• Journal of Korea Port Economic Association
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• v.30 no.2
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• pp.133-143
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• 2014

The paper uses a panel gravity model to analyse the determinants of export via Gwangyang port for the period from 2000-2012. The gravity model includes export via Gwangyang port, GDP and population of trading partners, the distances between Korea and its partners, and Korea-ASEAN FTA dummy. Hausman test shows up which one is exactly appropriate between random effect estimation and fixed effect estimation to use panel dataset. It depends on whether or not existence or nonexistence of the correlation between unobserved omitted factors and variables. Fixed effect estimation is suitable for this paper by the rejection of null hypothesis. An Empirical analysis of this paper shows GDP influences positive effects and distance influences negative effects to Gwangyang port trading partners. In addition, the results strongly supported the effects of Korea-ASEAN FTA on the growth of Gwangyang port export.

• The Southeast Asian review
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• v.27 no.4
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• pp.41-76
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• 2017

This paper analyses the market shares and the export similarity indexes (ESI) of Korea, Japan and China in ASEAN, and then identifies the determinants of Korea's exports to ASEAN countries using single equation cointegration approaches, such as fully modified OLS (FMOLS), dynamic OLS (DOLS), and canonical cointegration regression (CCR). Various regression results are as follows: As expected, Korea's real exports tend to increase as importing country's GDP grows. The competing third country's currency depreciation affects Korea's exports differently from country to country. Most notably, it doesn't significantly affect Korean exports in Malaysia, Indonesia and Thailand. These results suggest that bilateral or third country exchange rates are not that important or decisive factors to determine Korea's exports to ASEAN countries in the long-run while economic growth in ASEAN countries matters most.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.5
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• pp.31-40
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• 2016

This paper is to set up the autoregressive distributed lag model in order to estimate factor elasticities of the service export in the medical and healthcare service industry and to analyze the determinants for its export performance during 1975-2015. The empirical results suggest that industrial markup, exchange rate, and interest rate have had more decisive effects on the industrial export performance in the medical and healthcare service industry, in particular, during the declining period in factor prices since the foreign currency crisis beginning in late 1997.

• Management & Information Systems Review
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• v.37 no.2
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• pp.209-233
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• 2018

This study investigates the question of how political and economic factors may affect the export of renewable energy technologies. The relationships are tested using panel data for 19 OECD member countries over the period 1992-2012. Before establishing the empirical model, the current study checks the characteristics of the panel data, which includes various panel framework analyses, such as tests for the presence of normality, structural breaks, first-order autocorrelation, heteroscedasticity, cross-sectional dependence, panel unit-root. From the panel framework analyses, a dynamic panel model is established to test the relationship between the variables examined in this study. In order to reduce the bias of the estimation of the dynamic panel model and obtain efficient parameters, this study uses the bias-corrected least square dummy variable(LSDVC) estimator to estimate the empirical model. The results of this study show that governmental policies expressed as coercive pressure and market size positively affect the export growth of renewable energy technologies. However, public pressure and traditional energy industry have no significant effects on export performance. Policy implications are presented based on the results of this study.

• International Commerce and Information Review
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• v.18 no.3
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• pp.155-179
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• 2016

The rapid changing technology and globalization allow consumers get information and new products or services faster, have more choices than before, which might be causing more competitive and more uncertain demand. The relationship quality between enterprises positively influence the relational performance. Through this research, enterprises should realize the importance of relationship learning to improve the competitive advantage. Also this research provide the strategic solutions to promote the relationship learning. this is considered to be able to present an improved directionality of the relationship between the buyer and the supplier. In addition, from the perspective of policy, this research provides implications for large enterprises and SMEs to promote their coexistence relation. The empirical model of this paper is established on basis of previous research. The empirical results show that: first, as the influence factors, relation solidarity level, environmental uncertainty, learning intension affect relationship learning, whilst special transaction assets influence information shared and relationship memory and have no effect on mutual understanding; second, relationship learning influence on relational performance and this influence relation becomes stronger if the relationship trust is higher.

• International Commerce and Information Review
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• v.14 no.3
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• pp.307-322
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• 2012

The purpose of this paper is to examine determinants of export to the East Asia region, using panel unit root, panel cointegration framework, panel VECM (vector error correction model), panel FMOLS (fully modified OLS). Different panel unit root tests confirm that the data series are integrated processes with unit roots. When applying cointegration tests to long-run effect for aggregate panel data, a primary concern is to construct the estimators in a way that does not constrain the transitional dynamics to be similar among different countries of the panel. The regression equations are estimated by various panel cointegration estimators. The panel data causality results reveal that exchange rates has unidirectional effects on export and GDP, and there exists bidirectional causality between export and GDP. Also, the results from the panel FMOLS tests overwhelmingly reject the null hypothesis of zero coefficient. The panel cointegrating vectors show that the export has positive relationship with the GDP and ODI (overseas direct investment).

• International Commerce and Information Review
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• v.14 no.3
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• pp.139-158
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• 2012

FTA is one of the most important trade policies for the motor car industry. Due to the large amount of employment and production the motor car industry provides in a country, in a lot of cases, the protective trade policies that countries employ are targeted for the motor car industry. In this point of view, it can be said that the Latin American FTA strategy such as the 'Korea-Columbia FTA', 'Korea-Peru FTA' and 'Korea-Chile FTA' has a large influence in the development of Korea's car industry. This paper analyses changes in factors influencing car export before and after the signing of the Korea-Chile FTA to forecast the export of motor cars to Latin America and aims to propose an action plan. Research shows that out of the variables 'exchange rate', 'GDP', and 'oil price, 'GDP' showed a strong corelation with export before and after the FTA. Regression analysis also showed that only 'GDP' has an impact on export rates and that its impact is most highest after the exhibition of FTA's effects. This suggests that FTA has an important effect in motor car export to Latin America but export is also strongly interlocked with the local country's economic condition which highlights the requirement for an action plan such as the establishment of local production systems.

• The Journal of Society for e-Business Studies
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• v.10 no.2
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• pp.133-150
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• 2005

Electronic Trade is dramatically changing classical international trade paradigms. In particular, under the new economic environment, the ability to utilize and Information Technologies such as Electronic Data Interchange, Web-based EDI, ebXML, web service, Internet are emerging as an important factor in deciding the competitiveness of export business. The primary purpose of this study is (1) to investigate motivation factors and performance factors of electronic trade, (2) to show the relationship between motivation factors and the level of the utilization of e-trade, (3) to reveal the relationship between the level of the utilization and performance factors of e-trade. Analysis of survey questionnaire of Korean middle and small companies indicates the following : (1) motivation factors such as cost factor, education and promotion and the search of new market, have positive effect on the level of utilization of e-trade. (2) the level of utilization of e-trade has positive effect on the performance factors such as cost factor, the search of new market, the improvement of task process.

• Proceedings of the KAIS Fall Conference
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• 2010.11b
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• pp.870-873
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• 2010

본 연구는 국내 Born Global Firm의 기술요인들이 해외신규시장 진입시기에 미치는 영향에 관한 연구모형을 제시하고, 국내 Born Global Firm을 대상으로 이에 대한 인과관계를 실증 분석하였다. 기존의 해외시장 진입시기에 관한 선행연구를 토대로 기술경쟁력, R&D 네트워크, R&D 정보력을 독립변수로 설정하고, 이러한 요인이 Born Global Firm의 해외신규시장 진입시기에 영향을 미칠 것이라는 가설을 설정하였다. 기존 선행연구를 통하여 기술경쟁력의 대용변수로 지적재산권, R&D 투자비용, R&D 전담기구 기능을, R&D 네트워크는 부서간 협력, 국내외 공동연구, R&D 정보력은 R&D 관련 정보 수집능력(경쟁업체 R&D 동향정보, 관련 주요연구자 정보 등), R&D 관련 정보 분석능력(기술이슈 및 트렌드 분석, 기술수준 분석 등), R&D 정보 활용능력(R&D 기획, 응용 분야 확장 등) 등을 사용하고 기업 내부요인과 수출관련에 대한 가설을 설정하였다. 특히, 해외시장 진입형태 중 FDI, 계약에 의한 해외시장진입 보다는 국내에서 가장 많은 해외진입 형태인 수출에 초점을 맞추었다. 연구결과는 다음과 같다. 국내 107개의 Born Global Firm을 대상으로 다중회귀분석 한 결과, Born Global Firm의 직접수출에 가장 큰 영향을 주는 요인으로는 지적재산권과, 부서간 협력, R&D 정보 활용능력 등으로 나타났다. 특히 기술이슈 및 트렌드 분석 정보력은 해외시장 진입시기를 앞당기는 것으로 나타났다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.3
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• pp.740-747
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• 2004

This research aims at investigating what the determinant factors for the use of web based logistic are and if it enhances the cost reduction and consumer satisfaction for Korean medium sized exporting firms. Furthermore I investigate if there are the interaction effects between the web based logistics and its determining factors on cost reduction and consumer satisfaction. The empirical results show that CEO' s innovativeness, exporting region, exporting share play significant roles in using the web based logistics. Moreover, the web based logistics improve the cost reduction and consumer's satisfaction. The result of two-way variance analysis indicates that there are the interaction effects between CEO's innovativeness, firm size, the activeness of information use and use of the web based logistics on the logistics performances.