• Journal of Korean Elementary Science Education
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• v.39 no.4
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• pp.522-532
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• 2020

The aims of this study were to do a survey on teachers' perception and operational state for elementary science online remote classes and suggest ways to improve the elementary science online remote classes. The survey was based on responses from 100 teachers who have taught elementary science online remote classes for the first semester of 2020 for COVID-19. The questionnaire used in this study consisted of four parts: general informations of participants, the operation status of elementary science online remote classes, teachers' perceptions on the operation of elementary science online remote classes, ways to improve elementary science online remote classes. As a result of this study, elementary teachers taught elementary science online remote classes on the main use of content utilization type. And they had a difficulty in conducting elementary science online remote classes because of lack of contents, absence of elementary science online remote classes teaching methods, learner management and heavy workload. Therefore, to improve elementary science online remote classes the Ministry of Education and regional offices of education have to develop and provide high-quality contents reflect the characteristics of elementary science subjects, introduce a rent-an-experiment equipment system, and build a science class platform providing frequent real-time interaction between teacher and student.

• Journal of Korean Society for Quality Management
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• v.50 no.3
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• pp.571-591
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• 2022

Purpose: The purpose of this study is to examine the factors affecting the intention to use online collaboration tools for non-face-to-face educational environment in the perspective of the learners. Methods: For empirical analysis, the survey of this study was administered with data that were limited to experienced learners using online collaboration tools such as Google Docs, Allo, Padlet, and Slido in online education environments such as Zoom, Webex, MS Teams, etc. and valid 400 data were analyzed by SPSS(ver 22.0) and R(ver 4.1.0) program package. Results: The results of empirical analysis showed that performance expectancy were found to have an effect on reliability of system quality, empathy of service quality, playfulness and informativity of content quality among the characteristics of online collaboration tools. On the other hand, it was found that the security of system quality, responsiveness of service quality, and extroversion of user personality characteristics did not affect. It was analyzed that playfulness had the greatest positive effect, followed by informativity, empathy, and reliability. Among the characteristics of online collaboration tools, it was found that the reliability and security of system quality and informativity of content quality had an effect on the effort expectancy. It was analyzed that informativity has the greatest influence, followed by security and reliability. Conclusion: This study is meaningful in that it examines the perspectives of users and learners, who can be said to be the end customers of online collaboration tools. Based on the results of this study, it is expected that not only platform operators that provide online collaborative tools, but also providers that use online collaboration tools will have a significant impact on the development of edutech and infrastructure in the educational environment.

• 한국IT서비스학회:학술대회논문집
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• 2008.11a
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• pp.175-178
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• 2008

With rapid advancement of IT and Internet technologies, online market is surely becoming a stage of the competition among various forms of platform providers. This study show the significance of the negotiation process in the platform pricing strategy and observe several external/internal factors that might affect the negotiation power of the identities surrounding the platform. Major theories used in this study are the resource-based-view and network theory. Resources resulting in a negotiation power of the content providers and platform providers turn out to be widely scattered in their business areas - from product characteristics to the size of the content provider. End-user (or buyer) group which cannot make a strategic move for the organized development and use of resources is taking advantage of network externalities to support its negotiation power.

• 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.

• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.4
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• pp.685-702
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• 2021

This study aims to discover how the perceived attributes of luxury fashion platforms affect consumer trust and satisfaction as well as online word-of-mouth intention. Based on a literature review, this study derived four dimensions of perceived attributes: brand assortment size, exclusivity, convenience, and personalization. The paper presents findings from an online survey targeting 359 consumers in their 20s to 30s who had recent experience with luxury fashion platforms. Based on the collected data, a structural model equation analysis was performed using AMOS 22.0 and SPSS 26.0. The findings illustrated that brand assortment size, exclusivity, and personalization had positive effects on consumers' platform trust. In addition, brand assortment size and convenience had a positive impact on satisfaction. Overall, the findings of the study illustrate that perceived attributes of luxury fashion platforms have a significant impact on consumers' platform trust and satisfaction and online word-of-mouth intentions. This study reveals that consumers' trend orientation moderates the effects of consumer attitude and behavioral intention. The academic practice of this study has laid the foundation for understanding mechanisms of marketing strategies by providing the characteristics of platforms in the luxury fashion industry.

• Journal of Korean Institute of Industrial Engineers
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• v.42 no.2
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• pp.138-150
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• 2016

This study aims to analyze the structure and characteristics of the domestic online game industry using network analysis. In particular, two-mode network analysis is employed to measure the network structure, centrality, and cluster for two types of online game platforms, online games and mobile games, from 1996 to 2014. We also conduct a dynamic analysis to capture the structural changes in the ecosystem by internal and external environmental changes before and after turning point for each online game platform. It is revealed that the online game econsystem has the higher number of clusters and higher concentration ratio than those of mobile game ecosystem. In dynamic analysis, both platforms exhibit similar trends over time with the increasing number of clusters, enlargement of largest cluster's size, and decreasing concentration ratio. This study is expected to provide fruitful implications for strategic decision making of online game companies and policy making for the online game industry.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.2
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• pp.112-117
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• 2023

This study aims to find out what tourists' interests and perceptions are like through online big data. Big data for a total of five years from 2018 to 2022 were collected using the Textom program. Sentiment analysis was performed with the collected data. Sentiment analysis expresses the necessity and emotions of city tours in online reviews written by tourists using city tours. The purpose of this study is to extract and analyze keywords representing satisfaction. The sentiment analysis program provided by the big data analysis platform "TEXTOM" was used to study positives and negatives based on sentiment analysis of tourists' online reviews. Sentiment analysis was conducted by collecting reviews related to the city tour. The degree of positive and negative emotions for the city tour was investigated and what emotional words were analyzed for each item. As a result of big data sentiment analysis to examine the emotions and sentiments of tourists about the city tour, 93.8% positive and 6.2% negative, indicating that more than half of the tourists are positively aware. This paper collects tourists' opinions based on the analyzed sentiment analysis, understands the quality characteristics of city tours based on the analysis using the collected data, and sentiment analysis provides important information to the city tour platform for each region.

• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.5
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• pp.741-757
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• 2021

In addition to direct sales to consumers, the direct-to-consumers (D2C) strategy, which provides specialized experiences and services, communicates closely with a consumer's perspective. This tendency is related to the recent trend wherein the luxury fashion system is being transformed into a new luxury. Therefore, this study analyzes the development of online D2C platforms and investigates the characteristics of new luxury from the functional, symbolic, and experiential dimension perspectives based on mobile apps, which is becoming increasingly important among online D2C platforms. Based on the study results, the premium of new luxury fashion displayed in Louis Vuitton's mobile D2C platform in terms of product utility and functionality is newly defined as a usable luxury experience. Moreover, from the heritage perspective, based on the cultural sympathy of the brand contents, we determine that an attachment can be formed between new luxury fashion consumers and brands. Additionally, the personalization service and experiential content on the D2C platform can directly afford emotional and bonding induced brand immersion in a playful way.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.138-154
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• 2021

'Live commerce', a brand new format of online shopping, is actively promoted in China recently. This research focused on 'Taobao-live', China's largest live commerce platform to investigate the relationships among para-social interaction, source characteristics (e.g., trustworthiness, attractiveness, and expertise), perceived ease of use, perceived usefulness, and shopping intention based on Technology Acceptance Model. A total of 536 Taobao live users were recruited through the Chinese research platform. The results showed that para-social interactivity positively affected perceived ease of use and usefulness, whereas the source characteristics had no significant effect on consumers' perceptions. Furthermore, higher perceived ease of use generated higher perceived usefulness, and both perceived ease of use and usefulness positively influenced consumers' intention to shop through Taobao live. This research can provide theoretical background for understanding the potential of live commerce platforms and help brands come up with effective online shopping strategies using live commerce platforms.

• Journal of Distribution Science
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• v.21 no.2
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• pp.119-129
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• 2023

Purpose: This study intended to examine the effects of the characteristics of platforms for purchasing airline tickets on perceived ease of use, usefulness, and e-loyalty, applying the technology acceptance model. Research design, data and methodology: A research model was established based on previous studies, and data were collected from consumers with experience in the airline ticket purchasing platform. 175 valid samples were used and analyzed using SEM. Results: Characteristics of the ticket purchase platform were classified into sub-factors of accessibility, functionality and information reliability through theoretical consideration. The established hypotheses for the research were partially accepted. Conclusions: First, functionality and information reliability were found to have significant positive effects on perceived ease of use, while accessibility did not have such effect. Second, accessibility did not affect the perceived usefulness, and both functionality and information reliability had a significant positive effect on perceived usefulness. Third, it was found that the perceived ease of use had a positive effect on perceived usefulness. Finally, it was found that perceived ease of use did not affect e-loyalty of the ticket purchasing platform, only perceived usefulness affected e-loyalty. This study had important academic and practical implications in the context of air ticket distribution.