• Journal of Information Technology Applications and Management
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• v.21 no.4
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• pp.157-171
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• 2014

As electronic word of mouth plays an important role in purchase behavior among consumers, the number of studies on the impact of electronic word of mouth is rapidly increasing. Nevertheless, it is difficult to discover comparative studies on the mass media which had a great impact on consumer's purchase behavior before the impact of electronic word of mouth becomes greater versus the social media where electronic words of mouth are created and distributed. It is considered that it seems to be necessary to find an appropriate mutual supplement point between the media designed for a successful marketing by comparing and analyzing the existing mass media versus the social media, major media for electronic word of mouth. Therefore, this study aims to compare and analyze the impact of comments on movie revenue in the representative forms of mass media such as online news and social media blogs. In particular, this study also considers an appropriate media for promoting movies by period by comparing and analyzing the two media before and after film release. For analysis, this study collects the information on the number of comments on online news and blogs in 70 Korean movies released in 2011 and 2012 from five weeks before film release to eight weeks after film release on a daily basis via Naver. This study also collects the information on the movie revenue using the statistical data of movie industry from Korean Film Commission. As a result of empirical data analysis, it is found that the two media showed no difference in movie revenue before film release, but after film release, the impact of blogs was more significant than that of online news.

• Asian Journal for Public Opinion Research
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• v.8 no.3
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• pp.297-323
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• 2020

The relationship between compliance with behaviors recommended to prevent the spread of COVID-19 and media exposure, negative emotions, and risk perception was examined using regression analyses of data from KAMOS, a nationally representative survey of South Korean adults. The strongest predictor of preventive behaviors in general was negative emotions, which had the largest βh (.22) among the independent variables considered. The eight negative emotions, identified using factor analysis of a series of 11 emotions, were anger, annoyance, fear, sadness, anxiety, insomnia, helplessness, and stress. Negative emotions themselves were influenced most strongly by the respondent's anxiety over social safety (βe=.286), followed by prediction of COVID-10 spread (β=.121, p<.001) and perceived risk of COVID-19 infection (β=.70, p=.023). Females (β=-.134) and those who felt less healthy (βo=-.097) experienced more negative emotions. Media exposure and increased media exposure both have significant relationships with negative emotions and both a direct and indirect impact on the adoption of preventive measures. Women, older people, and healthier people perceived greater risks and engaged in more preventive behaviors than their counterparts.

• International Journal of Internet, Broadcasting and Communication
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• v.9 no.3
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• pp.59-69
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• 2017

The best 'hub' to communicate with the citizen is using social media to marketing the business. However, there has several issued and the most common issue that face in critical is a capital issue. This issue is always highlight because most of automatic sentiment detection tool for Facebook or any other social media price is expensive and they lack of technical skills in order to control the tool. Therefore, in directly they have some obstacle to get faster product's feedback from customers. Thus, the personal online retailing need to struggle to stay in market because they need to compete with successful online company such as G-market. Sentiment analysis also known as opinion mining. Aim of this research is develop the tool that allow user to automatic detect the sentiment comment on social media account. RAD model methodology is chosen since its have several phases could produce more activities and output. Soppy tool will be develop using Microsoft Visual. In order to generate an accurate sentiment detection, the functionality testing will be use to find the effectiveness of this Soppy tool. This proposed automated Soppy Tool would be able to provide a platform to measure the impact of the customer sentiment over the postings on their social media site. The results and findings from the impact measurement could then be use as a recommendation in the developing or reviewing to enhance the capability and the profit to their personal online retailing company.

• The Journal of Sustainable Design and Educational Environment Research
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• v.10 no.3
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• pp.17-26
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• 2011

National efforts responding to climate change is directly connected to competitiveness of the urban environment. Practice in the daily life of the individual citizens is prerequisite for the paradigm shift that can be made by the reduction of the city's energy consumption and low-carbon green growth. Therefore, the comprehensive understanding combined with the educational programs is required on the issue of the ecological environment and the urban environment competitiveness. In this paper, the meaning and role of urban ecological environment will be researched first. it also takes a look at the content of curriculum and analyses domestic policies related to environmental education of primary and middle schools. In addition, video documentary on urban ecological environment will be analyzed for the development of educational media dealing with environmental training in schools. Consequently, urban ecological environment shown in video media content will be identified and the advantage of this possibility as a medium of education is to be proposed.

• The Transactions of the Korea Information Processing Society
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• v.7 no.2S
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• pp.733-743
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• 2000

This paper describes design and implementation of a content manager in the Integrated Steaming Framework Architecture (ISSA) that is proposed by the authors. The ISSA can provide an environment to develop multimedia streaming applications under heterogeneous distributed systems. The goal of ISSA is to extend the limitations of existing streaming systems. It can support diverse media formats and high level programming environment for streaming application developers. Moreover, it is independent from underlying networks and operating systems, and compatible with the global real-time multimedia database system(BeeHive) so that streaming media is efficiently retrieved, stored, and serviced. The role of a content manager is important in the ISSA environment since it manages an information of media that are provided by the server, and allow users to access media more easily by means of conveying that information to the streaming server, Web server, and client efficiently. The proposed content manager is not only to meed these requirements, but also to provide streaming information to media source and transport manager in order to be an efficient streaming. Furthermore, it supports database transaction processing by using the database connector.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.1043-1053
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• 2021

The purpose of this research is to investigate the impacts of gen-Z's perception of consumer-generated content on social media on their travel intention with the mediating role of travel motivation push and pull. An online questionnaire survey of a total of 369 samples was conducted with the participation of gen Z in the most important cities across Vietnam. The model was analyzed using Structural Equation Modeling (SEM) using AMOS program 22 to investigate model relationships and all hypotheses are significant. The findings indicated that gen Z values the usefulness of social media and they use social media for knowledge-seeking (push factor), and this leads to their intention to visit a destination. SEM analysis also reveals that gen Z tends to use social media to find accessibility to any destinations and they are motivated highly with destinations that have clear and easy access, for example, no visa requirement or neighboring destinations. As the result, they have better intentions to visit these destinations. This research will help marketers, especially marketing specialists to gain a better understanding of gen Z, thus implement better marketing techniques to target gen Z.

• International journal of advanced smart convergence
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• v.13 no.3
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• pp.214-226
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• 2024

This study examines the impact of fashion brand collaborations in sandbox games on consumer purchase intentions, focusing on brand coolness and self-avatar identification. Through online surveys of U.S. consumers aged 20-40, it finds that aesthetics, scarcity, and familiarity contribute to brand coolness, with only aesthetics directly impacting purchase intentions. Emotional engagement, self-expression, and perceived enjoyment enhance brand coolness, with emotional engagement being the most influential, and all except perceived enjoyment positively affect purchase intentions. Brand coolness from collaborations positively impacts purchase intentions, indicating that positive consumer attitudes drive behavior. Self-avatar identification moderates the relationships between familiarity and brand coolness, self-expression, and purchase intentions, and moderates the mediating effect of brand coolness. The study underscores the importance of self-avatar identification in shaping consumer behavior and calls for further research in diverse industries and new marketing forms.

• 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.

• The Journal of the Korea Contents Association
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• v.17 no.3
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• pp.162-177
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• 2017

This study explores how the media covered the new media agenda in the process of the diffusion of new media and what the press's attitude about new media policy is according to the relationship between the press and the government based on the political tendency. For this, this study conducted network analysis. The agreement of political tendency between the press and the government is important variable to decide the attitude of the press about the new media policy. Under the conservative government, the conservative press supported the new media policy, however the opposite opposed it Even if opinion page can take an important role in the process of public opinion, the tone pf editorial page on the new media policy differs from its political tendency. It costs tremendous investment in introducing new media, journalists have judge.

• ETRI Journal
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• v.33 no.1
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• pp.110-120
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• 2011

As information technology rapidly develops and the period required to enter new technology shortens, there emerges a wide variety of alternatives for consumers. When there are many alternatives in the market, users choose after making comparisons. This process of making comparisons is our research key. We established a research model to find a mixed effect that comes from new attitudes to technology adoption and alternative's continuous usage intention. The effect is revealed through a relative attractiveness (RA) factor to explain a user's process of comparison. We empirically test our research model in the new media services, such as mobile TV, web TV, and mobile IPTV. According to our research results, a continuous usage intention of an existing technology is an important factor to explain the adoption of a new technology. So, the contribution of our research is in finding a role for the RA factor in research in new technology adoption.