for winning in global competition, companies need to recognition and monitoring of customer's behavior to forecast their behavior and desires earlier than competitors. this research tries to recognize the attributes which lead to customer churn. for this, behavior of 3150 subscribers of an iranian mobile operator, has observed during one year and trends of them has analyzed by a customized...

Great product ideas come from a marriage of the detailed understanding of a customer need with the in-depth understanding of technology. The best product designs happen when the product’s designers are involved in collecting and interpreting customer data and appreciate what real people need. Contextual Design gives designers the tools to do just that. Contextual Design starts with the recognit...

Association rule mining (ARM) is the process of generating rules based on the correlation between the set of items that the customers purchase.Of late, data mining researchers have improved upon the quality of association rule mining for business development by incorporating factors like value (utility), quantity of items sold (weight) and profit. The rules mined without considering utility val...

Satisfying customers is usually pursued by identifying their needs and translating their demands into design targets and thereby assessing the implementation of improvements on a continuous basis in order to attain the set targets. Quality function deployment is a planning tool used to fulfill customer expectations and in-depth evaluation of a product. The presented research aimed to get QFD mo...

The recent Institute of Medicine report, Crossing the Quality Chasm: A New Health System for the 21st Century [1], highlighted the need to improve the reliability of basic processes in health care. One way in which health care has addressed this need is through the implementation of continuous quality improvement techniques. Six Sigma is a process improvement approach widely adopted in industry...

Many companies have no reliable way to determine whether their marketing money has been spent effectively, and their return on investment is often not evaluated in a systematic manner. Thus, a compelling need exists for computational tools that help companies to optimize their marketing strategies. For this purpose, we have developed computational models of customer buying behavior in order to ...

Purpose The purpose of this study is to determine which attribution dimensions concerning dysfunctional othercustomer misbehavior most influence customer dissatisfaction toward a service firm. Design/methodology/approach Our research hypotheses were tested using a 2 (Controllability: controllable versus uncontrollable) 9 2 (Stability: unstable versus stable) 9 2 (Globality: specific versus glob...