Paper Title
Integration Of Artificial Intelligence In HRM: A Theoretical Overview Of Obstacles And Potential HRM Strategies
Article Identifiers
Registration ID: IJNRD_190335
Published ID: IJNRD2304075
DOI: http://doi.one/10.1729/Journal.33691
Authors
Monesh Reddy Peram , Venkatesh Tejus , K R Amrutha Devi , M Sangeeth,Megha Kukreja , Palzor Syangden,Priya Makhija
Keywords
Artificial Intelligence, Recruitment
Abstract
The field of business has now adopted artificial intelligence (AI) as an essential component. AI could be a huge field of computing that deals with making machines smart enough to do things that normally require human intelligence. Organizations will benefit from incorporating AI into HR practices because these applications can analyse, predict, and diagnose to assist HR teams in making better decisions. Due to the close interaction between artificial intelligence (AI), primarily robots, and human workers, particularly at the team level, this paper aims to specifically focus on the challenges that human resource management (HRM) leaders and departments in contemporary organizations face. Based on a conceptual review of the existing research, it goes on to discuss important potential strategies that could be useful for overcoming these obstacles. The current state of awareness of AI and machine learning (ML) and their impact on the HR industry is illuminated in this chapter. This chapter tries to explain how AI is being used in the world today and how it is affecting HRM in organizations. We feature that communication and joint effort between human specialists and robots is noticeable in a scope of businesses and hierarchical capabilities, where both are filling in as colleagues.
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How To Cite (APA)
Monesh Reddy Peram, Venkatesh Tejus, K R Amrutha Devi, M Sangeeth,Megha Kukreja, & Palzor Syangden,Priya Makhija (April-2023). Integration Of Artificial Intelligence In HRM: A Theoretical Overview Of Obstacles And Potential HRM Strategies. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), a609-a617. http://doi.one/10.1729/Journal.33691
Issue
Volume 8 Issue 4, April-2023
Pages : a609-a617
Other Publication Details
Paper Reg. ID: IJNRD_190335
Published Paper Id: IJNRD2304075
Downloads: 000121984
Research Area: Science & Technology
Country: Bangalore, Karnataka, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2304075.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304075
Crossref DOI: http://doi.one/10.1729/Journal.33691
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