scholarly journals A STUDY ON LITERACY AND USAGE BEHAVIOUR OF CREDIT CARDS USERS IN INDIA

2020 ◽  
Vol 8 (1) ◽  
pp. 60-68
Author(s):  
Mohammad Ahmar Uddin
Keyword(s):  
Logistic Regression ◽  
Credit Card ◽  
Credit Cards ◽  
Demographic Factors ◽  
Demographic Information ◽  
High Interest ◽  
Usage Behavior ◽  
Credit Card Usage ◽  
Interest Payments ◽  
Insight Into

Purpose of the study: This study aims to find credit card literacy (henceforward CCL) and credit card usage behavior (henceforward CCUB) in India. Methodology: A survey was conducted on 400 respondents who were using a credit card in India. The questionnaire used for collecting data consisted of three sections; demographic information, CCL, and CCUB. To check the CCL, the customers were asked to rate their awareness of the terms and conditions of the credit card providers, while CCUB was measured using five questions. Main findings: CCL is found to be 34% and the results of logistic regression show that CCL and demographic factors influence the CCUB. Implications of this study: An understanding of the CCUB will be helpful in controlling excessive debt and high-interest payments. Novelty/Originality of this study: This paper gives a unique insight into CCL and CCUB in India.

scholarly journals PENGARUH FAKTOR DEMOGRAFI TERHADAP PERILAKU PENGGUNAAN KARTU KREDIT

2016 ◽  
Vol 4 (2) ◽  
pp. 172
Author(s):  
Mariana Ing Malelak ◽  
Gesti Memarisa ◽  
Njo Anastasia
Keyword(s):  
Data Collection ◽  
Marital Status ◽  
Credit Card ◽  
Descriptive Analysis ◽  
Credit Cards ◽  
Demographic Factors ◽  
Shopping Center ◽  
Card Holder ◽  
Usage Behavior ◽  
Credit Card Usage

Abstract: This study aimed to determine the effect of demographic factors on credit card usage behavior. Demographic factors such as age, gender, income, education, marital status, according to some previous research has significant effect to credit card usage behavior, both it is related with spending activity with credit cards and also the pattern of payments in pay off credit card bills. Sampling was conducted on people  who  live  in  Surabaya, which  has  a  credit  card  either  as  primary and additional card holder. The data collection use questionnaires form, which is distributed to shopping center visitors in Surabaya. Descriptive analysis is used to decribe the demographic factors and credit card usage behavior. SEM-PLS test conducted  to  examine  the  effect  of  demographic factors  such  as  age,  gender, income, education, marital status on credit card usage behavior in Surabaya. The results showed demographic factors (age, income and marital status) significantly affect the credit card usage behavior (in terms of pay off credit card bills) in Surabaya.Keywords: Demographic Factors, Credit card usage behavior.

scholarly journals Understanding Credit Card Usage Behavior of Elderly Korean Consumers for Sustainable Growth: Implications for Korean Credit Card Companies

2021 ◽  
Vol 13 (7) ◽  
pp. 3817
Author(s):  
Kwon Jung ◽  
Moon Young Kang
Keyword(s):  
Credit Card ◽  
Senior Citizens ◽  
Credit Cards ◽  
Demographic Variables ◽  
Sustainable Growth ◽  
Target Groups ◽  
Usage Behavior ◽  
The Republic ◽  
Credit Card Usage ◽  
Retirement Status

The Republic of Korea is the fastest aging country in the world, and its silver market, which is the market segment broadly defined as senior citizens, began to emerge in 2008 as Korean baby boomers started to retire. Given that the assets of households headed by individuals 55 years of age and over are much higher than those of average Korean households, it is essential for Korean financial institutions targeting elderly consumer groups to understand their credit card usage behavior, as it can be very attractive and provide the potential to lead to sustainable growth for institutions, while the market targeting for this group has not been well developed yet. This study examined elderly Korean consumers’ credit card usage behavior in terms of key demographic variables. In this study, we found that the number of cards owned was negatively related to age and positively related to income level. In addition, those who were not retired owned more credit cards than those who were. Although the average monthly expenditure by credit cards was positively related to income, it was not significantly different in terms of age or retirement status. The findings from this research provide significant implications for marketers of credit card companies when searching for key target groups, particularly elderly consumers.

scholarly journals Credit Card Fraud Detection Using Autoencoder Model in Unbalanced Datasets

2019 ◽  
pp. 1-16 ◽  
Author(s):  
M. A. Al-Shabi
Keyword(s):  
Logistic Regression ◽  
Deep Learning ◽  
Efficient Algorithm ◽  
Credit Card ◽  
Learning Algorithm ◽  
Credit Cards ◽  
Reconstruction Error ◽  
Insurance Companies ◽  
Deep Learning Algorithm ◽  
Unbalanced Dataset

Fraudulent credit card transaction is still one of problems that face the companies and banks sectors; it causes them to lose billions of dollars every year. The design of efficient algorithm is one of the most important challenges in this area. This paper aims to propose an efficient approach that automatic detects fraud credit card related to insurance companies using deep learning algorithm called Autoencoders. The effectiveness of the proposed method has been proved in identifying fraud in actual data from transactions made by credit cards in September 2013 by European cardholders. In addition, a solution for data unbalancing is provided in this paper, which affects most current algorithms. The suggested solution relies on training for the autoencoder for the reconstruction normal data. Anomalies are detected by defining a reconstruction error threshold and considering the cases with a superior threshold as anomalies. The algorithm's performance was able to detected fraudulent transactions between 64% at the threshold = 5, 79% at the threshold = 3 and 91% at threshold= 0.7, it is better in performance compare with logistic regression 57% in unbalanced dataset.

scholarly journals Credit Card Usage Among College Students in China

2018 ◽  
Vol 29 (2) ◽  
pp. 304-315 ◽  
Author(s):  
Rui Yao ◽  
Xiangyi Meng
Keyword(s):  
College Students ◽  
Credit Card ◽  
Credit Cards ◽  
Common Method ◽  
Financial Knowledge ◽  
Chinese College Students ◽  
Credit History ◽  
Using Data ◽  
High Level ◽  
Credit Card Usage

Credit cards have become a common method of payment for college students in China. It is important that they form good credit card usage behaviors and build a good credit history early in their financial life. Using data collected from 10 universities in China, results of this study found that being financially dependent on their parents is negatively associated with Chinese college students’ ability to pay their credit card bills. The study also found that students with a high level of financial knowledge were less likely to take cash advances on their credit card. Implications for financial educators and parents as well as policymakers were provided.

scholarly journals Determinants of Customers’ Attitude towards Credit Card Usage: Lessons Learned From Academics in Sri Lanka

2016 ◽  
Vol 3 (2) ◽  
pp. 19
Author(s):  
Mallika Appuhamilage Kumudini Sriyalatha
Keyword(s):  
Regression Analysis ◽  
Sri Lanka ◽  
Credit Card ◽  
Credit Cards ◽  
Lessons Learned ◽  
Perceived Usefulness ◽  
Contributory Factor ◽  
Influential Variable ◽  
The University ◽  
Credit Card Usage

This study examines the factors that influence the attitude of customers toward utilization of credit cards among academics at the University of Sri Jayewardenepura, Sri Lanka. 236 questionnaires were distributed through Google forms among academics in the Faculty of Management Studies and Commerce and 94 respondents have replied questionnaire back. Sample of the study is selected based on purposive sampling method.The factors which are included in this study are availability of information, perceived usefulness, and characteristics of card issuers, general satisfaction and card use intension. Multiple regression analysis is used to determine the most contributory factor that best predict the attitude toward using credit cards. According to the results of the study the most influential variable on attitude towards credit card usage is card used intention followed by perceived usefulness and availability of information. The most influential variable is explained 47.4% of the variation in the attitude towards usage of credit cards and the adjusted R2 also indicates that the model has good fit: 52.5% variation in attitude towards credit card usage is explained by estimated regression equation.Keywords: Attitude, Credit Card, Academics, Sri Lanka

scholarly journals MONETARY POLICY TRANSMISSION AND CREDIT CARDS: EVIDENCE FROM INDONESIA

2019 ◽  
Vol 22 (2) ◽  
pp. 137-162 ◽  
Author(s):  
KP Prabheesh ◽  
R Eki Rahman
Keyword(s):  
Monetary Policy ◽  
Exchange Rates ◽  
Credit Card ◽  
Credit Cards ◽  
Consumption Smoothing ◽  
Monthly Data ◽  
Lending Channel ◽  
Transmission Process ◽  
Policy Transmission ◽  
Credit Card Usage

This paper empirically tests the dynamics of credit cards and monetary policy in thecontext of Indonesia. Using monthly data from 2006 to 2018 and a structural vectorautoregressive model, our findings indicate that credit card usage is mainly drivenby Indonesia’s fast economic growth over the last decade, which indeed reflects therole of credit cards in consumption smoothing. The study also finds that monetarypolicy transmission through the lending channel is weak, with a more prevalent rolefor exchange rates and global oil prices in the transmission process.

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