• Culinary science and hospitality research
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• v.21 no.6
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• pp.167-181
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• 2015

The purpose of this study is to examine the effects of genuineness, usefulness, overstatement, and assentation of the smartphone majib app on trust, perceived risk, and use intention, and thereby suggest useful information for the mobile application. A survey was conducted from May 11, 2015 to June 30, 2015 targeting smartphone majib app users through convenience sampling. A total of 300 questionnaires were distributed, of which 275 were used for analysis after excluding 25 response for negligent or inappropriate responses. The results found that, first, of the review characteristics, genuineness and usefulness, assentation had positive (+) effects on trust, while overstatement had a negative (-) effect on trust. Second, of the review characteristics, only genuineness and usefulness had significant effects on perceived risk. Third, trust had a significant effect on use intention rather than on perceived risk. Fourth, trust and perceived risk had mediating effects on the relationship between the assentation of the majib smartphone app review characteristics and use intention.

• Journal of Fashion Business
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• v.18 no.5
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• pp.25-41
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• 2014

As the smart phone market grows rapidly, the significance of the application (app) market also increases. The purposes of this study were to identify market segments according to technological innovativeness and clothing involvement, and to compare the differences in lifestyles, benefits of fashion information app sought, and intention to use. The data were collected from smart phone users in their 10s to 30s in 2013, and a total of 292 data sets were analyzed. The findings of this study were as follows. The respondents were divided into three groups, innovative group, clothing involvement group, and passive group. Significant differences were found among three segments in terms of age, marital status, education level, and monthly income. With respect to five lifestyle factors, innovative group and clothing involvement group had higher mean scores for rational purchase, personal relationship, and personality pursuit than passive group. However, these two groups showed differences in brand pursuit factor. The benefits of the fashion information app were generated into two factors, information benefit and enjoyment benefit. Innovative group and clothing involvement group had higher values than passive group in these two factors. Finally, innovative group had the highest value on the intention to use fashion information app. This study attempts to provide fundamental information about the potential market segment for managers or marketers developing fashion information apps.

• Journal of the HCI Society of Korea
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• v.10 no.1
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• pp.19-27
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• 2015

As the mobile content industry is growing, mobile health (m-health) market is expanding based on various contents. It has developed in the way of utilizing health contents through mobile device such as smart phone among young people. This study aims to examine the usage of m-health application and factors of continuous usage among students in Seoul National University. The result is expected to provide a foundation for future health promotion programs utilizing m-health. The study analyzes the difference of application usage tendency based on demographic characteristic and the continuous usage, and compared the level of knowledge, attitude, belief, and practice (KABP) of mobile health application. 28% of the total sample population uses the application continuously, and their KABP level was higher than that of users that stopped using. This study goes beyond the previous studies of service satisfaction and acceptance analysis on the marketing level, and is meaningful in that it has analyzed the m-health application usage from the public health point of view.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.161-168
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• 2019

The purpose of this study analyze consumer usage characteristics and product development guide of electronic pen based on TAM theory(Davies, 1989). Research methods apply contents analysis(qualitative research) and Activity/Inactivity analysis of main consumer participation. Research results are as follows. Active consumer indicated 30-49 age, male, office job and research fellow. And they suggested stable power supply system, App connected pen function extension, add the modified pen function, advanced data recognition of pen, advanced take note ability and stable grip feeling of pen, selected line width, synchronization improvement with other smart device and charging function. These result indicated the importance product improvement diffusion factor of early market to main market. The future research of electric pen focused on different product strategy between electric pen and smart device connected electric pen.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.416-434
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• 2022

This study, for learners using online and offline tools, understood the structural relationship of user experience of smart learning app on continuous use intention through the technology acceptance model, and classified the learning type characteristics. In addition, based on the experience of using the smart learning app, we explored ways to improve the design of the user experience design for learning tools and contents. For this purpose, the usage perception of 84 middle and high school students of the developed smart learning learning app was investigated after using it for 2 months, and the data were analyzed using the PLS structural equation technique. The main results of this study are as follows. First, system and content user experience had a significant effect on perceived usability and perceived ease of use, and the effect on continued use intention through attitude was significant. Second, there was a significant difference in the effect of system user experience on perceived usefulness in multi-group comparative analysis and gender group. In the preferred learning group, it was the path from perceived ease of use and perceived usefulness to attitude and intention to continue using that showed a significant path difference. Third, as a result of classifying the most commonly used learning types by the multidimensional scale method, the types separated into low dimensions were found to be four types: offline sync type, online sync type, ubiquitous learning type, and self-direct learning type.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.1
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• pp.45-55
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• 2018

Recently, because the arrival of the fourth industrial revolution era, many information and telecommunication services have grown rapidly in the mobile business market. So, companies are based Mobile Apps on user customized services and expanding their services. From the standpoint of the business, to generate revenue, the company needs to maintain the existing current computer environment and develop Mobile Apps to offer convenience in various areas such as finance, admiration, e-commerce and sales support. However, as the number of users increase due to expansion of various Mobile services, security threats that are related to Mobile Apps are increasing and its damage is also increasing. Due to the rapid technological transformation of Mobile devices using the Internet, the level of security threats to Smartphones are rising and getting more advance, so this thesis is structured as follows. In Chapter 2, it will look at the overall trends of Mobile Apps as related research. In Chapter 3, it will discuss various security concerns that related to the latest Mobile Apps and learn about the threatening factors. In Chapter 4, it will compare and analyze the threatening factors. Then it will find and suggest the possible plan. In Chapter 5, it will end with conclusion. Finally, to protect mobile devices from security threats, the environment of operating system which manages the resources and data of Apps needs to be protected. Also, it is important that users to have awareness and check activation FinTech technology security in the process of simple payment with fingerprint or IC card.

• Journal of Internet Computing and Services
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• v.25 no.3
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• pp.43-54
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• 2024

This study employs text mining techniques to compare user responses across various Over-The-Top (OTT) service platforms. The primary objective of the research is to understand user satisfaction with OTT service platforms and contribute to the formulation of more effective review strategies. The key questions addressed in this study involve identifying prominent topics and keywords in user reviews of different OTT services and comprehending platform-specific user reactions. TF-IDF is utilized to extract significant words from positive and negative reviews, while BERTopic, an advanced topic modeling technique, is employed for a more nuanced and comprehensive analysis of intricate user reviews. The results from TF-IDF analysis reveal that positive app reviews exhibit a high frequency of content-related words, whereas negative reviews display a high frequency of words associated with potential issues during app usage. Through the utilization of BERTopic, we were able to extract keywords related to content diversity, app performance components, payment, and compatibility, by associating them with content attributes. This enabled us to verify that the distinguishing attributes of the platforms vary among themselves. The findings of this study offer significant insights into user behavior and preferences, which OTT service providers can leverage to improve user experience and satisfaction. We also anticipate that researchers exploring deep learning models will find our study results valuable for conducting analyses on user review text data.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.7
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• pp.1386-1392
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• 2017

With the active usage of digital media, the importance of and the interest in User Interface (UI)/User Experience (UX) have been increasing. This study proposes the development of design evaluation model to utilize the quality analysis model as a basis if there were to be a development of mobile education application. Main factors of the design evaluation model, which is based on User Value analysis, influence users' attitudes and intentions in continuing their uses of a mobile education application. The employment of the design evaluation factors onto the existing agile method's development stage, therefore, would provide an optimal UX environment for the application. This application not only will increase the satisfactions of consumers, but also will have positive impacts on their intentions in continuing their uses of a mobile education application.

• KIPS Transactions on Computer and Communication Systems
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• v.5 no.7
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• pp.173-180
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• 2016

Since smartphones possess a variety of user information, we can derive useful data related to the case from app data analysis in the digital forensic perspective. However, it requires an appropriate forensic measure as smartphone has the property of high mobility and high possibility of data loss, forgery, and modulation. Especially the forged/modulated time-stamp impairs the credibility of digital proof and results in the perplexity during the timeline analysis. This paper provides traces of usage which could investigate whether the time-stamp has been forged/modulated or not within the range of iOS based devices.

• Journal of Information Technology Services
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• v.21 no.5
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• pp.15-28
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• 2022

Recently, government agencies are actively adopting the platform model as a means of public policy. However, existing studies on the public platform are minimal and have focused on user experiences or the possibility of public usage of the platform model. Now the research concerning building governance structure and utilizing network effects of the platform after adopting the platform model in the public sector is keenly required. This study intended to ignite academic dialogue on the governance of public platforms in the context of digital transformation. This study focused on a case of the 'Special delivery,' a public delivery app established by Gyeonggi-do. In order to analyze the characteristics of the public platform and its governance structure, data were collected from press releases, policy reports, and news articles. Data was analyzed using the frame of Hagui's platform design factors and Ansell & Gash's collaborative governance model. The results of the public platform analyses showed 1) incompleteness in the value trade-off accounting, which was designed for platform business based on general cost-benefit analysis, and 2) a closed governance structure that limits direct participation of diverse user groups(i.e., service provider, customer) in order to enhance providers' utility by preventing customers' excessive online activities. The results of this study provided theoretical and policy implications regarding designing the strategy for accounting for value trade-offs and functioning governance structure for public platforms.