• 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.

• Journal of Korea Society of Industrial Information Systems
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• v.24 no.3
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• pp.31-38
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• 2019

In this paper, we design a green supply chain (gSC) network model. For constructing the gSC network model, environmental and economic factors are taken into consideration in it. Environmental factor is to minimize the $CO_2$ emission amount emitted when transporting products or materials between each stage. For economic factor, the total cost which is composed of total transportation cost, total handling cost and total fixed cost is minimized. To minimize the environmental and economic factors simultaneously, a mathematical formulation is proposed and it is implemented in a genetic algorithm (GA) approach. In numerical experiment, some scales of the gSC network model is presented and its performance is analyzed using the GA approach. Finally, the efficiencies of the gSC network model and the GA approach are proved.

• 한국IT서비스학회:학술대회논문집
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• 2006.05a
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• pp.78-87
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• 2006

본 연구에서는 가상커뮤티니 성과의 영향요인들에 관하여 보다 포괄적이고 객관적으로 파악할 수 있도록 (1)가상커뮤니티 성과의 영향요인에 관한 현재까지의 대부분의 연구에 대한 이론적 고찰을 통해 (2)가상커뮤니티 성과의 영향요인에 관한 12개의 변수와 51개의 측정지표를 도출하였으며, (3)가상커뮤니티 사용자들에 대한 설문조사와 Lisrel 분석을 통하여 도출된 연구모형을 실증적으로 검증하였다.

• The Journal of Korean Association of Computer Education
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• v.20 no.2
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• pp.35-45
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• 2017

Factors influencing the attitude towards the use of robot-based instruction in special education are explored using the technology acceptance model (TAM). Their interrelatedness is also analyzed. Research data were obtained via a questionnaire survey of elementary, middle, and high school special education teachers in North Chungcheong Province. The results reveal that three factors influence the attitude towards using robot-based instruction in special education: perceived usefulness, perceived ease of use, and social influence. Of these, perceived usefulness exerts the strongest influence. Perceived ease of use was found to be influenced by personal innovation and social influence, and perceived usefulness is influenced by perceived ease of use and personal innovation. Efforts should be made to induce a receptive attitude towards the use of robot-based instruction among teachers for its stable acceptance.

• Journal of Venture Innovation
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• v.3 no.1
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• pp.117-142
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• 2020

The purpose of this study is to explore the factors affecting the 6th industry experience by Schmitt experience model. The newly introduced variables are the cognitive experience, emotional experience, and social experience that are reconstructed based on Schmitt's experience theory and gender, family as a moderrating variable and trust as a mediation variable. In addition to experience intention. The hypothesis was set as follows. the experience factors that are the cognitive factor, the emotional factor, and the social factor will have a positive(+) influence on the intention to experience. Mooring factors will have a negative(-) effect on intention to experience. For statistical analysis, SPSS 24 and AMOS 23 statistical packages were used to test the research hypothesis. The research was based on 320 questionnaire data and tested by 314 valid responses were analyzed. As a result of the research, First, cognitive, emotional, and social factors had positive(+) effects on experience intention. Among the factors that directly affect the experience intention, the magnitude of influence appeared in the order of cognitive factors > social factors > emotional factors > mooring factors. Second, mooring factors have negative(-) effects on experience intention. Third, Trust has been partially influenced by factors of attraction, cognitive, emotional, and social. Fourth, there are significant statistical differences between men and women in cognitive and mooring factors in the path differences. Fifth, Social factors and mooring factors differed significantly in the composition of the household. Social factors with significant differences in path analysis have also been statistically demonstrated. The results of this study are academically verified that the cognitive, emotional, and social factors have an important influence on the experience intention in the 6th industry experience and the Schmitt's experience model proposed in this study is useful framework of analysis. In practical terms, it could provide implications for what factors should be strategically and marketingly focused to activate the 6th industry experience.

• Proceedings of the Korea Water Resources Association Conference
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• 2004.05b
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• pp.1057-1061
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• 2004

본 연구에서는 준분포형 지표수 유출모형인 SWAT과 3차원 지하수 유동모형인 MODFLOW의 완전연동형 결합모형을 독자적으로 개발했다. SWAT의 지하수 모형성분은 집중형이므로 분포형 매개변수와 변화하는 양수량, 지하수위의 변화등을 고려하지 못하며 MODFLOW모형은 주요 입력자요인 함양량의 정확한 산정이 어렵다. 두 프로그램의 연결작업은 지하수 함양량의 전달과정과 하천네트워크-대수층간의 상호작용을 고려하여 완성하였으며 경안천유역의 오산천 소유역에 모형을 시험구동을 수행했다. 시험구동결과 결합모형은 수문모형 혹은 지하수 모형만으로는 해결되지 않는 하천-대수층간의 경계유량을 고려한 유출해석이 가늠해짐으로써 유역내 지하수 유출량 및 총 유출량의 신뢰성이 증대될 것으로 기대된다.

• Information Systems Review
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• v.17 no.3
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• pp.159-181
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• 2015

This study proposes a comprehensive model of purchasing intention of customers in agricultural products online shopping malls. In this study, we derived the factors through the literature reviews and logical reasoning and classified the factors as a business point of view, an information systems point of view and an agricultural characteristics point of view, and developed the integrated research model which is the factors affect purchase intentions by mediating trust and the perceived usefulness. A total of 329 samples of a valid survey data from the members of small agricultural online shopping malls were collected and the research model was empirically analyzed by a confirmatory factor analysis and path analyses using structural equation modeling with the data. The results show that the product quality and the service quality of the business point of view have effects on the trust, however the price adequacy and entertainment have no effect on the trust and the perceived usefulness respectively, also the advertising exposure has no effect on the trust but it has an effect on the purchase intention directly. The information quality and the ease of use of the information systems point of view have an effect on the trust and perceived usefulness. At last, the seasonal product of the agricultural characteristics point of view has effects on perceived usefulness but the regional brand has no effect on the trust. The results of this study provide strategic implications for successful development and operation of agricultural products online shopping malls.

• Journal of Korea Water Resources Association
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• v.48 no.6
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• pp.439-449
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• 2015

In this study, reliable future runoff projections based on RCPs for Yongdam dam watershed was performed using SWAT model, which was validated by k-fold cross validation method, and investigated the factors that cause the differences with respect to runoff projections between this study and previous studies. As a result, annual average runoff compared to baseline runoff would increase 17.7% and 26.1% in 2040s and 2080s respectively under RCP8.5 scenario, and 21.9% and 44.6% in 2040s and 2080s respectively under RCP4.5 scenario. Comparing the results to previous studies, minimum and maximum differences between runoff projections over different studies were 10.3% and 53.2%, even though runoff was projected by the same rainfall-runoff model. SWAT model has 27 parameters and physically based complex structure, so it tends to make different results by the model users' setting. In the future, it is necessary to reduce the cause of difference to generate standard runoff scenarios.

• Journal of Information Management
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• v.40 no.2
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• pp.47-70
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• 2009

This study is a exploratory research to develop standard measurement for service quality of public libraries through extracting common factors for them. It suggests that service quality of public libraries can be divided into three primary dimensions interaction of personnel, library resources and programs, physical environment and facilities and each dimensions be several sub-dimensions. It also suggests a third-order factor mode for public libraries' service quality based on the above dimensions and testifies it through exploratory factor analysis and confirmatory factor analysis.

• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.3
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• pp.68-77
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• 2011

Flood disasters on the metropolis where population and facilities were densely concentrated cause an enormous damage, therefore it is important to find risk and vulnerable area for floods, and then mid-long term disaster reduction plan should be established by the results. However, there is no rational method which reflects urban characteristics to estimate the regional safety for flood. so it is necessary to develop the standardized method of regional safety assesment due to urban flood. The proposed regional safety assesment model in this study was combined risk and mitigation score which consisted of three and two element, and 12 assesment factors which effect flood disasters were selected. And then the integrated regional safety was estimated by subtracting mitigation score from risk score. GIS tool was used to estimate the factor assesment and integrated regional safety. Developed regional safety assesment model was applied in Seoul to evaluate the suitability.