• Journal of Korea Trade
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• v.26 no.7
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• pp.185-202
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• 2022

Purpose - As overseas direct purchase transactions using e-commerce increase, the scale and scope of international trade are diversified, and the transaction volume using online platforms in e-commerce is increasing. The e-commerce market share will become more important because it is not only a medium connecting B2C, but also because it will expand the scope of trade. This study aims to reveal the factors that influence purchase intention according to Korean-Chinese consumers in e-commerce. In addition, the study has comprehensively confirmed the influence between each factor in the e-commerce environment by integrating and analyzing the characteristic factors of online information sources and platforms in one structural equation. Finally, the study confirmed that there is a significant difference in the influence relationship between Korean and Chinese consumers. Through this, the study will contribute to content production in the e-commerce market according to the target market and the expansion of the mutual entry of Korea and China. Design/methodology - This study aims to confirm the mediating effect of the details of the online information source characteristics and platform characteristics when the perceived quality affects purchase intention. It is confirmed that the factors affecting Korean and Chinese consumers differ. Findings - It was confirmed that differences exist according to the group of Korean or Chinese consumers for the entire research model. In the case of Korean consumers, the mediating factors when perceived quality affects purchase intention are expertise, reliability, entertainment, informativity, and convenience; in the case of Chinese consumers, the factors are expertise and informativity. Originality/value - This study proved that Korean and Chinese consumers cannot be regarded as having the same characteristics, and therefore, strategies aimed at each e-commerce market should be differentiated. In addition, although previous studies on online information sources and platform characteristics were not integrated, this study confirmed a significant influence relationship among the factors that could affect purchase intention in the actual e-commerce environment.

• Informatization Policy
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• v.31 no.2
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• pp.65-81
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• 2024

The scale of e-procurement through online shopping malls of public institutions including government comprehensive shopping malls is increasing day by day. This study aims to examine how public officials evaluate products, delivery, and post service of online shopping malls for public institutions and to explore ways of improving their satisfaction. The results from a survey conducted among public officials of public institutions who have experience using online shopping malls of public institutions showed generally high satisfaction levels, although there was dissatisfaction with product diversity. Perception of delivery quality was generally positive, but there was room for improvement in delivery service. Furthermore, employing structural equation modeling, the study examined the influences on satisfaction and intention to reuse. Perceived product quality, delivery quality, and delivery service quality were confirmed to influence satisfaction considerably. Therefore, more efforts should be directed towards managing the information and quality of products to prevent returns, exchanges, and repairs and, in case of issues, handling them promptly and transparently.

• Therapeutic Science for Rehabilitation
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• v.13 no.3
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• pp.9-21
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• 2024

Objective : This study investigated the effects of depression on online and offline social interactions among middle-aged and older adults with the aim of enhancing their social connectivity and mental well-being. Methods : Utilizing the Patient Health Questionnaire-9 and the Lubben Social Network Scale-6, this study assessed depression and social relationships in 429 middle-aged adults. We explored the mediation effects of offline relationships on online interactions using path analysis and the Sobel test. Results : Significant links were found between depression and social relationships in a cohort of educated males averaging 63 years of age. Offline interactions mediated 32% of the influence of depression on online relationships, with strong model fit indices emphasizing the importance of offline social interactions. Conclusion : This study highlights the role of active engagement in online and offline networks in improving mental health and managing the impact of depression on social activity among older adults, helping prevent isolation.

• The Mathematical Education
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• v.57 no.3
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• pp.215-229
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• 2018

Despite the importance of learning to do mathematical proofs, researchers have reported that not only secondary school students but also undergraduate students have difficulties in learning proofs. In this study, we introduced a new toll for learning proofs and explored the reliability and the validity of peer assessment on proofs. In the course of a university in Seoul, students were given weekly proof assignments prior to class. After solving the proofs, each student had to assess other students' proofs. The inter-rater reliabilities of weekly peer assessment was higher than .9 over 90 percent of the observed cases. To examine the validity of peer assessment, we check whether students' assessments were similar to expert assessment. Analysis showed that the equivalence has been quite high throughout the semester and the validity was low in the middle of the semester but rose by the end of the semester. Based on these results, we believe instructors can consider the application of peer assessment on proving tasks as a tool to help students learn.

• Acta Via Serica
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• v.5 no.2
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• pp.111-140
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• 2020

This paper focuses on the emerging patterns of educational mobility and unskilled labor migration from Uzbekistan to Japan and South Korea. Labor migration and educational mobility are becoming the next "horizon" in the expanded relationship between East and Central Asia, powered by several factors, including the efforts by Japan and South Korea to build "original" people-oriented policy engagements with the region and the demand from Central Asian states, such as Uzbekistan, to provide more labor opportunities to their young and growing populations. This paper presents the initial findings of a pilot survey that explores and occasionally compares the experiences of Uzbek migrants to Japan and South Korea, using datasets of face-to-face interviews related to various aspects of life in Japan and South Korea. The interviews were conducted face to face and online (Telegram, Skype, etc.) with 66 migrants and Japanese language school students (whom this paper treats as labor migrants masquerading as students) in Japan from November 2019 to January 2020 as well as online with 30 laborers and students in South Korea from August to September 2020.

• Journal of the Korean Society of School Health
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• v.25 no.1
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• pp.51-58
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• 2012

Purpose: This study aims to discover the relation between the sleep duration and quality of adolescents and their body mass index. Methods: The study used data obtained through the 2009 online survey on adolescents health behaviors, targeting a total of 75,066 middle and high school students (39,612 of male students and 35,454 of female students). We first performed t-test, ANOVA and Scheffe's test and then the potential variables which was possibly related to the body mass index are determined from the tests. Using the potential variable, we performed the multiple regression analysis to finally identify the relation between the duration and quality of sleep. Results: As a result, the 39.8% of male students and the 46.5% of female students most frequently respond that the sleep duration was less than 6 hours, and 36.4% of male students and the 45.3% of female students respond that the quality of sleep was not good enough. The body mass index of both the male and the female students portionally decreases to their sleep duration, but the better quality of sleep makes their body mass index higher. Conclusion: In conclusion, the body mass index has some notable relationship with the sleep duration and quality for adolescents. It is advised to consider the sleep duration and quality in the business plans for adolescents in order for the prevention of their body mass index.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.6
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• pp.1465-1475
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• 2015

Cheating detection models in the online games can be divided into two parts. The one is on client based model, which is designed to detect malicious programs not to be run while playing the games. The other one is server based model, which distinguishes the difference between benign users and cheaters by the server log analysis. The client based model provides various features to prevent games from cheating, For instance, Anti-reversing, memory manipulation and so on. However, being deployed and operated on the client side is a huge weak point as cheaters can analyze and bypass the detection features. That Is why the server based model is an emerging way to detect cheating users in online games. But the simple log data such as FPS's one can be hard to find validate difference between two of them. In this paper, In order to compensate for the disadvantages of the two detection model above, We use the existing game security solution log as well as the server one to bring high performance as well as detection ratio compared to the existing detection models in the market.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.4
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• pp.73-84
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• 2017

This study started from searching for cause and solution of the part where online shopping malls are easy to start but easy to choose. It is thought that online shopping mall business has sufficient merit in the situation of Korea which is rapidly spreading internet, and it started from the opinion that if it can strengthen the characteristics of successful business start-ups, it can increase the rate of failure and reduce the failure rate. Internet shopping mall education experts gathered and discussed in depth what is the way in which mall entrepreneurs can maintain business continuously. As a result of summarizing the opinions of many shopping mall experts, we concluded that the marketing capabilities of each company should be strengthened. In addition, the importance of entrepreneurship education has emerged. In particular, it has been concluded that strengthening the competence of marketing mix is an important factor that determines the success and failure of the company. In this case, the researchers started to study this question with the question of what factor of marketing 4P has the greatest influence on the success of start-up. I also decided to study the impact of entrepreneurship education. As a result of this study, marketing mix ability as an independent variable has a significant positive effect on the success of entrepreneurship. Especially, the effect of product mix among 4Ps is significant for successful entrepreneurship.

• Journal of Intelligence and Information Systems
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• v.18 no.4
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• pp.1-17
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• 2012

Personalized smart devices such as smartphones and smart pads are widely used. Unlike traditional feature phones, theses smart devices allow users to choose a variety of functions, which support not only daily experiences but also business operations. Actually, there exist a huge number of applications accessible by smart device users in online and mobile application markets. Users can choose apps that fit their own tastes and needs, which is impossible for conventional phone users. With the increase in app demand, the tastes and needs of app users are becoming more diverse. To meet these requirements, numerous apps with diverse functions are being released on the market, which leads to fierce competition. Unlike offline markets, online markets have a limitation in that purchasing decisions should be made without experiencing the items. Therefore, online customers rely more on item-related information that can be seen on the item page in which online markets commonly provide details about each item. Customers can feel confident about the quality of an item through the online information and decide whether to purchase it. The same is true of online app markets. To win the sales competition against other apps that perform similar functions, app developers need to focus on writing app descriptions to attract the attention of customers. If we can measure the effect of app descriptions on sales without regard to the app's price and quality, app descriptions that facilitate the sale of apps can be identified. This study intends to provide such a quantitative result for app developers who want to promote the sales of their apps. For this purpose, we collected app details including the descriptions written in Korean from one of the largest app markets in Korea, and then extracted keywords from the descriptions. Next, the impact of the keywords on sales performance was measured through our econometric model. Through this analysis, we were able to analyze the impact of each keyword itself, apart from that of the design or quality. The keywords, comprised of the attribute and evaluation of each app, are extracted by a morpheme analyzer. Our model with the keywords as its input variables was established to analyze their impact on sales performance. A regression analysis was conducted for each category in which apps are included. This analysis was required because we found the keywords, which are emphasized in app descriptions, different category-by-category. The analysis conducted not only for free apps but also for paid apps showed which keywords have more impact on sales performance for each type of app. In the analysis of paid apps in the education category, keywords such as 'search+easy' and 'words+abundant' showed higher effectiveness. In the same category, free apps whose keywords emphasize the quality of apps showed higher sales performance. One interesting fact is that keywords describing not only the app but also the need for the app have asignificant impact. Language learning apps, regardless of whether they are sold free or paid, showed higher sales performance by including the keywords 'foreign language study+important'. This result shows that motivation for the purchase affected sales. While item reviews are widely researched in online markets, item descriptions are not very actively studied. In the case of the mobile app markets, newly introduced apps may not have many item reviews because of the low quantity sold. In such cases, item descriptions can be regarded more important when customers make a decision about purchasing items. This study is the first trial to quantitatively analyze the relationship between an item description and its impact on sales performance. The results show that our research framework successfully provides a list of the most effective sales key terms with the estimates of their effectiveness. Although this study is performed for a specified type of item (i.e., mobile apps), our model can be applied to almost all of the items traded in online markets.

• Journal of Intelligence and Information Systems
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• v.18 no.1
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• pp.23-38
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• 2012

There is a large difference between purchasing patterns in an online shopping mall and in an offline market. This difference may be caused mainly by the difference in accessibility of online and offline markets. It means that an interval between the initial purchasing decision and its realization appears to be relatively short in an online shopping mall, because a customer can make an order immediately. Because of the short interval between a purchasing decision and its realization, an online shopping mall transaction usually contains fewer items than that of an offline market. In an offline market, customers usually keep some items in mind and buy them all at once a few days after deciding to buy them, instead of buying each item individually and immediately. On the contrary, more than 70% of online shopping mall transactions contain only one item. This statistic implies that traditional data mining techniques cannot be directly applied to online market analysis, because hardly any association rules can survive with an acceptable level of Support because of too many Null Transactions. Most market basket analyses on online shopping mall transactions, therefore, have been performed by expanding the co-occurrence criteria of traditional association rule mining. While the traditional co-occurrence criteria defines items purchased in one transaction as concurrently purchased items, the expanded co-occurrence criteria regards items purchased by a customer during some predefined period (e.g., a day) as concurrently purchased items. In studies using expanded co-occurrence criteria, however, the criteria has been defined arbitrarily by researchers without any theoretical grounds or agreement. The lack of clear grounds of adopting a certain co-occurrence criteria degrades the reliability of the analytical results. Moreover, it is hard to derive new meaningful findings by combining the outcomes of previous individual studies. In this paper, we attempt to compare expanded co-occurrence criteria and propose a guideline for selecting an appropriate one. First of all, we compare the accuracy of association rules discovered according to various co-occurrence criteria. By doing this experiment we expect that we can provide a guideline for selecting appropriate co-occurrence criteria that corresponds to the purpose of the analysis. Additionally, we will perform similar experiments with several groups of customers that are segmented by each customer's average duration between orders. By this experiment, we attempt to discover the relationship between the optimal co-occurrence criteria and the customer's average duration between orders. Finally, by a series of experiments, we expect that we can provide basic guidelines for developing customized recommendation systems. Our experiments use a real dataset acquired from one of the largest internet shopping malls in Korea. We use 66,278 transactions of 3,847 customers conducted during the last two years. Overall results show that the accuracy of association rules of frequent shoppers (whose average duration between orders is relatively short) is higher than that of causal shoppers. In addition we discover that with frequent shoppers, the accuracy of association rules appears very high when the co-occurrence criteria of the training set corresponds to the validation set (i.e., target set). It implies that the co-occurrence criteria of frequent shoppers should be set according to the application purpose period. For example, an analyzer should use a day as a co-occurrence criterion if he/she wants to offer a coupon valid only for a day to potential customers who will use the coupon. On the contrary, an analyzer should use a month as a co-occurrence criterion if he/she wants to publish a coupon book that can be used for a month. In the case of causal shoppers, the accuracy of association rules appears to not be affected by the period of the application purposes. The accuracy of the causal shoppers' association rules becomes higher when the longer co-occurrence criterion has been adopted. It implies that an analyzer has to set the co-occurrence criterion for as long as possible, regardless of the application purpose period.