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:IJSREM64075

An Analytical Study of Talent Acquisition and HR Operations in Organizations

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM64075

Volume:

10 |

5 |

May 2026

Pages:

1-7

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.

Share this article:

Authors

Santhosh P

Santhosh P

MBA

RATHINAM TECHNICAL CAMPUS

Download Author Certificate

Mentors

P

Priyadharshini

MBA

RATHINAM TECHNICAL CAMPUS

Download Mentor Certificate

Author Services & Downloads

Full ArticlesAcceptance Certificate

Abstract

Talent acquisition and human resource (HR) operations are central pillars of organizational effectiveness, particularly within the rapidly evolving Business Process Management (BPM) and IT-enabled services sector. This study investigates employee perceptions of digital HR practices, recruitment processes, and operational HR systems at 24/7.ai—a globally recognized AI-powered customer engagement company headquartered in California, USA, with major delivery centers across India, the Philippines, and Guatemala. Primary data were collected from 100 employees using a structured Likert-scale questionnaire; secondary data were drawn from company records, academic journals, and HR management literature. Percentage analysis, tabular methods, and graphical tools were employed for data interpretation. Findings reveal that the majority of employees express satisfaction with recruitment fairness, HR communication, payroll accuracy, attendance management, and employee engagement activities. Key challenges include recruitment speed, grievance responsiveness, and retention strategies in a high-attrition environment. The study concludes that strategically aligned HR operations and continuous digital transformation of talent practices significantly enhance organizational performance and employee satisfaction in the BPM industry.

KEYWORDS

Talent Acquisition HR Operations Digital HR Practices Employee Satisfaction BPM Industry 24/7.ai Workforce Management

Cite This Article

Santhosh P, Priyadharshini, "An Analytical Study of Talent Acquisition and HR Operations in Organizations," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-7, May 2026.

Full Article/Conclusion

This study has provided a systematic empirical analysis of talent acquisition and HR operational practices at 24/7.ai, a leading AI-powered BPM organization. The findings demonstrate that the organization's HR systems—spanning recruitment, communication, payroll, attendance, support services, and employee engagement—are broadly effective, with a consistent 70% or greater employee satisfaction rate across all measured dimensions. These outcomes validate the alternative hypothesis and confirm the theoretically and practically significant relationship between well-executed HR operations and employee satisfaction. The study's contributions are threefold: it advances empirical understanding of HR management in the BPM sector; it provides an integrated assessment of talent acquisition and HR operations within a single organizational context—addressing a gap in prior literature; and it offers evidence-based, actionable recommendations directly applicable to HR practitioners in high-volume, technology-intensive service environments. As organizations in the BPM sector navigate increasing automation, shifting workforce expectations, and intensifying talent competition, the strategic integration of digital HR capabilities with human-centered operational practices will be decisive in sustaining both organizational performance and employee well-being.

References

Ajitha, A., & Ramya, P. (2022). Factors of job passion and employee performance in the insurance sector. International Journal of Business Administration Research, 9(2), 45–58. Aswathappa, K. (2019). Human Resource and Personnel Management (7th ed.). Tata McGraw-Hill Publications. Cox, T., & Blake, S. (2019). Managing cultural diversity: Implications for organizational competitiveness. Academy of Management Executive, 5(3), 45–56. Deshwal, M. P., & Choudhary, D. S. (2014). Workforce diversity and organizational productivity. Journal of Management Studies, 6(1), 23–39. Dessler, G. (2020). Human Resource Management (15th ed.). Pearson Education. Dike, P. (2014). The impact of workplace diversity on organizations. Theseus Research Archive, 4(1), 12–28. Gupta, C. B. (2021). Human Resource Management (10th ed.). Sultan Chand & Sons. Kothari, C. R. (2018). Research Methodology: Methods and Techniques (4th ed.). New Age International Publishers. Koshy, P. (2016). Diversity and performance in MSMEs: A multicultural perspective. Journal of Small Business Management, 8(3), 67–79. Madhuri, S. B., & Panchal, U. V. (2022). Emotional intelligence and work-life balance in organizational settings. HRM Review, 12(4), 33–47. Malarkodi, A., et al. (2023). Quality of work life determinants among faculty in higher education institutions. Journal of Organizational Behavior, 15(2), 88–105. Mamidenna, S. (2016). BPO: A snapshot through the lens of HRM. HRM Review, ICFAI University Press, May 2016. Maslow, A. H. (1943). A theory of human motivation. Psychological Review, 50(4), 370–396.

Editorial & Review Transparency

Publication Date

5/26/2026

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...