Enhancing Customer Relationship Management by Integrating Customer and Product Values based on Clustering and Indexing Techniques
نویسندگان
چکیده
منابع مشابه
Enhancing Customer Relationship Management by Integrating Customer and Product Values based on Clustering and Indexing Techniques
Customer relationship management is not only pure business, but also indicates strong personal bonding within people. Development of this type of bonding drives the business to new levels of success. Once this personal and emotional linkage is built, it is very easy for any organization to identify the actual needs of the customer and to help and serve them in a better way. It is a belief that ...
متن کامل“investigating the relationship between knowledge management and customer satisfaction considering to the e-services”
چکیده : این مطالعه تاثیر مدیریت دانش بر رضایتمندی مشتریان با توجه به خدمات الکترونیک در سازمان حمل و نقل و پایانه های استان سیستان و بلوچستان را مورد بررسی قرار می دهد. جامعه آماری این تحقیق مدیران، سرپرستان و کارشناسان مشغول به کار در سازمان حمل و نقل و پایانه های استان سیستان و بلوچستان بوده که مجموعا 94 نفر می باشند. برای تعیین حداقل نمونه از جدول مورگان استفاده شده است. که با توجه به جدول ...
New Approach for Customer Clustering by Integrating the LRFM Model and Fuzzy Inference System
This study aimed at providing a systematic method to analyze the characteristics of customers’ purchasing behavior in order to improve the performance of customer relationship management system. For this purpose, the improved model of LRFM (including Length, Recency, Frequency, and Monetary indices) was utilized which is now a more common model than the basic RFM model apt for analyzing the cus...
متن کاملStrategies of Knowledge and Customer Relationship Management
In recent years, companies have integrated their customer relationship management (CRM) and knowledge management (KM) efforts because they realize that KM plays a key role in CRM success. Both knowledge management (KM) and customer relationship management emphasize the allocation of resources to business supportive activities to gain competitive advantages. The aim of this study is to inves...
متن کاملCustomer Behavior Mining Framework (CBMF) using clustering and classification techniques
The present study proposes a Customer Behavior Mining Framework on the basis of data mining techniques in a telecom company. This framework takes into account the customers’ behavior patterns and predicts the way they may act in the future. Firstly, clustering technique is used to implement portfolio analysis and previous customers are divided based on socio-demographic features using k</em...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2015
ISSN: 0975-8887
DOI: 10.5120/21182-4238