IJCOPE Journal

UGC Logo DOI / ISO Logo

International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
Journal Information
ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 04

Published on: April 2026

STUDY ON EFFECTIVENESS OF RECRUITMENT TOOLS AT VIRTUSA

Ms. G.K.Deepa

Department of Management Studies Saveetha Engineering College (Autonomous) Chennai India
DOI:https://doi.org/10.55041/ijcope.v2i3.284

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Download PDF Review Report

Abstract

The recruitment process has undergone a profound transformation with the proliferation of digital platforms, artificial intelligence-driven tools, and applicant tracking systems. This study investigates the effectiveness of recruitment tools employed at Virtusa, a leading global technology services company. Using a structured survey instrument administered to 150 HR professionals, recruiters, and talent acquisition specialists across Virtusa and comparable technology organizations, this research evaluates critical dimensions including tool effectiveness, ease of use, candidate quality, time-saving capability, and overall satisfaction. The study further examines the adoption of AI-based recruitment tools and their perceived influence on hiring efficiency. Findings reveal that digital job boards such as Naukri and LinkedIn dominate the recruitment landscape, with a mean overall satisfaction score of 3.71 out of 5. Approximately 68.7% of respondents affirmed that AI-based tools significantly enhance hiring efficiency. Key challenges identified include lack of quality profiles, time-consuming processes, and high operational costs. The study concludes with strategic recommendations for optimizing recruitment tool effectiveness in technology-driven organizations.

How to Cite this Paper

G.K.Deepa, (2026). Study on Effectiveness of Recruitment Tools at Virtusa. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i3.284

G.K.Deepa, . "Study on Effectiveness of Recruitment Tools at Virtusa." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i3.284.

G.K.Deepa, . "Study on Effectiveness of Recruitment Tools at Virtusa." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i3.284.

Search & Index

Google Scholar Crossref DOI ResearchGate

References


  1. Sullivan, (2004). The Definitive Guide to Sourcing and Recruiting. Talent Management Press.

  2. Chapman, D. S., and Webster, J. (2003). The use of technologies in the recruiting, screening, and selection processes for job candidates. International Journal of Selection and Assessment, 11(2-3), 113–120.

  3. Parry, E., and Tyson, S. (2008). An analysis of the use and success of online recruitment methods in the UK. Human Resource Management Journal, 18(3), 257–274.

  4. Holm, A. B. (2012). E-recruitment: Towards an ubiquitous recruitment process and candidate relationship management. Zeitschrift für Personalforschung, 26(3), 241–259.

  5. Raghavan, , Barocas, S., Kleinberg, J., and Levy, K. (2020). Mitigating bias in algorithmic hiring: Evaluating claims and practices. Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, pp. 469– 481.

  6. Tambe, P., Cappelli, P., and Yakubovich, V. (2019). Artificial intelligence in human resources management: Challenges and a path forward. California Management Review, 61(4), 15–42.

  7. Bharadwaj, S., and Yameen, M. (2021). Applicant tracking systems and their impact on recruiter productivity: Evidence from IT sector organizations. Journal of Human Resource Technology, 14(2), 78–94.

  8. Bondarouk, T., and Ruël, H. (2009). Electronic human resource management: Challenges in the digital era. International Journal of Human Resource Management, 20(3), 505–514.

  9. Cappelli, (2019). Your approach to hiring is all wrong. Harvard Business Review, 97(3), 48–58.

  10. Lippman, A., and Rumelt, R. P. (2003). The payments perspective: Micro-foundations of resource analysis. Strategic Management Journal, 24(10), 903–927.

Ethical Compliance & Review Process

  • •All submissions are screened under plagiarism detection.
  • •Review follows editorial policy.
  • •Authors retain copyright.
  • •Peer Review Type: Double-Blind Peer Review
  • •Published on: Apr 03 2026
CCBYNC

This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.

View License
Back to Volume 02, Issue 04View All Issues Next Article

← Previous Article

Smarttour: An Explainable Ml-Based Tourist Recommendation System

Next Article →

Unified URL and QR Based Phishing Detection Framework
Scroll to Top