The purpose of this was to identify the shopping orientation and store selection criteria of credit card apparel shoppers. The subjects were credit card holding women who had experienced credit card apparel shopping at least one time during last 6 months. The results were as follows : 1. Women of 20's were segmented into multi-cards holding light users, multi-cards holding heavy users, and mono-card holding light users according their credit card numbers and the monthly credit card apparel expenditure. 2. The factors of apparel shopping orientation were pleasure, economy, brand loyalty. self-confidence. shopping plan, and fashion. And the factors of store selection criteria were additive service, store atmosphere, Product assortment, sales promotion. and product diversity. 3. Multi-card holding light users showed higher tendency in self-confidence and economy of shopping orientation, and considered additive service more. Multi-card holding heavy users showed higher tendency in pleasure. brand loyalty, self-confidence, shopping plan, and fashion of shopping orientation, and considered sales promotion and product diversity. Mono-card holding light users showed lower tendency in pleasure. brand loyalty, self-confidency, shopping plan, and fashion, and considered additive service, store atmosphere. product assortment, sales promotion, and product diversity less.
The small & micro business has the characteristics of both consumer credit risk and business credit risk. In predicting the bankruptcy for small-micro businesses, the problem is that in most cases, the financial data for evaluating business credit risks of small & micro businesses are not available. To alleviate such problem, we propose a bankruptcy prediction mechanism using the credit card sales information available, because most small businesses are member store of some credit card issuers, which is the main purpose of this study. In order to perform this study, we derive some variables and analyze the relationship between good and bad signs. We employ the new statistical learning technique, support vector machines (SVM) as a classifier. We use grid search technique to find out better parameter for SVM. The experimental result shows that credit card sales information could be a good substitute for the financial data for evaluating business credit risk in predicting the bankruptcy for small-micro businesses. In addition, we also find out that SVM performs best, when compared with other classifiers such as neural networks, CART, C5.0 multivariate discriminant analysis (MDA), and logistic regression.
Journal of Korean Society of Industrial and Systems Engineering
/
v.4
no.5
/
pp.51-63
/
1981
The credit card system has been introduced as a new sales method in the marketing field in Daegu city since 1978. In order to increase its efficiency of distribution channel. we should like to find the better ways in the credit card system. For this study, we choice randomly 420 persons credit card holders of a department store in Daegu city. Since the credit card holders purchase products and obtain the utility and satisfactions. salesmen should establish the improvement strategis to meet needs and desires of credit card holders. we conclude that the establishment of the management systems should be based on the management concepts of modern marketing for consumer profit. Than the advantages of credit card sale should not only be recognized but also to translated into material gains by its successful utilization. When credit card sale would come to this, I believe that credit card sale will be helpful for business men activity and consumer's life.
The Journal of Economics, Marketing and Management
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v.9
no.5
/
pp.39-50
/
2021
Purpose: This study is to analyze the changes of consumption patterns to diagnose the economic impacts on consumers' market during COVID-19, and to suggest implications to overcome the new social and economic crisis of Jeju Island. Research design, data, and methodology: We collected a set of credit card transaction records issued by BC Card Company from merchants in Jeju Special Self-Governing Province for past 4 years from 2017 to 2020 from the Jeju Data Hub run by Jeju Special Self-Governing Province. The big data contains details of approved credit card transactions including the approval numbers, amount, locations and types of merchants, time and age of users, etc. The researchers summed up amount in monthly basis, transforming big data to small data to analyze the changes of consumption before and after COVID-19. Results: Sales fell sharply in transportation industries including airlines, and overall consumption by age group decreased while the decrease in consumption among the seniors was relatively small. The sales of Yeon-dong and Yongdam-dong in Jeju City also fell significantly compared to other regions. As a result of the paired t-test of all 73 samples in Jeju City, the p-value of the mean consumption of the credit card in 2019 and 2020 is significant, statistically proven that the total consumption amount in the two years is different. Conclusions: We found there are sensitive spots that can be strategically approached based on the changes in consumption patterns by industry, region, and age although most of companies and small businesses have been hit by COVID-19. It is necessary for local companies and for the government to be focusing their support on upgrading services, in order to prevent declining sales and job instability for their employees, creating strategies to retain jobs and prevent customer churn in the face of the crisis. As Jeju Province is highly dependent on the tertiary industry, including tourism, it is suggested to create various strategies to overcome the crisis of the pandemic by constantly monitoring the sales trends of local companies.
This paper examines the impact of the regional cash subsidies which were granted in some districts in addition to the national universal stimulus payment in South Korea related to the COVID-19 pandemic. We evaluate the effects of the cash distribution per resident on aggregate credit and debit card sales and sales by industry using the difference-in-difference method. The increment in card spending due to the cash subsidy is about 1.58%p in total, and this effect is concentrated within a single month. The consumption stimulating effect is prominent among (semi)-durable goods that do not require close interactions between customers and sellers. In contrast, the effect is relatively small in the high-contact face-to-face service sectors and restaurants, areas the COVID-19 pandemic hit directly. On the other hand, some service sectors where customers could wear face masks, such as education and fitness, experienced a substantial sales boost due to the cash subsidy.
The purpose sof this study was to examine consumer's addictive buying through the TV home shopping, focused on materialism, show host and credit card use consumer. Two hundred four female consumers who had purchased fashion items in TV home shopping had participated for this study. For data analysis, descriptive statistics, factor analysis, t-test, and multiple regression were used for the study with SPSS 12.0 program. The result were as follows. First, the addictive buying group was 13.2% among respondents while non-addictive buying group was 86.8%. Second, materialism was classified into 3 factors: happiness, success and possessiveness. Show host was classified into 3 factors such as visual presentation, image and communication skill. Credit card was classified into 3 factors: sales promotion, late payment and method payment. Results of multiple regression revealed that happiness and possessiveness from materialism, credit card late payment, and show host communication skill were significantly related to addictive buying. Based on these results, this study would provide fashion marketing strategies for reasonable and reasonable consuming culture, since addictive buying has been not only individual problem but also social problem. Based on these results, this study would provide fashion marketing strategies for reasonable and reasonable consuming culture, since addictive buying has been not only individual problem but also social problem.
Korean card firms suffered harsh setbacks due to high credit defaults in 2002 and 2003, after issuing cards recklessly. Their key principle is changed to grow without damaging profitability and financial soundness. However, competition in the credit card market is heating up rapidly. Bank-affiliated card firms, having stronger sales networks and more capital than independent issuers, have increased their investments in card affiliates in a bid to develop new cash cows. Moreover, newly emerging independent card firms have waged fiercer campaigns to raise their credit card market share. In order to overcome these business conditions, S-card has settled on a strategy that focuses on stepping up marketing aimed at increasing charge card spending rather than credit card loans or cash lending services. Accordingly, S-card reformed the current business classification system of merchants, which was out-of-dated and originally built for the purpose of deciding merchant service fees only. They also drove customer segmentation planning to deliver the right customers to the right merchants. In this paper, we emphasize the problems of business classification systems of merchants with which most credit card firms have faced, and the need for reforming them not only to provide customer-tailored services but also to raise their business promotion excellence by reviewing S-card's process of customer segmentation.
The purpose of this study was to investigate whether strategic alliance sales promotions have short-term or long-term or sales or communication effects in the family restaurant industry. The hypotheses were tested in family restaurant settings using a sample of customers visiting and enjoying food in the metropolitan city of Daegu. Empirical results confirmed that strategic alliance sales promotions had short-term and long-term effects, as well as sales and communication effects. Therefore, family restaurant managers should adopt or keep sales promotion strategic alliances with credit card companies. Furthermore, family restaurant managers should adopt or keep sales promotions with other companies. In a future study, more variables should be selected to test the sales promotion effects of strategic alliances.
Recently strategic alliance between business firms has become prevalent to overcome increasing competitive threats and to supplement resource limitation of individual firms. As one of allianced sales promotion activities, a new type of discount program, so called "Alliance Card Discount", is introduced with the partnership of credit cards and loyalty cards. The program mainly pursues short-term sales growth by larger discount scheme while spends less through cost share among alliance partners. Thus this program can be regarded as cost efficient discount promotion. But because there is no solid evidence that it can really deliver profitable sales growth, an empirical study for its effects on sales and profit should be conducted. This study has two basic research questions concerning the effects of allianced discount program ; 1)the possibility of sales increase 2) the profitability of the discount driven sales. In F&B industry, sales increase mainly comes from increased guest count. Especially in family restaurants, to increase the number of guests we need to enlarge the size of visitor group (number of visitors for one group) because customers visit by group in a special occasion. And because they pay the bill by group(table), the increase of sales per table is a key measure for sales improvement. The past researches for price & discount sensitivity and reference discount rate explain that price sensitive consumers have narrow reference discount zone and make rational purchase decision. Differently from all time discount scheme of regular sales promotions, the alliance card discount program only provides the right to get discount like discount coupon. And because it is usually once a month opportunity given by the past month usage level, customers tend to perceive alliance card discount as a rare chance to get. So that we can expect customers try to maximize the discount effect when they use the limited discount opportunity. Considering group visiting practice and low visit frequency of family restaurants, the way to maximize discount effect should be the increase the size of visit group. And their sensitivity to discount and rational consumption behavior defer the additional spending for ordering high price menu, even though they get considerable amount of savings from the discount. From the analysis of sales data paid by alliance discount cards for four months, we found the below. 1) The relation between discount rate and number of guest per table is positive : 25% discount results one additional guest 2) The relation between discount rate and the spending per guest is negative. 3) However, total profit amount per table is increased when discount rate is increased. 4) Reward point accumulation & redemption did not show any significant relationship with the increase of number of guests. These results suggest that the allianced discount program substantially contributes to sales increase and profit improvement by increasing the number of guests per table. Though the spending per guest is decreased by discount rate increase, the total amount of profit per table is improved. It seems the incremental profit by increased guest count offsets the profit decrease. Additional intriguing finding is the point reward system does not have any significant impact on the increase of number of guest, even if the point accumulation & redemption of loyalty program are usually regarded as another saving offers by customers. In sum, because it is proved that allianced discount program with credit cards and loyalty cards is effective to both sales drive and profit increase, the alliance card program could be recommended as strategically buyable program.
E-mail marketing is the cheapest channel in target marketing. The channel works amazingly well for marketers who know how to use it. The e-mail marketers are able to integrate transactional and behavioral data to improve the targeting content of e-mail marketing campaigns. The cost in e-mail marketing is low and e-mail marketing makes no pollution. But, the e-mail response rate is lower than all the other channels. So, it is very hard for companies to increase their sales volumes, though the companies are ready to execute e-mail marketing campaigns on the side of computer systems. Marketers can send messages easily to target customers compared to other channels. But, the possibility to be read by the customers is low. Normal e-mails are continually devalued by spam mails. This study shows the influence of e-mail marketing to increase sales used by credit cards, on the basis of the real data promoted by A bank, in the Republic of Korea. The analysis on the traits of the respondent can help marketers to target customers. If additional studies on the response prediction model on the basis of traits of potential respondents are done, the targeting method to increase the effectiveness of e-mail marketing will be better structured and organized.
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