Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM51776

Harnessing HR Analytics to Optimize Talent Allocation and Workforce Planning in Contemporary Organizations

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM51776

Volume:

9 |

8 |

Aug 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM51776

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.

Share this article:

Authors

1AS

1Ms. ANUSHA S

2VRK

2Dr. VEENA RANI K

Author Services & Downloads

Full Articles

Abstract

In today’s rapidly evolving business environment, the strategic application of Human Resource (HR) analytics has emerged as a pivotal tool in driving informed talent allocation and effective workforce planning. This study explores the transformative potential of HR analytics in reshaping how organizations identify, develop, and deploy their human capital. By examining real-world practices and analyzing trends, this research highlights how data-driven HR decisions enhance workforce agility, minimize talent gaps, and improve organizational efficiency. The paper also identifies key challenges such as data integration issues, lack of analytical capability, and resistance to change. Emphasizing the importance of aligning HR analytics with strategic goals, this study provides valuable insights for HR professionals and decision-makers. The findings underscore the importance of adopting predictive and prescriptive analytics to support dynamic workforce strategies, contributing to long-term organizational growth and competitiveness.

KEYWORDS

HR analytics talent allocation workforce planning strategic human resources data-driven HR

Cite This Article

1Ms. ANUSHA S, 2Dr. VEENA RANI K, "Harnessing HR Analytics to Optimize Talent Allocation and Workforce Planning in Contemporary Organizations," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 8, Aug 2025. https://doi.org/10.55041/IJSREM51776

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

11/7/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

3

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...