consumer psychology is one of the most popular trends of psychology in recent years which more than anything is related to understanding and analysis of consumer behavior. the most important fields of the science include issues such as expectations, preferences and customer loyalty. and scientists use statistical and quantitative tools to analyze customer behavior. this study in terms of object...

To satisfy customers and achieve market success, an engineered product must be designed to match the intended application. It is asserted here that successful products in mature markets have followed a set of implicit rules which represent necessary (but not sufficient) criteria for success. This research seeks to discover and document an understanding of some of these implicit rules, and conve...

In an era of strong customer relationship management (CRM) emphasis, firms strive to build valuable relationships with their existing customer base. In this study we attempt to better understand three important measures of customer outcome: next buy, partial defection and customers’ profitability evolution. By means of random forests techniques we investigate a broad set of explanatory variable...

The exponential growth in number of telecom providers and unceasing competition in the market has caused telecom operators to divert their focus more towards customer retention rather than customer acquisition. Hence it becomes extremely essential to identify the factors causing a customer to switch and take proactive actions in order to retain them. The paper aims to review existing literature...

With the rapid development of world economy and progress modern science technology, e-commerce has gradually spread to public. For online shopping platform, number stores increased rapidly, especially so in recent years. Mastering rules customers’ behavior will help stand out amidst such a fiercely competitive environment. Taking cosmetics industry as an example, this paper studies purchase pla...

A novel approach for customer segmentation based on neural network is proposed in this paper. Customer purchase behavior is considered in the neural network by clustering technique. Compared with existing research, more information is included in the segmentation process. The experimental results indicate that our method is effective in customer segmentation. Key-Words: Neural network, clusteri...

Information about wheel loader usage can be used in several ways to optimize customer adaption. First, optimizing the configuration and component sizing of a wheel loader to customer needs can lead to a significant improvement in e.g. fuel efficiency and cost. Second, relevant driving cycles to be used in the development of wheel loaders can be extracted from usage data. Third, online usage ide...

Why don’t consumers demonstrate the same behavior when confronted with identical advertisements? What is the reason for these different perceptions of the same stimuli? How can we shape the right perception in the target audiences? How will advertisers be able to create a common concept which will result in a common behavior? Being informed about customer reactions, especially when they are exp...