• International Journal of Internet, Broadcasting and Communication
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• v.14 no.3
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• pp.85-90
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• 2022

In this study, keywords from representative online portal sites such as NAVER, Google, and Youtube were collected based on text mining analysis technique using TEXTOM to check the changes in the restaurant industry before and after COVID-19. The collection keywords were selected as dining out, food service industry, and dining out culture. For the collected data, the top 30 words were derived, respectively, through the refinement process. In addition, comparative analysis was conducted by defining data from 2018 to 2019 before COVID-19, and from 2020 to 2021 after COVID-19. As a result, 8272 keywords before COVID-19 and 9654 keywords after COVID-19, a total of 17926 keywords, were derived. In order for the food service industry to develop after the COVID-19 pandemic, it is necessary to commercialize the recipes of restaurants to revitalize the distribution of home-use food products that replace home-cooked meals such as meal kits. Due to the social distancing caused by COVID-19, the dining out culture has changed and the trend has changed, and it has been confirmed that the consumption culture has changed to eating and delivering at home more safely than visiting restaurants. In addition, it has been confirmed that the consumption culture of existing consumers is changing to a trend of cooking at home rather than visiting restaurants.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.4
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• pp.85-91
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• 2023

In order to utilize KOSMOS, the performance evaluation results are presented in this paper with CloudSuite, an application service-based benchmark program in the cloud computing area. CloudSuite offers several distinct applications as cloud services in two parts: offline applications and online applications on containers. In comparison with other microservers which have similar hardware specifications of KOSMOS, it was observed that KOSMOS was superior in all CloudSuite benchmark applications. KOSMOS also showed higher performance than Intel Xeon CPU-based servers in an offline application. KOSMOS reduced completion time during executing Graph Analytics by 30.3% and 72.3% compared to two Intel Xeon CPU-based servers in an experimental configuration of multiple nodes in KOSMOS.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.5
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• pp.1-8
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• 2023

Cross-domain recommendation is a method that shares related user information data and item data in different domains. It is mainly used in online shopping malls with many users or multimedia service contents, such as YouTube or Netflix. Through K-means clustering, embeddings are created by performing clustering based on user data and ratings. After learning the result through a transformer network, user satisfaction is predicted. Then, items suitable for the user are recommended using a transformer-based recommendation model. Through this study, it was shown through experiments that recommendations can predict cold-start problems at a lesser time cost and increase user satisfaction.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.1-10
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• 2024

The current study examined the causal relations among sustainable luxury campaigns' message framing types (negative vs. positive), sustainable brand image and perceived consumer effectiveness. The study tested the moderation of perceived brand luxury about the message framing types, sustainable brand image, and perceived consumer effectiveness. An online survey adopting luxury product is conducted with a total of 194 Korean consumers, testing the hypotheses. In the results, the message framing type is found to significantly affect perceived consumer effectiveness but not sustainable brand image. Perceived brand luxury significantly negatively moderates the relationship between the message framing type and perceived consumer effectiveness but not between the type and sustainable brand image. The results supported the positive influence of perceived consumer effectiveness on sustainable brand image. The moderation of perceived brand luxury was confirmed only for the relationship between the message framing type and perceived consumer effectiveness. The results empirically confirm that the message frame of luxury marketing could positively affect consumers' attitude formation, such as perceived consumer effectiveness, which is consistent with previous studies' research results. The results document that luxury brands using a negative message frame type had a more significant effect on perceived consumer effectiveness than the positive frame type. The findings contribute to the literature of new media-based sustainable marketing of luxury products as to how it affects consumers' brand evaluation and purchase intention, focusing on the causal relationships among the message-framing type of sustainable luxury marketing, sustainable brand image, and perceived consumer effectiveness. Given the increasing pursuit of sustainability in the luxury industry, the results contribute to deriving implications for sustainable marketing of efficient luxury brands.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.226-232
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• 2024

This study attempted to demonstrate the role of perceived value and trust in the relationship between mobile banking service quality and use satisfaction. A survey was conducted on customers of Mongolian banks, and an analysis was conducted based on the collected data With the development of the fintech industry, the Internet-based mobile banking market is striving to provide convenient services to consumers. The result led to the introduction of an online-oriented Internet bank that can operate 24 hours a day regardless of time and space. The characteristic of operating only with the Internet has a positive aspect of providing services quickly and conveniently, but at the same time, including concerns about security and personal information leakage. This can make you hesitate to use the service. Therefore, we attempted to find out how the quality of mobile banking service affects the perceived value and satisfaction of using trust. A survey was conducted to verify the contents of the research model and hypothesis. This is to secure data to be used for empirical analysis of research hypotheses. The survey was conducted with 124 consumers in Ulaanbaatar, the capital of Mongolia. Based on the analysis results, we understood the satisfaction of consumers using mobile banking and suggested ways for consumers to improve their actual satisfaction using mobile banking. Specifically, service quality sensitivity, security, convenience, and design had a positive effect on perceived value or trust, ultimately leading to consumer satisfaction.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.346-354
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• 2024

Time-limited promotions have become a popular strategy across various product categories including fashion mobile platforms. While consumer feel content and satisfied when they get this , those who miss the opportunity may develop negative feelings and tend to give up on additional price discounts. This phenomenon, known as inaction inertia, has been a crucial subject of consumer behavior research. However, the underlying mechanism within the context of fashion consumption has yet to be discussed. This study investigated whether consumers show inaction inertia when purchasing fashion products and whether involvement moderates product purchases in inaction inertia situations. Hypotheses were tested through an online survey with 336 Korean participants based on fictitious purchase scenarios. In the results, the hypothesized negative influence of inaction inertia on purchase intention for fashion products was statistically confirmed. Furthermore, the hypothesized moderation effect of involvement in the mechanism was confirmed - only within the high (vs. low) age group. To explain, the negative effect of inaction inertia significantly decreases among older consumers of high (vs. low) involvement levels. We contributed to the related academic flow by performing an experimental study on inaction inertia, which had relatively little empirical research compared to the influence confirmed in practice so far. We also provided a novel idea by demonstrating that the moderating effect of product involvement differs depending on the age group.

• Journal of Information Technology Applications and Management
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• v.18 no.2
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• pp.1-21
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• 2011

In this era of convergence, which is characterized by the integration and combination of technology and industries, broadcasting and communications, offline and online, and devices and services, the content industry is also experiencing rapid changes including inter-genre exchange, the creation of new industries, and customized demand. Specifically, IT-based digital content industries such as the online game, e-book, mobile contents and web portal industries are no longer restricted to the boundaries of video, music and games but are being expanded into the realms of education, medicine, fashion and sports thanks to CT innovation of 3D, CG, AR/VR, VFX, etc. As such, various countries have come to recognize the convergent content industry as a new growth engine that will pick up where the IT industry left off, and are forming policies for its development accordingly. This research aims to optimize the system of content taxonomy which is currently genre-focused and unable to support technological development and convergence, and to discover and select star contents to be rigorously developed with governmental support. In this paper, 20 star contents in 8 areas were selected, and these are expected to create tremendous cultural and economic value through ongoing technological and industrial development.

• Journal of Broadcast Engineering
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• v.16 no.4
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• pp.614-623
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• 2011

We propose a real-time tracking algorithm for an augmented reality (AR) system for TV broadcasting. The tracking is initialized by detecting the object with the SURF algorithm. A multi-scale approach is used for the stable real-time camera tracking. Normalized cross correlation (NCC) is used to find the patch correspondences, to cope with the unknown and changing lighting condition. Since a zooming camera is used, the focal length should be estimated online. Experimental results show that the focal length of the camera is properly estimated with the proposed online calibration procedure.

• 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.

• International journal of advanced smart convergence
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• v.11 no.2
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• pp.95-101
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• 2022

The development of the 4th industry has increased social media, and the rise of COVID-19 has stimulated non-face-to-face services. People's consumption patterns are also changing a lot due to non-face-to-face services. In this paper, food content keywords are derived through social network-based semantic network analysis, emotions are analyzed, and keywords applied to food recommendation platforms are input. We collected food, influencer, and corona keyword analysis data through Textom. A lot of research has been done through online reviews of existing influencer content. However, there is a lack of research on keyword sentiment analysis provided by influencers rather than consumers and research perspectives. This paper uploads language and topics derived through online reviews of existing publications and subscribers, and goes beyond the limits used in marketing methods. By analyzing keywords that influencers suggest when uploading content, you can apply data that applies them to food recommendation platforms and applications.