• The Journal of Asian Finance, Economics and Business
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• v.3 no.4
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• pp.43-56
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• 2016

The research aims to help merchant acquiring institutions gain a better insight on what merchant establishments in the Singapore market perceive of the costs they incur due to credit card acceptance. The research attempts to study the Singapore market and establish if increased credit card usage does increase costs for the merchant establishments that accept credit cards, this will help to acquire institutions in Singapore have a better understanding of merchant perceptions and what drives or deters credit card acceptance in the Singapore market. The survey was based on an interview of merchant establishments and the views of the merchants and was not based on their financial data. As a first step, the variables used in the survey were tested for interdependence using Chi-square tests; subsequently data reduction using factor analysis was performed and finally linear regression to establish a relation between dependent and independent variables. Merchant establishment believe accepting credit cards and increasing volume is costlier compared to another form of payment, but have mixed awareness about interchange fee. It also indicated that interchange fee and cardholder benefits are independent of the merchant establishments. The study only broadly attempts to gauge merchants view if increased credit card usage has increased costs for them.

• Journal of Distribution Science
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• v.21 no.11
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• pp.67-75
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• 2023

Purpose: The study is focused on understanding consumer behaviour related to credit card use in retail payment or identifying factors that influence risk perception. Research design, data and methodology: Based on data collecting from structured self-administered questionnaires of 247 Vietnamese bank account payers, this study uses the Cronbach alpha analysis, the factor analyses, the structural equation modeling to assess the research's measurement model and structural model with the presence of knowledge, propensity to trust, self-efficacy, risk perception, intended use and their complex, intertwined relationships. Results: The results reveal that customer's perceived risk, which is affected by their self-efficacy and propensity to trust, negatively impact on their intended use of credit cards in retail payment. However, there is no evidence of the significant influence of consumer knowledge on how they assess potential losses of credit card. Conclusions: These findings provide a better understanding of consumer risk perception, its antecedents and consequence in a direction of credit card adoption. Bank managers or marketers should focus on increasing the information about credit cards and issues related to credit card use in retail payment, promoting mechanisms to encourage customers to participate in the credit card experience.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.5
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• pp.1407-1413
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• 2008

Individual consumer characteristics change as the individual lifestyle changes. Each individual's unique lifestyle influences substantially the individual consumer behavior. Individual consumer's behavioral pattern varies significantly depending on the individual consumer's use of credit cards. Each individual's lifestyle or individual's perception of credit cards' brands and perceptual difference in qualities of credit cards' brands influence the individual's credit card selection. Credit card companies have been doing several researches in analyzing credit card users' lifestyle characteristics and consumer behavioral characteristics. However, researches on the relation of model structure among variables such as individual lifestyle, credit cards brand, quality perception of credit cards and credit card selection are not quite noticeable. Therefore, in this research we aim at providing a theoretical foundation with credit card companies by analyzing the relation of model structure among these factors.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.1
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• pp.181-188
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• 2017

As smart phone users increase the number of users who insert credit cards into wallet type smart phone cases is increasing. In this paper, we developed an Android application for preventing credit card loss in a wallet type smart phone case using the NFC (Near Field Communication) technology of smart phone. The developed android application uses the NFC reading and writing functions of the smart phone. When the credit card is inserted into the wallet type smart phone case, the android application detects the NFC tag in the credit card and registers credit card information. When the credit card is removed from the smart phone case, the Android application automatically detects the credit card loss and notifies to the user. The user can check and finds the location information of the lost credit card on the map of the Android application. We can easily develop the Android application for preventing credit card loss when a function that automatically detects an leaving NFC tag is added to Android.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.5
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• pp.762-767
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• 2002

In this paper, We suggest Credit Card and On-line Financial Business Method Using on Wireless Terminal. First, wireless mobile terminal of credit card member is received suity code from dealing verification system of credit card company. Second, a credit card member give security code to member store. Third, the security code is compared with security code of the member in dealing verification system of credit card company.

• Journal of Information Technology Applications and Management
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• v.15 no.4
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• pp.21-36
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• 2008

As the great disturbance from abusing credit cards in Korea becomes stabilized, credit card companies need to interpret credit-card delinquents classification models from the viewpoint of profit. However, hit ratio which has been used as a measure of goodness of classification models just tells us how much correctly they classified rather than how much profits can be obtained as a result of using classification models. In this research, we tried to develop a new utility-based measure from the viewpoint of profit and then used this new measure to analyze two classification models(Neural Networks and Decision Tree models). We found that the hit ratio of neural model is higher than that of decision tree model, but the utility value of decision tree model is higher than that of neural model. This experiment shows the importance of utility based measure for credit-card delinquents classification models. We expect this new measure will contribute to increasing profits of credit card companies.

• Journal of the Semiconductor & Display Technology
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• v.13 no.1
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• pp.57-62
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• 2014

This paper proposes a new optical recognition method of credit card numbers. Firstly, the proposed method segments numbers from the input image of a credit card. It uses the significant differences of standard deviations between the foreground numbers and the background. Secondly, the method extracts gradient features from the segmented numbers. The gradient features are defined as four directions of grayscale pixels for 16 regions of an input number. Finally, it utilizes an artificial neural network classifier that uses an error back-propagation algorithm. The proposed method is implemented using C language in an embedded Linux system for a high-speed real-time image processing. Experiments were conducted by using real credit card images. The results show that the proposed algorithm is quite successful for most credit cards. However, the method fails in some credit cards with strong background patterns.

• Journal of the Korea Convergence Society
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• v.8 no.11
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• pp.263-269
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• 2017

Credit card holders are showing a higher level of psychology to show their identity beyond the means of payment. The purpose of this study is to investigate which design factors affect the 30th and 40th generation housewives when issuing credit cards. A total of 200 people in the 30s and 40s housewives who live in Seoul and the metropolitan area were selected from among the customers who use the credit card, and the effect of the design factors of the domestic credit card on the selection of the credit card, Based on previous studies, questionnaires were prepared and surveyed. As a result of the survey, it was found that the color design of the credit card design element was the achromatic system and the main image was the simple design which only used the color without emphasizing the image or the logo, and then the character type was preferred. I prefer not to have a card decoration, and I have found that a metal-like card material is the most preferred. Through this, I would like to suggest directions for the design development for 30 and 40 housewives in credit card companies.

• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.3
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• pp.63-74
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• 2011

Credit cards are more convenient than cash of heavy. Therefore, credit cards are used widely in on_line (internet) and off_line in nowadays. To use credit cards on internet is commonly secure because client identification based security card and authentication certificate. However, to use in off_line as like shop, store, department, restaurant is unsecure because of irregular accident. As client identification is not used in off_line use of credit cards, the irregular use of counterfeit, stolen and lost card have been increasing in number recently. Therefore, client identification is urgently necessary for secure card using in off_line. And the method of client identification must be simple, don't take long time, convenient for client, card affiliate and card company. In this paper, we study a reform measure of the structure and transaction process for the safety improvement of a credit cards. And we propose several authentication method of short-and long-term for client identification. In the proposal, the client authentication method by OTP application of smart-phone is efficient nowadays.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2008.10b
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• pp.164-169
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• 2008

The increasing late-payment rate of credit card customers caused by a recent economic downturn are incurring not only reduced profit of department stores but also significant loss. Under this pressure, the objective of credit forecasting is extended from presumption of good or bad customers to contribution to revenue growth. As a method of managing defaults of department store credit card, this study classifies credit delinquents into some clusters, analyzes repaying patterns of customers in each cluster, and develops credit forecasting system to manage delinquents of department store credit card using data of Korean D department store's delinquents. The model presented by this study uses Kohonen network, a kind of artificial neural network of data mining techniques to cluster credit delinquents into groups. Logistic regression model is also used to predict repayment rate of customers of each cluster per period. The accuracy of presented system for the whole clusters is 92.3%.