This study investigates the critical macro-level conditions that determine the success of crowdfunding platforms, a pivotal segment of the FinTech landscape. We propose a novel configurational theory to decipher how combinations of institutional, eco...
The contribution of innovation to global development and productivity is indeed very important, as it enables the creation of new products and services or the improvement of existing ones. Experience of developed economies suggests that innovations a...
This study conducts a bibliometric review of Bitcoin research in the Business and Economics domains, using VOSviewer to visualize network structures and Bidirectional Encoder Representations from Transformers Topic (BERTopic) to derive semantically c...
The rapid digital transformation of the financial sector has driven supervisory authorities to develop new tools for engaging with fintech innovation. Among these, Innovation Hubs have become essential mechanisms for improving regulatory dialogue, in...
As Morocco aspires to position itself as a regional hub for financial innovation in Africa, its Fintech sector presents a paradox: despite a robust digital infrastructure and growing institutional support, adoption remains limited. Systemic barriers&...
Advances in Artificial Intelligence (AI) and Large Language Models (LLMs) have transformed accounting by automating repetitive tasks and enhancing the efficiency of financial reporting. However, their implementation raises challenges related to bias,...
The environmental footprint of cryptocurrency networks, particularly the electricity-intensive Bitcoin (BTC) blockchain, has raised growing concern among policymakers, investors, and environmental organizations. This study examines how major global e...
Deep learning has transformed numerous areas of data science by achieving outstanding performance in tasks such as image recognition, speech processing, and natural language understanding. Recently, the challenges of financial forecasting—marke...
FinTech-based lending has rapidly expanded in emerging economies, offering convenience and inclusion but also raising concerns about over-indebtedness. In Indonesia, the surge of digital loans has been accompanied by growing signs of risky borrowing...
This study provides a comprehensive evaluation of five deep learning (DL) architectures—TiDE, LSTM, DeepAR, TCN, and Transformer—against the extended Heterogeneous Autoregressive (HAR) model for stock market volatility forecasting. Utiliz...
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