Earticle

This study is about the change in the importance of shopping value for beauty products of social commerce due to the social crisis or risk caused by COVID-19. It was analyzed focusing on whether the importance of shopping value changed before and after COVID-19. We checked the importance of shopping value after COVID-19 through the AHP results of previous papers before COVID-19, and analyzed the importance by adding variables of risk reduction behavior and delivery convenience according to the situation of COVID-19. The AHP method was used to check the change in the importance of shopping value before and after COVID-19, and the study was conducted using 48 data. The results were as follows. As for the importance of shopping value of social commerce beauty products, it was ranked in the order of time convenience, convenience of delivery, third-ranked trust business operators, fourth-ranked economic aspects, fifth-ranked decision support, sixth-ranked risk reduction behavior, and seventh-ranked business reputation. Compared to previous studies, decision-making support, which was in the second place, fell to the fifth place. This result was confirmed to be a drop in ranking due to the improvement of delivery convenience due to the influence of COVID-19. In addition, in the case of beauty products, it was confirmed that risk reduction behavior related to COVID-19 infection is not a key factor in shopping value. These results confirmed changes in the importance of shopping value compared to pre-COVID-19 studies, and in the case of product groups other than beauty products, further studies are expected as there is a possibility of other results.

While there exists voluminous literature on the internationalization of the firms, it has focused on mature firms or born-global firms. There is still a lack of research on firm that is in the growth stage between venture and mature firm. To fill this gap, this paper focuses on the newly public firm which is enter the stock market through initial public offerings (IPO). Specifically, I examine the relationship between the early listing and internationalization. In the venture firm aspect, the decision of the IPO necessary to allow to change organization structure, ownership and take a risk from environmental movements. This paper suggests early listing is a behavior of entrepreneur orientation. According to empirical results, there is a positive relationship between early listing and internationalization. It implies that early listing may help international expansion by sourcing finance, reputations from market. Furthermore, this study emphasizes the importance of financial slack resources to international expansion. I conclude that ventures need not only early entering in stock market but also securing sufficient financial slack resources to achieve sustainable growth in the international market.

In this study, with the goal of developing a deep learning-based product recommendation model for effective matching of influencers and products, a deep learning model with a collaborative filtering model combined with generalized matrix decomposition(GMF), a collaborative filtering model based on multi-layer perceptron (MLP), and neural collaborative filtering and generalized matrix Factorization (NeuMF), a hybrid model combining GMP and MLP was developed and tested. In particular, we utilize one-class problem free boosting (OCF-B) method to solve the one-class problem that occurs when training is performed only on positive cases using implicit feedback in the deep learning-based collaborative filtering recommendation model. In relation to model selection based on overall experimental results, the MLP model showed highest performance with weighted average precision, weighted average recall, and f1 score were 0.85 in the model (n=3,000, term=15). This study is meaningful in practice as it attempted to commercialize a deep learning-based recommendation system where influencer's promotion data is being accumulated, pactical personalized recommendation service is not yet commercially applied yet.

Recently, big data services have been used in various fields. In this situation, this research studied the intention to provide personal information from users, which is necessary to provide useful big data services. A survey was conducted on college students and ordinary people who have understood big data services. And path analysis was performed through Amos' structural equation. As a result of the study, it was found that privacy risks, trust in service providers, individual innovativeness, service incentives, social influence, and service design are major variables influencing the intention to provide personal information. And it was found that trust in service providers plays a mediating role in influencing the intention to provide personal information. In addition, big data services were classified into types for information acquisition and types related to purchase. Accordingly, it was further analyzed whether major variables differ in the path affecting the intention to provide personal information, and new implications were found. Companies that actually develop and provide big data services should establish different strategies by reflecting research results depending on the type of big data service provided.

The purpose of this study is to compare and analyze each government's ICT SME support policies to cope with changes in the ICT ecosystem paradigm. In particular, the core policies and policy trends of the Moon‘s government are presented through keyword network analysis and cognitive map analysis. As a result, core technologies such as ICT(Information Communication Technology), AI(Artificial Intelligence), Big Data, and 5G, which have high values of betweenness centrality and closeness centrality, are major keywords with high propagation power. The cognitive map analysis shows that the opportunity factors for the 4th industrial revolution are being activated through the ICT infrastructure circulation process, the domestic market circulation process, and the global market circulation process. This study is meaningful in terms of cognitive map analysis and utilization based on scientific analysis.