• Asia pacific journal of information systems
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• v.31 no.2
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• pp.197-219
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• 2021

Social media platforms have become prominent channels for e-commerce, and the role of social network sites' (SNS) content marketing is expanding as a strategic marketing communication approach to attract and retain consumers and increase sales. In this study, we focused on South Korea market and explored the influence of linguistic complexity and informality on consumer engagement. In particular, we identified the importance of complexity, focusing on its negative effects, as well as the moderating effect of commerce features to minimize these effects. Specifically, content length, hashtags, long words, and average sentence length significantly and negatively impacted consumer engagement. The influence of emojis, an informality variable, was not statistically significant. Shoppable tags, a commerce feature that provides both advertising explicitness and shopping convenience, were a moderating factor in the influence of complexity. Our findings provide new insights for content marketing researchers, and have practical implications for social media managers and content developers.

• Journal of Environmental Science International
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• v.12 no.2
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• pp.207-215
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• 2003

The purpose of this study is to estimate the air quality of subway stations having underground platforms in Busan Metropolitan City, from September to November 2000, over seven times. The places of the investigation include Yonsan-dong station, Somyon station, Busan station, Nampo-dong station, and Dusil station. Samplings were conducted at three points in each station, i.e. gates, ticket gates, and platforms. CO, NO, $NO_2$, and $O_3$ were the main components of air for this analysis. In order to more fully understand station environments, we also measured an air temperature at each point. The results showed that the $O_3$ average concentration of Yonsan-dong station was higher than others with 38~51 ppb. The average concentration of NO was high at the ticket gate and platform at Somyon station (119 ppb, 122 ppb) and Nampo-dong station (102 ppb, 100 ppb). These results show that the air pollution of stations with underground shopping malls were higher than others. At Somyon station having a junction station, NO and $NO_2$ concentration levels of platform-2 (noncrowded) were higher than platform-1 (crowded). This is most likely due to the accumulation of air pollutants and inadequate ventilation systems. To find the relationship of the indoor (platform) and outdoor (gate), we analyzed the I/O ratio. The averages of CO and $O_3$ were both higher than one: 1.16 and 1.82, respectively. In the correlations between each material and the others, NO vs $NO_2$ was the highest with R=0.63. In the correlations between indoor and outdoor, $O_3$ was the highest with R=0.64.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.389-395
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• 2021

This study aims to evaluate the user experience of leading handmade product market service applications, Etsy and idus. A survey about the apps was developed based on Peter Morville's user experience factors. The survey was conducted with eleven users from their 20s to 50s. In addition, problems were discovered through an in-depth interview and the resulting user experience problems were analyzed according to the five levels of Jesse James Garrett's user experience element framework. Our primary results for both apps suggest applying a universally accepted visual interface to improve the user experience, providing brief text to improve readability, avoiding repetitive delivery of similar functions in different information structures, and applying design patterns that are considerate of customers' culture and country. This study provides meaningful data to elevate handmade product platforms into global platforms by analyzing and providing improvements to their shopping experiences.

• International Journal of Advanced Culture Technology
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• v.10 no.3
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• pp.146-155
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• 2022

The purpose of this study is to investigate the recyclability of Shenlong in China using SWOT. The main analysis results are as follows. First, provided that the company's current capacity utilization rate is seriously insufficient, reducing staff is one among the effective ways. Second, Shenlong should open a web store to cater to young people's online shopping behavior, and further expand the brand visibility using national mainstream media and online shopping platforms like Taobao and JingDong to market Dongfeng Peugeot and Dongfeng Citroen on the whole network. Third, under the premise of maintaining the present best-selling models, Shenlong should appropriately reduce the amount of models, adjust the assembly capacity ratio of every model and every displacement in real time per the newest market trends, increase the agility of auto companies' production, and timely meet the wants of domestic consumers. Fourth, dual-brand coordination and channel integration are very necessary, and also the profitability and profitability of dealers are going to be further improved, thereby increasing sales. Fifth, target building new energy leading products of Shenlong, strive to attain the forefront of the industry within the sales of recent energy vehicles within 5 years, and gradually expand new energy vehicle products from passenger vehicles to passenger vehicles and commercial vehicles. Finally, the marketing field of Shenlong Automobile should achieve "three major changes", that is, change from a goal-driven type to a demand-driven type, cancel the bundling of outlet invoicing goals and delivery incentive tiers; start from basic capabilities, and set pragmatic and challenging goals; focus Channels, to realize following the activation of outlets, and single store sales increase.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.465-467
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• 2022

Mobile phones have become an essential item nowadays since it provides access to online platform and service fast and easy. Coming to these platforms such as Social Network Service (SNS) for shopping have been a go-to option for many people. However, searching for a specific fashion item in the picture is challenging, where users need to try multiple searches by combining appropriate search keywords. To tackle this problem, we propose a system that could provide immediate access to websites related to fashion items. In the framework, we also propose a deep learning model for an automatic analysis of image contexts using instance segmentation. We use transfer learning by utilizing Deep fashion 2 to maximize our model accuracy. After segmenting all the fashion item objects in the image, the related search information is retrieved when the object is clicked. Furthermore, we successfully deploy our system so that it could be assessable using any web browser. We prove that deep learning could be a promising tool not only for scientific purpose but also applicable to commercial shopping.

• KIPS Transactions on Computer and Communication Systems
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• v.13 no.1
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• pp.10-20
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• 2024

As the online commerce market continues to expand with an increase of diverse products and content, users find it challenging in navigating and in the selection process. Thereafter both platforms and shopping malls are actively working in conducting continuous research on recommendations system to select and present products that align with user preferences. Most existing recommendation studies have relied on user data which is relatively easy to obtain. However, these studies only use a single type of event and their reliance on time dependent data results in issues with reliability and complexity. To address these challenges, this paper proposes a recommendation system that analysis user preferences in consideration of the relationship between various types of event data. The proposed recommendation system analyzes the correlation of multiple events, extracts weights, learns the recommendation model, and provides recommendation services through it. Through extensive experiments the performance of our system was compared with the previously studied algorithms. The results confirmed an improvement in both complexity and performance.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.6
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• pp.117-132
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• 2023

With the recent spread of COVID-19, the size of the online shopping market continues to increase, and various online platforms are appearing in the market, and many small and medium businesses are entering the platform. As the recent increase in the use of the platform by small andmedium businesses as raised the issue of appropriate platform fees, the need for social discussions on the use of the platform and fees is raised. Currently, most discussions regarding fees primarily focus on specific cases from a negative perspective, and discussions that comprehensively consider the platform's utilization value and fees are insufficient. Therefore, this study aims to systematically and comprehensively understand platform fees by considering the value of using platform services and commission costs together. To achieve this, the economic value of each platform service was estimated and analyzed in detail. It selected two industries that are actively using online platforms, delivery services and e-commerce, and paid attention to changes in expected profits generated by sellers using platform services, and compared and analyzed expected profits based on estimated sales and costs for each scenario, such as whether sellers entered the platform and whether they used the service. As a result of the study, our results that entering the platform and using the platform service enable sales increase and cost reduction, which have a positive effect on the seller's expected profit. Through this study, we intend to understand platform fees from the perspective of user fees for platform service use and value acquisition, and based on this, estimate the economic value of platform services and fees to expand the value and cost of using platform services to a comprehensive and systematic discussion.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.2 no.1
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• pp.59-66
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• 2001

Networked Virtual Reality systems provide a consistent virtual world to the users, possibly ditributed across long distance, and have been widely applied in the military war game, network game. edutainment, architectural areas, and shopping mall etc. Large processing requirements. however. made these systems be mainly researched on the platforms of high-performence system graphics workstations. This study paper Presents several problems when networked virtual reality systems are implemented on commodity Internet : two problems related with 3D graphical Processing, and the other related with network bandwidth and transmission delay. We also suggest solutions to these problems and analyze their performance effect based on an architectural simulation application.

• International journal of advanced smart convergence
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• v.10 no.4
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• pp.183-197
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• 2021

Xiaohongshu is called China's Instagram and is leading overseas product purchases and culture sharing. The purpose of this study is to investigate the structural relationship between Xiaohongshu service quality, emotional response perceived by users, and adhesion to confirm the impact on Xiaohongshu's adhesion at a time when non-face-to-face activities due to COVID-19 have increased. This study distributed and collected questionnaires from October 1st to October 7th, 2021, targeting 210 online shopping mall users. The research results were derived from a total of 206 questionnaires, excluding 4 questionnaires such as omission of record contents, and the causal relationship of the existing PAD model was attempted to be reported by revising and supplementing the existing PAD model. As a result of the study, first, it was confirmed that design among service quality had a positive effect only on ventilation during the user's emotional response. Second, it was confirmed that information among service quality had a positive effect on pleasure and ventilation among users' emotional responses. Third, it was found that security among service quality had a positive effect on pleasure among users' emotional responses. Finally, it was found that pleasure and ventilation had a positive effect on adhesion in the user's emotional response. Based on this result, it is expected that it will be used for operation on other online platforms than the plan for the development of Xiaohongshu.

• Asia-Pacific Journal of Business
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• v.10 no.1
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• pp.73-86
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• 2019

Since its launch, WeChat has been changing the Chinese lifestyle, changing the traditional way of distribution, and changing the way companies market with the combination of information innovation and New Media. Now, WeChat plays an indispensable role in peopl's daily lives, not only in chatting software, but also in shopping, delivery, ordering, payment, and games. This study was centered on people who have used WeChat and around these backgrounds, planned study models. Through prior research, the purpose of the research is to explore the factors influencing the effects of the WeChat platform on MPR and explore the media effects of advertising attitude between WeChat platform features and MPR effects and provide basic material on its continued development. The research has shown that the reliability and diversity of the WeChat platform has a significant impact on both advertising attitude and purchase intention and propaganda intention of MPR effects. Advertising attitude has a positive impact on purchase intention and propaganda intention, and advertising attitude is shown to have a mediated effect between the WeChat platform and the MPR effects. The results of this study suggest the theoretical enlightenment of "continuous and stable development of the WeChat platform", and it is expected that marketing development plans of various social platforms will provide basic materials.