scholarly journals Customer Relationship Management in Industrial Bank

2013 ◽  
Vol 5 (3) ◽  
pp. 113-118
Author(s):  
Dileep Kumar
Keyword(s):  
Relationship Marketing ◽  
Customer Relationship Management ◽  
Banking Sector ◽  
Relationship Management ◽  
Customer Relationship ◽  
International Level ◽  
Business Opportunities ◽  
Future Business ◽  
The Way

Banking sector is in the midst of acute competion at national and international level. The way banks entertain and maintain their customers that determins its future business opportunities and development. Inorder to maintain the customers, employees working in banking sector need to be well equipeed with adequate skills in relationship marketing. A case study has been conducted in one of the Malaysian Bank* (name changed) inorder to asertain the significance of Customer Relationship Management. Lessons about the importance of employees’ in the the implementation of Customer Relationship Management (CRM) is well established though this case study. This case study is an eye opener to the management and leaders of banking sector, inorder to have effective empoloyee engagement and development.

Decision Support System For A Customer Relationship Management Case Study

2014 ◽  
Vol 3 (2) ◽  
pp. 88
Author(s):  
Özge Kart ◽  
Alp Kut ◽  
Vladimir Radevski
Keyword(s):  
Data Mining ◽  
Customer Relationship Management ◽  
Banking Sector ◽  
Relationship Management ◽  
Customer Relationship ◽  
Data Set ◽  
Naive Bayesian ◽  
Naïve Bayesian ◽  
Management Case Study

<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>

Customer Relationship Management in Banking Sector

2012 ◽  
Vol 2 (12) ◽  
pp. 80-82
Author(s):  
P.B REDDY P.B REDDY ◽  
◽  
SHALINI. CHENNAMARAJU SHALINI. CHENNAMARAJU ◽  
Dr MORUSU SIVA SANKAR
Keyword(s):  
Customer Relationship Management ◽  
Banking Sector ◽  
Relationship Management ◽  
Customer Relationship

scholarly journals Customer Relationship Management: Related Theories, Challenges and Application in Banking Sector

1970 ◽  
Vol 1 (1) ◽  
pp. 19-28 ◽  
Author(s):  
Babin Pokharel
Keyword(s):  
Customer Relationship Management ◽  
Banking Sector ◽  
Relationship Management ◽  
Customer Relationship

DOI: http://dx.doi.org/10.3126/bj.v1i1.5140 Banking Journal Vol.1(1) 2011: 19-28

scholarly journals THE ANTECEDENT OF CUSTOMER SATISFACTION

2020 ◽  
Author(s):  
Andala Rama Putra Barusman ◽  
Evelin Putri Rulian ◽  
Susanto Susanto
Keyword(s):  
Customer Satisfaction ◽  
Structural Equation Model ◽  
Customer Relationship Management ◽  
Structural Equation ◽  
Hospitality Industry ◽  
Relationship Management ◽  
Customer Retention ◽  
Equation Model ◽  
Customer Relationship

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.

scholarly journals Customer Relationship Management In Banking Sector Case Study Of Conventional Banks

2021 ◽  
Vol 2 (6) ◽  
pp. 2136-2142
Author(s):  
Dennis Rydarto Tambunan ◽  
Heru Kreshna Reza ◽  
Melly Susanti ◽  
Sabri
Keyword(s):  
Customer Relationship Management ◽  
Financial Services ◽  
Customer Value ◽  
Banking Sector ◽  
Relationship Management ◽  
Secondary Data ◽  
Customer Relationship ◽  
Primary Data ◽  
Public Sector Banks ◽  
Conventional Banks

The importance of Customer Relationship Management (CRM) to help businesses acquire new customers, retain existing ones and maximize their lifetime value. This paper discusses the role of Customer Relationship Management in 4 bank units and the need for Customer Relationship Management to increase customer value by using several analytical methods in CRM applications. This paper attempts to identify the technological revolution witnessed by commercial banks and to what extent it has benefited banks to build better customer relationship management (CRM) services between public sector banks and private sector banks. The purpose of this study is 1) to analyze customer opinions about bank CRM in relation to service quality management. 2) To find out the customer's opinion about the bank's CRM on customer relationship management. This study uses primary and secondary data. Primary data will be collected by distributing structured questionnaires to conventional banks (Private and Government). Secondary data will be collected from records published by the financial services authority (OJS), standard textbooks and published research papers, and through web information. The primary data required will be collected from 6 banks in Bengkulu. In addition to collecting information from banks, it also collects information from the general public who have bank accounts.  

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