Today, businesses need to manage their customer experience to succeed. Therefore, they must first have a clear understanding of the meaning of the customer experience. Customer experience management is a process-focused strategy around the needs of each customer that seeks to find a win-win strategy for both parties. The banking industry that provides financial services to customers requires sp...

We investigate the use of dimensionality reduction to improve performance for a new class of data analysis software called “recommender systems”. Recommender systems apply knowledge discovery techniques to the problem of making product recommendations during a live customer interaction. These systems are achieving widespread success in E-commerce nowadays, especially with the advent of the Inte...

The purpose of this study is the feasibility of customer relationship management implementation from employees and managers' perspective of Melli bank in Esfahan city by using structural equation modeling (SEM). This study is applicable in terms of purpose and descriptive –survey in terms of method. The sample population of this study was employees and managers of Melli bank in Esfahan city in ...

brand has been considered as one of the most important intangible assets of organizations. development of relationship between customer and brand has transformed to one of the most important strategies of the organizations which raise effective results for them. this research intends to examine role and effect of social websites on development of customer relationship and brand in firms listed ...

customer knowledge management (ckm) has been a subject of much attention in recent years. the attractiveness of this subject is the result of its benefits for organizations; but despite the benefits of ckm implementation, many projects aimed at implementing ckm in organizations fail due to companies’ negligence with respect to its implementation factors. meanwile the majority of organizations u...

Nowadays, customers spend much time and effort in finding the best suitable goods since more and more information is placed online. To save their time and effort in searching the goods they want, a customized recommender system is required. In this paper we present an improved neighbor selection algorithm that exploits a graph approach. The graph approach allows us to exploit the transitivity o...