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Intellectual capital (IC) is beneficial to the improved performance of businesses, irrespective of their industry. The present study proposes to check if the use of IC can also help in improving the asset quality of banks. Thus, this study aims to examine the impact of IC and its components on non-performing assets (NPAs).

The study has been conducted with a sample of 30 Indian commercial banks and analysed over a time frame of 15 years (2004–2005 to 2018–2019). The modified value-added intellectual coefficient model has been used to measure the independent variables, IC, and its components. The dependent variable, NPA, has been represented by the net NPA ratio. Two-step system generalized methods of moments (SGMMs) have been applied for the regression analysis. Along with the short-term estimates provided by the SGMM approach, the long-term impact of explanatory variables on the dependent variables has also been seen.

The results of the study show that IC and its components are indeed helpful for the management of NPA, as they impact the problem loans negatively. Furthermore, the long-term benefits of IC in enhancing bank credit quality are more substantial.

The results from the present study can be used by bank management. The bank managers can draw inferences that the efficient application of IC can help them reduce their loan losses. Developing skills and knowledge of employees, maintaining close relations with stakeholders, significantly the customers, and putting more sophisticated processes and infrastructure to use can help banks to control their loan losses.

A major proportion of studies examining the role of intangible assets in various aspects of the banking sector focuses on the association between IC and the financial performance of banking entities. However, for banking institutions, apart from financial performance, improving credit quality is also imperative for staying afloat. Thus, to the best of the authors’ knowledge, the present study is one of the first to examine the relationship between knowledge-based assets (i.e. IC) and bank credit quality.

To promote gender equality, world leaders at the UN came up with Sustainable Development Goal 5 (SDG5). It proposes to eliminate discrimination against women by providing them with similar opportunities for reaching leadership positions. Hence, this study aims to examine the contribution made by women transformational leaders to their employees’ performance. The study seeks to emphasize the role played by female leaders in the on-job performance of employees and their mental well-being by encouraging intrinsic motivation among them.

For the purpose of data collection, a questionnaire was sent through Google Forms to the employees who had females as their superiors or in the decision-making position. Data from a final sample of 517 respondents was gathered, on which SEM was applied to analyze the direct impact of transformational women’s leadership on employee performance and the indirect impact through the mediation of intrinsic motivation.

The study found that by having feminine traits, women are stronger transformational leaders as they encourage individuals to be self-motivated instead of getting stimulated because of some external incentive. Also, such a leadership style ensures better work performance and mentally healthier employees. In addition, transformational women's leadership creates a better work environment by inspiring a teamwork culture instead of individualism.

The study has implications for not just researchers but other stakeholders as well. The study is useful for organizations as it directs them to hire and promote more women for leadership positions. Also, the results hint that people prefer working for women-led organizations as it will ensure a healthier work atmosphere.

There are many studies from earlier times related to transformational leadership. However, female leadership and the role it plays for employees have not gotten their fair share of attention. Thus, to the best of the authors’ knowledge, the present work is one of the very few where contributions made by women transformational leaders have been assessed.

India is not geographically close to either Russia or Ukraine. However, India's trade relations with them make it vulnerable to the consequences of the war between these countries. Thus, the present study aims to examine the impact of the Russia–Ukraine war on various sectoral indices of the Indian economy.

Event study methodology has been used in this study for analysis. The date of the war announcement is the event day. The sample studied includes ten sectors of the Indian economy listed on the National Stock Exchange (NSE). Results correspond to the period of −167 days to +20 days of the announcement of the war, i.e. from June 25, 2021, to March 28, 2022.

Almost all the sample sectors earned significantly positive abnormal returns in the post-event period. The metal industry has led this group by showcasing the highest abnormal returns. Though Indian sectors made overall positive returns, the market soon corrected itself and abnormal returns were wiped out.

These results can benefit portfolio managers, analysts, investors and policymakers in hedging risks and selecting suitable investments during increased global uncertainty. The study's conclusions help policymakers establish an institutional and supervisory framework that will make it easier to spot systematic risks and reduce them by putting countercyclical measures in place.

India has no geographical proximity or trade relations with Russia or Ukraine, as strong as any other European country. However, Russia has remained a strong ally to India in the trade of defense equipment. Similar is the case with Ukraine, a significant global partner for India. Thus, the impact of conflict between these two countries has not been limited to Europe only but has also engulfed related economies. Hence, the present study is one of the first attempts to examine the burns sustained by the Indian economy due to this war.