Modelling the impact of intellectual capital on financial performance: a case of Russian banking companies

Abstract

Relevance. The knowledge economy in developing countries like Russia and India is dynamic and ever-changing. By researching the relationship between intellectual capital and financial performance, banks can create plans to manage their intangible assets efficiently, improving their financial performance, spur more innovation, and providing them with a competitive advantage.

Research objective. This research aims to study the impact of the intellectual capital of the top banking companies in Russia and India on their financial performance. This research will investigate the potential effects of the following knowledge economy quirks on the correlation between financial performance and intellectual capital.

Data and methods. This study includes a sample of the top eleven Russian banking companies constituents of the Moscow index and equivalent number of Indian Banking companies constituents of National Stock Exchange of India from 2011 to 2022. PLS-PM analysis has been employed to identify the intellectual capital components that predict the firm's performance and the effect of intellectual capital components on the firm's financial performance.

Results. The path model results validate the model fit and provide compelling evidence for the Intellectual Capital framework's theoretical underpinnings. The study offers evidence from the Russian and the Indian banking sector that intellectual capital significantly impacts performance.