Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. https://bitcoin.org/bitcoin.pdf outlined an alternative to the current monetary system in which banks are replaced by a peer-to-peer system to issue and transfer digital money: the Bitcoin. While Bitcoin has attracted a substantial investment volume, the system has not achieved the status of a viable alternative monetary system. However, the distributed ledger technology (DLT) underlying the payment system is being applied successfully by financial institutions and is likely to have important implications for the future of money and banking. In this paper we therefore focus on the most advanced distributed ledger application in the financial industry: R3 Corda. This paper is structured as follows. In the first section, we relate the debate about systems of money creation to the rise of Bitcoin. Next, the development of R3 Corda is discussed and the lessons learned for monetary reform. We conclude with an assessment of the scope and likelihood of monetary reform as a consequence of DLT applications by central banks.
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Lawmakers as representatives of the people should resist the anti-competitive proposals of the banking sector and embrace a vision of the digital euro that serves the collective interests of Europeans, Dr Martijn van der Linden and Vicky Van Eyck write. The influence of the banking lobby on policymakers risks undermining the digital euro's potential. Lawmakers as representatives of the people should resist the anticompetitive proposals of the banking sector and embrace a vision of the digital euro that serves the collective interests of Europeans. This means that the digital euro must be attractive, accessible and beneficial to all. The deliberation process must be free from the disproportionate influence of an industry that has much to lose from a level playing field for payment services and financial intermediation.
MULTIFILE
Innovative work behavior has been one of the essential attribute of high performing firms, and the roles of entrepreneurial orientation and self-leadership have been important for promoting innovative work behavior. This study advances research on innovative work behavior by examining the mediating role of self-leadership in the relationship between perceived entrepreneurial orientation and innovative work behavior. Structural equation modelling is employed to analyze data from a survey of 404 employees in banking sector. The results of reliability measures and confirmatory factor analysis strongly support the scale of the study. The results from an empirical survey study in the deposit banks reveal that participants’ perceptions about high levels of entrepreneurial orientation have a positive impact on innovative work behavior. The results also provide support for the full mediating role of self-leadership in the relationship between participants’ perceptions of entrepreneurial orientation and innovative work behavior. Additionally, this study provides some implications for practitioners in the banking sector to facilitate innovative work behavior through entrepreneurial orientation and self- leadership.
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The hospitality industry in the Netherlands has been slow to adopt artificial intelligence (AI), despite its potential to improve service efficiency and address workforce challenges. While some industries have embraced AI agents—automated systems interacting with users—for customer service, hospitality adoption remains limited. Many hotels struggle to integrate AI in ways that enhance guest experiences while ensuring workforce sustainability, a paradox. Workforce sustainability means keeping employees skilled and adaptable. This research addresses this paradox observed in professional practice, focusing on three key gaps in AI integration: • Hotel employees lack the skills and knowledge to adapt to AI-enhanced workplaces. • Hotel managers lack clear AI strategies that maintain service quality and employee well-being, ensuring AI complements rather than replaces human service. • AI developers often lack a clear understanding of the hospitality industry’s specific needs, hindering the development of effective solutions. This leads to the central question: How can AI agents be co-developed by hotel professionals and technical experts to enhance service efficiency while supporting a sustainable hospitality workforce? A one-year KIEM project provides the ideal framework for an agile, practice-based investigation in real hospitality environments. The project will unfold in four phases: (1) co-developing conversational AI chatbots with hotel businesses and technology providers, (2) testing the chatbot integration in hotels, (3) evaluating the impact on service efficiency and workforce sustainability, and (4) initiating a community of AI agent practice in service industry. Conducted in collaboration with industry partners, the research ensures findings are directly applicable to real-world hospitality challenges. By bridging academic research and industry needs, this project will generate insights into AI-driven service innovations that benefit hotel operations, employees, and AI developers. Beyond hospitality, its findings will offer scalable strategies for responsible AI adoption in sectors like healthcare, banking, and retail, fostering a more sustainable future of work.
