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...

The Internet has become a favoured medium for the presentation and exchange of environmental and chemical data. To search for relevant information, the user either has to know the direct address of the Internet site, or has to use search engines and meta information repositories. In the latter...

The discipline of marketing is going through significant changes. Such changes are necessitated by the globalization of markets aided by the facilitating communications and information processing technologies. In recent years, the discipline has also witnessed significant paradigm shifts such as...

Looks at how neural network technology can be used to learn marketing data patterns and help build up marketing decision support systems. Marketing abounds with potential applications for this method. Provides analysis and some illustrations of how the technology can be used in place of more...

Artificial Neural Networks (ANNs) have many potential applications virtually in wide areas ranging from engineering to management. Recently, a great deal of interest (and effort) has been directed towards using ANNs in business practice. In particular, they have been used in areas which were...

Market response modelling is well covered in the marketing literature. However, much less research has been undertaken in the use of neural networks for market response modelling. Describes experiments to fit neural networks to the consumer goods market. Compares the neural etwork approach with...

Shows how neural networks can bring together psychometric and econometric approaches to the measurement of attitudes and perceptions. Uses a neural network to analyse data collected from a sample of ATM users on their perceptions of ATM service. Uses the weights of connections from input nodes...

Understanding large amounts of information and efficiently using that information in improved decision making has become increasingly challenging as businesses collect terabytes of data. Businesses have turned to emerging technology including neural networks, symbolic learning, and genetic...

The adoption of a knowledge‐based system requires that users, experts and managers have good understanding of the concepts of information resource management (IRM) and knowledge resource management (KRM). Proposes a KRM concept which aims to organize knowledge, ensure a global control of...

This paper uses a neural network to analyse the interactive effects of strategic planning on hotel performance. Based on the data collected from 100 hotel units the constructs of planning sophistication and planning thoroughness have direct positive effect on overall performance. Conversely, the...