• Industry Promotion Research
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• v.8 no.4
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• pp.267-276
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• 2023

Based on the tourism input-output data of five provinces and cities in China's Bohai Rim region from 2015~2021, this study analyzes the efficiency of regional tourism using DEA-BCC and DEA-Malmquist index, as well as its contribution to regional economic efficiency, and identifies factors influencing the comprehensive efficiency. The research results indicate that the comprehensive efficiency of the tourism industry in the China Bohai Sea region has reached an optimal level of 88.9%, but there is still room for improvement, with overall fluctuations. The overall productivity of the tourism industry exhibits a "U"-shaped fluctuating pattern, with growth mainly driven by technological advancements. Due to the impact of the COVID-19 pandemic, the region experienced a nearly 50% decrease in total factor productivity in 2019~2020. However, in 2021, with the implementation of various government stimulus policies, the tourism efficiency rapidly recovered to 80% of pre-pandemic levels. In terms of the impact of the tourism industry on the regional economy in the China Bohai Sea region, Hebei Province stands out as a significant contributor. Based on the aforementioned research findings, the following recommendations are proposed in three aspects: optimizing the supply structure, increasing innovation investment, and strengthening internal collaboration. These recommendations provide valuable insights for enhancing regional tourism efficiency and promoting regional synergy.

• International Journal of Computer Science & Network Security
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• v.24 no.4
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• pp.127-134
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• 2024

The article highlights the problems of the digitalization of the educational process, which affect the pedagogical cluster and are of a psychological nature. The authors investigate the transformational changes in education in general and the individual beliefs of each subject of the educational process, caused by both the change in the format of learning (distance, mixed), and the use of new technologies (digital, communication). The purpose of the article is to identify the strategic trend of the educational process, which is a synergistic combination of pedagogical methodology and psychological practice and avoiding dialectical opposition of these components of the educational space. At the same time, it should be noted that the introduction of digital technologies in the educational process allows for short-term difficulties, which is a usual phenomenon for innovations in the educational sphere. Consequently, there is a need to differentiate the fundamental problems and temporary shortcomings that are inherent in the new format of learning (pedagogical features). Based on the awareness of this classification, it is necessary to develop psychological techniques that will prevent a negative reaction to the new models of learning and contribute to a painless moral and spiritual adaptation to the realities of the present (psychological characteristics). The methods used in the study are divided into two main groups: general-scientific, which investigates the pedagogical component (synergetic, analysis, structural and typological methods), and general-scientific, which are characterized by psychological direction (dialectics, observation, and comparative analysis). With the help of methods disclosed psychological and pedagogical features of the process of digitalization of education in a mixed learning environment. The result of the study is to develop and carry out methodological constants that will contribute to the synergy for the new pedagogical components (digital technology) and the psychological disposition to their proper use (awareness of the effectiveness of new technologies). So, the digitalization of education has demonstrated its relevance and effectiveness in the pedagogical dimension in the organization of blended and distance learning under the constraints of the COVID-19 pandemic. The task of the psychological cluster is to substantiate the positive aspects of the digitalization of the educational process.

• Journal of the Korea Convergence Society
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• v.11 no.10
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• pp.37-44
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• 2020

Due to the recent COVID 19 pandemic, public institutions are increasingly working from home. Working in public institutions is rapidly changing into a smart work environment where time and space constraints disappear. However, many public institutions currently lack a security model for an efficient smart work environment due to the physical network separation system that separates the Internet network and the business network. Therefore, in this paper, we describe the current limitations for implementing smart work in a physical network separation environment of public institutions, and propose a security model necessary for a work environment to supplement them. As a related study, explain SSL VPN and explain smart work business model through security model research of SDP (Software Defined Perimeter), RDP (Remote Desktop Protocol), and VDI (Virtual Desktop Infrastructure) to overcome the security limitations of SSL VPN. As a result, we intend to propose a security model for a smart work environment suitable for public institutions while complying with the physical network separation security guide.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.340-348
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• 2020

This study was conducted to find the mediating effect of self-leadership in the relationship between academic self-efficacy and college-life satisfaction of Chinese students majoring in beauty. Surveys were answered by 400 Chinese students from July to August 2019 and analyzed as follows. We used the SPSS22.0 program and Process macro for SPSS to analyze the frequency, descriptive statistics, correlation analysis, and bootstrap method. The results of the analysis showed a positive correlation among the college-life satisfaction, self-leadership, and academic self-efficacy of Chinese students, and self-leadership acted as a partially mediating variable between academic self-efficacy and college-life satisfaction. Therefore, it was found that a higher college-life satisfaction and self-leadership resulted in a higher academic self-efficacy. Based on these results, in order to alleviate the problems of college life maladjustment and low learning efficiency of Chinese students majoring in beauty, the development of self-leadership education programs is becoming more important. This must be emphasized in the Edu-Tech era due to the need for customized education programs for international students amidst the COVID-19 pandemic.

• Journal of Service Research and Studies
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• v.10 no.3
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• pp.81-101
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• 2020

Humanity has reached the age of service economy. A new economy requires new management. The chief executive of new management is the CEO. The results of management decision-making are reflected in the company's performance, and are the basis for future growth engines. This study empirically analyzed the effect of CEO competence, corporate orientation, and management performance of small and medium-sized mid-sized business managers on each other. In the study, a hypothesis was established between eight variables. In addition, the relationship between corporate orientation and CEO competency, which has not been studied, was also identified. Set personal effectiveness, willingness to innovate, opportunity recognition, information perception, relationship formation, business management, leadership, organizational culture, and human resource management as measures of CEO competency. After defining the operation in accordance with this study, the analysis was conducted. As a result of the analysis, corporate orientation did not produce a meaningful result in management performance. And CEO competency showed a positive (+) effect on management performance. It can be judged that the CEO variable, a management variable, had a positive effect on management performance. Also, there was a significant result in the relationship between corporate orientation and CEO competency. Innovativeness, initiative, and risk-taking have positive implications for CEO competency. Lastly, corporate orientation showed statistically significant results on management performance through the mediation of CEO competency. It is worth noting the results of this study in that the time of the study was the timing of the global pandemic (fendermic) of the COVID19 virus. In the future, in-depth research is needed on the relationship between CEO-related factors and management performance in a more changed economic environment.

• Knowledge Management Research
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• v.22 no.3
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• pp.235-252
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• 2021

The development of information and communication technology and COVID-19 have caused an unusual change in the hotel industry, and the demand for the contactless services such as service robots from hotel customers has surged. Therefore, this study investigates the perception of hotel customers on contactless services by applying a mixed-method analysis. Specifically, this study identified the causal correlations between variables through the structural equation model, and further applied the fuzzy set qualitative comparison analysis to derive patterns of variables that form the intention to use the non-face-to-face services. As a result of the analysis, it was shown that service experience co-creation, palyfulness, personalization, and trust had a significant effect on intention to use through the contactless service use desire. On the other hand, in the results of fuzzy-set qualitative comparison analysis, playfulness was derived as a core factor in all patterns. Based on these analysis results, this study provides academic basis for in-depth understanding of hotel customers' perception of contactless service and specific guidelines for hotel managers on the contactless service strategies in the era of COVID-19 pandemic.

• Journal of Korean Library and Information Science Society
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• v.52 no.3
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• pp.239-266
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• 2021

This study aimed to analyze the usage behaviors of university students seeking and sharing everyday life information through an online community called Everytime. The study was designed based on everyday life information-seeking and activity theory models, and students from various universities were interviewed using a qualitative research method. Findings showed that Everytime users perceive Everytime as a valuable online community for pursuing and sharing everyday life information. It was primarily used to search for university life information, such as academic calendar, class, and graduation, and health, restaurants, and housing. In the case of the freshmen and sophomores who entered during the COVID-19 pandemic, their dependence on Everytime was high, and juniors and seniors who experienced university life before COVID-19 also responded that Everytime is one of the essential sources of information in university life. Although Everytime provides quick and valuable information, users mentioned the moral hazard as a major factor hindering the active use of Everytime. The results of this study are expected to be used as primary data for informatics research on the online community of college students and the development and operation of online communities for university students.

• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.53-59
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• 2021

In this paper, we propose a BERGPT-chatbot, a domestic AI chatbot that can alleviate negative emotions based on text input such as 'Replika'. We made BERGPT-chatbot into a chatbot capable of mitigating negative emotions by pipelined two models, KR-BERT and KoGPT2-chatbot. We applied a creative method of giving emotions to unrefined everyday datasets through KR-BERT, and learning additional datasets through KoGPT2-chatbot. The development background of BERGPT-chatbot is as follows. Currently, the number of people with depression is increasing all over the world. This phenomenon is emerging as a more serious problem due to COVID-19, which causes people to increase long-term indoor living or limit interpersonal relationships. Overseas artificial intelligence chatbots aimed at relieving negative emotions or taking care of mental health care, have increased in use due to the pandemic. In Korea, Psychological diagnosis chatbots similar to those of overseas cases are being operated. However, as the domestic chatbot is a system that outputs a button-based answer rather than a text input-based answer, when compared to overseas chatbots, domestic chatbots remain at a low level of diagnosing human psychology. Therefore, we proposed a chatbot that helps mitigating negative emotions through BERGPT-chatbot. Finally, we compared BERGPT-chatbot and KoGPT2-chatbot through 'Perplexity', an internal evaluation metric for evaluating language models, and showed the superity of BERGPT-chatbot.

• Pediatric Infection and Vaccine
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• v.28 no.2
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• pp.66-81
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• 2021

The coronavirus disease 2019 pandemic has been continuously spreading throughout the world. As of July 15, 2021, there have been more than 188 million confirmed cases and more than 4.06 million deaths. Although the incidence of severe infections is relatively low in children and adolescents compared to adults, a complication called multisystem inflammatory syndrome in children (MIS-C) may occur in some cases at approximately 2-6 weeks after severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection. MIS-C can be seen in patients of various ages, from young infants to adolescents, and may present with diverse clinical manifestations. While fever present in a great majority of patients, symptoms suggesting the involvement of the digestive or nervous system and the skin and mucous membranes (Kawasaki disease-like symptoms) also appear in many cases. Cardiac involvement may also be observed, including left ventricular dysfunction, myocarditis, coronary artery dilatation, and coronary aneurysm. In some cases, hypotension or shock can occur, and mechanical ventilation or treatment in the intensive care unit may be necessary. Fortunately, recovery is generally reported after appropriate treatment. MIS-C is a rare but important complication of SARS-CoV-2 infection in children and adolescents. As such, it is important to recognize the clinical symptoms and provide appropriate treatment at an early stage. In this review, the epidemiology, clinical symptoms, suggested pathophysiology, diagnostic approach, and treatment of MIS-C will be discussed.

• The Korean Journal of Applied Statistics
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• v.34 no.1
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• pp.115-126
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• 2021

Central banks communicate with the market through a statement on the direction of monetary policy while implementing monetary policy. The rapid contraction of the global economy due to the recent Covid-19 pandemic could be compared to the crisis situation during the 2008 global financial crisis. In this paper, we analyzed the text data from the monetary policy statements of the Bank of Korea and Fed reflecting monetary policy directions focusing on how they were affected in the face of a global crisis. For analysis, we collected the text data of the two countries' monetary policy direction reports published from October 1999 to September 2020. We examined the semantic features using word cloud and word embedding, and analyzed the trend of the similarity between two countries' documents through a piecewise regression tree model. The visualization result shows that both the Bank of Korea and the US Fed have published the statements with refined words of clear meaning for transparent and effective communication with the market. The analysis of the dissimilarity trend of documents in both countries also shows that there exists a sense of synchronization between them as the rapid changes in the global economic environment affect monetary policy.