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The main purpose of this paper is to produce high‐nitrogen martensitic stainless steels (HNMSS) using a conventional induction furnace with better mechanical properties and to improve the properties by thermo‐mechanical treatment (TMT).

Production of two types of HNMSS alloys with Chromium – 8.22 and 15.84 wt% was carried out using a conventional melting furnace. The theoretical nitrogen solubility of the produced alloys was calculated and compared with the actual nitrogen solubility of the alloys. The produced alloys were subjected to TMT, characterized by hardness measurement, tensile testing micro examinations in the as cast, hardened, TMT treated and TMT hardened and tempered conditions.

The actual nitrogen solubility achieved in the HNMSS specimens was in agreement with the calculated theoretical nitrogen solubility using thermodynamic relationships. Thermo‐mechanically treated specimens exhibited the break‐up and refinement of the original coarse cast structure by repeated recrystallization as fine grain size in the austenitic condition and reduced proportion of residual deformed δ ferrite. Thermo‐mechanically treated, hardened and tempered specimens showed higher hardness up to 525 VHN, with strength and toughness.

In the conventional melting process, purging nitrogen into the melt and increasing the percentage of nitrogen is the primary limitation and retaining the same into the solution during thermo‐mechanical treatment is the secondary limitation.

Work on melting of nitrogenated steels using controlled atmospheric conditions with special equipment was carried out earlier. This practice cannot be adopted on a commercial basis, where mass production is the prime requirement. Therefore, the uniqueness of this paper lies in communicating the melting practice of HNMSS using a conventional induction furnace followed by the optimum TMT. This takes the production and TMT of HNMSS into the commercial casting industry for mass production.

This paper aims to analyse trends and determinants of NPAs in India's banks. It has empirically examined the bank-specific determinants of NPAs.

An FE panel estimation of a sample of 44 banks was carried out for the post-crisis time period, from 2010 to 2020 to identify the bank-specific determinants of NPAs. The sample of 44 banks includes 20 PSBs, 19 private banks and 5 foreign banks. Separate FE estimation was also carried out to identify the drivers of NPAs in PSBs.

The determinant of NPAs during the post-crisis period suggests that faulty earning management and deterioration in loan quality have resulted in high NPAs in India's banks. The result is similar for PSBs as well.

The findings of the study suggest that the banks, especially the Public Sector Banks (PSBs) need to revisit their earning management strategies to maximise income and improve their loan quality in order to reduce the incidence of loan failure.

The paper contributes by empirically analysing the determinants of NPAs during the recent decade, between 2010 and 2020. Separate estimations have been carried out to understand whether the drivers of NPAs differ in the case of PSBs.

We empirically investigate the forecasting ability of USD-INR exchange rate volatility models by considering Google Trends data. Within a multiple regression framework, we use historical volatility and liquidity measures to build our benchmark volatility model (Chandra & Thenmozhi, 2014). Moreover, we extend Bulut (2018) to incorporate indexes for 15 keywords (price-related, income-related, and liquidity-related) from Google Trends data into our benchmark volatility model to evaluate the forecasting ability of the models. Our results indicate that Google Trends data can improve volatility prediction and that among the groups of keywords that we consider, the price-related keywords have the best forecasting ability. Incorporating data on searches for “prices” into the model produces the highest reduction in the forecasting error: a 22.75% decrease compared to the level in the benchmark model. Hence, these empirical findings indicate that Google Trends data contain information that influences exchange rate movements.

This paper aims to identify specific corporate governance determinants of asset quality in the Indian banking system and suggest a future course of action for research in the Indian banking industry. The results will guide other developing nations to handle poor asset quality in banks. Nations with economic interest in India can take cognisance from the results.

The authors identify the determinants of asset quality for the Indian banks using novel data from 2010 to 2019 through a dynamic panel data approach. The authors analyse 45 public and private sector banks using general method of moments.

The results indicate that intensity of board activities, board functioning and ownership concentration are significant determinants of asset quality. Furthermore, the study hypotheses on board independence and board size are rejected as they do not significantly impact the asset quality. The authors also call for further research on the qualitative aspects of gender diversity, board independence and special committee activity for better insights.

This is the first study to identify specific corporate governance determinants of asset quality for the Indian banking system using a dynamic panel data approach with data spanning over ten years from 45 banks. Unlike all other studies, the authors have used both bank-specific and macroeconomic variables as control variables, making the results accurate and reliable. The authors also recognise the persistent nature of asset quality.

The coronavirus disease 2019 (COVID-19) pandemic adversely affected small and medium-sized enterprises (SMEs) in India. Amongst the challenges faced were the adjustments required in leadership skills to address pandemic-induced technological changes and the necessity for employee skill upgrading. This study examined the factors that influenced organisational performance in Indian SMEs, particularly in the context of the digital transformations that were brought about by the pandemic.

The study employed a cross-sectional design to investigate a set of hypotheses that were formulated to understand the relationships amongst digital leadership, digital training, empowerment and organisational performance. The data were collected during the pandemic from 487 employees who were working in various SMEs in India. Questionnaires were distributed through email and social media platforms, and electronic consent was obtained from each participant.

The study's findings indicated positive associations amongst digital leadership, digital training, empowerment and organisational performance. They also highlighted the mediating role of empowerment in these relationships. Furthermore, organisational resilience was found to positively moderate the relationship between empowerment and performance.

The study stands amongst the pioneers in exploring the role of digital leadership and digital training during the pandemic and their impact on employee empowerment amongst SMEs in a developing country.

This study aims to examine the effectiveness of governance in state-owned enterprises (SOEs) and explores if board independence enhances the firm value of SOEs in India and China. The study further explores the moderation impact of promoter ownership in enhancing firm value.

The study is confined to government-owned enterprises in India and China and is based on a sample of 53 central government-owned firms listed in National Stock Exchange of India and 110 state-owned firms listed in Shanghai Stock Exchange of China for the period 2010–2017. A fixed-effect panel regression analysis has been used to examine the effect of board independence on firm value.

The study found that board independence adds value to the SOEs in India and China and the presence of independent directors (IDs) in the board of SOEs act as better monitors of performance to protect the interest of minority shareholders. Probably, they minimize agency conflict and provide resources to the firm and management. The greater the government shareholdings, the board independence further enhances value of SOEs in India and China.

Compliance with guidelines on IDs in SOEs serves as an effective corporate governance mechanism and the presence of IDs can signal better firm performance. The government promoters align with the IDs in better monitoring of SOE performance.

The study is unique and contributes to the literature by examining the impact of board independence on firm value in the context of SOEs in India and China and also provides insight on the effect of promoter ownership on the effectiveness on board independence.

The purpose of this paper is to empirically examine the influence of women’s land ownership status on their inclusion in developing economies.

The study adopted a cross-sectional analysis. Data were taken from Global Findex data of World Bank and Indices of social development. Data were analysed using limited information maximum likelihood to establish the relationship between usage of basic financial services and women’s land ownership status variables. The study considers different demographic, social and economic factors as control variables. Socio-economic gender equality index and land ownership status of men are considered as instrumental variables in the estimations for controlling endogeneity problem.

The study proves that there is a significant influence of women’s land ownership status on their demand and usage of basic financial services. The results show that women who own land alone have a significant relationship for formal account ownership and formal savings but are deprived of formal and informal credit. The results find that women are more likely to avail of formal credit when they are backed by someone else in the family especially men. Irrespective of the wealth quintile to which women belong, they are deprived of credit if they do not own any land. The findings also show that women in higher wealth quintiles are more active in availing credit.

The study is limited to the extent of influence of women’s land ownership status on their demand for basic financial services.

The study recommends appropriate economic and financial policies to encourage women to own, possess and use their land for personal as well as entrepreneurial activities. The study also suggests for policies to encourage women for joint ownership of land for better credit availability.

Formal institutions must be more favourable for women in providing credit facilities because women play an essential role in economic development in developing economies.

This study is the first of its type in providing empirical evidence that women’s land ownership status influences their demand for basic financial services in developing countries.

Emerging market multinational companies have been vigorous in pursuing inorganic growth through cross-border acquisitions (CBAs). The fundamental studies till now have portrayed that rapid internationalization through CBAs tends to create value for these emerging market firms (EMFs) in the short term. However, there is an ambiguity about whether these firms endure better performance in the long term. The purpose of this study is to assess the long-term (ex-post) financial and operating performance of EMFs involved in overseas acquisitions before the COVID-19 pandemic hit the world economy.

CBAs completed by Indian and Chinese companies constitute the sample of the study. The performance has been analysed during the pre-COVID period spanning 17 years from 2001 to 2017. A comprehensive set of 14 financial ratios has been used to represent change (improvement/decline) in enterprises’ post-acquisition operating performance; these ratios have been divided into four broad groups: profitability, efficiency, solvency and liquidity ratios.

The performance of Indian companies has deteriorated significantly after the acquisition. However, there has been no change (deterioration/improvement), subsequent to CBAs, in the profitability of Chinese firms.

The findings of the study support that firms from emerging economies exploit CBAs as a “springboard” to obtain strategic assets including intangible resources and brands rather than to achieve synergies through economies of scale and scope. Apparently, outbound acquisitions by emerging economy firms are not driven by cost-reduction or revenue-generation activities.

None of the studies, to the best knowledge of the authors, has carried out performance analysis using a comprehensive set of financial ratios. The comparative study of two emerging economies is another valuable addition to the existing literature. The study holds the potential to serve as the benchmark to assess the performance of CBAs executed after COVID-19.

The purpose of this paper is to analyse the impact of female labour force participation (FLFP) in the access and usage of formal financial services by women.

The study uses cross-country data from 107 countries. The study uses multivariate regression (OLS) to explain the impact of FLFP on the financial inclusion variables. The study also accounted for different groups of country-level control variables. Instrumental variables regression is also used in the study to consider for endogeneity issues.

The results show that FLFP has significant influence on all of the financial inclusion variables used in the study. The role of financial literacy is prominent in determining women's access to sophisticated financial services such as debit card and credit card. Improving financial infrastructure of an economy facilitates greater access to formal account by women

From policymakers’ perspective, women should be motivated to enter labour market for better financial inclusion.

More opportunities for women to enter formal employment encourages female participation in labour market and benefits women and the economy.

This paper is the first of its kind to study the influence of FLFP on indicators of financial inclusion of women. The study extended the scope of access to financial services by considering access to bank account, debit card and credit card. The study also analysed use of financial services through digital platforms by women.

The purpose of this study is to ascertain how foreign and domestic Exchange Traded Funds (ETFs) investing in Indian equities affect their return volatility and pricing efficiency. Further, we investigate how the difference in market timings affect the impact of ETFs on their constituents. Lastly, we examine how these effects vary during tranquil and turmoil periods in the ETF markets.

The study is based on quarterly data for stocks comprising the CNX Nifty 50 Index from 2009Q1 to 2019Q3. The data on holdings of 45 domestic and 196 foreign ETFs in the sample stocks were obtained from Thomson Reuters' Eikon. The paper employs a panel-regression methodology with stock and time fixed effects and robust standard errors.

Foreign ETFs from North America and the Asia Pacific largely have an adverse impact on stocks' return volatility. In times of turmoil, stocks with higher coverage of European, North American and Domestic funds are susceptible to volatility shocks emanating from these regions. European and Asia Pacific ETFs are associated with improved price discovery while North American funds impound a mean-reverting component in stock prices. However, in turbulent markets, both positive and negative impacts of ETFs on pricing efficiency coexist.

To the best of the authors' knowledge, this is the first study that examines the impact of domestic as well as foreign ETFs on the equities of an emerging market. Furthermore, the study is unique as we investigate how the effects of ETFs vary in turbulent and tranquil markets. Moreover, the paper examines the role of asynchronous market timings in determining the ETF impact. The paper adds to the growing literature on the unintended consequences of index-linked products.