This study proposes a new deep learning (DL)-based approach for multi-item demand forecasting in multi-wave distribution networks. In modern merchandising supply systems, traditional forecasting techniques such as moving averages and autoregressive integrated moving average (ARIMA) models are...

The aim of this study is to explore the multidimensional relationships among factors influencing decision-making processes regarding women's willingness to marry and childbirth in South Korea with recognizing the context of family development in East Asian cultures. To this end, we employed...

The aim of this study is to explore the multidimensional relationships among factors influencing decision-making processes regarding women's willingness to marry and childbirth in South Korea with recognizing the context of family development in East Asian cultures. To this end, we employed...