• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.361-372
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• 2023

In this study, three luxury fashion start-up platforms, Balaan, Trenbe, and Must-it, were selected as research subjects. The purpose of this study is to compare and analyze the marketing mix strategies of each of the three online sites. The results of our study are as follows. First of all, the product strategies of the three luxury platform companies are characterized by the composition of products from high-end brands to SPA brands, and product composition such as kids, home living, Used goods and art in addition to women's and men's wear. In addition, the pricing strategies of luxury platforms show price differences depending on the luxury platform even for the same product. It is shown as a structure that directly determines margin. Therefore, in order to secure an edge in price competitiveness, each platform provided discount coupons and savings that are not available in offline stores such as department stores, providing opportunities to purchase luxury goods at a lower price than offline stores.Lastly, the sales promotion strategies of the three luxury platform companies was used include price discount promotions such as price discounts, discount coupons, and regular sales, and value-added sales such as membership registration/review points, events, product information, delivery services, social contribution activities, and SNS utilization.

• Smart Media Journal
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• v.11 no.6
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• pp.37-50
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• 2022

This proposes a direction to build and provide an exhibition space based on the metaverse platform so that artists can independently open their own exhibitions in an online environment. Although many artists are produced every year, offline exhibitions are becoming difficult due to not many art galleries, and offline exhibitions are becoming impossible due to Corona, which began at the end of 2019, and online exhibitions are emerging as an alternative. We analyze cases of existing online exhibition methods and visit online exhibition methods such as web, video, and virtual reality and metaverse environment then present a plan for individual exhibitions in consideration of the recent metaverse environment. The proposed metaverse-based personal exhibition method is structured so that artists can construct a space on the metaverse and place their works, and then viewers can freely take a look on it from a remote location. Based on the proposed exhibition direction, the representative metaverse platform was applied to confirm the characteristics and possibilities of exhibition space and composition of works and users' exhibition experience. In the face of the rise of online exhibitions, space can be constructed in the direction the artist pursues in online exhibitions as well as offline exhibitions, but also online exhibitions, and hopes that online exhibitions will become another genre of exhibitions rather than incidental after the end of Covid-19.

• The Journal of the Korea Contents Association
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• v.13 no.8
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• pp.348-359
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• 2013

The core of contents monetization is the consumer's willingness to pay. In the past, the terrestrial contents can be used through the frequency for free. As the terrestrial contents use via online services has been increased, the importance of willingness to pay for the broadcasting contents is getting bigger. To find critical factors which can influence on the willingness to pay for the terrestrial contents, independent factors are categorized into three. The independent factors are users' awareness for copyright protection, contents characteristics, and platform characteristics. The results show that attitude for paying, subjective norms for copyright protection, rapid providing of contents, quality of service, social critical point, and expected service value are found out as significant factors. This result implies that it is necessary to enhance platform competitiveness to survive in convergence environment and customer relationships should be reinforced to maintain them as loyal customers.

• Journal of the Korea Society of Computer and Information
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• v.29 no.7
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• pp.129-137
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• 2024

Social enterprises have a high cost structure, inefficient operation, and poor human and material resources due to a dual structure that must achieve both economic and social purposes. To solve this problem, collaboration, such as sharing resources and information between social enterprises, is emerging as an important management issue. Accordingly, in recent years, the establishment and operation of an online platform is being emphasized as a means to effectively support the problem of lack of resources (human resources, equipment, funds, and technology) between social enterprises, the promotion of joint projects between companies, and the establishment of organic information sharing and communication channels between companies. This study empirically analyzed how the required characteristics of the online platform that supports the collaboration of social enterprises vary depending on the characteristics of the enterprise (general characteristics, collaboration characteristics), and found that there are statistically significant differences depending on the size. These results are expected to be useful in deriving management plans for online platforms for cooperation support for domestic social enterprises in the future, and seeking ways to increase collaboration using the platforms.

• Korean Association of Arts Management
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• no.56
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• pp.189-215
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• 2020

This study aims to understand the process of valuing contemporary artworks by young and emerging artists via online art platforms. This paper conceptualizes Bourdieu's theory of cultural capital, which theoretically guides us for conducting a case study of Saatchi Art. This article mainly collected data by interviewing seven Korean artists who were selected by our case with the supplement information carried out direct observation and document reviews. By analyzing the gathered data, the key finding of this research is that the selection of artists in Saatchi Art's curatorial program implicitly admits and guarantees the value of their artworks. By doing so, it contributes to building symbolic capital for the selected artists. This article also contends that such construction of the artists' symbolic capital results from the accumulated symbolic capitals of the founder and curator of the online platform. The theoretical contribution of this paper is to expand previous research on valuing artworks in the offline art world into the online one.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.321-331
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• 2020

The purpose of this study is to explore the impact of home stay platform on guests' willingness to comment online under the Shared home stay business model. Shared platform of home stay facility in addition to providing a variety of support services, help the landlord to the tenant do offline accommodation services, implementation, trading, will need to take some measures to actively promote the tenant groups to the landlord, the evaluation is objective, effective and sufficient number in order to better promote the sharing credit ecological establishment of home stay facility. In this study, consumers who have used the Shared home stay platform are taken as the research objects. The survey method adopts network questionnaire survey and Likert seven subscales. The statistical software SPSS24.0 program is used to process the data. Firstly, descriptive statistical analysis was conducted, followed by validity analysis and reliability analysis. After the reliability and validity of the questionnaire were determined, correlation analysis and regression analysis were used to verify the proposed hypothesis. The research results of this study are summarized as follows :(1) the usability of platform comment function, guest satisfaction and platform reward have a positive impact on the guest online comment willingness; (2) The credit mechanism of the platform has a positive regulating effect on the process of tenant satisfaction influencing tenant comment intention.

• Journal of Korea Game Society
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• v.10 no.2
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• pp.81-88
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• 2010

This study will explore the current status and forecast on Chinese game in relation to game platform. Chinese market has recently developed increasing game platform in the Chinese Market. This paper presents an analysis of Korean game industry's competitive strategy in the Chinese market on the basis of SNG. It explores the new platform such as Webgame and SNS service develops implications for Korean game industry. A new strategy responding to Chinese market and needs is more likely to be successful than a global integration strategy.

• Trans-
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• v.5
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• pp.29-48
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• 2018

This study examines the popularization strategy of domestic dance field through media platform and examines it based on the interaction of cultural participants. What does popularization of dance ultimately mean? What are the characteristics of media-based popularization strategies? Can all of these attempts be understood as popularization strategy with same attributes? The purpose of this study is to examine the characteristics of broadcasting media, which are used as the main medium of dance popularization strategy, and the online platform that recently attracts attention, and to focus on the communication process of cultural participants related to each media. Through this approach, media based activities turns out to be Mass Culture, controlled by businessman, capital, making it impossible for the creator to communicate directly with the audience, and producing the cultural products planned by the businessman. On the other hand, an online community platform is classified as Popular Culture since it allows creator to communicate and interact with audience without the direct involvement of the businessman and guarantees the rights of creation. Thereby it function as appropriate media platform and expand the discourse on popularization of dance in Korea.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.537-542
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• 2021

This study aimed to understand and analyze the instructors' class satisfaction and the effectiveness of online general education classes perceived by instructors after inevitable COVID-19. A total of 54 instructors participated in the survey conducted at the end of the spring semester 2021 at C University located Gyeongsangnam-do. Findings revealed that instructors' satisfaction with their online classes was relatively low(2.80), and they negatively perceived their online classes. Also they show negative perception of the variable, interaction with learners(2.87). However, they show higher satisfaction with the next variables than the overall satisfaction; class management, online learning platform, and asynchronous online learning. Plus, a statistically significant result is that online learning platform have the biggest effect on the instructors' class satisfaction. Therefore, we need to know that instructors have to get familiar with the online learning platform and universities help them provide a variety of training sessions regarding online learning platforms. This study has limitations in that it was conducted only at one college and the limited number of variables was measured.

• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.285-301
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• 2023

Due to the increasing demand and importance of non-face-to-face education, open online learning platforms are getting interests both domestically and internationally. These platforms exhibit different characteristics from online courses by universities and other educational institutions. In particular, students engaged in these platforms can receive more learner autonomy, and the development of tools to assist learning is required. From the past, researchers have attempted to utilize process mining to understand realistic study behaviors and derive learning patterns. However, it has a deficiency to employ it to the open online learning platforms. Moreover, existing research has primarily focused on the process model perspective, including process model discovery, but lacks a method for the process pattern and instance perspectives. In this study, we propose a method to identify learning patterns within an open online learning platform using process mining techniques. To achieve this, we suggest three different viewpoints, e.g., model-level, variant-level, and instance-level, to comprehend the learning patterns, and various techniques are employed, such as process discovery, conformance checking, autoencoder-based clustering, and predictive approaches. To validate this method, we collected a learning log of machine learning-related courses on a domestic open education platform. The results unveiled a spaghetti-like process model that can be differentiated into a standard learning pattern and three abnormal patterns. Furthermore, as a result of deriving a pattern classification model, our model achieved a high accuracy of 0.86 when predicting the pattern of instances based on the initial 30% of the entire flow. This study contributes to systematically analyze learners' patterns using process mining.