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Proceedings of the 2021 International Conference on Research in Management & Technovation

Annals of Computer Science and Information Systems, Volume 28

Framework of Using Machine Leaning Techniques in Human Resource Management in Vietnamese Companies

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DOI: http://dx.doi.org/10.15439/2021KM8

Citation: Proceedings of the 2021 International Conference on Research in Management & Technovation, Vu Dinh Khoa, Shivani Agarwal, Gloria Jeanette Rincon Aponte, Nguyen Thi Hong Nga, Vijender Kumar Solanki, Ewa Ziemba (eds). ACSIS, Vol. 28, pages 295–300 ()

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Abstract. The COVID-19 pandemic requires many companies changing the way of their operations because of the lock down of movement and limitation of facing contact, etc. This also is an opportunity for companies to utilize technology and use digital space to keep their works and companies' activities. Companies can encourage their labors via policies of promotions. However, how to evaluate employee performance fairly, unbiasedly, and transparently? The existence of AI (Artificial Intelligence) , especially machine learning, might be a solution for this due to the fact that it can automatically evaluate individual workers' performance. Therefore, the performance evaluation process ensures that the system works without interference from people outside of the system. In the paper, a framework of KPIs building systems to evaluate individual workers is represented as a solution for applying the advantage of AI (machine learning techniques) in Vietnamese companies. It can help them to improve the labor productivity and increase the workers' quality in the labor market in general

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