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Impact of human capital on bank's failure prediction model: a study in the Indian context

Sukanya Wadhwa & Seshadev Sahoo

International Journal of Indian Culture and Business Management2026https://doi.org/10.1504/ijicbm.2026.151831article
AJG 1
Weight
0.50

What the paper says

This study investigates the link between bank failure and human capital efficiency in the Indian banking sector using generalised linear models. Analysing data from 238 Indian banks from April 1, 2010, to March 31, 2020, the research introduces new variables to enhance the existing bank failure prediction model. Key findings highlight the crucial role of managerial expertise in predicting bank failure, the preventive impact of higher liquidity, and the significance of top management quality. Notably, this study is the first to explore the relationship between bank failure and human capital in the Indian context, providing valuable insights for understanding and predicting banking stability.

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https://doi.org/https://doi.org/10.1504/ijicbm.2026.151831

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@article{sukanya2026,
  title        = {{Impact of human capital on bank's failure prediction model: a study in the Indian context}},
  author       = {Sukanya Wadhwa & Seshadev Sahoo},
  journal      = {International Journal of Indian Culture and Business Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijicbm.2026.151831},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.