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Stream/Area:
-
Subject:
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Paper ID:
IJSREM62008
Volume:
10 |
4 |
April 2026
Pages:
1-10
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 Applied Economics
Shri Jai Narain P.G. College, (KKC), Lucknow,
Department of Applied Economics
Shri Jai Narain P.G. College, (KKC), Lucknow,
This study examines the relationship between sectoral revenue diversification and growth performance of Tata Consultancy Services and Infosys during the period 2021–2025. Using secondary data from annual reports, diversification is measured through the Herfindahl–Hirschman Index (HHI), while growth is assessed using year-on-year revenue growth and compound annual growth rate (CAGR). The study further employs correlation and regression analysis to evaluate the impact of diversification on growth. The findings reveal that TCS follows a relatively concentrated revenue structure, whereas Infosys maintains a more diversified portfolio. Despite these differences, both firms exhibit similar growth trends over the study period. The empirical results indicate a negligible relationship between diversification and growth, as evidenced by a low correlation coefficient and statistically insignificant regression results. The study concludes that sectoral diversification does not significantly influence growth performance in the Indian IT sector. Instead, growth appears to be driven by firm-specific strategies and market dynamics. The findings contribute to the understanding of diversification–performance linkage in service-oriented industries.
KEYWORDS
The empirical analysis examines whether sectoral revenue diversification, measured using the Herfindahl–Hirschman Index (HHI), influences growth performance for Tata Consultancy Services and Infosys over the period 2021–2025. The results reveal clear differences in diversification structures. TCS exhibits relatively higher HHI values (0.225–0.238), indicating a more concentrated revenue profile, whereas Infosys maintains lower HHI levels (0.204–0.209), reflecting a more diversified sectoral distribution. Despite these structural differences, both firms display comparable growth trajectories, with strong growth in the initial years followed by moderation in later periods. The statistical analysis provides no evidence of a meaningful relationship between diversification and growth. The correlation coefficient (r = 0.02) indicates an almost negligible association between HHI and revenue growth. This finding is reinforced by regression results, where the coefficient of HHI is statistically insignificant (p = 0.969) and the model explains virtually none of the variation in growth (R² ≈ 0.0003). Accordingly, the null hypothesis of no relationship between diversification and growth cannot be rejected. These findings suggest that sectoral revenue diversification does not serve as a primary driver of growth in the Indian IT sector. Instead, growth performance appears to be influenced by firm-specific and market-driven factors such as demand conditions, technological capabilities, and client acquisition strategies. The evidence also indicates a trade-off between stability and flexibility: a relatively concentrated structure, as observed in TCS, is associated with stable growth, while a more diversified structure, as in Infosys, corresponds with greater variability but not necessarily superior performance. From a managerial perspective, the results imply that diversification should be approached as a risk management strategy rather than a growth-maximizing tool. Firms should focus on strategic allocation of resources toward high-demand sectors while maintaining operational efficiency and core competencies. However, the findings should be interpreted with caution due to the limited sample size and short time horizon. Future research may extend this analysis by incorporating a larger set of firms, longer time periods, and additional performance variables to better capture the diversification–performance dynamics.
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Publication Date
4/30/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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