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The purpose of this paper is to argue the relationship between managerial entrenchment (ME), corporate social responsibility (CSR) and dividend policy (DP). Specifically, this paper aims to empirically examine the impact of DP on the relationship between ME, and CSR.

This study uses a panel data set of firms listed at France stock exchange over 2010/2021. Both the direct and moderating effects were tested by using multiple regression techniques.

The results show that the positive relation between CSR and ME is more pronounced in companies where they opt for a DP. However, DP moderates this positive relationship.

This study suggests the dynamic relationship between CSR and ME.

The objective of this study is to explore the effects of financial literacy level and risk aversion on the saving behavior. The literature review showed dialectical results. Therefore, this study attempts to clarify the debatable of these results by studying the mediating effect of risk aversion on the relationships between demographics determinants and saving behavior moderated by the effect of the financial literacy level.

The data were collected from the University of Normandy; the study sample included 516 respondents representing different segments of French households. The structural equation analysis was utilized to control the impact of financial literacy as a moderate variable and the risk aversion as a mediator variable among the link between sociodemographic factors and saving behavior.

The results demonstrated that there were significant effects of demographics factors on risk aversion. Moreover, financial literacy moderates the relationships between risk aversion and saving behavior.

The major limitation of this research is the small size of the study sample. This paper is restricted to French households. Future financial education training should cover the European context.

This study provides further evidence that financial literacy should be considered an important factor for improving household well-being. The paper encourages governments and financial institutions to create a national financial education program.

This paper is the first attempt to employ a sample of low-income households after financial education training in the French context.

Sustainable development hinges on a crucial shift to renewable energy, which is essential in the fight against global warming and climate change. This study explores the relationships between artificial intelligence (AI), fuel, green stocks, geopolitical risk, and Ethereum energy consumption (ETH) in an era of rapid technological advancement and growing environmental concerns.

This research stands at the forefront of interdisciplinary research and forges a path toward a comprehensive understanding of the intricate dynamics governing green sustainability investments. These objectives have been fulfilled by implementing the innovative quantile time-frequency connectedness approach in conjunction with geopolitical and climate considerations.

Our findings highlight coal market dominance and Ethereum energy consumption as critical short- and long-term market volatility sources. Additionally, geopolitical risks and Ethereum energy consumption significantly contribute to volatility. Long-term factors are the primary drivers of directional volatility spillover, impacting green stocks and energy assets over extended periods. Additionally, SHapley Additive exPlanations (SHAP) findings corroborate the quantile time-frequency connectedness outcomes.

This study highlights the critical importance of transitioning to sustainable energy sources and embracing digital finance in fostering green sustainability investments, illuminating their roles in shaping market dynamics, influencing geopolitics and ensuring the long-term sustainability required to combat climate change effectively.

The study offers practical sustainability implications by informing green investment choices, strengthening risk management strategies, encouraging interdisciplinary cooperation and fostering digital finance innovations to promote sustainable practices.

The implementation of the quantile time-frequency connectedness approach, in line with considering geopolitical and climate factors, marks the originality of this paper. This approach allows for a dynamic analysis of connectedness across different distribution quantiles, providing a deeper understanding of variable interactions under varying market conditions.

The potential growth in cryptocurrencies has raised serious ethical and religious issues leading to a new investment rethinking. This paper aims to identify the influence of religiosity on cryptocurrency acceptance through an extended technology acceptance model (TAM) model.

In the first phase, this research develops a conceptual model that extends the theory of the TAM by integrating the religiosity component. In the second phase, the proposed model is tested using search volume queries in daily frequencies from 01/01/2018 to 31/12/2022 and structural equation modeling (SEM).

The empirical results demonstrate a significant positive effect of religiosity on the intention to use cryptocurrency, the users' perceived usefulness (PU) and ease of use (PEOU). Besides, the authors note that PEOU positively influences the intention. Furthermore, religiosity indirectly affects the intention through the PEOU and positively impacts the intention through the PU. In the same way, PEOU has a considerable indirect effect on the intention through PU.

This study has practical and theoretical contributions by providing insights into the cryptocurrency acceptance factors. In other words, it contributes to the literature by extending TAM models. Practically, it helps managers determine factors affecting the intention to use cryptocurrencies. Therefore, they can adjust their industry according to the suitable characteristics for creating successful projects.

Identifying the effect of religiosity on cryptocurrency users' choices and decisions has a social added value as it provides an understanding of the evolution of psychological variants.

The findings emphasize the importance of integrating big data to analyze users' attitudes. Besides, most studies on cryptocurrency acceptance are investigated based on one kind of religion, such as Christianity or Islam. Nevertheless, this paper integrates the effect of five types of faith on the users' intentions.

The purpose of this study is to determine the effect of board effectiveness (BE) on financial performance and operational risk (OR) disclosure and the interaction effect of a bank’s Sharia Supervisory Board quality (SSB) with religious and ethical principles.

The data were collected from the annual financial reports of 25 Islamic banks (IBs) in the Gulf Cooperation Council countries over 2008-2017. The OR disclosure, the SSB quality and BE were measured using self-developed indices. The Tawhidi string relation methodology was used to establish the circular causal model. The moderating effect of the SSB quality on the performance, OR disclosure and board structure relationship was examined using the hierarchical regression analysis.

The main finding of this study is related to the positive moderating effect of SSB quality on the relationship between performance, OR disclosure and BE. This result seems to indicate that at a high level of SSB quality, even when the performance increase the IBs engage in complying with OR disclosure to inform the stakeholders on the real situation of the bank.

The finding of this research would be of great support to stakeholders and policymakers to make more pressure on IBs to improve the quality of their SSB structure and show more compliance with the governance recommendations. As an extension to this research, further study can examine other Islamic governance mechanisms such as Sharīʿah-compliant banks.

The present study provides a new addition to the prior literature by investigating the relationship between performance, BE, OR disclosure and the interaction effect of SSB quality. From an Islamic ethical, this research can also contribute to the growing discussion on SSB quality and performance.

A separate study of the different behavioral biases does not allow for a full understanding of the complexity and stability of the heterogeneity of beliefs. Therefore, through a more global view of these anomalies, the authors wish to show that they can converge on a single concept, which is the heterogeneity of beliefs.

It is therefore essential to stress that the importance of this study is mainly reflected in the methodological approach used in the construction and analysis of the map and not only in the results achieved. This contribution states that structural analysis, as a means of building the cognitive map, can facilitate the task of investors and other decision-makers, in the identification and analysis of the heterogeneity of beliefs that can therefore guide investors' strategy in decision-making.

The authors have studied the behavior of the investor and its way of interpreting the information and the authors have emphasized the value of studying the concept of heterogeneity of beliefs in its complexity. So that part of the work seems to be relevant and crucial to filling, if you will, that void. In this sense, the authors have shown that behavioral abnormalities are multidimensional concepts: “self-deception”, “cognitive bias”, “emotional bias” and “social bias”.

In particular, this article will aim to achieve the objective of proposing a model for measuring the heterogeneity of beliefs. Thus, the authors want to show that the heterogeneity of beliefs can be measured directly through the different behavioral anomalies.

This study empirically tests a comprehensive set of relevant factors to explain environmental reporting quality. This study aims to understand whether environmental assurance has a direct effect on “environmental reporting quality”. In addition, this study also aims to examine the relationship between corporate governance and the quality of environmental reporting as measured by voluntary and timely reporting.

A number of econometric techniques are used including panel data specifications using a sample of French listed companies in SBF120 for the period 2012–2017.

The results demonstrate that the presence of an environmental audit committee and the size of the environmental external assurance firm has a significant effect on the level of voluntary reporting of environmental information. The results also reveal that the presence of the environmental audit committee, as well as the corporate social responsibility (CSR) committee, the size of the environmental external assurance and corporate governance index, affect the timely environmental reporting.

This study helps all market participants to more comprehensively evaluate the quality of environmental reporting in the French context and highlights whether various factors could affect the quality of the environmental information disclosed using a multi-theoretical framework.

This paper fills the gap in the literature by highlighting an unexplored field of literature about the quality of environmental reporting by linking on the division of the quality of environmental information reporting into sub-dimensions (voluntary reporting and timely reporting) in the French context. To the knowledge, no empirical study has been done on the timely reporting of environmental information in the French context or other contexts. The originality of the work consists of the fact that it is one of the first works that deal with the relationship between environmental external assurance, corporate governance and the quality of environmental reporting.

This paper aim to fill the gaps by looking for the determinants and barriers related to financial inclusion. This study assesses the effect of socio-demographic variables on the use of formal financial inclusion services.

This article examines the barriers to formal financial inclusion, focusing on saving and credit strands. The authors propose the probit model, allowing distinguishing the outcome variable into three categories: Formal inclusion, informal inclusion and financial exclusion. The authors apply this model to the Findex 2017 survey data.

Estimation results propose that the trust to financial institutions, the distance to banks, the lack of documentation and the service costs are the main barriers, but these barriers affect the probability of using formal financial services differently according to the types of financial services (saving or credit).

To advance the formal financial inclusion in Tunisia, the authors call for continuing promoting financial literacy among adults and the young population, which helps them understand the benefits of using formal financial services. Financial literacy throws in constructing the individual trust toward the financial sector in a country that experienced several decades of political and economic instability.

Financial inclusion promotes growth through a broadening of the system and technology that can be a major catalyst for greater financial inclusion. It helps in the overall economic development of the underprivileged population and contributes to poverty reduction. It can also enhance the security of payments, and thus lower the incidence of associated crime.

After the COVID-19 outbreak, the Federal Reserve has undertaken several monetary policies to alleviate the pandemic consequences on the markets. This paper aims to evaluate the effects of the Federal Reserve monetary policy on the cryptocurrency dynamics during the COVID19 pandemic.

We examine the response and feedback effects via an event study methodology. For this purpose, abnormal returns (AR) and cumulative abnormal returns (CARs) around the first FOMC (Federal Open Market Committee) announcement related to the COVID-19 pandemic for the top five cryptocurrencies are explored. We, further investigate the effect of the eight FOMC statement announcements during the COVID19 pandemic on these cryptocurrencies (Bitcoin, Ethereum, Tether, Litecoin, and Ripple). In the above-mentioned crypto-currency markets, we investigate the presence of bubbles by using the PSY test. We then examine the concordance of the dates of these bubbles with the dates of the FOMC announcements.

The empirical results show that the first FOMC event has a negative significant effect after 4 days of the announcement date for all studied cryptocurrencies except Tether. The results also indicate that cumulative abnormal returns are significant during the event windows of (−3,8), (−3,9), and (−3,10). Besides, we find that Bitcoin, Ethereum and, Litecoin lived short bubbles lasting for a few days. However, Ripple and Tether markets present no bubbles and no explosive periods.

This paper presents trained proof that FOMC announcements have a positive effect on volatility's predictive capacity. This work therefore promotes the study of the data quality of volatility in future research as well.

The justified effect of the FOMC announcements on cryptocurrency as a speculative asset has practical implications for investors in building their trading strategies in anticipation of the next FOMC announcement. Therefore, this study implies that the FOMC announcements contain very relevant information for investors in the cryptocurrency market. This research may not only encourage a better understanding of the evolution of the expectations of policymakers, but also facilitate a better understanding of how these expectations are developed.

The COVID-19 pandemic has disturbed the stability of financial markets, inciting the Fed to take some monetary regulations. To the best of our knowledge, this study is the first one that analyses the response of five major cryptocurrencies to FOMC announcements during COVID 19 pandemic and associates these dates with bubble occurrences.

To help inform the debate over whether socio-demographic characteristics are related to the use of digital technologies, the authors investigated the effects of age, gender, education, income and being in the workforce on changes in using financial digital services using panel data collected in the MENA countries during 2017.

This study aims to identify the impact of government policy on the determinants of financial inclusion and digital payment services in the MENA region. The authors use microdata from the 2017 Global Findex database on MENA countries to perform probit estimations. The paper focuses on the role of technology adoption by government authorities in extending financial inclusion and digital payment around different people.

The authors find that poorer people (and, by association, less educated people) and the young (but less so the elderly) are disproportionately excluded from the financial system. Results confirm that better collaboration between the government and the financial sector can help to develop digital financial inclusion through the technology adoption channels. The study confirms the significant impact of the government cashless policy in advancing financial inclusion in the MENA countries, with potentially wider applicability to other developed economies.

Policies to advance mobile money innovations could stimulate financial inclusion by promoting digital transaction services. The role of government authorities is imperative to harness the beneficial and sustainable gains from digitizing remittances and transfers to promote a cashless economy.

Financial inclusion promotes equality through a broadening of the system and government cashless policy can be a major catalyst for greater financial inclusion. It helps in the overall economic development of the underprivileged population and contributes to poverty reduction.