scholarly journals Evaluating Human Factors in Customer Relationship Management Case Study: Private Banks of Shiraz City

2016 ◽  
Vol 36 ◽  
pp. 363-373 ◽  
Author(s):  
Mehdi Bagheri Ghalenooie ◽  
Hosein Khorrami Sarvestani
Author(s):  
Özge Kart ◽  
Alp Kut ◽  
Vladimir Radevski

<span lang="EN-US">Data mining is a computational approach aiming to discover hidden and valuable information in large datasets. It has gained importance recently in the wide area of computational among which many in the domain of Business Informatics. This paper focuses on applications of data mining in Customer Relationship Management (CRM). The core of our application is a classifier based on the naive Bayesian classification. The accuracy rate of the model is determined by doing cross validation. The results demonstrated the applicability and effectiveness of the proposed model. Naive Bayesian classifier reported high accuracy. So the classification rules can be used to support decision making in CRM field. The aim of this study is to apply the data mining model to the banking sector as example case study. This work also contains an example data set related with customers to predict if the client will subscribe a term deposit. The results of the implementation are available on a mobile platform. </span>


2020 ◽  
Author(s):  
Andala Rama Putra Barusman ◽  
Evelin Putri Rulian ◽  
Susanto Susanto

Taking a case study of tourism as hospitality industry in Lampung Province in Indonesia, we analyze the antecedent of customer satisfaction and its impact on customer retention. Using Structural Equation Model (SEM), we find that customer relationship management has a significant impact on service quality, customer satisfaction and customer retention.


2020 ◽  
Vol 5 (2) ◽  
pp. 90
Author(s):  
Nihayatu Aslamatis Sholihah ◽  
A'rasy Fahrullah

The aim of this research is to test the effect of customer relationship management (data and information, human resources, process, and technology) towards muzakki loyalty case study Yatim Mandiri Surabaya. this research was conducted with an associative quantitative approach. Number of samples that used in this research is 100 peoples who is active muzakki ini Yatim mandiri Surbaya and use purposive sampling technique. This research use a questionnare that calculates with Likert scale and analyzed with SPSS 23 version. The result of this research indicated that customer relationship management varible has significant effect and positive of muzakki loyalty. Based on the partial test result indicated that customer relationship management has partial effect of muzakki loyalty, and �based on the coefficient of determination test result, indicated that customer relationship management variable has a big impact as 33,7% of muzakki loyalty.


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