This study investigates the complex, nonlinear dynamics of the achievement of Sustainable Development Goals (SDGs) within national innovation ecosystems (NIEs), addressing a critical gap in understanding SDG saturation. Studying this topic is crucial because, despite the growing importance of...

Industry 4.0 technologies have provided industries and firms with enormous capacities for data exchange, especially shopfloor sectors. This digitized data exchange process is accumulated exponentially and is necessitating mechanisms for adding value to the business firms. This paper has focused...

This study examines how the effectiveness of capital control regulations and political performance shape the likelihood of currency crises in high- and middle-income economies. Using panel data for 48 countries from 1996 to 2023 and estimating probit, logit, and IV-probit models, the analysis...

This article presents a comprehensive study on developing a predictive product pricing model using LightGBM, a machine learning method optimized for regression challenges in situations with limited historical data. It begins by detailing the core principles of LightGBM, including decision trees,...

This article presents a comprehensive study on developing a predictive product pricing model using LightGBM, a machine learning method optimized for regression challenges in situations with limited historical data. It begins by detailing the core principles of LightGBM, including decision trees,...