The rapid advancements in Artificial Intelligence (AI) are revolutionizing performance management in modern organizations. This paper explores the integration of AI tools in tracking and enhancing employee productivity, focusing on innovative methodologies and technologies. By examining real-time feedback systems, predictive analytics, automated performance reviews, and personalized development plans, this research highlights the potential of AI to transform traditional performance management practices. Additionally, the paper discusses the benefits of AI-driven systems, including improved accuracy, efficiency, and employee engagement, while also addressing challenges such as bias, data privacy, and ethical considerations. Through case studies and a comprehensive literature review, this study provides valuable insights into the implementation and outcomes of AI-powered performance management, offering practical recommendations for HR professionals and organizations aiming to leverage AI for optimal productivity and performance.
Keywords: AI-driven Performance Management, Employee Productivity Tracking, Predictive Analytics in HR, Automated Performance Reviews, Ethical AI in Workforce Management.
Femi Olan, Richard B. Nyuur & Emmanuel Ogiemwonyi Arakpogun, 2023, AI: A knowledge sharing tool for improving employee’s performance, Journal of Decision Systems Volume 33, 2023 - Issue 4.https://doi.org/10.1080/12460125.2023.2263687G Madhumita; P. Dolly Diana; Neena PC; P B Narendra Kiran; Swati Aggarwal; Amarja Satish Nargunde, AI-powered Performance Management: Driving Employee Success and Organizational Growth,2023 5th International Conference on Recent Trends in Computer Science and Technology (ICRTCST), https://ieeexplore.ieee.org/document/10578371 DOI: 10.1109/ICRTCST61793.2023.10578371K. Gopinath & S. Appavu alias Balamurugan, December 2023, Human Resource Analytics: Leveraging Machine Learning for Employee Attrition Prediction. Book series: IFIP Advances in Information and Communication Technology, Conference series: International Working Conference on Transfer and Diffusion of IT, pp 137–158. https://link.springer.com/chapter/10.1007/978-3-031-50188-3_13.K. Sampath; Kabirdoss Devi; T.V. Ambuli; S. Venkatesan , AUGUST 2023 AI-Powered Employee Performance Evaluation Systems in HR Management.2023 7th International Conference on Circuit Power and Computing Technologies (ICCPCT). DOI: 10.1109/ICCPCT61902.2023.10673159Marcello M. Mariani, Isa Machado, Vittoria Magrelli, Yogesh K. Dwivedi ,Artificial intelligence in innovation research: A systematic review, conceptual framework, and future research directions. Technovation. Volume 122, April 2023, 102623. https://doi.org/10.1016/j.technovation.2022.102623Meenal Arora; Anshika Prakash; Amit Mittal; Swati Singh, 24 January 2022, HR Analytics and Artificial Intelligence-Transforming Human Resource Management. International Conference on Decision Aid Sciences and Application (DASA). DOI: 10.1109/DASA53625.2021.9682325Prashant U. Gujanal, Gurubasavaraya Hiremath, 2023, Performance management and artificial intelligence: A conceptual framework on future role, AIP Conf. Proc. 2796, 030005. https://doi.org/10.1063/5.0149028Saklani and Ashli Khurana, (October 2023). Influence of Artificial Intelligence in Human Resource Management: A Comprehensive Review Nikita. International Journal of Engineering and Management Research Peer Reviewed & Refereed Journal e-ISSN: 2250-0758 | p-ISSN: 2394-6962 Volume-13, Issue-5.https://doi.org/10.31033/ijemr.13.5.3.
