Deepfake videos are defined as a resulting media from the synthesis of different persons images and videos, mostly faces, replacing a real one. The easy spread of such videos leads to elevated misinformation and represents a threat to society and democracy today. The present study aims to collect and …

Metaverse, a burgeoning technological trend that combines virtual and augmented reality, provides users with a fully digital environment where they can assume a virtual identity through a digital avatar and interact with others as they were in the real world. Its applications span diverse domains such …

This paper focuses on international student mobility and the funding of higher education. We theorize that relying on international students for funding is stronger for institutions in developed English-speaking countries because they more often adopt marketization practices. Compared to Northern and …

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This paper proposes a novel theory, coined as Topological Tail Dependence Theory, that links the mathematical theory behind Persistent Homology (PH) and the financial stock market theory. This study also proposes a novel algorithm to measure topological stock market changes as well as the incorporation …

Objective This paper aims at uncovering the hampering and facilitating factors in intercultural communication that professionals encounter in their business relationships. Methodology The data collection process involved conducting individual interviews and two rounds of focus groups with professionals …

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This study adopts an exploratory and inductive approach, employing grounded theory and multiple-case study methodology to examine how FinTech companies contribute to achieving Sustainable Development Goals (SDGs). Two main categories of findings emerge, with theoretical and practical implications. First, …

Our research aims to investigate the “quality of experience” in education and particularly in the context of e-learning. Firstly, we study separately the concepts of “quality” and “experience”, as well as the underlying meaning of these terms. Secondly, through a scoping review among papers of the last …

This paper introduces and examines a novel realized volatility forecasting model that makes use of Long Short-Term Memory (LSTM) neural networks and the risk metric financial turbulence (FT). The proposed model is compared to five alternative models, of which two incorporate LSTM neural networks and …