Madhumita, G and Dolly Diana, P. and PC, Neena and Narendra Kiran, P B and Aggarwal, Swati and Satish Nargunde, Amarja (2024) AI-powered Performance Management: Driving Employee Success and Organizational Growth. In: 2024 5th International Conference on Recent Trends in Computer Science and Technology (ICRTCST), Jamshedpur, India.
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As organizations navigate the dynamic landscape of the modern workplace, the need for effective performance management becomes increasingly critical. Traditional performance management systems often fall short in providing real-time insights, personalized feedback, and data-driven decision-making. This research explores the integration of artificial intelligence (AI) into performance management practices as a transformative approach to enhance employee success and fuel organizational growth. The advent of AI technologies has ushered in a new era in which data analytics, machine learning, and natural language processing can be harnessed to optimize performance management processes. This research reviews the current challenges in traditional performance management, such as subjectivity, infrequent feedback, and reliance on past data. It then delves into the ways AI can address these challenges by offering continuous monitoring, predictive analytics, and personalized recommendations. The role of AI in performance management extends beyond mere efficiency improvements. By leveraging AI algorithms, organizations can gain deeper insights into employee strengths, weaknesses, and potential areas for development. Furthermore, the paper explores the impact of AI-powered performance management on employee engagement and motivation. The potential benefits extend to talent retention and attraction, as employees thrive in an ecosystem that values their contributions and supports their professional growth. In conclusion, this paper advocates for the integration of AI into performance management as a strategic initiative for organizations aiming to stay competitive in the evolving business landscape. AI-powered performance management systems have the potential to revolutionize the way organizations nurture talent, drive employee success, and ultimately achieve sustainable organizational growth. The insights presented in this research serve as a guide for organizations seeking to harness the transformative power of AI in their pursuit of excellence in performance management.
Item Type: | Conference or Workshop Item (Paper) |
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Subjects: | Management Studies > Production Management |
Divisions: | Management Studies |
Depositing User: | Mr IR Admin |
Date Deposited: | 07 Oct 2024 09:20 |
Last Modified: | 07 Oct 2024 09:20 |
URI: | https://ir.vistas.ac.in/id/eprint/9314 |