In this paper, we use a logit model to predict the probability of default for Korean shipping companies. We explore numerous financial ratios to find predictors of a shipping firm's failure and construct four default prediction models. The results suggest that a model with industry specific...

In this paper, we use a logit model to predict the probability of default for Korean shipping companies. We explore numerous financial ratios to find predictors of a shipping firm’s failure and construct four default prediction models. The results suggest that a model with industry specific...

The aim of this study is to construct monthly coincident and leading composite indicators for the shipping industry in Korea. The coincident and the leading indicators are computed using the generalized dynamic factor model. We use the production index of the water transport industry as the...

This study examines the effect of macroeconomic shocks on the shipping market using time-series data by comparing the periods of the COVID-19 and traditional crises. A structural vector autoregressive model and forecast scenario were applied for the analysis. The results can be summarized as...

Armed with improved targeting technology, firms are increasingly interested in optimizing their advertising dollars through consumer segment-specific targeting, particularly while introducing new products. That task becomes especially important in markets with distinct consumer segments – the...

For many socioeconomically disadvantaged customers living in food deserts, the high costs and minimum order size requirements make attended grocery deliveries financially non-viable, although it has potential to provide healthy foods to the food insecure population. This paper proposes...

Free-floating electric vehicle sharing (FFEVS) systems require nightly relocation and recharging operations to better meet the next day's spatial demand with sufficient battery-levels. Such operations involve not only a crew of drivers to move the shared electric vehicles (EVs), but also a fleet...

This dissertation aims at modelling uncertainty and deriving managerial implications in different areas. Due to uncertainty and limited information, a firm may encounter difficulties in decision making and sometimes make wrong decision. For this reason, I provide models to incorporate...

Historically, congestion pricing is considered as an efficient pricing mechanism to decrease total social cost by eliminating rush hour congestion. However, in order to eliminate rush hour congestion, deterministic settings are usually necessary. In recent research, even if some uncertain...