• Asia Marketing Journal
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• v.11 no.2
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• pp.53-72
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• 2009

In the summer of 2008, the movie Dachimawa Lee: Villain, Get on the Express to Hell is waiting for its first release. This movie is based on a short film which was tremendously popular when it was first introduced on the internet in 2000, and the director Ryu Seung Wahn is expecting a mega hit of the movie this summer. Showbox is one of the leading movie distributors in Korea. After a series of blockbuster hits such as Welcome to Dongmakgol, The Host, and The Chaser, Showbox is now in stagnation. Along with sluggish economy in Korea, most of recent movies distributed by them didn't even reach the breakeven. However, expectation on the upcoming movie, Dachimawa Lee, is higher than ever. Marketing department of Showbox has to decide what kind of media channel to choose and which marketing strategy to apply. It needs to make a decision about whether to target the so-called mania group or the general public of much bigger size. In this case study, the distinctiveness of the movie marketing and its process will be discussed. Moreover, the marketing strategies for Dachimawa Lee's success will be examined in the Showbox's point of view.

• Journal of Digital Convergence
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• v.9 no.1
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• pp.1-12
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• 2011

The power of the internet community as a social network exerts great influence on all areas of our society not only on knowledge creation and knowledge sharing but also on politics, economy, and culture. This study aims to investigate how the diffusion process of information evolves on the internet in the new environment. The focus of the study is particularly on aspects of using information and the process of information production and the types and methods of online communities. It is the goal of the study to clarify aspects of the online community as an important mediator among universal means of communication in our society. Ways of social communication are changing rapidly and thus the reasoning for this change is very important policy issues to form a social consensus.

• Management Science and Financial Engineering
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• v.13 no.1
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• pp.55-72
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• 2007

We consider the product differentiation model of online channel competition and examine the strategies of hybrid firms in terms of efficiency. After measuring the social cost of online business strategies, we show that (i) online channel of hybrid firm under blockaded entry may increase the social cost if the firms' delivery cost is sufficiently smaller than the consumer's transportation cost, and (ii) online competition under free entry may increase the social cost if the firms' delivery cost is sufficiently larger than the consumer's transportation cost. Finally, we discuss the strategic incentive of hybrid firms to reduce delivery cost and investigate the effect of the Internet maturity on the social cost.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.10a
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• pp.251-259
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• 1999

In the literature, the general framework of competitive forces has been used extensively to analyze industries in the traditional economy. More specifically, the model has been used to develop strategies for companies in various sectors. The general model can also be used to analyze the use of information technology to enhance competitive advantage. This paper extends the conceptual model to the Internet environment. For concreteness, the concepts are examined in the context of the health care industry. In addition, a comparative analysis is performed to examine the similarities and differences in providing merchandise or services in cyberspace.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.1
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• pp.23-32
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• 2023

Since NFTs can be used like certificates due to the nature of blockchain, their use in various digital asset trading markets is expanding. This is because NFTs are expected to be actively used as a core technology of the metaverse virtual economy as non-transferable NFTs are developed. However, concerns about NFT security threats are also growing. Therefore, the purpose of this study is to investigate and analyze NFT-related infringement cases and to clearly understand the current security status and risks. As a research method, we determined NFT security areas based on previous studies and analyzed infringement cases and threat types for each area. The analysis results were systematically mapped in the form of domain, case, and threat, and the meaning of the comprehensive results was presented. As a result of the research, we want to help researchers clearly understand the current state of NFT security and seek the right research direction.

• Asia pacific journal of information systems
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• v.11 no.2
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• pp.23-55
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• 2001

It is generally agreed that realizing the full potential of the internet shopping mall(ISM) requires careful identification of customer needs and expectations. However, a quantitative framework to explain and predict users' behavior toward ISM has not been well established because the research on the user acceptance of ISM is still in its infancy. This study proposes a model which uses factor analysis to identify factors of ISM characteristics and individual characteristics affecting user acceptance of ISM. Predictive models based on the multiple regression analyses select the factors and their interactions with individual characteristics that significantly influence user acceptance. Results show that five factors including economy, convenience, credibility, reliability, information risks, and performance risks affects user acceptance. In addition, individual differences in terms of innovativeness, playfulness, and recreational shopping traits have both direct and interaction effects on user acceptance. The implication of this study is that, although user attitudes towards ISM characteristics in general are important to their acceptance behavior, the level of importance depends upon different user groups.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.224-230
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• 2021

YouTube is an OTT service that leads the home economy, which has emerged from the 2020 Corona Pandemic. With the growth of OTT-based individual media, creators are required to establish attractive storytelling strategies that can be preferred by viewers and elected for YouTube recommendation algorithms. In this study, we conducted a study on modeling that proposes a content storyline for creators. As the ability for Creators to create content that viewers prefer, we have presented the data literacy ability to find patterns in complex and massive data. We also studied the importance of compelling storytelling configurations that viewers prefer and can be selected for YouTube recommendation algorithms. This study is of great significance in that it deviated from the viewer-oriented recommendation system method and proposed a story suggestion model for individual creaters. As a result of incorporating this story proposal model into the production of the YouTube channel Tiger Love video, it showed a certain effectiveness. This story suggestion model is a machine learning text-based story suggestion system, excluding the application of photography or video.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.2
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• pp.112-118
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• 2024

We Design The problem of underdeveloped areas is emerging as a social problem. Industrialization drove the population to the cities, creating underdeveloped areas. Underdeveloped areas are causing social problems such as population decline and aging. It is necessary to study the continuous tourism development of underdeveloped areas through development and improvement projects. Using social media big data to investigate keywords in underdeveloped areas and see the connection between keywords. The purpose of this study was to conduct core research divided by type and to investigate the keywords of tourism in underdeveloped areas through concor analysis of underdeveloped areas. As a result of the study, keywords were connected for each type of redevelopment, regional development, regional economy, and underdeveloped areas. Through this, the keywords for sustainable tourism in underdeveloped areas were identified. It is hoped that this study will develop sustainable tourism for the keywords of underdeveloped areas.

• Proceedings of the IEEK Conference
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• 2002.06c
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• pp.131-134
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• 2002

As the increased use of computer, wired/wireless/mobile Internet, security in using Internet becomes a more important problem. Thus, biometric technology using physical and behavior characteristics of a person is hot issue. Many different types of biometric technologies of a person such as fingerprint, face, iris, vein, DNA, brain wave, palm, voice, dynamic signature, etc. had already been studied but remained unsuccessful because they do not meet social demands. However, recently many of these technologies have been actively revived and researchers have developed new products on various commercial fields. Dynamic signature verification technology is to verify the signer by calculating his writing manner, speed, angle, and the number of strokes, order, the down/up/movement of pen when the signer input his signature with an electronic pen for his authentication. Then signature verification system collects mentioned above various feature information and compares it with the original one and simultaneously analyzes to decide whether signature is forgery or true. The prospect of signature verification technology is very promising and its use will be wide spread in terms of economy, security, practicality, stability and convenience.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.379-387
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• 2024

Agriculture has always been the foundation of Vietnam's economy, accounting for a significant portion of GDP. However, like many traditional industries, Vietnamese agriculture faces many challenges, from inefficient supply chains to unpredictable weather developments. In recent years, Vietnam's agricultural sector has been looking for ways to improve productivity and efficiency by applying modern technology. Among these technologies, artificial intelligence (AI) has emerged as a potential solution to address the challenges farmers and other stakeholders face in the agricultural supply chain. AI can analyze large amounts of data, optimize resource allocation, and predict market trends, which can significantly improve decision-making in agriculture. However, despite the promising prospects of AI in agriculture, there are still challenges to the widespread application of AI in Vietnam. These include the need for more awareness, technical expertise, and Infrastructure to support AI implementation. In this study, we analyze the current state of AI applications in Vietnam's agricultural supply chain, identify key challenges, and propose strategies to facilitate the integration of AI technology in agriculture supply chains in Vietnam in the digital age.