Marc Principato

University of Bayreuth · Department of Business Administration VII (Business Informatics)

Bitcoin and other cryptocurrencies built on blockchains have increasingly attracted investors in recent years. Motivated by the opportunities of this technology, blockchain-based applications in various sectors have also been explored. Yet, so far, finance-related applications have arguably remained the most advanced and relevant area of blockchain...

Artificial Intelligence applications rely on large amounts of data. These Artificial Intelligence applications often also process personal data, leading to privacy problems. At the same time, the regulations regarding the use of data and privacy are getting stricter (e.g., the Personal Information Protection Law). Therefore, in this work, we invest...

While Decentralized Finance (DeFi) has the potential to emulate and, indeed, outperform existing financial systems, it remains a complex phenomenon yet to be extensively researched. To make the most of this potential, its practitioners must gain a rigorous understanding of its intricacies, as must information systems (IS) researchers. Against this...

Decentralized finance (DeFi) presents individuals with financial autonomy and opens numerous avenues within the financial services sector. However, there are obstacles that impede its broader adoption. Many of these hurdles cannot be exclusively addressed through technical means and stem from issues related to the absence of a consistent, enduring...

Identities are an essential aspect of information systems (IS) as they allow users of a digital ecosystem to interact, build trust, and form relationships. Decentralized finance (DeFi) is a digital, blockchain-based ecosystem that has seen tremendous growth in the last years, however, struggles with current identity implementations. While academics...

Research on blockchain has found that the technology is no silver bullet compared to traditional data structures due to limitations regarding decentralization, security, and scalability. These limitations are summarized in the blockchain trilemma, which today represents the greatest barrier to blockchain adoption and applicability. To address these...

This systematic literature review explores the potential of machine learning-based approaches to detect and prevent bird collisions with wind turbines. It provides a comprehensive review of the current approaches and identifies critical gaps in the literature, which may serve as the groundwork for future research and development in this area. As a...