In order to meet the Sustainable Development Goals (SDGs) of the United Nations and address the growing global concern for ecologically responsible activities, this study examines the role that French financial institutions play in financing a green future and promoting sustainable development (SD). Through semi-structured interviews with twelve participants from banks and Fintech companies, the research investigates their familiarity with green financing commitments to international organizations and associations, their views on the growth potential of green finance, and the provision of green finance products. Additionally, it explores the connection between green finance and its positive influence on SD. Data analysis was performed using NVivo 12. The findings highlight a strong commitment to green finance and sustainable practices among these institutions, emphasizing the significance of integration and utilization of green finance products across various sectors. This research emphasizes the crucial role of financial institutions in France in driving a greener and more sustainable future through green finance.

In this regard the key factor determining the success of the mining industry is the cost of electricity. By understanding the risks associated with crypto mining industry. The method is based on systemic literature review and bibliometric analysis exploring keyword “bitcoin mining”. This review paper studies 50 papers for the period of 2019–2023. The results propose recommendations for crypto miners. Currently, the results confirm that bitcoin mainly depends on the consumption of inexpensive electricity. Consequently, the bitcoin network predominantly uses energy in regions where it is abundant and cannot be stored or exported. Most miners rely on electricity generated from hydroelectric power plants, geysers and geothermal sources, which are not easy to transport or store. Bitcoin will continue to look for such cost-effective and underutilized energy sources, as mining in urban areas or industrial centers will remain financially unviable. If the price of bitcoin stabilizes and a sufficient number of miners enter the market, it is quite possible that in the near future we may witness a fivefold increase in their energy consumption.

Women play a pivotal role in national development, and it is essential for every country to harness their skills to promote economic growth and comprehensive development. The purpose of the current study is to analyze and evaluation the impact of the most recent legislatives and legal reforms in the Saudi Arabia laws in the women’s empowering and economic growth. In addition, the research method is used is analyzing laws, regulations, and reports documents related to women rights in Saudi Arabia to clarify its impact on the women’s empowerments and economic developments. The study’s results indicate a significant and positive impact of recent legal and legislative reforms in Saudi Arabia on women’s empowerment and economic growth. Legal reforms have expanded employment opportunities and fostered entrepreneurship among women, resulting in increased workforce participation and a rise in women-owned businesses. Social empowerment has been enhanced through greater autonomy and improved access to education and vocational training, equipping women with competitive skills. Additionally, reforms have facilitated women’s participation in governance that creating a safer and more equitable environment. These changes have contributed positively to the economic incomes and diversification that reflecting the efforts undertaken by the Kingdom to enhance women’s empowerment and ensure the sustainability of reforms to achieve the ambitious goals of the Kingdome Vision 2030.

A method for studying the resilience of energy and socio-ecological systems is considered; it integrates approaches developed at the International Institute of Applied Systems Analysis and the Melentyev Institute of Energy Systems (MESI) of the Siberian Branch of the Russian Academy of Sciences. The article discusses in detail the methods of using intelligent information technologies, in particular semantic technologies and knowledge engineering (cognitive probabilistic modeling), which the authors propose to use in assessing the risks of natural and man-made threats to the resilience of the energy sector and social and ecological systems. More attention is paid to the study and adaptation of the integral indicator of quality of life, which makes it possible to combine these interdisciplinary studies.

Although much bibliometric research has been conducted to analyze publications on energy policy, a systematic investigation of the sustainability of nuclear energy use after the Fukushima nuclear accident is still lacking. Therefore, this study conducted a comprehensive bibliometric review of the sustainability of nuclear energy policy (NEP). This study discusses NEPs, highlighting their disadvantages; emerging research themes; and networks of the most productive authors, countries, journals, and institutions over the last 20 years (2002–2022). This timeframe was selected because of the Fukushima nuclear accident, which has been one of the largest environmental disasters in recent years. Bibliometric analysis was carried out by reviewing 1146 documents from the Scopus database using the keywords “energy policy” and “nuclear energy.” The OpenRefine software was used to deep-clean keywords with the same meaning, and VOSviewer was used to visualize them. The results show that over the past two decades, future research themes and trends in the study of NEP have focused on nuclear fuel, the Fukushima nuclear accident, risk perception, energy transition, and renewable energy. Bibliometric analysis has positively affected the development of NEP in countries that do not yet have nuclear power plants, such as Indonesia.

The aim of this study is to examine the relationship between Environmental, Social and Governance (ESG) activities and the performance of Thai listed firms. The moderating roles of board size and CEO duality on this relationship are also assessed. The ESG score provided by LSEG (formerly Refinitiv) is chosen to measure ESG activities, both as an overall ESG combined scores and as Environment, Social, and Governance pillar scores. Multiple regression analysis is used to test the impact of ESG on firm performance while the PROCESS macro is used to test the moderating effects. Results reveal that the overall ESG combined score demonstrates no statistically significant effect on firm market-based performance. However, it shows the significant effects on firm performance for both the ESG combined score and the Environmental and Social pillar scores when moderated by board size and CEO duality; Governance pillar score exhibits no significant effect. Additionally, it is found that when the CEO operates only as the managing director and small board size and average board size are evident, higher ESG disclosure scores enhance firm performance. However, when the CEO serves as both managing director and chairman of the board of directors, and where there is a large board size, higher ESG disclosure scores diminish firm performance. This study contributes to the ESG literature and encourages companies to enhance their performance by implementing ESG combined activities with good governance policies.

This study explores the integration of data mining, customer relationship management (CRM), and strategic management to enhance the understanding of customer behavior and drive revenue growth. The main goal is the use of application of data mining techniques in customer analytics, focusing on the Extended RFM (Recency, Frequency, Monetary Value and count day) model within the context of online retailing. The Extended RFM model enhances traditional RFM analysis by incorporating customer demographics and psychographics to segment customers more effectively based on their purchasing patterns. The study further investigates the integration of the BCG (Boston Consulting Group) matrix with the Extended RFM model to provide a strategic view of customer purchase behavior in product portfolio management. By analyzing online retail customer data, this research identifies distinct customer segments and their preferences, which can inform targeted marketing strategies and personalized customer experiences. The integration of the BCG matrix allows for a nuanced understanding of which segments are inclined to purchase from different categories such as “stars” or “cash cows,” enabling businesses to align marketing efforts with customer tendencies. The findings suggest that leveraging the Extended RFM model in conjunction with the BCG matrix can lead to increased customer satisfaction, loyalty, and informed decision-making for product development and resource allocation, thereby driving growth in the competitive online retail sector. The findings are expected to contribute to the field of Infrastructure Finance by providing actionable insights for firms to refine their strategic policies in CRM.

This study aimed to examine the compliance of post-disaster emergency assembly areas with their planning criteria in the Battalgazi district of Malatya province. This district is one of the settlements that was most affected by the two big earthquakes that occurred in Türkiye on 6 February 2023. The emergency assembly areas were evaluated qualitatively based on the criterion of “appropriateness”, with the sub-variables of “usability”, “accessibility”, and “safety”. They were also evaluated quantitatively based on the criterion of “adequacy” with the sub-variable “per capita m²”. There are a total of 103 neighborhoods in the district. However, there are only eight emergency assembly areas in total within its boundaries. According to the results of this study, only 7.5% of the current population of the district resides within 500 m of the emergency assembly areas. The fact that four emergency assembly areas (Hürriyet Park, Şehit Kemal Özalper High School, the Community Garden, Battalgazi Municipality) are situated next to each other and there are emergency assembly areas in only six of the 103 neighborhoods within the municipal boundaries shows that were significant problems in the decisions made regarding their locations. In addition, it was determined that there were disadvantages in terms of accessibility and usability within the criterion of appropriateness, while there were some positive aspects in terms of safety. When examined with regard to the criterion of adequacy, it was determined that the emergency assembly areas at Mişmiş Park, the Community Garden, Battalgazi Municipality, and Şehit Kemal Özalper High School were most adequate, while the emergency assembly areas at Hürriyet Park, Fırat Neighborhood Mukhtar, Nevzat Er Park, and 100 Yıl İmam Hatip Secondary School were least adequate.