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  Published Paper Details:

  Paper Title

A study on the analysis of HR Automation and Analytics for Enhanced Recruitment Efficiency

  Authors

  Priya Bhatt

  Keywords

HR Automation, Recruitment Efficiency, Digital Transformation in HR, Applicant Tracking System (ATS), Automated Resume Screening, Hiring Process Automation

  Abstract


Recruitment processes have undergone considerable change with the introduction of automation tools and analytics in the field of Human Resource (HR) management. This research examines the influence of HR automation tools on recruitment efficiency which includes candidate sourcing, evaluation, and decision-making pertaining to hiring. This study analyzes multiple HR technologies such as applicant tracking systems (ATS), chatbots, and predictive analytics, and illustrates their impacts on reduced hiring timelines, candidate experience, and bias mitigation. The research also analyzes how insights derived from data aid the decision-making process and detail the impact on the strategic hiring decision. The study intends to provide implementable propositions regarding recruitment strategy optimization through analysis of leading automation tools and case studies of organizations that incorporated these tools into their processes. The results of the research indicate that there is a growing need for incorporating automation and analytics into human resources workflows to optimize efficiency, scalability, and fairness in the hiring process.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2504187

  Paper ID - 281323

  Page Number(s) - b554-b564

  Pubished in - Volume 13 | Issue 4 | April 2025

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Priya Bhatt,   "A study on the analysis of HR Automation and Analytics for Enhanced Recruitment Efficiency", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 4, pp.b554-b564, April 2025, Available at :http://www.ijcrt.org/papers/IJCRT2504187.pdf

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


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