• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.437-443
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• 2023

We investigates MICE participants's evaluation on the application of smart tourism technology by comparing their importance and performance. Date were collected from MICE participants who had attended in hybrid MICE in recent five years, The three dimensions of smart tourism technology were event management, extension of contents, and community. We found that event management and community affected on overall satisfaction of MICE participants. The result of paired t-test revealed that there were significant differences in audience interaction, webinar, virtual showcase, communication by social hub, virtual marketplace, and matchmaking The importance-performance matrix also indicated that matchmaking, virtual marketplace, audience interaction, communication by social hub, and webinar were major weakness and should be improved in the future.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.221-237
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• 2023

This study was conducted as part of a phased study aimed at closely examining the mutual ecosystem between creators and viewers through paying attention to the personal media environment that is in the center of rapid changes in the media industry and particularly exploring the areas of activity of the single-person or minority media creators who lead the mobile media environment that could be accessed, viewed and produced anywhere. In particular, this study aimed to not only pay attention to the situation in which the potential to expand professional YouTuber areas encounters the changing desire and demand of content service users who continue to become more evolved as time passes, but also examine the influence of the reputation of professional YouTubers on users' loyalty and subscription intention, examine the moderating effect of sincerity on the relationship between YouTubers and users, and demonstrate such relationship formation process based on concrete data. In the conclusion section, implications that can be drawn from the study results and suggestions for further studies in the future were proposed.

• Journal of the Korean Society for information Management
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• v.40 no.4
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• pp.33-51
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• 2023

The main objective of this study is to explore the forward-looking role of a National Hangeul Museum Library that can actively respond to changes in the era and to propose development strategies for this purpose. To achieve this, the current functions, resources, materials, online and offline services, and the library's website were thoroughly analyzed. We conducted research on the operational status and best practices of libraries within museums, art galleries, and advanced libraries both domestically and internationally. Ultimately, we aimed to establish medium to long-term development strategies for the Korean library and derive step-by-step detailed implementation plans. The results of this study can serve as foundational data to help the National Hangeul Museum Library effectively fulfill its central role as a library related to the Korean language and culture.

• Information Systems Review
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• v.25 no.4
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• pp.67-87
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• 2023

Many online shopping sites now offer personalized recommendation systems to improve consumers' shopping experiences by lowering costs (time, cost, etc.), catering to consumers' tastes, and stimulating consumers' potential shopping needs. So far, domestic and foreign research on the personalized recommendation system has mainly focused on the field of computer science, which is advantageous for obtaining accurate personalized recommendation results for users but difficult to continuously track the users' psychological states or behavioral intentions. This study attempted to investigate the effect of the characteristics of the personalized recommendation system in the online shopping environment on consumer perception and purchase intention for consumers using the Stimulus-Organism-Response (S-O-R) model. The analysis results adopted all hypotheses on the effect of the quality of the personalized recommendation system and information quality on trust and perceived value. Through the empirical results of this study, the factors influencing consumers' use of personalized recommendation system can be identified. In order to increase more purchase, online shopping companies need to understand consumers' tastes and improve the quality of the personalized system by improving the recommendation algorithm thus to provide more information about products.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.23 no.1
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• pp.97-111
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• 2024

Developing countries and small local governments face financial constraints, limiting the adoption of their own bus information systems. However, despite poor social infrastructure and low income levels, developing countries have a high smartphone penetration rate, and the distribution and usage of online content and social media are widespread. Smartphones, equipped with GPS sensors, cameras, and other location-based information collection capabilities, can replace expensive on-site terminals. This study aims to replace expensive on-site terminals with smartphones, develop a center system based on cloud servers, and establish an extensible Open BIS (Bus Information System) service and platform that can be applied anywhere. The goal is to formulate a business model in the process.

• Information Systems Review
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• v.22 no.1
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• pp.91-111
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• 2020

E-book markets are currently moving through a period of disequilibrium as new pricing structures (i.e., flat-fee subscriptions) are rapidly embraced by major vendors. On the basis of a novel dataset, we investigate how the availability of "all-you-can-read" pricing programs influences consumers' tariff choice and contract renewal behaviors. Consistent with the rational choice framework, the findings suggest that most e-book consumers significantly gain from subscription-based tariffs. Power readers prefer flat-fee subscriptions, and those that have economically benefited renew their subscription. However, we also find some other intriguing results. Among the three subscription designs examined, the 1-week plan affords consumers more economic benefits than do 1-day or 1-month programs. Finally, iOS users are more inclined to select subscription models than are Android users because of the absence of in-app purchase functionalities for the former. The unavailability of in-app purchase affects tariff choices and transaction patterns as it increases transaction costs.

• Information Systems Review
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• v.25 no.3
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• pp.121-138
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• 2023

The advancement in mobile technology brought disruptive innovation in media industry. The introduction of mobile devices broke spatial and temporal restrictions in media consumption. This study investigates the impact of mobile channel adoption on video viewing behavior, using real-world dataset obtained from a particular on-demand service provider in South Korea. We find that the adoption of a mobile channel significantly increases the total viewing time of video-on-demand via TV and the number of contents viewed. Our results suggest that the mobile channels act as a complement channel to conventional TV channels. We provide theoretical and practical insights on consumer usage in the emerging over-the-top market.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.47-63
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• 2024

The purpose of this study was to be arranged as part of the phased study to examine a mutual ecosystem between creators and viewers by being interested in individual media environments which have led big changes as a tool of the new concept for obtaining information as well as aspects of information acquisition and availability and exploring activity areas of a minority of media creators. Especially, the purpose is to take note of desires and demands of users of YouTube travel content services which have rapidly grown due to a pike in recent users' interest, examine a study on a relationship among perception of information attributes of Youtube travel content, information satisfaction, and behavior intention and the vividness' moderating effects to form in their relationships, and prove the process to form these relationships through specific data. In conclusion, implications which can be inferred based on the results of the study and suggestions for further studies of the future were presented.

• The Journal of the Convergence on Culture Technology
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• v.10 no.5
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• pp.673-679
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• 2024

Recently, various contents set in the Josun Dynasty have emerged. However, there is a growing number of hanboks that do not preserve the basic original form of hanbok, such as hanboks that deviate significantly from the form of hanboks. Therefore, in this study, a system was created and implemented in the game to express various colors and patterns of hanbok using the DALL-E API in this game by examining the basic hanbok form of hanbok through literature review. However, despite the fact that the results are inconsistent depending on the quality of the Generative AI service and the limitations of not passing through the historical evidence of traditional hanbok experts, it is meaningful to present a system that uses the creativity of users to create a design that can enhance the aesthetics of traditional hanbok. In future research, we want to investigate users' preferences and develop a system that can create an image that fits them when clicking the interface.

• Journal of the Korea Society of Computer and Information
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• v.29 no.10
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• pp.77-87
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• 2024

With the recent advancements in artificial intelligence, various chatbots have emerged, efficiently performing everyday tasks such as hotel bookings, news updates, and legal consultations. Particularly, generative chatbots like ChatGPT are expanding their applicability by generating original content in fields such as education, research, and the arts. However, the training of these AI chatbots requires large volumes of conversational text data, such as customer service records, which has led to privacy infringement cases domestically and internationally due to the use of unrefined data. This study proposes a methodology to quantitatively assess the re-identification risk of personal information contained in conversational text data used for training AI chatbots. To validate the proposed methodology, we conducted a case study using synthetic conversational data and carried out a survey with 220 external experts, confirming the significance of the proposed approach.