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Impact Of Machine Learning In Human Resource Management: Towards The Modernization Of Leadership

Authors: Cabrera, Rodrigo Miranda; Ganchozo, Manuel Leon; Rene, Rodríguez Salazar Oswaldo; Bujaico, Rafael Wilfredo Rojas; Samaniego, Héctor Huamán; Bujaico, John Fredy Rojas;

Impact Of Machine Learning In Human Resource Management: Towards The Modernization Of Leadership

Abstract

In the era of fifth industrial revolution, organizations can definitely rely on technology to play a major role in human resource management. Internet of Things (IOT), Big Data, Cloud computing, Robotics and Artificial Intelligence are some of the technologies which are making this revolution a reality. Only a satisfied employee can be a productive employee and the retention rate is comparatively high for employees belonging to that category. Identifying the factors leading to satisfaction of employee will definitely assist management in introducing feasible factors among the ones identified. This is where machine learning comes into action. Machine learning techniques like classification and clustering play a major role in analyzing data as well as making effective predictions. In this paper an attempt is made to discuss the impact of machine learning on human resource management to control turnover of employees

Keywords

Machine Learning, Employee attrition, Clustering

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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