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Paper ID:IJSREM63355

Artificial Intelligence in HR Recruitment: Impact on Efficiency, Hiring Quality, and Candidate Experience in IT Organizations

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM63355

Volume:

10 |

5 |

May 2026

Pages:

1-10

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Charanraj Lokhande

Charanraj Lokhande

Human Resource Managment

Zeal Institute of Management and Computer Application (ZIMCA), Pune Savitribai Phule Pune University, Pune

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Mentors

CMA Shivaji Rajmane

CMA Shivaji Rajmane

Human Resource Management

Zeal Institute of Management and Computer Application (ZIMCA), Pune Savitribai Phule Pune University, Pune

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Abstract

Artificial Intelligence (AI) has become a transformative technology in Human Resource Management (HRM), particularly in recruitment and talent acquisition. Organizations are increasingly adopting AI-driven tools such as Applicant Tracking Systems (ATS), resume screening software, predictive analytics, and recruitment chatbots to improve hiring efficiency and decision-making. This research paper examines the impact of AI on recruitment processes at mPHATEK Systems Pvt. Ltd., Pune, Maharashtra. The study focuses on recruitment efficiency, quality of hiring, time-to-hire, and candidate experience. A descriptive and analytical research methodology was adopted using primary data collected through structured questionnaires from HR professionals and recruiters. The findings reveal that AI significantly improves recruitment efficiency, reduces hiring time, enhances candidate engagement, and supports data-driven hiring decisions. However, concerns related to algorithmic bias, data privacy, and excessive dependence on automation were also identified. The study concludes that AI acts as a strategic enabler in modern recruitment practices when integrated with human judgment and ethical governance. The paper provides practical recommendations for organizations aiming to implement AI-driven recruitment systems effectively.

KEYWORDS

Keywords: Artificial Intelligence Recruitment Human Resource Management AI in HR Applicant Tracking System Talent Acquisition Recruitment Automation

Cite This Article

Charanraj Lokhande, CMA Shivaji Rajmane, "Artificial Intelligence in HR Recruitment: Impact on Efficiency, Hiring Quality, and Candidate Experience in IT Organizations," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-10, May 2026.

Full Article/Conclusion

Artificial Intelligence has become an essential component of modern recruitment practices. The study concludes that AI significantly improves recruitment efficiency, reduces hiring time, enhances hiring quality, and positively impacts candidate experience. Organizations adopting AI-driven recruitment systems gain operational and strategic advantages in talent acquisition. However, challenges such as ethical concerns, transparency, and data privacy require careful management. The research highlights that successful implementation of AI in recruitment depends on integrating intelligent technologies with human expertise, ethical governance, and continuous monitoring.  

References

Black, J. S., & van Esch, P. (2020). AI in recruitment and selection: A review of emerging trends. Business Horizons, 63(5), 577–586. Deloitte. (2023). Global human capital trends report 2023. Deloitte Insights. Dessler, G. (2020). Human resource management (16th ed.). Pearson Education. Jain, S., & Dutta, P. (2019). Impact of artificial intelligence on recruitment. International Journal of Management Studies, 6(2), 45–52. Kavanagh, M. J., Thite, M., & Johnson, R. D. (2019). Human resource information systems: Basics, applications, and future directions (4th ed.). Sage Publications. LinkedIn Talent Solutions. (2023). Global talent trends report. LinkedIn Corporation. NASSCOM. (2022). Artificial intelligence adoption in India report. NASSCOM. Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson. Upadhyay, A. K., & Khandelwal, K. (2018). Applying artificial intelligence: Implications for recruitment. Strategic HR Review, 17(5), 255–258. mPHATEK Systems Pvt. Ltd. (2025). Company website and internal resources.

Editorial & Review Transparency

Publication Date

5/17/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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