• Journal of Digital Convergence
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• v.20 no.4
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• pp.39-44
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• 2022

This study conducted an actual analysis on the effects of smart phone experience marketing by brand on consumption value and purchase intention for Chinese consumers who are interested in smart phone purchase experience or products. In addition, experience marketing was classified into five components such as sense, emotion, cognition, behavior, and relationship. The results, In the effect of the components of experiential marketing on purchase intention, sense, act, fell, and relate had an obviously positive impact on purchase intention, however The result is that think does not affect. The results of this study are more effective when considering the five components of smart phone experience marketing. This The study will contribute to the projecting and establishment of long-term experience marketing of smart phone producers by continuously providing experiences related to the direction of pursuing brand image.

• The Journal of Society for e-Business Studies
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• v.27 no.1
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• pp.111-126
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• 2022

As the technology hegemony war between the United States and China develops and the importance of R&D increases, countries around the world are increasing their R&D investment. In Korea, the size of R&D investment by the government and companies has steadily increased every year, and cutting-edge technologies are being developed in various fields as it shifts to the direction of creative technology development. However, the number of cases in which high-tech core technologies in Korea, which have invested a lot of budget, time, and effort, are illegally leaked overseas is also steadily increasing. Research security is an activity to safely protect protected objects in the research environment from risk factors such as leakage and deodorization, and laws and systems for research security are being reorganized not only in Korea but also in the United States and other countries around the world. In this paper we aims to derive Korea's research security policy direction, focusing on US research security cases which ranks first in R&D expenses around the world to improve the R&D system and actively discusses R&D policies and laws.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.93-98
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• 2022

This research emphasized that the importance of green marketing activities elements such as green product, green price, green place, and green promotion. Moreover, it focused on verifying the effects of these four elements on purchase intention through environmental involvement. To verify this, an empirical analysis was conducted on Chinese consumers who have experienced or are considering purchasing a new energy vehicle. The research results are as follows. First, all four elements of green marketing activities improve environmental involvement. Second, environmental involvement was found to increase the level of purchase intention. Third, environmental involvement has a partial mediating effects in the relationship between the four elements of green marketing activities and purchase intention. Finally, the limitations of this study and future research directions were discussed.

• Journal of the Korea Convergence Society
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• v.12 no.7
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• pp.31-36
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• 2021

As the global economy stagnated due to the Corona 19 virus from Wuhan, China, most countries, including the US Federal Reserve System, introduced policies to boost the economy by increasing the amount of money. Most of the stock investors tend to invest only by listening to the recommendations of famous YouTubers or acquaintances without analyzing the financial statements of the company, so there is a high possibility of the loss of stock investments. Therefore, in this research, I have used artificial intelligence deep learning techniques developed under the existing automatic trading conditions to analyze and predict macro-indicators that affect stock prices, giving weights on individual stock price predictions through correlations that affect stock prices. In addition, since stock prices react sensitively to real-time stock market news, a more accurate stock price prediction is made by reflecting the weight to the stock price predicted by artificial intelligence through stock market news text mining, providing stock investors with the basis for deciding to make a proper stock investment.

• Asia-Pacific Journal of Business
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• v.12 no.2
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• pp.97-114
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• 2021

Purpose - The purpose of this study was to examine the effects of privatization of Chinese state-owned enterprises (SOEs) on their initial returns and long-term performance after initial public offering(IPO). Design/methodology/approach - This study used 1,599 Chinese IPO firms, some of which were SOEs. The multivariate regression analyses were implemented to analyze their effects. Findings - First, the privatization of SOEs does not have any statistically significant effect on the initial return of IPO firms. Second, the shareholdings of government prior to IPOs for both privatizing of SOEs and non-privatizing firms and for both exchanges of Shanghai and Shenzhen have a statistically significant positive effect on the initial return of IPO firms. Third, the privatization of SOEs has statistically significant negative effect on the long-term returns of IPO firms. Fourth, the state-shareholdings prior to IPOs have statistically significant negative effects on the long-term return of IPO firms. Fifth, the state-shareholdings of the privatizing SOEs prior to IPOs have statistically significant positive effects on the long-term return of IPO firms. Research implications or Originality - The results imply that the higher shareholdings and ownership of the Chinese government on SOEs reduce the information asymmetry for the investors of IPO shares or maybe due to inefficiency of SOEs prior to IPOs lead to lower offer prices or higher opening prices leading to severe underpricing and relatively lower stock market returns in the long-run both for the privatizing firms and for the higher state-shareholding firms, while both factors interactively improve their long-term stock market returns.

• Asia-Pacific Journal of Business
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• v.13 no.1
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• pp.153-166
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• 2022

Purpose - ESG(Environmental, Social and Governance) rating is an indicator to predict the sustainable development and long-term value creation of enterprises, which is becoming more and more important. This study divided the ESG rating into each sector(E, S and G) to identify which ESG elements are effective in enhancing enterprise value according to the characteristics of the enterprise, which is different from previous studies. Design/methodology/approach - In this study, Bloomberg ESG Disclosure Score was used to empirically analyze the relationship between ESG ratings and corporate value by taking the listed companies of China's Shanghai Composite Index from 2017 to 2020 as the object. Findings - First, the relationship between ESG ratings and enterprise value shows a statistically significant positive correlation, which supports the results of previous studies. Second, the analysis results from the classification of ownership structure of enterprises (state-owned enterprises and non-state-owned enterprises) show that compared with state-owned enterprises, the ESG ratings of non-state-owned enterprises is more closely related to enterprise value. Third, the analysis of various industries (manufacturing and non-manufacturing) shows that compared with manufacturing, ESG scores of non-manufacturing has a more positive effect on enterprise value. Lastly, the analysis by industry type (heavy-contaminated companies, non-contaminated companies) confirmed that ESG scores of non-contaminated companies has a positive effect on corporate value than heavy-contaminated companies. Research implications or Originality - This study classified ESG evaluation grades(E, S and G) for listed companies in China and analyzed in detail how they affect corporate value according to corporate characteristics, drawing implications for what ESG indicators should be focused on to increase corporate value.

• The Journal of Engineering Geology
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• v.33 no.1
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• pp.1-13
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• 2023

Predicting earthquakes is difficult due to the complexity of the systems underlying tectonic phenomena and incomplete understanding of the interactions among tectonic settings, tectonic stress, and crustal components. The Korean Peninsula is located in a stable intraplate region with a low average seismicity of M 2.3. As public interest in the earthquake grows, we analyzed earthquakes on the Korean Peninsula by attempting to predict spatio-temporal earthquake patterns and magnitudes using Facebook's Prophet model based on deep learning, and here we discuss seismic distribution zones using DBSCAN, a cluster analysis method. The Prophet model predicts future earthquakes in Chungcheongbuk-do, Gyeonggi-do, Seoul, and Gyeongsangbuk-do.

• Journal of Digital Convergence
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• v.21 no.2
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• pp.9-16
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• 2023

The purpose of this study is to analyze research trends on ESG (Environmental, Social, and Governance), and to present a direction for companies and investors to use ESG information. To this end, text mining, one of the atypical data mining techniques, was used for analysis. Thesis abstracts from January 2014 to February 2023 were collected from the SCOPUS database, and Economics, Econometrics and Finance were the most common. The United States and China published the most ESG papers, and Korea published the 6th most papers in the world. This study is meaningful in that it analyzed the main research trends of ESG using text mining techniques such as LDA and topic modeling. It was confirmed that ESG is being conducted in various fields, not in a specific field, and it is differentiated from previous studies in that it analyzed various influencing factors and ripple effects of ESG.

• Journal of Industrial Convergence
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• v.20 no.2
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• pp.11-19
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• 2022

This study examines the role of economic uncertainty in stock price determination in the domestic stock market. To this end, we analyzed the relationship between economic uncertainty indices at home and abroad (USA, China) and stock returns for non-financial companies in Korea from January 2000 to 2017. For the analysis model, the 3-factor model of Fama and French (1992) and the 5-factor model including momentum and liquidity were used. As a result of the analysis, a portfolio with a high beta of economic uncertainty showed higher stock returns than a portfolio with a low beta. This was the same as the US analysis result. Also, the analysis results using the US uncertainty index were more significant than the regression analysis results using the Korean economic uncertainty index.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.61-68
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• 2022

This study examines the impact of consumers' subjective perception on the quality loyalty of the Internet of things, explores academic innovation schemes, and puts forward business strategies for on-site optimization of the industry. The research methods use online survey methods for Chinese consumers who have used or bought Xiaomi IoT products. The results show that the inherent attributes of Internet of things products have an impact on brand image, and brand image has an impact on customer loyalty. Brand image shows complete media effect in the relationship between hyper-connectivity and customer loyalty of Internet of things products. For the enterprises that develop the Internet of things, obtaining the perceived brand image has a very important strategic significance in expanding the loyal customer base.