Clients are the vital artery of every industry and business. Maintaining these customers is one of the most important tasks of any business, especially banks.  The  specific needs  of  customers and  the increasing compe- tition in the banking services market have led banks to create structures that can respond flexibly to these needs. Obviously, one of the important points is that moving to th...

In this paper we propose a theoretical data mining framework for automatic gathering of consumer data for companies interested in developing product prototypes based on customer needs and preferences; we also provide automatic methods for discovering the relationships between customers’ preferences and the product’s physical characteristics. The current framework is presented for the automotive...

The regulatory schemes currently used for reliability improvement have weaknesses in the provision of quality services based on the customers’ perspective. These schemes consider the average of the service as a criterion to incentivize or penalize the distribution system operators (DSOs). On the other hand, most DSOs do not differentiate electricity services at the customer level, due to the st...

the paper seeks to identify starbuck's experience in using social media, understand how social media is linked to customer knowledge management, and assess how social media services could have contributed to starbucks success. starbucks demonstrates versatility to engage customers and support different part of customer knowledge management strategy through various social media platforms, such a...

 Nonlinear MUSA is an extension of MUSA, which employs a derived approach to analyze customer satisfaction and its determinants. It is a preference disaggregation approach, widely welcomed by scholars since 2002, following the principles of ordinal regression analysis. N-MUSA as a goal programing model, evaluates the level of satisfaction among some groups including customers, employees, etcete...

Customers often show different preferences relative to the same products, such as function, shape, color, costs, etc. They will surely affect product market activities further. In this paper, a model of preference elicitation from customers is proposed to reduce the gap between the systematic representation of preferences and customers’ actual preferences. Firstly, the attribute of customer pre...

The increasing customer awareness of environmental sustainability during the last decade has had an influence on many manufacturers to produce green products. However, issues arise regarding actual preferences customers for products, which often differ depending cultural influences. Cultural values can affect decisions designers determine detailed design specifications that relate preferences. ...

Nowadays, recommender systems are widely used in various domains to help customers access to more satisfying products or services. It is expected that exploiting customers’ contextual information can improve the quality of recommendation results. Most earlier researchers assume that they already have customers’ explicit ratings on items and each rating has customer’s abstracted context (e.g. su...