Abstract
The role of technology in enhancing the effectiveness of integrated performance appraisal frameworks has become increasingly important in modern organizational management. As businesses strive for improved productivity, engagement, and employee satisfaction, traditional performance appraisal methods have shown limitations in providing real-time, accurate, and constructive feedback. This research explores how technological innovations such as artificial intelligence (AI), machine learning, and cloud-based human resource management software contribute to the enhancement of performance appraisal systems. By integrating these technologies, organizations can automate data collection, reduce bias, offer personalized feedback, and continuously monitor employee progress. This study investigates the impact of such technological integration on the accuracy, efficiency, and overall effectiveness of performance appraisals, ultimately linking these improvements to organizational performance, employee development, and retention. The findings aim to provide organizations with actionable insights into adopting and leveraging technology to create more robust, fair, and dynamic performance appraisal systems.
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