T study attempts to answer a basic customer management dilemma facing firms: when should the firm use behavior-based pricing (BBP) to discriminate between its own and competitors’ customers in a competitive market? If BBP is profitable, when should the firm offer a lower price to its own customers rather than to the competitor’s customers? This analysis considers two features of customer behavi...

This study attempts to answer a basic customer management dilemma facing firms: When should the firm use behavior-based pricing (BBP) to discriminate between its own and competitors’ customers in a competitive market? If BBP is profitable, when should the firm offer a lower price to its own customers rather than to the competitor's customers? This analysis considers two features of customer beh...

Channel management is one CRM systems component much influenced by the behaviour of customers in relation to its implementation and use. The consumers’ behaviours, preferences, perceptions and expectations are crucial for the implementation and use of channel management. Customers’ contact with the organization’s multi-channels can occur at several touch points throughout the customer lifecycle...

Channel management is one CRM systems component much influenced by the behaviour of customers in relation to the implementation and use of channel management CRM component. The consumers’ behaviours, preferences, perceptions and expectations are crucial for the implementation and use of channel management. Customers’ contact with the organization’s multi-channels can occur at several touch poin...

As a part of BC Hydro’s Advanced Metering Initiative (AMI), a time of use rate pilot project involving some 2,000 residential customers was implemented for winter 2006/07 and winter 2007/08. Customers participating in the project had an advanced meter installed at their house, and they also received information on how they could save energy during the peak period and shift load from the peak pe...

Top-k queries are widely applied for retrieving a ranked set of the k most interesting objects based on the individual user preferences. As an example, in online marketplaces, customers (users) typically seek a ranked set of products (objects) that satisfy their needs. Reversing top-k queries leads to a query type that instead returns the set of customers that find a product appealing (it belon...

In this paper, customer restaurant preference is predicted based on social media location check-ins. Historical preferences of the customer and the influence of the customer’s social network are used in combination with the customer’s mobility characteristics as inputs to the model. As the popularity of social media increases, more and more customer comments and feedback about products and serv...

The increasing availability of a large number of services in the interactive multi-media information infrastructure means that customers have a diverse and large collection of choices open to them. One method of assisting customers to navigate through this large collection is to use information filtering to extract only the information relevant to an end-user according to his/her long-term pref...

Electronic commerce (EC) has become an important support for business. EC is regarded as an efficient platform to bridge the gape between the suppliers and consumers, but how to make use of a huge amount of transaction data and identify potential customers on the internet remains a challenge for an EC company. In particular, to recommend proper products to customers, the preferences of the targ...