• Women's Health Nursing
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• v.27 no.3
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• pp.256-264
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• 2021

Purpose: This study investigated the impact of coronavirus disease 2019 (COVID-19) on women's health nursing clinical practicums in undergraduate nursing schools in Korea during the spring 2020 semester. Methods: A cross-sectional online survey on clinical practicum teaching experiences in the spring 2020 semester was distributed to members of the Korean Society of Women Health Nursing (KSWHN) who taught undergraduate nursing. One faculty member from each of 203 institutions was requested to respond and there were no duplicate participants. Seventy-nine participants (38.9%) responded and 74 responses were analyzed. Descriptive statistics were presented for all survey items. Results: Fifty-two faculty members (70.3%) belonged to universities and 22 (29.7%) taught at colleges. Thirty-eight (51.4%) answered that their institutions had affiliated teaching hospitals. More than half (52.7%) conducted hospital-based clinical practicums either entirely (n=20) or partially (n=19), whereas the rest of them (47.3%) conducted clinical practicums at school or home via online teaching. The typical teaching methods for offline or online education were case conferences, tests or quizzes, scenario studies, nursing skill practicums, (virtual) nursing simulations, and simulated patient education. Most of faculties (93.2%) supported the development of an educational platform to share educational materials and resources, such as case scenarios. Conclusion: Nursing faculty members utilized various teaching methods to enhance clinical skills and mitigate limited clinical exposure during the early stage of the COVID-19 pandemic. The KSWHN should move forward to develop an education platform and modalities for members who face many challenges related to the accessibility and quality of nursing education contents.

• Journal of Arbitration Studies
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• v.31 no.1
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• pp.155-171
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• 2021

Recently, the e-business market has become a place of convergence where consumers and suppliers communicate with each other, and a new method of trading of funds has emerged in the process. Crowd-funding is one of the types of money transactions that have emerged in the online space, and its interest and trading volume have been growing rapidly recently. The platform in the online space using crowd-funding method operates in the form of online telecommunication sales, and it is in the form of producing and delivering products based on funds obtained from potential consumers by the operators involved in securing funds. However, if the participating business operators do not deliver the product or deliver the product other than the promoted product and avoid responsibility, the potential demander will not be compensated without mediation by the platform operating entity. In this study, despite the rapid growth in the market size of crowd-funding, consumers who participated in the funding are protected and able to resolve disputes in the event of a conflict amid growing complaints from potential consumers and side effects. The structure or method of crowd-funding is a new form of trading that has different features from conventional e-commerce. Therefore, the legal basis is not yet in place and the standards need to be laid out through various and sufficient discussions politically, legally, socially and culturally and economically. As the potential market and positive effects of crowd-funding around the world have been recognized, a role is required as an ecosystem for new financial transactions. And the potential market could be realized as a new industry if the right legal system and policy consultation were made.

• Journal of Creative Information Culture
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• v.7 no.2
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• pp.91-98
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• 2021

As the amount of time that elementary school students spend online increased due to Corona 19, the amount of posts, comments, and chats they write increased, and problems such as offending others' feelings or using swear words are occurring. Netiquette is being educated in elementary school, but training time is insufficient. In addition, it is difficult to expect changes in student behavior. So, technical support through natural language processing is needed. In this study, an experiment was conducted to automatically filter profanity sentences by applying them to a pre-trained language model on sentences written by elementary school students. In the experiment, chat details of elementary school 4-6 graders were collected on an online learning platform, and general sentences and profanity sentences were trained through a pre-learned language model. As a result of the experiment, as a result of classifying profanity sentences, it was analyzed that the precision was 75%. It has been shown that if the learning data is sufficiently supplemented, it can be sufficiently applied to the online platform used by elementary school students.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.263-265
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• 2022

In online exhibitions, the artist's differentiated exhibition composition is important because the exhibition immersion decreases compared to offline exhibitions. Therefore, the purpose of this paper is to propose a new online exhibition platform by developing a PC APP service that exhibits the work production process led by the artist. To this end, literature surveys, visitor surveys, and in-depth interviews were conducted. Based on this, a prototype was implemented with Figma and Unity. As a result of the study, visitors answered that online exhibition planning needs to be improved, and the artist said that if the artist's autonomy is guaranteed in the composition of the exhibition hall, the understanding of the work can be improved. By applying this, a system was developed that allows artists to display their own production process data. The significance of this paper is to help visitors improve their understanding of the work and improve the delivery of the artist's work.

• The Journal of Society for e-Business Studies
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• v.27 no.2
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• pp.21-36
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• 2022

Recently, as COVID-19 has made the e-commerce market expand widely, customers who have different consumption patterns appear in the market. Because companies can obtain opinions and information of customers from reviews, they increasingly face the requirements of managing customer reviews on online platform. In this study, we analyze customers and carry out market segmentation for classifying and defining type of customers in e-commerce. Specifically, K-means clustering was conducted on customer review data collected from Wemakeprice online shopping platform, which leads to the result that six clusters were derived. Finally, we define the characteristics of each cluster and propose a customer management plan. This paper is possible to be used as materials which identify types of customers and it can reduce the cost of customer management and make a profit for online platforms.

• The Journal of Information Systems
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• v.25 no.1
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• pp.75-104
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• 2016

Purpose The business ecosystem perspective offers a new lens in which to view customers. Customers as the member of business ecosystems influence firms by participating in both the firm level activities and the business ecosystem level activities. For example, customers participate in the business ecosystems by forming interest groups, allowing their voice to be heard the within business ecosystems. Customers can also, turn public opinion around and foster the business ecosystems favorable to firms. On the other hand, as an extreme case of customer participation, customers can engage in community activities to boycott the purchase of products or services from certain firms or business ecosystems. Design/methodology/approach This study views content creation and feedback activities as customer participation in the firm level. On the other hand, word-of-mouth (WOM) and boycott activities are considered as customer participation in the business ecosystem level. This study presents a research model regarding the relationships among customer socialization, customer participation, and psychological ownership. The proposed model is validated through an empirical analysis on online platform business ecosystems. Findings When the two business ecosystems are compared, different results were drawn. In the Facebook ecosystem, boycott and psychological ownership did not have a significant relationship. However, in the Kakao ecosystem, the two had a significant positive relationship. The mediating effect of the business ecosystem type sheds a light on the mission, purpose, vision, and other values associated with the theory of the business on the customer-firm relationship. Further implications for theory and practice were discussed in this study.

• 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.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.2
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• pp.726-741
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• 2022

The purpose of this study is to provide instructive theoretical models for art (music) education institutions especially when unpredictable risks, such as pandemics, occur again. Based on the customer behavior theory of the business-to-business-to-customer (B2B2C) platform, and in combination with the technology acceptance model (TAM) and expectation confirmation model (ECM), this study proposes an online education model from the perspective of art education. The framework is based on the three decision-making processes of the customer, and includes the product owner, content owner, and customer area. This paper highlights the factors that influence customers in making decisions when art education institutions are product owners. Regression analysis was introduced to study the factors influencing the expectation confirmation, and the overall fitting testing and six hypotheses testing of 385 effective samples were performed using the structural equation modeling (SEM). The results show that the course-design and after-service positively influenced the expectation confirmation, and the domain image positively influenced the continuance behavior. Negative emotions skipped the mediator (expectation confirmation) and directly exerted a significant negative impact on customers' willingness to continue system usage (continuance behavior). In addition, expectation confirmation positively influenced continuance behavior. The paths of detailed items comprising course-design, after-service, and negative emotion were also analyzed and discussed. In this path analysis, ordinary art learners did not believe that AI partners can play a very good auxiliary role. The findings contribute to the scope of information systems acting as an art education platform academically, and provide effective and theoretical support for the actual operation of art education institutions.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.9
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• pp.1320-1329
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• 2022

Currently, advanced national research network groups are continuously conducting R&D for the requirement to provide SDN/NFV-based network automation and intelligence technology for R&E users. In addition, the requirement for providing large-scale data transmission with the high performance networking facility, compared to general network environments, is gradually increasing in the advanced national research networks. Accordingly, in this paper, we propose an open API-based virtual network provisioning automation platform for large data transmission researched and developed to respond to the networking requirements of the national research network and present the implementation results. The platform includes the KREONET-S VDN system that provides SDN-based network virtualization technology, and the Kubernetes system that provides container-oriented server virtualization technology, and the Globus Online, a high-performance data transmission system. In this paper, the environment configurations, the system implemetation results for the interworking between the heterogeneous systems, and the automated virtual network provisioning implementation results are presented.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.467-474
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• 2024

This study analyses customer data from a US online lending platform to empirically document the discriminatory treatment that low- and middle-income borrowers face in financial markets. Researchers are using financial data from nearly 2.93 million loans between 2007~2020 of the Lending Club on the open-source Kaggle platform. We find that thin-filers borrowers, especially those with lower credit scores, receive loans at higher interest rates. This discriminatory treatment undermines financial inclusion and has the potential to increase social inequality. The significance of this research is that it sheds substantial light on the problem of inequality in financial markets and, based on the findings, suggests concrete measures to ensure equitable access to finance for all customers and enhance sustainable financial inclusion. In doing so, we propose a shift towards enhancing the social responsibility of institutions.