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.

This study conducts a systematic literature review to analyze the integration of artificial intelligence (AI) within business excellence frameworks. An analysis of the findings in the reviewed articles yielded five major themes: AI technologies and intelligent systems; impact of AI on business operations, strategies, and models; AI-driven decision-making in infrastructure and policy contexts; new forms of innovation and competitiveness; and the impact of AI on organizational performance and value creation in infrastructure projects. The findings provide a comprehensive understanding of how AI can be integrated into organizational excellence emerged frameworks to address challenges in infrastructure governance, and sustainable development. Key questions addressed include: how AI affects consumer behavior and marketing strategies. What AI’s capabilities for businesses, especially marketing and digital strategies? How can organizations address the drivers and barriers to help make better use of AI in these business operations? Should organizations even do anything with these insights? These questions and more will be tackled throughout this discussion. This paper attempts to derive a comprehensive conceptual framework from several fields of human resources, operational excellence, and digital transformation, that can help guide organizations and policymakers in embedding AI into infrastructure and development initiatives. This framework will help practitioners navigate the complexities of AI integration, ensuring profitability and sustainable growth in a highly competitive landscape. By bridging the gap between AI technologies and development-related policy initiatives, this research contributes to the advancement of infrastructure governance, public management, and sustainable development.

It has long been acknowledged that interpersonal trust is the foundation of business partnerships. Interpersonal trust is frequently required in circumstances involving interdependence among parties, wherein each party is cognizant of the other’s vulnerabilities, the potential consequences of their actions, and the favorable anticipations of others. This study aims to examine and understand the impact of the development of interpersonal trust on the long-term sustainability of the Gayo Aceh coffee business, which has been operational since 1908. The unit of analysis in this study is the stakeholders of the Gayo Aceh coffee industry, including farmers, collectors, sellers, and distributors. This study utilizes a qualitative technique, specifically employing a case study design, for both data collection and analysis. To collect data, we utilized observations and semi-structured interviews. The findings of the research indicate that the establishment of interpersonal trust among producers, collectors, sellers, and distributors has had a discernible influence on the current sustainability of the coffee industry in Aceh Gayo.

This research aims to explore the impact of government policies to promote mass tourism in Bali. Qualitative method with the support of a phenomenological approach and in-depth interviews and FGD. The Butler tourism area life cycle model theory is used to evaluate the impact of tourism on land use and cultural conflict with six stages of destination development, namely exploration, involvement, development, consolidation, stagnation, and decline or rejuvenation. The findings reveal that Bali has experienced all stages of Butler’s model. From 1960–1970, Bali was in the exploration phase, offering tourists authentic experiences. At the beginning of 1970–2000, Bali had entered five phases marked by rapid tourism growth. Now, Bali reached a consolidation phase with a focus on managing tourism quality. Now, Bali is entering a phase of stagnation, facing challenges such as overcrowding and environmental degradation. Bali is at the crossroads between phases of decline and rejuvenation, with efforts to overcome environmental problems and diversify tourism products. This study concludes that mass tourism has significant positive and negative impacts on tourist destinations. Although it can improve the local economy and preserve culture, it can also cause environmental damage and cultural conflict. The Bali government’s policy strategy for the future is to overcome cultural conflicts including tourist education, sustainable tourism development, empowerment of local communities, enforcement of regulations, and intercultural dialogue. The implementation of this policy strategy can be carried out effectively to manage cultural conflicts towards a sustainable Bali tourism future.

The process of digitalization within the realm of tourism is not merely a trend but rather a significant catalyst that is rapidly propelling the comprehensive transformation of the tourism industry into a new era of technological advancement. This intricate process fundamentally involves the seamless integration and application of cutting-edge digital technologies across various tourism-related activities and services. The advent of innovative solutions that harness the immense capabilities of artificial intelligence, the analytical power of big data, the security features of blockchain, and the interconnectedness provided by the Internet of Things primarily serves to enhance the overall quality of services offered, optimize pricing strategies to align with market demands, and improve risk management protocols within the industry. This paper methods uses 100 Scopus indexed papers about Smart Tourism Development in Kazakhstan. It is imperative to underscore the fact that the ongoing digitalization process, while offering numerous advantages, simultaneously imposes rigorous new requirements concerning the qualifications and competencies of staff members, as well as the paramount importance of data security measures and the protection of consumer rights in the digital environment. The effective management of this digital transformation necessitates a holistic and integrated approach that encompasses not only the development of robust infrastructure but also the enhancement of digital literacy among employees and the establishment of a dynamic and innovative ecosystem that encourages creativity and adaptability.