• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.197-216
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• 2022

With the development of Internet and mobile technology and the spread of social media, a large amount of information is being generated and distributed online. Some of them are useful information for the public, but others are misleading information. The misleading information, so-called 'fake news', has been causing great harm to our society in recent years. Since the global spread of COVID-19 in 2020, much of fake news has been distributed online. Unlike other fake news, fake news related to COVID-19 can threaten people's health and even their lives. Therefore, intelligent technology that automatically detects and prevents fake news related to COVID-19 is a meaningful research topic to improve social health. Fake news related to COVID-19 has spread rapidly through social media, however, there have been few studies in Korea that proposed intelligent fake news detection using the information about how the fake news spreads through social media. Under this background, we propose a novel model that uses Graph2vec, one of the graph embedding methods, to effectively detect fake news related to COVID-19. The mainstream approaches of fake news detection have focused on news content, i.e., characteristics of the text, but the proposed model in this study can exploit information transmission relationships in social engagement networks when detecting fake news related to COVID-19. Experiments using a real-world data set have shown that our proposed model outperforms traditional models from the perspectives of prediction accuracy.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.3
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• pp.119-133
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• 2022

The COVID-19 pandemic is rapidly changing the behavior of members of society. Typically, the strong contagious power of the virus minimizes interaction between people in the real world, and they keep interaction activities to a minimum through online activities. Recently, as people demand online activities that enhance a sense of reality, the metaverse, which strengthens the 3D technology-centered sense of presence capability, is being chosen by people. The purpose of this study is to suggest a strategic direction for the establishment of the metaverse business model of startups by presenting factors for users' use and gratification of the metaverse. In detail, this study proposes the motivation for using the metaverse by reflecting the uses and gratification theory, and suggests a method to strengthen the motivation for the metaverse by reflecting the presences provided by the metaverse plotform and individual characteristics (normtive interpersonal influence). We surveyed people over 20 years of age who experienced metaverse and obtained 314 samples. In addition, we conducted the main effect analysis using the structural equation model and the moderating effect analysis using Process 3.1. As a result of hypothesis testing, we confirmed that metaverse presence (telepresence, social presence) has a positive effect on intention to continuous use by increasing metaverse's use and satisfaction factors (information, enjoyment, social interactivity). In addition, we found that individuals' normative interpersonal influence moderated the positive relationship between uses and gratification factors(enjoyment and social interactivity) intention to continuous use. Our study suggests strategies for establishing a user-centered business model for companies related to the metaverse.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.4
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• pp.25-35
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• 2013

The main objective of this study is to investigate the structural relation between antecedents and consequences of web sites' trust of venture company. It examines consumer perceptions trust in a web site and address following research questions; what factors influence consumer trust in a web site and what specific web site cues are associated with trust, satisfaction, and intention? We test our hypothesis in a empirical data from 123 consumers across 3 web sites of venture companies. By factor analysis, the results show that web site characteristics are such as design, business function, interface, technology, community, and contents of each web site. We also find that web site characteristics such as design, interface, technology, and community can influence significantly satisfaction of web site, and design and contents of web site can influence consumer's trust. And the results show that trust influence behavioral intention through the satisfaction. The results offer important implication for web site strategies of venture company that include the manipulation of factors influencing web site trust. And the future directions of the present research are discussed.

• The Journal of the Korea Contents Association
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• v.14 no.6
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• pp.1-10
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• 2014

Through the development of internet mobile devices and online business activation, sensitive data of unspecified user is being easily exposed. In such an open business environment, the outflow of sensitive personal information has often been remarked on recently for which adoption of encryption solution for database became top priority in terms of importance. In 2011, government also legislated for the protection of personal information as an information network law, and is now applying the law to a variety of industries. Firms began to comply with these regulations by establishing various measures for protection of personal information and are now quickly introducing encryption solution to reinforce security of personal information they are managing. In this paper, I present architecture and technological parts that should be considered when introducing security solution.

• The Journal of the Convergence on Culture Technology
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• v.3 no.1
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• pp.35-41
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• 2017

Smart phone based IT support programs are faced with difficulties due to the following reasons first, long development period is required as separate developments are necessary respectively depending on the operating system of Smart phone second, it is also difficult to secure high development cost for the outsourcing of the development. It is a big problem for improving app developing productivity. Smart App Factory which is suggested in this thesis is the business strategy to surpass the Android market of Google and App Store of Apple within short period of time based on App productivity of Smart App Authoring Tool and to accomplish the materialization of App market which is in the 1st global position and all potential customers who need programs for their works regardless of budget, scope, complexity and scale will be implemented by unfolding unprecedented low price policy and global online marketing activities for App development.

• Journal of Fashion Business
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• v.6 no.4
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• pp.17-31
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• 2002

This study is, to the special company with corporate brand, to investigate the effect of its reputation, credibility and the similarity of business area on consumer's attitude toward its clothing products. It is another topic of the study to reveal statistical significance in comsumer's attitude when naming new product with two different brand strategy. The major findings of this study can be summarized as follows. First, there was positive relationship between corporate reputation and consumer's attitude toward new brand and also between corporate credibility and consumer's that. Second, corporate credibility is proven to be grown in proportion to company's reputation. In other words, a corporate credibility is grown with a corporate reputation. Third, the influence of similarity or fitness of business area has a positive effect on a attitude toward new brand. The case of use the new brand name, the variable had low effect on attitude toward new brand, comparing to the case of use the existing brand name but seems to be statistically significant. Fourth, comparing to the inclination toward company's product based on brand name, strategy of supporting brand extension is more effective than that of new brand name on evaluating company's reputation, credibility and the similarity of business area. Fifth, the similarity of business area and the interaction of brand name on the basis of the strategy of use the existing brand name(;brand extension strategy) and new one have significant effect on the inclination to a brand. When participating a new business, it is more effective that a company is extending its business where the similarity of business area is growing. For the case of low similarity, the brand-new strategy is proven to be effective.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.203-208
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• 2021

This study is to investigate the impact of emotional intelligence of online shopping mall call center counselor on customer orientation. The SPSS 25.0 ststistics program was applied for the empirical analysis 148(87.05%)of 170 copies are used for final data analysis. The implications of results are as follows. First, use of emotion, a subfactor of emotional Intelligence, has shown to have a significant positive effect on customer orientation. Second, other's emotional appraisal, a subfactor of emotional Intelligence, has shown to have a significant positive effect on customer orientation. Third, self emotional appraisal, a subfactor of emotional Intelligence, has shown to have a significant positive effect on customer orientation. Fourth, regulation of emotion, a subfactor of emotional Intelligence, has shown to have a significant positive effect on customer orientation.

• The Journal of Bigdata
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• v.8 no.2
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• pp.201-222
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• 2023

As the e-Commerce gets increased based on the platform, a lot of small and medium sized sellers have tried to develop the more effective strategies to maximize the profit. In order to increase the profitability, it is quite important to make the strategic decisions based on the range of promotion, discount rate and categories of products. This research aims to develop the business intelligence application which can help sellers of e-Commerce platform make better decisions. To decide whether or not to promote, it is needed to predict the level of increase in sales after promotion. I n this research, we have applied the various machine learning algorithm such as MLP(Multi Layer Perceptron), Gradient Boosting Regression, Random Forest, and Linear Regression. Because of the complexity of data structure and distinctive characteristics of product categories, Random Forest and MLP showed the best performance. It seems possible to apply the proposed approach in this research in support the small and medium sized sellers to react on the market changes and to make the reasonable decisions based on the data, not their own experience.

• Journal of Korea Game Society
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• v.9 no.3
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• pp.107-119
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• 2009

Online games belong to a technology-oriented service industry that has emerged from the assimilation of game contents and communication networks in the respective realms of culture technology (CT) and information technology (IT). This study examines the individual acceptance of online games as entertainment-oriented technology based on the belief-attitude-intention paradigm and the underlying hedonic and utilitarian motivations. To measure the latent variables influencing the acceptance process, a structured questionnaire was developed based on the existing Technology Acceptance Model. Research model analysis and hypothesis testing were carried out using a structural equation model. Results indicated that latent variables reflecting hedonic and utilitarian characteristics had a significant influence on user behavior in the acceptance of online games. By uncovering the core factors in! fluencing the acceptance of online games and thereby theoretically verifying the latent variables influencing the acceptance of entertainment-oriented technology, this study provides strategic implications for business models by game companies aimed at attracting a large user base and dominating the market.

• 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.