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  Published Paper Details:

  Paper Title

Embracing the Future : Artificial Intelligence in Human Resource Management

  Authors

  Dr.Nigaar Patel

  Keywords

Artificial Intelligence, Human Resource Management, industries, operations.

  Abstract


Accurate data collection and analysis for use in business growth and daily operations are crucial in today's competitive world of industries. Artificial intelligence enables the completion of tasks in the industry more quickly and effectively. Artificial intelligence is being incorporated into a number of departments, including those dealing with human resources, finances, marketing, and production. Organizations can inform their current performance and daily operations by deploying AI systems. Due to mounting financial pressure, harsh bosses now recognize the value of artificial intelligence in the workplace. This research article is based on secondary data., which was information gathered from books, journals, websites, blogs about human resources, etc. The primary goal of the research was investigating the function of artificial intelligence in the HR department and the challenges in the implementation of the same. AI plays a larger role in the human resources department than previously thought. Robotics companies can handle hiring, analyzing and collecting data, collecting data, reducing workload at work, and enhancing workplace efficiency.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2310154

  Paper ID - 244728

  Page Number(s) - b354-b361

  Pubished in - Volume 11 | Issue 10 | October 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Dr.Nigaar Patel,   "Embracing the Future : Artificial Intelligence in Human Resource Management", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 10, pp.b354-b361, October 2023, Available at :http://www.ijcrt.org/papers/IJCRT2310154.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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