• East Asian Economic Review
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• v.28 no.1
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• pp.69-94
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• 2024

The Covid-19 pandemic has caused unprecedented disruptions across industries worldwide. This paper aims to analyze the economic impact of the pandemic on the sales performance of basic commercial areas in Seoul, Korea. Using a regression analysis with credit card transaction data, the study underscores the critical nature of determining the reference point for comparison. Firstly, in comparison to the revenue in the same quarter before the onset of the pandemic, a significant decrease in revenue was observed across most categories during the pandemic periods. Secondly, when compared to the counterfactual revenue in the same period, extrapolated by an exponential smoothing forecasting, the overall revenue decrease during the periods was less pronounced, except in a few categories. Interestingly, certain categories appeared to witness marginal increases in sales after the pandemic. The paper discusses some policy implications of these findings.

• Journal of Digital Convergence
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• v.14 no.1
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• pp.151-161
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• 2016

As part of a policy to address climate change and pollution problem, the government introduced a green credit card scheme in order to motivate pro-environmental behaviors in July 2011. It is important to present the specific ways to facilitate pro-environmental behaviors using the consumer behavior pattern data. This study was a result of data from total fifty seven thousands customer purchasing history data of green credit card to be created for the 3 months from January to March 2015. As the analysis process is put in to operation the analysis of the purchasing customer's profile firstly, and the second come into association analysis to consider the buying associations for green products purchasing networks, the third estimate the useful parameters to affect the customer's pro-environmental behavior and customer characteristics. It shows that royal customers are from 30 to 40 years old and their incomes are from 30 million won to 40 million won. Especially, they live in Daegu, Gyeonggi, and Seoul.

• Journal of the Korean Home Economics Association
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• v.25 no.1
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• pp.93-104
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• 1987

The purpose of this study is to analyze the problems of present general clause to bring about consumer damages and to search for means to regulate general clause. For the purpose of this study, datas of the research on the actual condition about various trade general clause were used. And the research about various trade general clause was enforced by the government from September to December in 1984. The kind of general clause of an object of analysis is credit card, sales by visit, insurance trade, and travel intercession. As the result of analysis, many problems are found in every general clause and consumer damage by general clause are proved to be a serious state. As the means of the regulation of general clause, there are judicial regulation, administrative regulation, legislative regulation, and the establishment of a supervision committee of general clause. These four means must be cooperated mutually for the substantial regulation.

• Journal of Distribution Science
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• v.14 no.12
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• pp.141-151
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• 2016

Purpose - Salesperson perceptions of the fairness and accuracy of a performance evaluation system were examined by managerial and professional employees of large organization. The performance evaluation process is central to many personal decisions such as attitude for job and sales performance. This study investigates the relationship between perceived evaluation fairness, job satisfaction, organizational commitment, and sales performance. The main purpose of this study is to develop and empirically test a comprehensive model of salespersons' perceived evaluation fairness on sales performance. For this purpose, we identified the structural relationship between perceived evaluation fairness, job satisfaction, organizational commitment, and sales performance. Also we investigate the mediating effects on job satisfaction and organizational commitment between perceived evaluation fairness and sales performance. Research design, data, and methodology - To empirically test these relationships, data were collected by in-depth interviews from sales managers and questionnaire surveys from 300 salespersons who work for sales area (credit card company, insurance company). Demographically, the overall sample was 91.6% female, 77.9% 30s and 40s, and 34% college educated, with an average tenure with their present organizations of 4 years. The questionnaire was composed of total 20 items dealing with frequency, quality, and consequences of perceived evaluation fairness, job satisfaction, organizational commitment, and sales performance. To test the research hypotheses, collected data analyzed by confirmatory factor analysis (CFA) and structure equation model (SEM). Results - Through extensive and rigorous literature review process of related literature(Perceived evaluation fairness, Job satisfaction, Organizational commitment, Sales performance), research model and research hypothesis was set up. This study obtains the following research results. First, perceived evaluation fairness has a positive effect on job satisfaction, whereas the effects of perceived evaluation fairness on organizational commitment and sales performance did not show statistically significant result. Second, job satisfaction and organizational commitment have complete mediating roles to the relationship between perceived evaluation fairness and organizational commitment, and relationship between perceived evaluation fairness and sales performance. Conclusions - Based on the results, salespersons' perceived evaluation fairness is one of the key independent variable for making high job satisfaction, organizational commitment, and sales performance. Finally the theoretical, managerial implication and research limitations are mentioned in the discussion.

• Journal of Digital Convergence
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• v.15 no.6
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• pp.133-143
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• 2017

Data is the most important asset in the financial sector. On average, 71 percent of financial institutions generate competitive advantage over data analysis. In particular, in the card industry, the card transaction data is widely used in the development of merchant information, economic fluctuations, and information services by analyzing patterns of consumer behavior and preference trends of all customers. However, creation of new value through fusion of data is insufficient. This study introduces the analysis and forecasting of consumption trends of credit card companies which convergently analyzed the social data and the sales data of the company's own. BC Card developed an algorithm for linking card and social data with trend profiling, and developed a visualization system for analysis contents. In order to verify the performance, BC card analyzed the trends related to 'Six Pocket' and conducted th pilot marketing campaign. As a result, they increased marketing multiplier by 40~100%. This study has implications for creating a methodology and case for analyzing the convergence of structured and unstructured data analysis that have been done separately in the past. This will provide useful implications for future trends not only in card industry but also in other industries.

• Journal of Distribution Science
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• v.14 no.12
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• pp.71-78
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• 2016

Purpose - This paper is for the Analysis on the Hindrance Factors and Activation Scheme by the Type of Distribution Channel in Direct transaction of Agricultural Products. As the distribution structure of agricultural products has become changable, farmers seem to use the type of direct distribution in order to enhance the receiving price. This study aims to explore the hindrance factors and income variation rate in direct transaction of agricultural produces, specifically focusing on the 167 farmers. Research design, data, and methodology - To ascertain the hindrance factors exactly by the type of distribution channel, the managements were classified by four subcategories, that is high sales percentage with shopping malls, SNS, shopping malls and SNS, and off-line direct transaction. Results - As a result of the hypothesis test, hinderance factors in online direct deal activation were found to be in the order of the difficulty in continuous content production, the difficulty in shopping mall operation and maintenance, and the difficulty in card commission problems, and in the order of the difficulties in continuous content production, the difficulty in continuous content production, the difficulty in shopping mall operation and maintenance, and the difficulty in branding for the SNS group. Thus, it can be seen that the difficulty in continuous content production, shopping mall operation and maintenance were found to be the biggest obstacles. In addition, hindering factors in online direct deal activation were found to be in the order of the difficulty in credit card settlement, the difficulty in publicity, and the difficulty in dealing with unsold goods. The group with high sales rate in shopping mall was found to be increased by 23.9% in the gross income compared to the previous year, the group with high SNS sales ratio increased by 56.5%, the group with direct offline transaction increased by 37.1%, among which the group with the highest increase rate of SNS sales ratio was found to be the highest from the rate of increase/decrease of the income, which was statistically significant. Conclusions - It can be suggested that government and local government may provide agricultural management with supporting plan which in turn can activate direct transaction in any possible ways.

• Journal of Fashion Business
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• v.15 no.6
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• pp.1-22
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• 2011

This paper is a study on the information required for developing Korean clothing products intended for Chinese students in Korea and for opening markets of Korean clothing and brands in China. It analyses the buying behaviors, purchasing ability, the favourite apparel type for clothing, and satisfaction with Korean clothing and brands of Chinese students in Korea, with which it seeks a program for South Korea branding to enter into the Chinese clothing market. Three hundred fifty seven students of Hannam University and PaiChai University Chung nam National University in Daejeon-city took part in this study. This paper adopts Descriptive Analysis, Crossing Analysis, Bivariate Correlations, and One-way ANOVA in SPSS 17.0 with Post Hoc Multiple Comparisons to know about the impact of demographic variables of Chinese students in Korea on buying information sources, the criteria for store selection, buying capacity, praise degree on various properties of Korean clothes products and their satisfaction with Korean clothes products. The first proposal of expanding China market for Korean merchants is to achieve maximum sales based on sales promotion strategies, such as the credit card corporations, the store display and sales person service development, SPA, design size development, and to upgrade consumption values. The second proposal is Korean clothes corporations should open the Internet shopping corresponding to the physical stores, the most frequently used information source of Chinese students is the network, from the age distribution of Internet users in 2008 in China, population above 10 and below 30 accounts for 66.7% of all users, In recommending clothes made in Korea to Chinese young people, on-line advertising will get better effects than other strategies, specially during advertisement, they should take good use of Korean television shows and variety shows or help Chinese poor areas to do the social contribution hereby to improve the public image of Korean clothes corporations, which can bring good sale promotion effects as well.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.5 s.142
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• pp.637-648
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• 2005

The purpose of this study was to investigate the differences among internet and TV home-shopping perceived risk segments in regard to clothing shopping orientations and purchase intention. The subjects used for the study were 290 female consumers aged from 20 to 40 living in Seoul. The study used factor analysis, cluster analysis, ANOVA, Duncan test, and $\chi^2-test$. The results showed that the Internet and TV home-shopping perceived risks consisted of 9 factors: Products uncertainty risk, Internet shopping mall trust risk, account-related risk, delivery risk, social risk, size risk, exchange/return risk, TV watching-related risk, and price risk. The cluster analysis showed that there were five groups segmented: Size risk/TV watching risk group, Social risk/Internet trust risk group, Return risk/TV watching low-risk group, Delivery risk/product trust group, and Product risk group. The clothing shopping orientations were classified by 5 factors: Planned shopping, pleasure shopping, sales/fashion oriented shopping, time saving shopping, and credit card preference/in-store oriented shopping. The results showed that the five segmented perceived risk groups differed in regard to clothing shopping orientations, purchase intention, and demographics. Further group differences and implications of the results were discussed.

• Spatial Information Research
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• v.11 no.2
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• pp.171-184
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• 2003

Lots of application systems are developed for applying business GIS in marketing or strategic planning of the company, recently. Almost of the systems require statistics for some areas(trade areas or sales areas) as the important information of decision support. As far as now, trade areas are defined for individual stores using know-how of the specialists, but there is no well-defined method for defining of trade areas of the specific business domains or trade areas of the customers. In this study, we have applied the spatial data mining methods to the point features in GIS, evaluated the results of each methods, and discussed the feasibility of defining of trade areas. From the results of this study, we have concluded that the defining of trade areas from point features, such as franchisees of credit card company or memberships of retail chain store, and that the DENCLUE(DENsity-based CLUstEring) method is the best suitable spatial data mining algorithm for this purpose.

• Journal of the Korean Regional Science Association
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• v.38 no.3
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• pp.51-63
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• 2022

COVID-19 has had a detrimental effect on urban vibrancy, particularly in urban commercial districts. Against this backdrop, the goal of this study is to examine the changes in social and economic vitality in Seoul's commercial area before and after the COVID-19 outbreak, and to identify influential factors for the changes in vitality using multinomial logistic analysis. The following are the key findings derived from the study. First, an examination of the changes in the vitality of commercial districts by type revealed that the decline in economic vitality was greater than the decline in social vitality. Second, the greater the residential ratio, the less harmful the impact of COVID-19 on urban vibrancy. Third, unlike other types of commercial districts, traditional markets had a minor increase in credit card sales even though the floating population fell during the COVID-19 pandemic. Fourth, the accessibility of the subway did not play a positive role in reversing the decline in social and economic vitality caused by the pandemic in the commercial district of Seoul; rather, the accessibility of private automobiles contributed to the increase in social and economic vitality. These results imply that the development and activation of commercial areas accessible by non-motorized modes in the residential neighborhood are becoming crucial in the post pandemic era.