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Purpose: Worldwide economies have been shattered by the alarming increase in Non-Performing Assets (NPAs) in Banking Sector. In India, the rise in NPA levels gives a clear insight into the health of industry and state. This study aims to determine how NPAs in India impact the profitability of eight banks chosen from the public and private sectors; specifically: Punjab National Bank (PNB), Bank of India (BOI), UCO Bank, Punjab and Sind Bank (PSB), HDFC Bank, Axis Bank, ICICI Bank, and Yes Bank; during the period 2009/2010 to 2017/2018.

Design/methodology/approach: The study utilised IBM SPSS version 20 application to carry out our statistical analysis of measures of central location (mean and median), measures of dispersion (standard deviation), to carry out the Kolmogorov–Smirnov test to check the normality of data, the Mann–Whitney U test (for two groups) for median comparison between private and public sector banks and the Kruskal–Wallis test (for more than two groups) for median comparison for more than two banks. p ≤0.01 and p ≤0.05 were the two-tailed significance level used for determining the significance of all statistical tests.

Findings: Trend analysis and statistical tests show that the trend in public sector banks to have NPAs is higher compared to private sector banks, and losses arising from NPA impact the banks’ profitability.

Practical implications: It is apparent that NPAs are a large threat to banks in India as it reflects the state of the Indian economy. The growth of the economic cycle is predominantly dependent on the smooth and profitable functioning of private and public sector banks. This current study focusses on and compares the impact of NPAs on the profitability of public and private sector banks. NPAs have grown exponentially more in the case of public sector banks than private sector banks, which has affected the former banks’ financial health and performance. Increases in the level of NPAs adversely affect the working style and long-term stability of public and private sector banks in the economy.

Social Implications: NPAs have a negative influence on the profitability of the banks as well as on the economic growth of the country too. However, it is recommended that management in the banking sector, particularly the public banks, should use various preventive and recovery strategies to reduce the risk of failure and to keep track of NPAs to stay safe.

Originality/value: This study aims to determine how NPAs in India impact the profitability of eight banks chosen from the public and private sectors; specifically: PNB, BOI, UCO Bank, PSB, HDFC Bank, Axis Bank, ICICI Bank, and Yes Bank; during the period 2009/2010 to 2017/2018.

The study aims to evaluate the financial distress position of selected sample banks in India. The top 10 banks with the highest levels of gross non-performing assets (NPA) under both public and private sector ownerships have been chosen for the study. Application of the Altman Z-score model has been used to compare both ownership banks’ financial distress for five years from 2017 to 2021. Based on the study’s findings, it was found that private sector banks demonstrated better financial stability than their public sector counterparts. Specifically, the average Z-score of the selected sample banks was higher than the safe zone threshold of 2.9 during the study period.

Purpose: The purpose of the study is to determine the significant difference between the performance of the Indian banks in pre coronavirus disease (COVID 19) and post COVID 19 periods. Further, it explores the impact of COVID 19 on the profitability of the Indian banks by investigating variation between the non-performing assets (NPAs) and the net profit of the banks during pre and post COVID 19 periods.

Need of the study: The COVID 19 outbreak has affected various industries including Indian banks which reported an increase in NPAs, and demand for credit which in turn impacted profitability. This study was carried out to examine the impact of COVID 19 outbreak on Indian banking sector.

Methodology: This study uses different banks’ NPA and net profits performance to examine the effect of COVID 19 on banks’ overall performance. The data have been collected from secondary sources, commercial websites, and websites of Indian banks (private and public sectors). t-Test was used to analyse the data.

Findings: Among public sector banks, Canara Bank was found to have a significant difference in net profit in the pre and post COVID 19 periods. In private sector banks, HDFC Bank showed a significant difference in the net profit in pre and post COVID 19 periods. For NPAs, all private banks showed no significant difference in pre and post COVID 19 period results.

Implications: The study revealed that both private and public sector banks in India were mildly affected by pandemic and most of them are significantly reporting no difference in net profit and NPAs during pre and post COVID 19 periods.

Purpose: The banking sector is facing a challenge in the quality of services rendered to the ultimate customers for the adoption of Fintech applications in an efficient way. Due to dynamic market conditions, it is difficult for the banks to win the heart of the customers. It can be done only by providing them with updated technological applications and excellent services. Here, service quality plays a major role in this regard. It acts as an optimum strategy for the service providers to attain the interest of their customers and change their perceptions towards the banks in a positive way by providing them satisfactory services. This chapter aims to critically analyse and assess the quality of banking services rendered for Fintech applications to the customers.

Design/Methodology/Approach: The study evaluated the preference for public/private banks for Fintech applications across various demographic factors. In this research, users of public or private banks have been considered as respondents who are using Fintech applications. The service quality of both banks has been measured using a service quality scale, i.e., SERVQUAL. With the help of the Questionnaire, data were collected from 100 respondents from Punjab State on a convenience sampling basis. The Chi-square method was used to check the preference for different types of banks across demographic profiles.

Findings: ‘Responsiveness’ and ‘Tangibles’ are the most significant service quality dimensions. The present study revealed that the preference towards public/private sector banks has no dependency on occupation but found dependence on age and education level.

Research Limitations/Implications: The present study merely concentrates on the banking sector’s service quality towards Fintech applications. It could be used for the security market, insurance and other sectors in the future period. The present study provides implications for future interdisciplinary research addressing the need for Fintech applications as Fintech has become the need of every industry.

Originality/Value: This study is conducted to explore the opportunities for Fintech in the banking sector vis-á-vis service quality. The authors anticipate that the current study will contribute to existing literature and thus become the reference for academicians, researchers and industry professionals.

Purpose: This chapter discusses the role and use of chatbots adopted by the different categories of banks (private and public sector banks) in India. The chapter presents brief essential services offered by Indian chatbots regarding accuracy, technology providers and virtual assistance, ways to connect, etc. This chapter concluded that most of the questions answered by the Indian chatbots are already available on the banks’ websites, and there is a need for enhancement in the capabilities of Indian chatbots.

Need for the Study: The need for the study is based on the working of banking chatbots, customer query handling, and the efficiency of the chatbots in India. The chapter helps to analyze the services offered by various banks.

Methodology: This chapter is based on secondary data collected from banks’ websites and articles from various journals. The study is based on nine banks (both private and public sectors) those are having working chatbots (SBI, HDFC Bank, ICICI Bank, Yes Bank, IndusInd Bank, Kotak Mahindra Bank, Axis Bank, Andhra Bank, Bank of Baroda). The present study is focused on chatbots, their services, and software applications for various customer-handling capacities.

Findings: The research concluded that Indian banks are investing a small amount in using chatbots, yet Indian chatbots are deficient regarding far too provincial administrations as they are adequate just for standard and basic inquiries. Also, Indian customers are not properly aware of chatbots and virtual assistance.

Practical Implications: This study provides an overview of the working chatbots in India (for both public and private sector banks) and their functions, as well as the capacities of these chatbots. The previous conducted studies are based on the uses, importance, and working of chatbots/artificial intelligence (AI) in banking. In this study, after discussing the different services, it is found that Indian banks need to update their AI/Virtual assistance with more features.

Introduction: Banking institutions are instrumental for lending support and steering the economy in the planned direction to achieve long-term goals. Sustainable development has become the focal point of new policies so that the economies attain inclusive growth. This needs substantial funding to accelerate industrial activity; hence, banks have to play a dominant role in helping such plans succeed. Banks need to look beyond their current framework and play a proactive role in promoting sectors focussed on sustainable development. Banks can prioritise lending to green initiatives to reduce carbon footprint, which will provide impetus to the goals laid out in the COP 26 United Nations (UN) Climate Change Conference. The chapter aims to identify the gap in investment for sustainable development and the funding support required from banks to help India achieve the desired sustainable goals. The chapter recommends that banks increase their green financing to provide the impetus for creating sustainable infrastructure.

Purpose: The present study aims to understand the banking sector’s importance in developing sustainable economic growth through lending practices. The study recommends certain practices for increasing focussed lending towards sustainable projects.

Methodology: In this study, the authors developed prepositions based on a literature review. Significant issues were raised based on the lending policies per the guidelines of Reserve Bank of India (RBI), and a solution was proposed by preparing a conceptual model.

Findings: The study offers a lending technique that can assist the financial sector in supporting sustainable economic growth.

The values and trends of the credit–deposit (C-D) ratio in countries and the states within them depend on several factors. Two such factors that the present study considers are the banks’ loanable funds locked under the heads of non-performing assets (NPA) and governments’ securities investments. Increases in the amounts of NPA and securities investments usually lead to a decrease in the allocations of bank credit to real investment purposes, such as industrial, service and agricultural activities and vice versa. On this background, this chapter examines the trends in bank credit in relation to the NPA and securities investments in the states of India and tries to find out the real cause of concern on the falling trends in the C-D ratio in the post-banking reform phase. We may now summarize that the falling C-D ratio or the rising quantity of flight of credit to the real sectors is closely associated with the banks’ investment of extra amount on securities over their statutory limits. This study finds that the NPA ratio at all-India levels is gradually declining while the investments on securities are increasing during the post-reform period. Such a craze behind this investment has an inevitable effect on the magnitude of credit delivery to the commodity-producing sectors. This means that the NPA threat is not a real threat to explain the downward trend of C-D ratio but the magnitude of security investments in both the central and state governments is a real threat and the downward trend of the C-D ratio is the result of this fact. Even though banks are safe in terms of their returns, the scenarios are not good for the rest of the economy as it creels their sustainability.

Non-performing assets (NPAs) are classified as loans and advances which are in default, either refund of principal or interest payments are not duly met. This not only leads to dishonour of loan agreement from the recipients' point of view but also huge NPAs result macroeconomic instability and economic crisis. The financial crisis may create hindrances towards achievement of sustainable development of an economy. Keeping NPA in balance sheet portrays lacunae in management of the lender. The non-recovery of interest and principal reduces the lender's operating cash flow, which upsets the budget and drops the earnings. Statutory provisions, set aside to cover probable losses, reduce the income further. When the non-recovery is determined to be definite in nature, they are written off against earnings of the lending institution. Thus, presence of NPAs in balance sheet gives a distress signal to the stakeholders of the lending institution. Under this consideration, the present study will look upon some of these issues related to NPA management in Indian banking sector. The main objective of this study is to discuss the nexus between the NPA of Indian scheduled banks for priority sector, non-priority sector and public sector and the gross domestic product (GDP) of Indian economy for the time period 2005–2020. To study this objective, the ratio analysis and the trend analysis of NPA of three sectors and GDP of Indian economy over the given time frame have been done. Finally, some policy prescriptions regarding achievement of sustainable development after taking into account NPA management of an economy have also been proposed.

Gender equality and women empowerment which are part of the United Nations Sustainable Development goals have attracted researchers and policymakers worldwide. Various programmes and interventions aiming at empowerment have been designed and implemented by both national and international agencies. One of the flagship programmes of NABARD introduced in the year 1992, the self-help group (SHG)–bank linkage model is also known for its impact on the availability of credit and empowerment of women. Later, the SGSY scheme was restructured into the National Rural Livelihood Mission (NRLM) in the year 2013. Initially, SHGs focussed on savings and credit linkage, but now the emphasis has been changed to generate livelihoods and economically empowering women on a sustainable basis through training women to establish micro-enterprises. In this facet, the journey of microfinance in empowering women is systematically analyzed. The state of Haryana has consistently outperformed other states in terms of economic and agricultural growth but it ranks poorly in terms of its key human development indicators. Despite high productivity and low poverty, the state faces challenges related to the health and nutrition of children. Literature provides evidence that the health and nutrition status of children and women is closely linked to women empowerment. Using secondary sources of data, we conclude that micro-finance can be a useful tool for empowering women provided the roadblocks are identified and the requisite support is provided to women entrepreneurs.