• The Journal of the Korea Contents Association
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• v.15 no.4
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• pp.139-152
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• 2015

One of the most latest trends in today's marketing practice is to create branded contents for interacting with online consumers. Marketers are increasingly adopting behind-the-scene contents which disclose a brand's backstage information in their contents marketing efforts. The current study conceptualizes this behind-the-scene storytelling based on dramaturgical theory and investigates its impacts on consumer responses. The study also examines how consumers advertising skepticism level would influence on the evaluation of branded contents. In addition, the moderating role of advertising skepticism in evaluating brand's backstage information is investigated. The findings suggests that consumers who are exposed to brand's backstage indicate greater information attitude, brand attitude, and purchase intention than those who are not exposed to brand's backstage. Also consumers who have lower advertising skepticism evaluated branded contents more positively than high ad skepticism consumers. Lastly, the moderating role of advertising skepticism on the impact of brand's backstage disclosure is reported.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.5
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• pp.871-879
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• 2020

Perceptual Ad-Blocking is a new advertising blocking technique that detects online advertising by using an artificial intelligence-based advertising image classification model. A recent study has shown that these Perceptual Ad-Blocking models are vulnerable to adversarial attacks using adversarial examples to add noise to images that cause them to be misclassified. In this paper, we prove that existing perceptual Ad-Blocking technique has a weakness for several adversarial example and that Defense-GAN and MagNet who performed well for MNIST dataset and CIFAR-10 dataset are good to advertising dataset. Through this, using Defense-GAN and MagNet techniques, it presents a robust new advertising image classification model for adversarial attacks. According to the results of experiments using various existing adversarial attack techniques, the techniques proposed in this paper were able to secure the accuracy and performance through the robust image classification techniques, and furthermore, they were able to defend a certain level against white-box attacks by attackers who knew the details of defense techniques.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.180-196
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• 2021

The goal of this research is to examine the effects of sports star influencer advertising value on brand equity in social networking sites. In particular, this study identifies the moderating role of consumer team identification. A total of 350 university students participated via online survey. To test proposed hypotheses, confirmatory factor analysis, structural equation modeling, and multi-group analysis were employed. It was found that informativeness, entertainment, and credibility showed significant positive effects on brand equity. Also, significant moderation effects of team identification were found in that consumers with high team identification compared to those with low team identification perceived higher value of entertainment. On the other hand, consumers with low team identification perceived more irritation than those with high team identification. This study contributes to the understanding of sports star influencer advertising in social networking sites. Theoretical and practical implications as well as suggestions for future research in this area are provided.

• The Research Journal of the Costume Culture
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• v.30 no.4
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• pp.548-562
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• 2022

We conducted this study to determine the TikTok usage status of Chinese consumers, and the effect of fashion advertisement type preference and TikTok characteristics on fashion product purchase intentions. For this study, we conducted a literature review and survey method. The following conclusions were drawn by collecting data online and performing statistical analysis. Firstly, the period of use was 2 - 4 years, and 95.1% of people used it for 2 - 3 hours a day, and 95.1% of the people had a purchasing experience on TikTok. Secondly, the most people were interested in self creating and editing videos in TikTok. With regards to TikTok content, groups aged 30 are significantly more interested in fashion coordination suggestions and influencer' recommendations than groups aged 20. Thirdly, this study found that the characteristics of TikTok fashion advertisements significantly influenced purchase intention. Among the characteristics of fashion advertisements, this study conclude that the "fashion entertainment" characteristic factor that fashion advertisements are fun and entertaining was the most influential variable on purchase intention, followed by useful information, reliability, and interactivity related to fashion. Fourthly, the types of preferred TikTok fashion advertising had a statistically significant effect on product purchase intention. The influential types of preferred advertising are top view, live advertisement, hashtag challenge, in-feed ads, and sticker ads.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.197-218
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• 2019

In addition to economic growth and national income increase, China is also experiencing rapid growth in consumption of cosmetics. About 67% of the total trade volume of Chinese cosmetics is made by e-commerce and especially K-Beauty products, which are Korean cosmetics are very popular. According to previous studies, 80% of consumer goods such as cosmetics are affected by the word of mouth information, searching the product information before purchase. Mostly, consumers acquire information related to cosmetics through comments made by other consumers on SNS such as SINA Weibo and Wechat, and recently they also use information about beauty related video channels. Most of the previous online word-of-mouth researches were mainly focused on media itself such as Facebook, Twitter, and blogs. However, the informational characteristics and the expression forms are also diverse. Typical types are text, picture, and video. This study focused on these types. We analyze the unstructured data of SINA Weibo, the SNS representative platform of China, and Meipai, the video platform, and analyze the impact of K-Beauty brand sales by dividing online word-of-mouth information with quantity and direction information. We analyzed about 330,000 data from Meipai, and 110,000 data from SINA Weibo and analyzed the basic properties of cosmetics. As a result of analysis, the amount of online word-of-mouth information has a positive effect on the sales of cosmetics irrespective of the type of media. However, the online videos showed higher impacts than the pictures and texts. Therefore, it is more effective for companies to carry out advertising and promotional activities in parallel with the existing SNS as well as video related information. It is understood that it is important to generate the frequency of exposure irrespective of media type. The positiveness of the video media was significant but the positiveness of the picture and text media was not significant. Due to the nature of information types, the amount of information in video media is more than that in text-oriented media, and video-related channels are emerging all over the world. In particular, China has made a number of video platforms in recent years and has enjoyed popularity among teenagers and thirties. As a result, existing SNS users are being dispersed to video media. We also analyzed the effect of online type of information on the online cosmetics sales by dividing the product type of cosmetics into basic cosmetics and color cosmetics. As a result, basic cosmetics had a positive effect on the sales according to the number of online videos and it was affected by the negative information of the videos. In the case of basic cosmetics, effects or characteristics do not appear immediately like color cosmetics, so information such as changes after use is often transmitted over a period of time. Therefore, it is important for companies to move more quickly to issues generated from video media. Color cosmetics are largely influenced by negative oral statements and sensitive to picture and text-oriented media. Information such as picture and text has the advantage and disadvantage that the process of making it can be made easier than video. Therefore, complaints and opinions are generally expressed in SNS quickly and immediately. Finally, we analyzed how product diversity affects sales according to online word of mouth information type. As a result of the analysis, it can be confirmed that when a variety of products are introduced in a video channel, they have a positive effect on online cosmetics sales. The significance of this study in the theoretical aspect is that, as in the previous studies, online sales have basically proved that K-Beauty cosmetics are also influenced by word-of-mouth. However this study focused on media types and both media have a positive impact on sales, as in previous studies, but it has been proven that video is more informative and influencing than text, depending on media abundance. In addition, according to the existing research on information direction, it is said that the negative influence has more influence, but in the basic study, the correlation is not significant, but the effect of negation in the case of color cosmetics is large. In the case of temporal fashion products such as color cosmetics, fast oral effect is influenced. In practical terms, it is expected that it will be helpful to use advertising strategies on the sales and advertising strategy of K-Beauty cosmetics in China by distinguishing basic and color cosmetics. In addition, it can be said that it recognized the importance of a video advertising strategy such as YouTube and one-person media. The results of this study can be used as basic data for analyzing the big data in understanding the Chinese cosmetics market and establishing appropriate strategies and marketing utilization of related companies.

• The Journal of the Korea Contents Association
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• v.10 no.11
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• pp.329-340
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• 2010

This paper aims to analyze the hyperlink between the portal sites and the press dot coms news and to grasp the features of news service on the online journalism. As a result of the analysis, the portal sites, in the number of news articles which the hyperlink service had been provided, were more than the press dot coms. But in the number of the hyperlinks in the news story which hyperlink service had been provided, the press dot coms were more than the portal sites. The contents that were hyperlinked to the news stories of online journalism were composed of a informative type and an advertising one. All contents that were hyperlinked to the news stories on portal site were informative. On the other hand, about 92% of the contents that were hyperlinked to the news stories on the press web sites were advertising. By means of this analysis, the features of news service on the online journalism could be grasped.

• Korean Management Science Review
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• v.20 no.2
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• pp.197-204
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• 2003

Comparison challenge approach is proposed as a form of challenger-activated. just-in-time Internet advertising. To develop a framework for a comparison challenge, we propose a theory of comparison value. A comparison is regarded valuable if a comparison opportunity is available and if the comparison is relevant and informative, has an appropriate level of detail, and is advantageous and trustworthy. Based on this theory, the CompareMe and CompareThem strategies are devised, and comparable objects are classified in terms of price and performance dominance as well as the scope of proximity. The idea is demonstrated with a comparison of PCs from five leading manufacturers. To assist in the planning of the comparison challenge, a mathematical programming model was formulated to maximize the value of comparison under the constraints of the comparison opportunity and budget. The model is applied to eight scenarios in terms of the range of comparing objects. The models under various scenarios are tested and contrasted with the real-world example of PCs. We found the ad effect of comparison challenge to be substantially better than banners (4.75 times) and similarity-based comparisons (2.77 times), providing customers with better performance and reduced prices.

• Asia pacific journal of information systems
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• v.25 no.2
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• pp.337-355
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• 2015

The Internet has become one of the most important channels for people to communicate and for companies to implement their sales promotion activities, such as advertising. Marketing and advertising attempt to influence customers' attitude to persuade them to choose to buy the advertisers' products instead of the competitors'. With the different forms of online marketing, such as search engine marketing, email marketing, and mobile marketing, advertisers can find more effective strategies to attract the attention of more targeted audiences. With the emergence of the social web (web 2.0), a new platform was introduced called social networks. This paper presents the current work in internet marketing activities until web 2.0, and conducts a social network analysis to aid in data extraction. Marketing and advertising companies have understood the power of information for a very long time. The more knowledge these companies have on the demographics, consumer habits, and preferences of particular customer types, the more they can tailor their product offerings, and the more sales they can make. This paper aims to understand the internet marketing concepts as well as present challenges and work directions in internet marketing.

• Journal of Information Processing Systems
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• v.18 no.2
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• pp.245-257
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• 2022

In the Internet of Things (IoT) era, the types of devices used by one user are becoming more diverse and the number of devices is also increasing. However, a forensic investigator is restricted to exploit or collect all the user's devices; there are legal issues (e.g., privacy, jurisdiction) and technical issues (e.g., computing resources, the increase in storage capacity). Therefore, in the digital forensics field, it has been a challenge to acquire information that remains on the devices that could not be collected, by analyzing the seized devices. In this study, we focus on the fact that multiple devices share data through account synchronization of the online platform. We propose a novel way of identifying the user's interest through analyzing the remnants of targeted advertising which is provided based on the visited websites or search terms of logged-in users. We introduce a detailed methodology to pick out the targeted advertising from cache data and infer the user's interest using deep learning. In this process, an improved learning model considering the unique characteristics of advertisement is implemented. The experimental result demonstrates that the proposed method can effectively identify the user interest even though only one device is examined.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.4
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• pp.760-777
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• 2023

Fashion brands seek guidelines for effective green advertising messages, considering benefit appeals, brand types, and construal level. However, few studies have explored their simultaneous interplay. Thus, the present study conducted an experiment with a 2X2X2 between-subjects design to investigate how brand type and construal level moderate the mediating role of ad-brand congruency between benefit appeals and purchase intention. A total of 245 Millennials and Generation Z participants completed an online survey, and the data were analyzed using SPSS. A significant three-way interaction was revealed. Low-construal-level messages with concrete content showed disparities between aspirational and accessible brands concerning other-benefit appeals: Accessible brands utilizing other-benefit appeals demonstrated higher ad-brand congruency, while aspirational brands had lower ad-brand congruency. Furthermore, within aspirational brands, self-benefit appeals resulted in higher ad-brand congruency than other-benefit appeals. Finally, a moderated mediating effect was discovered, indicating that brand types and construal level moderated the mediating effect of ad-brand congruency between benefit appeals and purchase intention. The mediating effect was prominent in the context of self-benefit appeals, aspirational brands, and low-construal-level messages. This study highlights the intricate dynamics of the three factors in green advertising, providing valuable insights for crafting more targeted green advertisements.