Mehregan Ghobakhloo; Ali Rajabzadeh Ghatari; Abbas Toloie Eshlaghy; Mahmood Alborzi
Abstract
Customer retention is an important issue for any organization, so finding a way to retain the customer is one of the critical needs of any organization. In this regard, the goal in the field of machine learning is focusing on the problem of accurate customer needs with a method based on extracting opinion ...
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Customer retention is an important issue for any organization, so finding a way to retain the customer is one of the critical needs of any organization. In this regard, the goal in the field of machine learning is focusing on the problem of accurate customer needs with a method based on extracting opinion and sentiment analysis and quantifying customers' emotional orientation.In the other words, the issue is designing a recommender system to provide appropriate services to customers, using their opinions and experiences. The proposed solution, by receiving and reviewing customers' opinions and experiences in the form of extracting variables such as user sentiment score for tweets, relation score, cosine similarity, and confidence factor, and considering groups of relevant features and registration ideas in the process of training and testing, the result is presented in the form of a banking service suitable offer. In order to provide a recommending solution, appropriate classification methods are used along with opinion mining methods and an appropriate validation approach, and the final designed system with a small error, in order to provide personalized services, will step in to help bank managers.Since currently there is no complete provision of banking services tailored to the situation of customers, so in this regard, this mentioned system will be very helpful.
Morteza Mohammadi; Tahmures Sohrabi
Abstract
The purpose of this study was to investigate the impact of electronic customer relationship management on customer satisfaction. This is a descriptive correlational study clearly based on the structural equation modeling (SEM). The participants of this study were 384 all customers who refer to the active ...
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The purpose of this study was to investigate the impact of electronic customer relationship management on customer satisfaction. This is a descriptive correlational study clearly based on the structural equation modeling (SEM). The participants of this study were 384 all customers who refer to the active electronic stores and benefit from their services and/or products. Participants completed the customer satisfaction Inventory (by Lee, and Turban, 2001) and the electronic customer relationship management Inventory (by Mogheimi, and Ramezani, 2011) Reliability and validity of these questionnaires was obtained. Results of the Pearson correlation showed that electronic customer relationship management and all customer satisfaction components are mutually correlated with each other (P<0/01(. Implementing structural equation modeling (SEM) for relationship between customer satisfaction and electronic customer relationship management tests, we found that the proposed model has a good fit and customer satisfaction is well explained by electronic customer relationship management. Also all of the model path coefficients were significant.
Ziba Faraji Moghadam; Amir Afsar
Volume 1, Issue 4 , September 2014, , Pages 131-156
Abstract
Today, many provider organizations to survive and surpass other competitors inthe world to compete. The new techniques and tools to identify and prioritize themost important metrics are used to obtain the customer's consent. Banks, as aservice provider organizations are no exception. Quality key role ...
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Today, many provider organizations to survive and surpass other competitors inthe world to compete. The new techniques and tools to identify and prioritize themost important metrics are used to obtain the customer's consent. Banks, as aservice provider organizations are no exception. Quality key role in the bankingindustry and customer satisfaction Arzayt and as one of the objectives in thisarea are considered to be basic. Knowledge of customer needs and requirementsto provide satisfactory services to our clients to facilitate them - slow. Can besaid to have a better understanding, identification and prioritization of keycustomer requirements for bank executives in the banking industry will beconsidered. Expansion of electronic communication and access to the worldwideweb a lot of people in the world, suitable for the establishment of trade andeconomic interaction is provided. This increases competition in the bankingindustry and has been providing electronic banking. Purpose of this studymethods of integrating Quality Function Deployment (QFD), Kano model andfuzzy analytic hierarchy process (FAHP) is. In this study a new method to detectand analyze customer needs, priorities bank offers. The results show that thepriority banking customers before and after the integration of the Kano model inthe planning matrix of quality home is different
