• Korea Trade Review
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• v.48 no.4
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• pp.303-320
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• 2023

Recently, import and export companies have been using T/T remittance and Surrender B/L more frequently than L/C when selecting the process and method of trade payment settlement. The new trade and logistics environment is thriving in the era of the Fourth Industrial Revolution (4IR). Document-based trade transactions are undergoing a digitalization as bills of lading or smart contracts are being developed. The purpose of this study is to verify whether exporters choose export payment types based on negotiating factors. In addition, we would like to discuss the application of the characteristics of the new trade and logistics environment. Data for analysis was collected through surveys. The collection method consisted of direct visits to the company, e-mail, fax, and online surveys. The survey distribution period is from February 1, 2023, to April 30, 2023. The questionnaire was distributed in 2,000 copies, and 447 copies were collected. The final 336 copies were used for analysis, excluding 111 copies that were deemed inappropriate for the purpose of this study. The results of the study are shown below. First, among the negotiating factors, the product differentiation of exporters did not significantly affect the selection of export payment types. Second, among the negotiating factors, the greater the purchasing advantage recognized by exporters, the higher the possibility of using the post-transfer method. In addition to analyzing the results, this study suggests that exporters should consider adopting new payment methods, such as blockchain technology-based bills of lading and trade finance platforms, to adapt to the characteristics of the evolving trade and logistics environment. Therefore, exporters should continue to show interest in initiatives aimed at digitizing trade documents as a response to the challenges posed by bills of lading. In future studies, it is necessary to address the lack of social awareness in Korea by conducting advanced research abroad.

• Journal of the Korea Society of Computer and Information
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• v.25 no.1
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• pp.131-140
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• 2020

In this study, we analyzed the effect of consumer's cognitive response, emotional response and behavioral response on online shopping stockouts (ISRI: Individual Stockout Response Index). And we try to show the heterogeneity of the degree of consumer response by subdivision market based on the regularity of distribution. The ISRI was developed by Kim and Lee in 2016 and 2018, which were based on the items and factors of cognitive, emotional and behavioral responses. The exponential stockouts response of consumers in this study will give an accurate picture of what consumers want when stockouts. further research should be done on how consumers' reactions are influenced by situational characteristics, consumer characteristics, store characteristics and brand / product characteristics. Especially, the price level of the product will affect the consumer 's response in the case of online fashion goods shopping.

• The Journal of Society for e-Business Studies
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• v.15 no.4
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• pp.21-31
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• 2010

Recently e-business such as online financial trade and online shopping using mobile computes are widely spread. Most of mobile computers use NAND flash memory-based storage devices for storing data. Flash memory storage devices use a software called flash translation layer to translate logical address from a file system to physical address of flash memory by using mapping tables. The legacy FTLs have a problem that they must maintain very large mapping tables in the RAM. In order to address this issues, in this paper, we proposed a new caching scheme of mapping tables. We showed through the trace-driven simulations that the proposed caching scheme reduces the space overhead dramatically but does not increase the time overhead. In the case of online transaction workload in e-business environment, in particular, the proposed scheme manifests better performance in reducing the space overhead.

• Journal of the Korean Society of Costume
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• v.67 no.2
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• pp.131-146
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• 2017

The aim of this study is to investigate the operating characteristics of fashion start-up companies and the characteristics of their founders. For this purpose, this study surveyed fashion start-up companies via online survey in May 2015, and analyzed the data from one hundred companies. The results are as follows. First, for the characteristics of the founders, female founders constituted 65.0% and male founders 35.0%. At the time of establishment, founders aged 26-35 constituted 77.0%. Founders with less than five years of work experience made up about 80%. 82.1% of the founders participated in domestic and foreign exhibitions/fairs. 41.0% of the founders were awarded fashion contest and competition awards, and 33.3% of the founders were supported by rising designer support projects. Second, for the operating characteristics of the start-up companies, clothing at 78.0% was the most popular entrepreneurial item, and the majority targeted the age 20-30 group. 78.0% of the companies had less than 40 production styles per season, and all the enterprises had less than 5 employees. 59.0% of the companies had export experience. Exports to China, Hong Kong, and Japan accounted for 67.4% of all exports. Major distribution channels were mainly select shops(offline select shops 79.8%, online select shops 62.8%). The main methods of promotion were fashion media articles/interviews, product sponsorship, and SNS. The most preferred distribution channel was becoming a part of online/offline select shops(92.6%). Viral marketing(84.4%), star marketing and costume sponsorship(66.7%) were the most preferred method of promotion. The most preferred way to enter foreign markets was to participate in domestic and foreign exhibitions/fairs/trade shows. This study provides basic data necessary for future founders preparing to launch fashion start-up companies. It also aids fashion start-up companies in developing more advanced business operation strategies.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.47-56
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• 2022

With the advent of online platforms, individuals have been able to trade small resources, such as a room, in the market. However, as there is no clear regulation on these economic activities, various side effects have emerged. Accordingly, the government reestablished related policies to resolve the unintended consequences of these economic activities. However, the policy has not been implemented yet, and many participants do not comply with the policy. Therefore, this study intends to examine their perceptions in detail. For this purpose, a text mining technique was applied. Posts and comments from major online communities were collected. By applying the topic modeling technique, 5 topics were derived. Compliance with the government's policy is a voluntary decision. Therefore, it is necessary to carry out an in-depth understanding of the policy target. Therefore, based on this study, it is expected that in the future, methods to induce them to conform to policy can be discussed in detail.

• Industry Promotion Research
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• v.8 no.4
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• pp.177-186
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• 2023

Modern society is operated based on the internet, wireless networks, and digital devices to the extent that it is called a digital society. In particular, as most of financial transactions, information movement, and commercial activities are based online, various social problems and side effects related to this are increasing rapidly. Representative examples include industrial espionage activities and leakage of industrial technology, and social problems such as illegal goods trade such as drugs using online and online gambling are increasing to a serious level. These digital-based social problems cannot be solved only by the activities and capabilities of judicial institutions such as police and prosecutors. Now that the private investigation market is open, active intervention using them is necessary. To this end, it is necessary to actively cultivate private investigator's ability to investigate and collect evidence in relation to digital social and criminal problems. In addition, each private investigation education institution or association should actively invest and research this.

• CRM연구
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• v.1 no.1
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• pp.23-48
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• 2006

Internet B2C marketplace such as 'Auction', 'G Market', 'Daum onket' etc.(called open market) has grown sharply in sales about yearly 100% rate increase in recent 1-2 years in Korea. Although Open marketplace has much reputation and the customer loyalty, almost of merchants participated in open market, which size in sales are medium/small, has poor reputation and trust. Consumers, who have to get in touch with untrustworthy merchants for trade in openmarket, perceive high trade risk which undergo the monetary damages such as 'merchandise never received'. This examines what factors consumer trust develop in online marketplace. This study explores several perceived risk factors in an open market by factor analysis and multi-regression to prove the relationships between the degree of trust for the merchants and the perceived trade risk. 133 data collected from the open market user data in this survey. In this study, the consumer's trade satisfaction in open market is low by 4.2 point degree of 7 point likert scale. and perceives 4 trade risk factors such as (1) 'failure to honor warranty or guarantee' (2) 'defective/poor goods in quality' (3) 'merchandise never received or received late' (4) 'poor information'. the degree of merchant's trust has significant relationship with the degree of perceived risk(sig. = 0.0000, $R^2=.327$) We find that the open market has to enhance the relationship marketing of trust by developing the strategies.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.3
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• pp.585-600
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• 2012

Security issues in online games are increasing as the online game industry grows. Real money trading (RMT) by online game users has become a security issue in several countries including Korea because RMT is related to criminal activities such as money laundering or tax evasion. RMT-related activities are done by professional work forces, namely gold-farmers, and many of them employ the automated program, bot, to gain cyber asset in a quick and efficient way. Online game companies try to prevent the activities of gold-farmers using game bots detection algorithm and block their accounts or IP addresses. However, game bot detection algorithm can detect a part of gold-farmer's network and IP address blocking also can be detoured easily by using the virtual private server or IP spoofing. In this paper, we propose a method to detect gold-farmer groups by analyzing their connection patterns to the online game servers, particularly information on their routing and source locations. We verified that the proposed method can reveal gold-farmers' group effectively by analyzing real data from the famous MMORPG.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.4
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• pp.195-209
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• 2021

According to the 2019-2020 social media usage survey conducted by the Seoul e-commerce center, 5 out of 10 consumers have experienced shopping through social media. The cost of traditional advertising media has been reduced and advertising spending on social media has risen by 74%, indicating that social media is becoming a more important marketing element. While the number of users of social media has increased and corporate marketing activities have increased accordingly, research has been conducted in various aspects of marketing such as user motivation for social media, satisfaction, and purchase intention. There was no subdivided study on the differences in the social media usage frequency of consumers in actual purchasing behavior. This study attempted to identify differences in consumer characteristics by cluster in the agrifood purchase situation by grouping them by type according to the frequency of use of social media for consumers who purchase agri-food online. Product involvement, product need, and online purchase channel Consumer characteristics such as demographic distribution, perceived risk, and eating and lifestyle in each cluster were checked for the three agrifood purchase situations including choice, and types for each cluster were presented. To this end, questionnaire data on the frequency of social media use and online agrifood purchase behavior were collected from 245 consumers, and the validity of the measurement variables was secured through factor analysis and reliability analysis. As a result of cluster analysis according to the frequency of social media use, it was divided into three clusters. The first cluster was a group that mainly used open social media, and the second cluster was a group that used both open and closed social media and online shopping malls; The third cluster was a group with low online media usage overall, and the characteristics of each cluster appeared. Through regression analysis, the effect on product involvement, product need, and purchase channel selection when purchasing agri-food online through each of the three clusters was confirmed through regression analysis. As a result of the regression analysis, the characteristic of cluster 1 in the situation of purchasing agri-food online is a male in his 30s living in a rural area who has no reluctance to purchase agri-food on social media or online shopping malls. The characteristics of cluster 2 are mainly consumers who are interested in purchasing health food, and the consumer characteristics are represented. In the case of cluster 3, when purchasing products online, they purchase after considering quality and price a lot, and the consumer characteristics are represented as people who are more confident in purchasing offline than online. Through this study, it is judged that by identifying the differences in consumer characteristics that appear in the agri-food purchase situation according to the frequency of social media use, it can be helpful in strategic judgments in marketing practice on social media customer targeting and customer segmentation.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.3
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• pp.1-12
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• 2013

Illegal software use have been abroad through online (internet) and offline (CD, DVD, USB, etc.). It infringes intellectual property rights and weakens the will to software development. Also, it generates the software errors and virus intrusion in PC. It hinders national software industry and induces the personal and national trade friction. Many group (company, office, organization, institution, etc.) have been realized the prohibition of illegal software use. But, it is too hard to monitor and control illegal software use. In this paper, we propose a method of software management in a group. A software module of client agency is installed in all PC of the group. A main server of the software management controls the all of the PC through the communication. The server blocks the install of illegal software, permits the install / use of honest goods software, monitors the license (term, amount) in all the PC. The system prevents errors of illegal software use, all cuts the virus intrude through the illegal software, improves the performance of PC relatively.