The study aimed to identify factors that can be used in models that predict going concern of enterprises. The study employed the best-worst method of multi-criteria decision-making technique to evaluate and rank the factors. Twenty-one potential determinants were identified from the literature...

In this paper we intend to substantiate the usefulness of Deep Learning, especially feedforward neuronal networks, in the prediction of business failure. This methodology provides very good results in terms of predictive performance when large sample sizes are available. Therefore, we have...

The study aimed to identify factors that can be used in models that predict going concern of enterprises. The study employed the best-worst method of multi-criteria decision-making technique to evaluate and rank the factors. Twenty-one potential determinants were identified from the literature...