantly enhance performance monitoring accuracy, improve real-time feedback mechanisms, and support informed managerial decisions.
KEYWORDS
Publication Date
4/3/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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