Summarizes the main hypotheses used in previous research on dividend policy and reports a study of patterns in dividend payouts/growth using neural networks as a data mining technique. Discusses the properties of neural networks, recognizes that they are unsuitable for hypothesis testing and...

Economic growth is indispensable for the development of a country and welfare of its citizens. Economic activities can be improved with the enhancement of business sectors within its structure. Furthermore, exportation is a substantial means of reinforcing economic growth. In this research, the...

We examine the performance of artificial neural networks (ANNs) for technical trading rules for forecasting daily exchange rates. The main conclusion of our attempt is that ANNs perform well, and that they are often better than linear models. Furthermore, the precise number of hidden layer units...

Quality function deployment (QFD) is a management tool that provides a visual connective process to help teams focus on the needs of the customers throughout the total development cycle of a product or process. It provides the means for translating customer needs into appropriate technical...

Purpose The purpose of this paper is to measure the efficiency and the productive slacks of a sample of major UK auditing firms between 2005 and 2012. Design/methodology/approach Using the bootstrapping technique as the cornerstone method, DEA estimates were computed, allowing the test for...

Examines the theoretical base of the neural network technique showing, for example, that it is linked in formal and practical terms with expert systems and that it uses a statistical approach. After beginning with a discussion of models of information processing by consumers, proceeds to outline...