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...

The business problem of having inefficient processes, imprecise process analyses, and simulations as well as non-transparent artificial neuronal network models can be overcome by an easy-to-use modeling concept. With the aim of developing a flexible and efficient approach to modeling,...