In this paper, a set of neural network (NN) models is developed to compute short-term forecasts of regional employment patterns in Germany. NNs are modern statistical tools based on learning algorithms that are able to process large amounts of data. NNs are enjoying increasing interest in...

This paper analyzes the relative economic power position of home carriers in hub-and-spoke systems. Hub-and-spoke systems may lower costs on densely traveled routes and enable economically viable operations on less densely traveled routes. The reverse side is probably that carriers enjoy...

Entrepreneurship has been a topical issue in the business administration literature, but in the past decade a wave of interest can be observed on the role of entrepreneurship in the economic growth literature. This paper aims to highlight the various contributions to the entrepreneurship...

This paper analyzes the relative economic power position of home carriers in hub-and-spoke systems. Hub-and-spoke systems may lower costs on densely traveled routes and enable economically viable operations on less densely traveled routes. The reverse side is probably that carriers enjoy...

In this paper, a set of neural network (NN) models is developed to compute short-term forecasts of regional employment patterns in Germany. NNs are modern statistical tools based on learning algorithms that are able to process large amounts of data. NNs are enjoying increasing interest in...