This study aims to propose a new design method to help designers design new bags meeting customers’ perception. The method is structured by a matrix that maps semantic values of customers’ perception to product visual form and technical features (design attributes) of products to be manufactured. It leans on quality function deployment (QFD) concept to evaluate the relationship matrix between s...

Customer clustering is used to understand customers’ preferences and behaviors by examining the differences and similarities between customers. Kohonen vector quantization clustering technology is used in this research and is compared with Kmeans clustering. The data set consists of customer records obtained from a mobile telecommunications service provider. The customers are clustered using va...

In complex and frequently changing product domains, customers need qualified consultation services that allow them to make well-informed purchasing decisions without requiring excessive technical knowledge about the product domain. In this paper we present an intuitive customer metamodel with an associated inference engine which can be integrated into conversational recommender systems to provi...

The article proposes a conceptual model to examine the relationships between service attributes, brand associations, customer satisfaction, commitment, price of membership, and intention to repurchase in a fitness club. The results show that the services offered by the club, its security, and the promoted image of the club impact positively on satisfaction. The customer relations at the club, c...

Data mining is a powerful new technique to help companies mining the patterns and trends in their customers data, then to drive improved customer relationships, and it is one of well-known tools given to customer relationship management (CRM). However, there are some drawbacks for data mining tool, such as neural networks has long training times and genetic algorithm is brute computing method. ...

This study presents an approach for effective service operations management by integrating market-based objectives and operating decisions of managers. This approach is based on constructs from operations management, econometrics, and marketing and can be used by managers to make better decisions about product/service design and positioning services according to market needs. Empirical data for...

The customer relationship management (CRM) is a business methodology used to build long term profitable customers by analyzing customer needs and behaviors. The customer behavior is analyzed by choosing important attributes in the customer database. The customers are then segmented into groups according to their attribute values. The rules are generated using rule induction algorithms to descri...

Managing customer satisfaction has become a crucial issue in fast-food industry. This study aims at identifying determinant factor related to customer satisfaction in fast-food restaurant. Customer data are analyzed by using data mining method with two classification techniques such as decision tree and neural network. Classification models are developed using decision tree and neural network t...