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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM.GSTCOS048
Volume:
10 |
7 |
Jul 2026
Pages:
1-9
Publication Frequency:
Monthly (12 issues per year)
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.
Department of MBA,
CMR Technical Campus, Kandlakoya, Medchal, Hyderabad.
Department of MBA,
CMR Technical Campus, Kandlakoya, Medchal, Hyderabad.
The present study empirically investigates the effect of Virtual Reality (VR) aided training on employee skill retention within the service sector, with specific reference to Tech Mahindra, a leading global IT services organization. Grounded in experiential learning theory and the constructivist pedagogical framework, this research adopts a quantitative methodology utilizing a structured questionnaire administered to a purposive sample of 100 employees who had prior exposure to VR training programs. Statistical tools including frequency analysis, descriptive statistics, Pearson correlation, and simple linear regression were employed to analyze the data. The findings reveal a statistically significant positive correlation (r = 0.72, p < 0.05) between VR aided training and employee skill retention. The regression model further establishes that VR training accounts for 65% of the variance in skill retention (R² = 0.65, β = 0.81, p = 0.00), thereby confirming a strong causal relationship. The study also reports high levels of employee satisfaction (80%), enhanced practical engagement, and significant improvements in task confidence, problem-solving capacity, and reduction in retraining requirements. The paper concludes with strategic recommendations for human resource practitioners and organizational learning specialists to optimize VR-based training ecosystems in contemporary service sector environments.
KEYWORDS
This study provides comprehensive empirical evidence that Virtual Reality aided training exerts a significant, positive, and measurable impact on employee skill retention within the service sector. Conducted at Tech Mahindra with a purposively selected sample of 100 VR-trained employees, the research employed a rigorous quantitative methodology to establish both the correlational and predictive dimensions of this relationship. The findings demonstrate that VR training is not merely a technologically impressive novelty, but a pedagogically substantive intervention capable of transforming how service sector organizations develop, retain, and deploy human capital. The high satisfaction rates (80%), strong practical skill application (75%), and the identification of VR training as a driver of enhanced task efficiency, problem-solving capability, confidence, and reduced retraining requirements collectively paint a picture of transformative training impact. The regression model's confirmation that VR training accounts for 65% of the variance in skill retention outcomes establishes this technology as a primary determinant of training effectiveness, not merely a supplementary tool. For organizations operating in technology-intensive, customer-centric service environments — where the speed and durability of skill acquisition directly influence service quality and competitive positioning — this finding has profound strategic implications. As VR technology continues to evolve — incorporating artificial intelligence, haptic feedback, spatial audio, and real-time biometric monitoring — its capacity to deliver increasingly personalized and physiologically immersive training experiences will only deepen. Organizations that proactively embed VR into their learning and development strategy today are positioning themselves to sustain a durable competitive advantage through superior human capital development. The present study contributes to this trajectory by providing robust empirical grounding for the organizational adoption of VR-aided training as a cornerstone of contemporary human resource development practice.
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Publication Date
7/4/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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