At present, the Indian banking sector is facing an arduous time in the form of an increasing trend in non-performing assets (NPAs), which is testing its strength and resilience. The present study aims to explore the NPA–profitability relationship for the Indian banking sector, so as to determine the gravity of the impact that NPAs have on bank profitability. Further, other bank-specific, industry-specific and macroeconomic factors impacting banking profits have been taken under consideration. A balanced panel data set comprising 37 scheduled commercial banks of India over a time frame of 14 years (2005–2018) has been used for the purpose of required analysis. Conclusions have been drawn employing fixed effect and random effect panel regression models. Due to the presence of heteroskedasticity, results for robust standard error have been reported. A highly negative correlation exists between NPA and the two profitability measures return on assets (ROA) and return on equity (ROE). The results of this study have established NPA as the major detractor of banking industry’s profits because NPA carries the most negative regression coefficient which is highly significant. It implies that declining credit quality hampers banks’ performance and leads to their collapse.
The current work seeks to explore the relevant factors that influence intention to use FinTech, i.e., perceived risk, benefit and trust keeping perceived effect of COVID-19 as moderator in India. Data have been collected using a structured questionnaire. The data collected have been validated using the validity and reliability techniques. Factor analysis and path analysis have been performed to test the research model, and finally, interactive moderation effects of the COVID-19 have been examined. Outcomes of the study showed that intention to use FinTech services has positively significant impact with perceived benefits and trust and negatively significant impact with perceived risk. The findings identify the key dimensions related to factors effecting intention to use FinTech and therefore, must be paid attention to by service providers in motivating their consumer to use financial technology. In addition, results will assist managers at FinTech companies to understand the importance of these services during COVID-19 pandemic.
Purpose 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). Design/methodology/approach 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. Findings 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. Practical implications 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. Originality/value 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.
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