• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.565-575
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• 2021

This study was attempted to establish a model to investigate the relationship between career decision self-efficacy, department satisfaction, and job preparing stress of college students and to investigate the relationship between these factors. The subjects of this study were 355 college students aged 18 years or older in G-do, and the collected data were analyzed using the SPSS/WIN 24.0/AMOS 24.0 program. The fit index of the structural regression model met the acceptance criteria (χ²/df=2.89, SRMR=.04, RMSEA=.07, CFI=.96, TLI=.95). As a result of the study, first, it was found that career decision self-efficacy and department satisfaction directly affect job stress. Second, career decision self-efficacy was found to directly affect department satisfaction. Third, career decision self-efficacy was found to have an indirect effect on job stress through department satisfaction. Of the two variables influencing job stress, department satisfaction was found to have a greater relative influence on job preparing stress. Based on these research results, it is necessary to develop a strategy to increase career decision self-efficacy and department satisfaction, which has been found to affect job stress in order to reduce job preparing stress of college students.

• Journal of Intelligence and Information Systems
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• v.27 no.4
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• pp.23-48
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• 2021

The Korean economy has achieved continuous economic growth for the past several decades thanks to the government's export strategy policy. This increase in exports is playing a leading role in driving Korea's economic growth by improving economic efficiency, creating jobs, and promoting technology development. Traditionally, the main factors affecting Korea's exports can be found from two perspectives: economic factors and industrial structural factors. First, economic factors are related to exchange rates and global economic fluctuations. The impact of the exchange rate on Korea's exports depends on the exchange rate level and exchange rate volatility. Global economic fluctuations affect global import demand, which is an absolute factor influencing Korea's exports. Second, industrial structural factors are unique characteristics that occur depending on industries or products, such as slow international division of labor, increased domestic substitution of certain imported goods by China, and changes in overseas production patterns of major export industries. Looking at the most recent studies related to global exchanges, several literatures show the importance of cultural aspects as well as economic and industrial structural factors. Therefore, this study attempted to develop a forecasting model by considering cultural factors along with economic and industrial structural factors in calculating the import volume of each country from Korea. In particular, this study approaches the influence of cultural factors on imports of Korean products from the perspective of PUSH-PULL framework. The PUSH dimension is a perspective that Korea develops and actively promotes its own brand and can be defined as the degree of interest in each country for Korean brands represented by K-POP, K-FOOD, and K-CULTURE. In addition, the PULL dimension is a perspective centered on the cultural and psychological characteristics of the people of each country. This can be defined as how much they are inclined to accept Korean Flow as each country's cultural code represented by the country's governance system, masculinity, risk avoidance, and short-term/long-term orientation. The unique feature of this study is that the proposed final prediction model can be selected based on Design Principles. The design principles we presented are as follows. 1) A model was developed to reflect interest in Korea and cultural characteristics through newly added data sources. 2) It was designed in a practical and convenient way so that the forecast value can be immediately recalled by inputting changes in economic factors, item code and country code. 3) In order to derive theoretically meaningful results, an algorithm was selected that can interpret the relationship between the input and the target variable. This study can suggest meaningful implications from the technical, economic and policy aspects, and is expected to make a meaningful contribution to the export support strategies of small and medium-sized enterprises by using the import forecasting model.