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The study examines the presence of the pollution haven or pollution halo hypothesis in Brazil, Russia, India, China and South Africa (BRICS) and Next-11 economies. Hence, it empirically tests the direct impact of foreign direct investment (FDI) on the ecological footprint. Further, it explores the moderating role of green innovation on the nexus between FDI and ecological footprint.

The study uses the Driscoll–Kraay (DK) standard error panel regression technique to examine the long-run elasticities amongst the variables for the group of emerging countries, BRICS and Next-11, during the period of 1992 to 2018. Further, statistical robustness is demonstrated using the fully modified ordinary least squares technique.

The empirical finding shows that FDI degrades environmental quality by raising the ecological footprint. Thus, it proves that FDI is a source of pollution haven in BRICS and Next-11 countries. However, green innovation negatively moderates the relationship between FDI and ecological footprint. That means the joint impact of green innovation, and FDI proves the presence of the pollution halo hypothesis. Further, renewable energy consumption is reducing the ecological footprint, but economic growth and industrialisation are worsening the environmental quality.

This study offers policy implications for governments and policymakers to promote environmental sustainability by improving green innovation and allowing FDI that encourages clean and advanced technology.

No prior studies examine the moderating role of green innovation on the relationship between FDI and ecological footprint in the context of emerging countries.

Introduction: Historically, the corporate governance (CG) framework was designed primarily to safeguard the economic interests of shareholders, as a result of political and legal interventions, developing into an effective instrument for stakeholders and society in general.

Purpose: The core objectives of the study include: identifying journals/publications responsible for publishing CG studies in India, key CG issues covered by CG researchers, the amount of high-impact CG literature across different time periods, sectors/industries covered by CG researchers and different research instruments (quantitative or qualitative) used in CG studies in India.

Design/methodology: The chapter used a sample of 130 corporate governance studies that fulfil the selection criteria, drawn from the repository of over 100 reputed journals that are either recognised by the Australian Business Deans Council (ABDC) or indexed by SCOPUS. A systematic literature review has been carried out pertaining to CG issues in India, based on various statistical tools, data, industries, research outlets & citations, etc.

Findings: The results show an overwhelming number of studies have assessed the relationship between CG variables and firm performance, which could be measured through a variety of performance metrics such as ROA and ROI. Apart from empirical analysis, many conceptual studies use repetitive basic statistical tools like descriptive statistics or regression analysis. The chapter offers insights into current achievements and future development.

Originality/value: This bibliometric study is a useful guide for policymakers, corporate leaders, research organisations and management faculty to draw insights from work produced by eminent researchers in GC in India.

India's manufacturing exports are heavily tilted toward primary and resource-based products, while its Asian peers have a significant proportion of high and mid-tech products in their export baskets. An attempt is thus made to understand the hurdles faced by technology-intensive exports by India, using gravity panel estimates on its high, mid, and low-tech exports, using data across 130 countries from 2001 to 2019. In line with the Knowledge Theories of trade, which postulate that technical and scientific knowledge and innovation provide trade advantages, this chapter also tries to understand how India fares on this front. We use Principal Component Analysis to construct an index which provides a relative understanding of India's technical and scientific knowledge base.

We conclude that nontariff measures (NTMs) are a stringent hurdle faced by Indian exports, especially in the European Union. Tariffs have the most debilitating effect on its mid-tech exports and the least on high-tech exports. Regional Trade Agreements (RTAs) are most effective in creating trade for mid-tech exports and least in case of low-tech exports. The index for ascertaining India's relative knowledge base shows that while India ranked 6th in 2017, much higher than its Asian peers, its high and mid-tech exports lagged behind these countries. This puzzle is explained by the fact that scientific research in India has very little industry collaboration and thus is out of sync with market needs. Hence, the prevalent scientific and technical knowledge in India does not have the expected favorable impact on its technology-intensive exports.

The volatility of exchange rate has generally been sighted as a primary cause for various shocks and instability in international trade of Ghana as witnessed over the years and most especially in recent times. Hence, owing to the increasing trade levels between Ghana and Ghana's global trading partners, the study aims to investigate if the trade–exchange rate volatility nexus in Ghana supports the positive, negative or ambiguous hypotheses?

The study investigates the effects of Ghana's exchange rate volatility on international trade by designing import and export equations to estimate both short- and long-run specifications of the effect and employing the multivariate generalized autoregressive conditional heteroskedasticity (GARCH) with Baba, Engle, Kraft and Kroner (BEKK) specification developed by Engle and Kroner (1995) as a further check for the robustness of the findings. Monthly data between 1993 and 2017 on the real effective exchange rates of Ghana's trade with 143 trading partners were taken as the series for modeling the volatility using GARCH andexponential generalized autoregressive conditional heteroskedastic (EGARCH) models.

The empirical results show that the volatility of exchange rate negatively impact export performances in the Ghanian economy. On the other hand, there was no sufficient evidence to support the observed positive effect of exchange rate volatility on imports, as the effects were only significant at 10% level in the long run. Thus, it is concluded that the finding cannot confirm a relationship between volatility and import. Thus, the results present differences in the direction of the effect of exchange rate volatility on imports and exports in the context of the Ghanaian economy.

Considering the fragility of the Ghanaian economy and Ghana's macro-economic indicators, the study points at the crucial need for more integration of well-informed trade policies within the country's macro-economic policy framework to contain the impacts of exchange rate volatility on trade performances.

The study contributes to literature by scope and method. More specifically, empirical studies have failed or provided little evidence uniquely on the Ghanaian economy's reaction to exchange rate volatility on the country's imports and exports. Additionally, most of the existing empirical studies measure exchange rate volatility using the standard deviation of the moving averages of the logarithmic transformation of exchange rates. This method is criticized because the method is unsuccessful in capturing the effects of potential booms and bursts of the exchange rate. The authors' study circumvents for these highlighted pitfalls.

The study contributes to literature by scope and method. More specifically, empirical studies have failed or provided little evidence uniquely on the Ghanaian economy's reaction to exchange rate volatility on the country's imports and exports. Thus, the study chat a course for socio-economic dynamic of Ghanaian economy.

The study contributes to literature by its scope and method, as extant empirical studies have provided little evidence specifically on the Ghanaian economy's reaction to exchange rate volatility. Additionally, most of the existing empirical studies measure exchange rate volatility using the standard deviation of the moving averages of the logarithmic transformation of exchange rates. This method is criticized because of the method's inadequacies in capturing the effects of potential booms and bursts of the exchange rate. The study thereby essentially circumvents for these highlighted pitfalls.

ChatGPT is an advanced artificial intelligence (AI) form that can generate human-like text based on large amounts of data. This paper aims to empirically examine the ChatGPT adoption level among Indian individuals by considering the key factors in determining individuals’ attitudes and intentions toward newly emerged AI tools.

This paper used “partial least square structural equation modeling” (PLS-SEM) to investigate the relation among several latent factors by applying a representative sample of 351 individuals.

This study found that trialability, performance expectancy and personal innovativeness significantly influence individuals' attitudes, while compatibility and effort expectancy do not significantly impact attitudes. Additionally, trialability, performance expectancy, effort expectancy, personal innovativeness and attitude significantly influence behavioral intentions. However, compatibility has an insignificant impact on behavioral intention. Moreover, the research highlights that attitude and behavioral intention directly correlate with actual use. Specifically, the absence of compatibility makes people hesitate to use technology that does not meet their specific needs.

These unique findings provide valuable insights for technology service providers and government entities. They can use this information to shape their policies, deliver timely and relevant updates and enhance their strategies to boost the adoption of ChatGPT.

This paper is one of the pioneering attempts to exhibit the research stream to understand the individual acceptance of ChatGPT in an emerging country. Moreover, it gained significant attention from individuals for delivering a unique experience and promising solutions.

Although doctoral education has experienced substantial development in recent decades, it remains an elite, hence fragile, dimension of university policy and practice. This study aims to articulate perspectives to guide the next phase of strengthening and growth.

Working from theoretical and empirical research conducted in China, including scholarship on workforce ecosystems, education design and the student experience, this study contributes a framework with qualitative insights which clarify the goals and experiences of doctoral education in ways that will render it more relevant, effective and contributing.

The paper identifies areas for doctoral reform to ensure career readiness, including three distinctive outcomes and four indispensable experiences.

This study advances a doctoral design framework which can render transparent the substance of programs and prompt program coordinators to develop and ensure career relevance.

This study investigates the impact of geopolitical risk (GPR) on foreign remittances (FRs) for the top remittance-receiving countries.

The sample includes Mexico, France, Egypt, China, the Philippines, India, Vietnam, Ukraine, Germany and Belgium for the annual period of 1998–2022 using the nonlinear panel autoregressive distributed lag (ARDL) model to determine the asymmetry in the relationship.

The results suggest that, in the short term, positive GPR shocks have a positive and significant impact on FRs received. On the other hand, the long-run results suggest that adverse GPR shocks negatively affect FRs received in the sampled countries. Additionally, the study confirms the asymmetric impact of GPR on top remittances received in countries.

The policymakers, migrants and recipients should consider the asymmetric nature of GPR while making decisions regarding policies and the transfer of remittances. This information can be used to create more effective policies for controlling and reducing the effects of GPR on overseas remittances, such as assisting migrant workers and developing methods to lessen the volatility of these flows.

Acknowledging the potential fluctuations and uncertainties associated with GPR is crucial to make informed choices regarding remittance-related matters.

This paper aims to examine the determinants of the dividend distribution policy in a banking setting.

Using a sample of 48 Islamic banks and 94 conventional banks from 15 Islamic countries over a period spanning from 2012 to 2019, we document the effect of board gender diversity, executive director profile and governance mechanisms on dividend payment decisions. We also analyze the moderating effect of Islamic banks on the relationship between gender diversity and dividend policy.

We find new evidence on the role of women directors in determining dividend distribution policy and confirm the risk aversion hypothesis, hence contributing to the ongoing debate on gender diversity literature. Our results show that the moderating role of Islamic banks is effective only for small banks.

Our findings have practical implications for shareholders, managers and financial analysts as they suggest rationalizing dividend distribution strategies.

Our study contributes to the growing body of knowledge on dividend policy, gender diversity and Islamic banks.

This study aims to examine the relationship between audit committee (AC) effectiveness and firm performance (FP) with the moderation of knowledge intensity while observing the varying effect of each AC characteristic’s influence on its effectiveness.

This study examines 133 companies covering five years from 2016 to 2020 using the partial least squares-structural equation model and weighing AC effectiveness-related characteristics through multiple regression between AC characteristics and the AC effectiveness construct.

The results indicate that the knowledge intensity of the firms negatively influences the relationship between their AC effectiveness and FP, implying that the ACs are not sophisticated enough to monitor the knowledge component of the firm’s assets. Among AC characteristics, six attributes have a significant positive impact, two have a negative impact and three have no significant influence on AC effectiveness while influencing FP.

Apart from guiding the regulators, managers and other stakeholders to choose an appropriate mix of AC characteristics for enhancing FP, the study contributes to the existing literature by providing evidence that ACs are ineffective in monitoring the knowledge assets of the company compared to physical assets.

This study is pioneering in investigating the moderation role of knowledge intensity on the relationship between AC effectiveness and FP. While providing a comprehensive and holistic view of AC effectiveness by considering 11 AC characteristics’ individual as well as aggregate effects on FP, it removes the obsolescence of earlier research in the Indian context owing to the latest regulatory reforms.

The study aims to investigate the firm reaction to external pressures and the subsequent transformation to green innovation (GI) and sustainability, leading to an enhanced circular supply chain performance. The research examined the effect of coercive, normative and mimetic pressures on GI within the Indian tire industry context.

The authors have designed a self-administered questionnaire and received 283 responses. Nonresponse bias analysis was conducted first before proceeding to other assumptions such as constant variance and normality. The confirmatory factor analysis was used to check the data’s integrity and reliability. The PLS-structural equation modeling (SEM) is used to validate the constructs and test the established hypotheses.

External regulatory pressures significantly impact the tire industry’s move towards GI. Normative pressures from societal expectations and industry standards, along with mimetic pressures where companies emulate best practices, both drive the industry toward sustainable initiatives. Further, a clear positive relationship emerges between GI and sustainable supply chain practices (SSCP). This shift emphasizes recycling, reusing and reducing waste and showcases the industry’s commitment to minimizing its environmental impact.

Unlike existing literature that predominantly explores SSCP, the study introduces an integrated framework that intertwines institutional pressures (IP), green innovation (GI), and SSCP to elevate circular supply chain practices (CSCP). The current study highlights the relationships and practical implications within the Indian tire industry.