We frame the wide spectrum of possible system architectures for an online retail central bank digital currency (CBDC) and identify a promising architecture well-suited for basic payments. We select OpenCBDC 2PC, a representative system design that fits this architecture and analyze it using a...

This study conducts a detailed examination of Borsa Istanbul Review (BIR) from 2013 to 2023, employing bibliometric analysis, regression analysis, and structural topic modeling (STM) to explore its scholarly impact, authorship patterns, and thematic evolution. Our bibliometric analysis reveals a...

This pitching research letter (PRL) employs a reverse-engineering approach to the two-page pitching research template developed by Faff (2015, 2024) and details a personal reflection on the process. The pitch structure underscores a systematic, concise framework for identifying key components of...

EVs will have an impact on global energy issues. The batteries and charging methods used by EVs have an impact on both electric cars and the power grid. Furthermore, it is challenging to devise a workable plan to electrify transportation networks to make them more environmentally friendly and...

In this work, we systematically analyse the differences and similarities between CeFi (Centralised Finance) and DeFi (Decentralised Finance). Financial technology is rapidly expanding, and large technology firms are making advances in credit markets. The Internet of Value (IOV), with its...

Electrified heating and mobility, the uptake of air conditioning and distributed energy resources are reshaping residential electricity demand and will require substantial investment. Yet the dependencies that drive present and future residential demand across sociodemographic characteristics,...

Artificial Intelligence (AI) is playing an increasingly vital role in the field of financial statement analysis. AI methodologies, such as Deep Learning, Machine Learning, and Natural Language Processing, are being employed to enhance the analysis of financial data. This study explores the...

This systematic literature review critically examines sustainability challenges and opportunities within fibre-based process industries (e.g., paper and nonwoven), pivotal energy-intensive sectors in the EU. Using an adapted PRISMA guideline, it analyses the evolution of sustainability concepts,...

Recent advancements in brain imaging technology have led to a rise in the use of magnetic resonance imaging (MRI) for clinical diagnosis. Deep learning (DL) techniques have emerged as a valuable tool for automatically detecting abnormalities in brain images without manual intervention....

This chapter navigates common governance challenges facing Employee-Owned Businesses (EOBs) across the world. A systematic literature review was adopted to unearth the governance challenges and to guide formulation of strategies to deal with the identified challenges. Resultantly, 34 research...