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Arti cial Intelligence in Human Resource Management-A Review of Opportunities and Challenges

Authors: Dibin Sekaran;

Arti cial Intelligence in Human Resource Management-A Review of Opportunities and Challenges

Abstract

Digitalization has in uenced and is in uencing our education, occupation, lifestyle, achievements, possessions, relations, beliefs, and perception of life. The biggest workplace disruptor is next-generation digital technologies. The dynamic nature of digitalization is itself a challenge to the organization as a whole and particularly human resource management since employees are the most valuable assets in an organization.To create a modern organization digitalization will be required at all connected levels.The motivation of the study is to analyze and determine the opportunities and challenges of AI in HRM in the Indian context.Organizations that do not adopt newer technologies will  nd it dif cult to survive. Since digital technology will result in both direct and indirect implications of the employees and the organization, it has to be studied.A detailed survey of existing literature on the context was studies throughly. The  ndings of the study will give a deeper understanding of the implications of digital technology for HR Managers and all the stakeholders concerned.

Keywords

Human Resource Information Systems, Automation in HR, HRIS

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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.
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influence
This indicator 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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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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