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The outbreak of the coronavirus disease 2019 (COVID-19) pandemic is an unprecedented shock to the BRICS (Brazil, Russia, India, China, South Africa) economy and their financial markets have plummeted significantly due to it. This paper adds to the recent literature on contagion due to spillover by uniquely examining the presence of pairwise contagion or volatility transmissions in stock markets returns of India, Brazil, Russia, China and USA prior to and during COVID-19 pandemic period.

In this study, the generalised autoregressive conditional heteroskedasticity (GARCH) by Bollerslev (1986) under diagonal parameterization is used to estimate multivariate GARCH framework also known as BEKK (Baba EngleKraft and Kroner) model on stock market returns of BRIC nations and the US.

The empirical results show that the model captures the volatility spillovers and display statistical significance for own past mean and volatility with both short- and long-run persistence effects. Own volatility spillovers (Heatwave phenomenon) have been found to be highest for the US, China and Brazil compared to Russia and India. The coefficients indicate persistence of volatility for each country in terms of its own past errors. The highest and long-term spillover effect is found between US and Russia. The results recommend that Russia is least vulnerable to outside shocks. Finally after examining the pairwise results, it is suggested that the BRIC countries stock indices have exhibited volatility spillover due to the COVID-19 pandemic.

The study may be extended to include other emerging market economies under a dynamic framework.

Researchers and policymakers may draw useful insights on cross-market interdependencies regarding the spillovers in BRIC countries' stock markets. It also helps design international portfolio diversification strategies and in constructing optimal portfolios during COVID and in a post-COVID world.

COVID-19 has been an improbable event in the history of the world which can have a large impact on the financial economies across the emerging countries. This event can be deemed to be informative enough to measure the co-movements of the equity markets amongst cross-country return series, which has not been investigated so far for BRIC nations.

The aim the study is to explore the impact of real exchange rate volatility and other macroeconomic variable such as price of import, industrial production and real exchange rate on 45 import commodities, considering global financial crisis period on India's import from the US. The empirical analysis at disaggregate level of import indicates the existence of both short-run and long-run effect in one-third importing commodities. The results show both positive and negative effect and causality among variables.

The study uses E-GARCH model to gage the real exchange rate volatility, an autoregressive distributive lag (ARDL) bound test technique to discover the adequate short- and long-run relationships and Toda-Yamamoto causality method to analyze the causality among variables. The study uses the time period from 2002:M09 to 2019:M06.

The empirical analysis at disaggregate level of import indicates the existence of both short-run and long-run effect in one-third importing commodities. The results show both positive and negative effects and causality among variables.

The finding of the study suggests that macroeconomic variables have significant role and could be important to undertake the small and medium scale industries in policymaking. Government may need to make decision for micro, small and medium enterprises (MSMEs) as their performance can bring change in the trade to compete globally by increasing and controlling the price of the import and defending the domestic competitiveness.

The study uses additional variable namely price of import and includes the global financial crisis period to measure dampening effect on each commodity by using robust econometric technique in context of emerging nation like India.

Despite being a global public–private partnerships (PPPs) leader, India faces a vast PPP divide at a sub-national level, wherein a few states receive the majority of PPP projects, whereas other states face severe issues in attracting PPP investments. This necessitates the identification of factors that make some states attractive to PPP investors. The purpose of this study is to construct a “PPP readiness index” at the Indian state-level, which aims to assess the readiness of states for the diffusion of PPPs.

Using a quantitative method on secondary data, the study scores 17 Indian states on dimensions such as experience with PPPs, physical infrastructure, financial sector development, market conditions, institutional quality and political stability and fiscal constraints for each of the years during 2009–2018. Principal component analysis is used for assigning weights to the dimensions, thereby arriving at the composite index.

Results highlight that Tamil Nadu and Maharashtra offer the most favorable environment for PPPs to flourish. In contrast, Jharkhand and Bihar are laggards because they score the least and have limited PPP experience.

The index will assist the private sector in conducting a comparative analysis between state-specific PPP arrangements, thereby enabling them to make informed decisions prior to forging PPP arrangements. Further, the index will help the state governments in improving their PPP readiness by following the policies of the leading states.

Improvement in PPP readiness of the states will enable higher PPP investments in infrastructure, thereby reducing infrastructure deficits. This, in turn, will lead to economic growth, development and an improvement in the quality of life.

To the best of the authors’ knowledge, this is the first study that comprehensively analyzes the PPP readiness at a sub-national level in India.

Despite being a global public–private partnerships (PPPs) leader, the Asian region is characterised by a wide PPP-divide, wherein select countries attract majority of PPP projects, while other countries fail to attract the requisite PPP investments. Against this background, the purpose of this study is to investigate the determinants of PPP projects in Asia.

Using quantitative methods on secondary data, this study analyses the macroeconomic determinants of value and number of PPPs in Asia for the period 2010–2019. The methodology relies on panel fixed effects, random effects, two-step system generalised method of moments and negative binomial regression.

Results underline the importance of the country’s experience with PPPs, physical infrastructure, financial sector development, market conditions, institutional quality and political stability in attracting PPP projects.

Identification of the determinants of PPPs will assist private investors in making informed decisions related to the selection of countries for PPP investments, thereby increasing the likelihood of a project’s success.

The results are expected to enable countries to formulate policies aimed at attracting higher PPP investments, thereby propelling economic development and improvement in the quality of life.

To the best of the authors’ knowledge, this is the first such study that comprehensively analyses the determinants of both value of PPP investments and number of PPP projects for Asian countries.

In view of the significance of public–private partnerships (PPPs) as a tool for bridging infrastructure deficits, it becomes imperative to study its determinants. The objective of this paper is to empirically study the determinants of PPPs in India at a subnational level, in terms of both number and value of PPP projects.

This study investigates the determinants of value and number of Indian PPPs at a subnational level for the period 2008–2017. The determinants are analyzed using two-step system generalized method of moments (GMM) and negative binomial regression. Select correlates examined are market size, fiscal compulsions, institutional quality, financial sector development and physical infrastructure.

The results indicate that fiscal compulsions, financial sector development and physical infrastructure influence PPPs favorably, whereas low institutional quality impacts PPPs adversely. A pertinent finding of this study is that the past value of PPPs lowers the current year's PPP value.

The findings are expected to assist subnational governments and policymakers in formulating policies that attract more PPP projects (in terms of both value and number).

This is the first study that analyzes the determinants of infrastructure PPPs at a subnational level in India.

The purpose of this paper is to investigate how employer brand experience (EBE) impacts organizational citizenship behavior (OCB). In addition, it aims to identify the mediating role of employee engagement (EE) in relationship between EBE and OCB.

To test the research hypotheses, a web questionnaire was developed and data were collected from 426 respondents working in the Indian banking sector. Hypotheses were tested using structural equational modeling.

EBE was positively related to OCB. The predicted mediating role of EE in the relationship between EBE and OCB was also supported.

The study is confined to the banking sector only, which limits the generalization of the findings.

The results imply that firms should leverage on various dimensions of employer brand (EB) i.e. compensation, work–life balance, working environment, training and corporate social responsibility to enhance EE and OCB.

The research is among the very few to confirm the role of EBE vis-à-vis current employees especially in a collectivist society like India. The study also confirmed the mediating role of EE between EBE and OCB which have not been studied previously.

The purpose of this paper is to demonstrate the role of livelihood assets, strategies and local social networks in disaster response and recovery in post-disaster setting of 2013 Kedarnath disaster (India).

It identifies post disaster macro-spaces of Mandakini river valley (India) using change detection analysis and secondary data. Within these macro-spaces, the micro spaces of livelihood and social capital were assessed by selecting two villages for case study.

Most important issues faced by communities were loss of lives, livelihoods and access to relief aid. A shift in economic base of families suffering loss of livelihoods was observed as they switched from pilgrimage-based to skill-based opportunities. Geographical location and isolation play a crucial role in recovery trajectory of villages by influencing the social capital.

The paper being case study based deals two of the worst-affected villages; livelihood strategies adopted and social network may be influenced by the “victim” status of villages and may not be generalized for each disaster-affected area.

Bridging and bonding networks were significant in geographically isolated places, while “linkages” were beneficial in bringing new livelihood opportunities. Need to enhance the role of social capital by institutional intervention in form of capacity building was required.

The study suggests focus on human capital-based livelihood diversification programs taking geographical location and disaster context into account.

The study was done to review the existing literature available on the theme using a popular technique known as a bibliometric review. The purpose was to explore important bibliometric trends such as geographical distribution of research; the most relevant countries and institutions and important collaboration networks, frequently published authors, the most relevant topics/research domains and relationships among these, average citations or per year, the most relevant sources, top authors’ production, authors’ impact by H index and the progression of important keywords over a period of time.

The study analyzed literature published in the English language from 2012 onwards that used the words “cryptocurrency”, “Ethereum” “Bitcoin” along with “investment/s” or “speculation/s” in the Title/ABS/KEY. A specialized approach was followed to retrieve and analyze focused research. The data for analysis was extracted from the Scopus database and was analyzed using Biblioshiny and VOSViewer.

The study found that the countries such as the UK, Australia, China and the USA have special relevance in terms of the number of citations and collaboration networks. Cryptocurrency/Cryptocurrencies, bitcoin have been the base themes along with other crucial issues such as volatility, hedging, COVID-19 pandemic, Ethereum, blockchain, co-integration, portfolio diversification/optimization, spillover, safe haven, investor attention, gold, etc. There is a lot of interdisciplinary research on the theme.

The current study used a concentrated approach to study the bibliometric literature about the financial implications of cryptocurrency as an asset class and not prominently its technological or legal aspects.

The purpose of the paper is to highlight the role of Artificial Intelligence (AI) in the healthcare industry through the Ayushman Bharat health protection scheme by analyzing various technologies being integrated to improve the customer service and experiences in India. The key focus lies on the understanding of the influence of AI in the healthcare system services, the clinical treatment, and the facilities to progress with accurate and precise health screening in India.

A systematic study on the emerging technologies of AI and the applications in the healthcare sector is presented in the form of a viewpoint.

AI certainly enhances experiential services; however, it cannot surpass the human touch which is an essential determinant of experiential healthcare services. AI acts as an effective complementary dimension to the future of healthcare.

This viewpoint discusses the applications and role of AI with the help of relevant examples. It highlights the different technologies being applied and how they will be used in the future focusing upon the Ayushman Bharat health protection scheme in India.

The purpose of this paper is to understand the role of entrepreneurial intention in promoting women entrepreneurship in Indian micro, small and medium enterprises (MSMEs). This study seeks to clarify the construct of entrepreneurial intention and then reports the validation of the entrepreneurial intention instrument.

An instrument has been designed and administered on a sample of 103 respondents across India from women entrepreneurs to understand the entrepreneurial intention by using cluster and snowball sampling. The data has been streamlined and then analyzed using descriptive analysis for validity and reliability checks.

This research was aimed to determine the constructs of entrepreneurial intention. Through data analysis, it has been observed that the reliability coefficients reveal the adequacy of the sample. The Cronbach’s alpha values for all the items in the instrument were found to be greater than or equal to 0.6. Strong correlations were also found between direct and indirect measures of entrepreneurial intention and hence confirmed that all the measures in the instrument were well constructed. Analysis has also explained the relationship between various constructs of entrepreneurial intention by using Pearson’s correlation coefficients. Strong and positive values of correlation explain the existence of the convergent and discriminant validity of the instrument.

The research results obtained from the analysis of reliability and validity tests not only provides the establishment of the relationship among the various constructs but also suggests that the model provides a promising potential to measure entrepreneurial intention. This study will contribute to new knowledge of the conditions of women entrepreneurship from different perspectives by developing and validating an analytic model for promoting the women entrepreneurship in MSMEs of India.

From a government perspective, this model will help in designing training programmes for promoting women entrepreneurship in India. The obtained result also brings significant implications for practice as well as raises a broad future direction for other researchers

Extended SCCT model has recently suggested an inclusive framework of factors affecting the entrepreneurial intention, there is not much attempt made in research using this theory as background for predicting intention in the context of women entrepreneurship. This paper attempts to fill this gap by formulating a conceptual model for measuring entrepreneurial intention among women entrepreneurs by integrating and adapting the constructs of extended social cognitive career theory model and entrepreneurial potential model.