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This study aims to examine empirically the nature of supply chain disruptions caused by the COVID-19 pandemic, particularly on the Indian automobile sector.

The authors evaluate the stock market performance of individual company and its quantitative relationship to certain variables related to company’s supply chain.

The authors analysed the company’s operations considering several ratios like asset intensity, company size, labour intensity and inventory to revenue.

The results of analysis can help the companies to understand how disruptions in the supply chain can affect the company’s operations and how it is perceived by the investors in the stock market.

Also, investors are benefitted, as they can understand how different companies with different operational characteristics react to global disruptions in supply chains, which in turn would help them to find better investment opportunities.

Although there is some literature available on the qualitative as well as quantitative analysis, the authors go further to analyse the impact of supply chain disruption on the stocks of the automobile sector.

This study aims to evaluate the structural oil shocks effect on stock returns of Indian renewable energy companies across market conditions.

This study applies the structural vector autoregression model to estimate sources of oil shocks such as oil supply shock, aggregate demand shock and oil price-specific demand shock. In the next step, the panel quantile regression model estimates the effect of these oil shocks on stock return across market conditions. Monthly data are collected from January 2009 to December 2019. All renewable energy companies listed on the National Stock Exchange of India are considered for the analysis.

In the whole sample analysis, this study finds that oil shocks negatively affect stock returns in most of the market conditions except oil price-specific demand shock. In sub-groups, oil shocks driven by supply and aggregate demand also negatively affect stock return in most market conditions. This study finds the positive interaction of oil price-specific demand shock. A majority of these positive interactions happen in bearish market conditions. In the whole sample, the asymmetric effects of shocks driven from oil supply and oil price-specific demand are seen in most quantiles or market conditions. At the same time, aggregate demand shock does not affect asymmetrically. In the sub-group analysis, standalone renewable energy companies stock returns are least asymmetrically affected by these oil shocks. The asymmetries of oil supply-driven shock on stock returns of the renewable energy sub-group companies are found in most quantiles.

First, this is a company-level study of the stock returns response to the structural oil shocks in the renewable energy sector. Second, to the best of the authors’ knowledge, this type of study is the first in the Indian context. Third using panel quantile regression model along with capital asset pricing model framework, the authors investigate these effects across market conditions.

This study aims to investigate the relationship between oil prices and stock returns of renewable energy firms in India under different market conditions.

The authors use the panel quantile framework with Fama–French–Carhart’s (1997) four-factor asset pricing model. All renewable energy firms listed in the National Stock Exchange of India are considered in this study. Three oil prices, such as West Texas Intermediate spot price, Europe Brent oil price and Indian basket oil price, are used in the regression. The analysis is done for the whole sample and its subgroups.

In the whole sample, stock returns of renewable energy firms respond positively to oil price changes in extreme market conditions only. In the subgroups of the renewable energy firms, the relationship between stock returns and oil price is positive and more robust in higher quantiles across all subgroup firms.

The contribution of the study is explained as follows. First, this study helps to explore the relationship between oil and stock returns of the renewable energy sector under different market conditions in the Indian context. Second, existing studies explore the effect of oil prices on stock returns of the renewable energy sector at the industry level, and most of the studies are in developed countries. To the best of the authors’ knowledge, this is the first study in the context of India. Third, this is a firm-level study

This paper aims to describe how social capital is mobilized in the mediation of periurban water insecurity induced by urbanization and climate change. Investing in social capital through the process of creating mechanisms for civic engagement is an important means of building resilience of periurban communities.

This paper draws on ethnographic and action research. The main sources of data were direct observation of water appropriation and access and semi-structured interviews. Convenience, snowball and theoretical sampling were used.

The residents of periurban Gurgaon have lost access to water on account of urbanization and climate change. In this context, they mobilize social relationships to collectively improve their access to water. Norms of cooperation and kinship play an important role in the mediation of water insecurity. Creating social capital by building platforms for civic engagement helped to improve their water security.

While there has been much interest in issues of periurban water insecurity, the role of social capital in the mediation of water insecurity has received scant attention. At the same time, while scholars have been interested in the role of social capital in adapting to the impacts of climate change, it has scarcely been studied in a periurban context. This paper seeks to bridge this research gap.

The purpose of this study is to test the relationship between abusive supervision and employee’s knowledge hiding behaviour among Indian information technology (IT) employees. The paper also strives to theoretically discuss and then seek empirical evidence to the two mediational paths (namely, psychological contract violation and supervisor directed aggression) that explain the focal relationship between abusive supervision and knowledge hiding.

To test the proposed hypotheses, the study draws cross-sectional data from Indian IT employees working in various IT firms in India. Data were collected at two time points (T1 and T2) separated by one month to counter the priming effect and neutralize any threat of common method bias. The final sample of 270 valid and complete responses was analysed using SmartPLS 3 to test the hypotheses.

Results showed that abusive supervision is positively related to employee’s knowledge hiding behaviours. Also, both psychological contract violation and supervisor directed aggression partially mediates the abusive supervision-knowledge hiding behaviour linkage.

First, the current study has tested the positive relationship between abusive supervision and knowledge hiding behaviours unlike most of the previous investigations that have focussed on knowledge sharing behaviour (the two are different constructs having different antecedents). Second, the study also empirically investigated the two parallel mediational routes, namely, psychological contract violation and supervisor directed aggression that explains the blame attributed by the beleaguered employee that led to covert retaliatory behaviour, such as knowledge hiding.

This paper examines Aman Ullah’s contributions to robust inference, finite sample econometrics, nonparametrics and semiparametrics, and panel and spatial models. His early works on robust inference and finite sample theory were mostly motivated by his thesis advisor, Professor Anirudh Lal Nagar. They eventually led to his most original rethinking of many statistics and econometrics models that developed into the monograph Finite Sample Econometrics published in 2004. His desire to relax distributional and functional-form assumptions lead him in the direction of nonparametric estimation and he summarized his views in his most influential textbook Nonparametric Econometrics (with Adrian Pagan) published in 1999 that has influenced a whole generation of econometricians. His innovative contributions in the areas of seemingly unrelated regressions, parametric, semiparametric and nonparametric panel data models, and spatial models have also inspired a larger literature on nonparametric and semiparametric estimation and inference and spurred on research in robust estimation and inference in these and related areas.

The agricultural sector in any country plays an important contributor to national output along with its high absorbability of the working population. In the agricultural sector, paddy production holds a major share in the total output in countries like India. The growth and stability of the paddy production at the national level depends on the same factors at the sub-national levels such as the provincial and district levels. The present study focuses first on the stability analysis of the quantity of food production and irrigation facilities in the top 10 rice-producing states in India and then on the stability of yield rates in three varieties of paddy production, Aus, Aman, and Boro, and irrigation facilities across the blocks in the Paschim Medinipur district of West Bengal, as a special reference. The analyses involves the evaluation of the growth and stability using Coppock’s method and trend analysis. It is found that Uttar Pradesh and Andhra Pradesh have a positive significant correlation between irrigation facilities and paddy production. From this study, it is also found that the correlation between changes in the yield rate of Aus, Aman, and Boro production and changes in irrigation is positive and significantly related to each other for Garbeta 1, Garbeta 3, Keshiary, Kharagpur 2, Chandrakona 1, and Chandrakona 2 blocks in Paschim Medinipur district under West Bengal. Therefore, the results recommend that the government should focus on irrigation facilities in those areas where the benefits of irrigation facilities are fully realized.

This study aims to better understand the influence of various post-treatments on the microstructure and mechanical properties of additively manufactured parts for critical applications.

In this study, Laser Powder Bed Fusion (LPBF) fabricated Inconel 718 (IN718) samples were subjected to various heat treatments, namely homogenization, solution heat treatment and double aging, to investigate their influence on the microstructure, mechanical properties and fracture mechanism at an elevated temperature of 650 °C. Homogenization treatment was performed at 1080 °C for durations ranging from 1–8 h. The solution treatment temperature varied from 980 °C to 1140 °C for 1 h, followed by double aging treatment.

At 650 °C, the as-built sample showed the minimum strength but demonstrated the maximum elongation to failure compared to the heat-treated samples. The strength of the IN718 superalloy increased by 20.26% to 34.81%, while ductility significantly reduced by 65.26% to 72.89% after various heat treatments compared to the as-built state. This change is attributed to the enhancement in grain boundary strength resulting from the pinning effect of the intergranular δ-phase.

The study observed that the variations in the fracture mechanism of LPBF fabricated IN718 depend on the duration and temperature of heat treatment. This research provides a thorough overview of the high-temperature mechanical properties of LPBF fabricated IN718 subjected to different homogenization times and solution treatment temperatures, correlating these effects to the corresponding changes in microstructure.

This study examines the effect of crucial factors (benefits and sacrifices) influencing employees' perceived values (hedonic and utilitarian) towards metaverse meeting platforms. Further, the study investigates the impact of employees' perceived values (hedonic and utilitarian values) on behavioral intention to use metaverse meeting platforms. The study also examines how behavioral intention to use metaverse meeting platforms influences organizational SDG achievement. Finally, the authors analyzed the moderating impact of employee creativity.

Data were collected from 228 participants through structured questionnaires, and the hypotheses were examined using the structural equation modeling approach.

Social presence and technostress are significantly associated with perceived hedonic value. Further, social presence, exhaustion and technostress are significantly associated with perceived utilitarian value. Similarly, perceived hedonic and utilitarian value is significantly associated with behavioral intention to use metaverse meeting platforms. Further, behavioral intention to use metaverse meeting platforms is also significantly associated with SDG achievement.

The study enriches the existing literature pertaining to the metaverse, strategic human resources, sustainability, employee creativity and technology adoption. The research also enriches the value-based adoption (VAM) and stimulus-organism-response (SOR) theories.

This research aimed to study the impact of compensation on employee retention and turnover intentions among healthcare employees. The study also tested the mediation role of job satisfaction in the relationship.

In the present study, self-administrated questionnaires were distributed among 600 doctors working in public hospitals of Pakistan, following stratified sampling. The data analysis was conducted through SPSS and smart-PLS.

Results of the present study supported all the hypotheses (H1–H7), such as the significant relationship of compensation with employee retention and turnover intentions. Results further confirmed the mediation effect of job satisfaction between compensation and employee retention as well as compensation and turnover intentions.

This study is useful for policymakers and organizational managers since the study provides guidelines on employee retention and high turnover intentions and how these factors are influenced by improved compensation.

This study sheds light on the relationship of compensation together with employee retention and turnover intentions through the mediating role of job satisfaction in healthcare context, which was overlooked in the existing literature.