• Journal of Information Technology Applications and Management
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• v.19 no.4
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• pp.171-184
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• 2012

We suggest that cultural differences among nations should have a significant impact upon the exports of Korean broadcasting contents due to the fact that production and consumption of the contents are influenced by their own cultural aspects. Based on Hofstede's cultural dimensions frequently cited in the literature, we perform empirical analysis to identify the impact of cultural dimensions upon the export amounts by investigating four-year export data of Korean broadcasting industry. In our research model, Hofstede's cultural dimensions and GDP per capita are independent variables and a genre of broadcasting contents is used as a moderating variable. We find in our analysis that three cultural dimensions such as individualism, uncertainty avoidance, masculinity significantly affect the export amount but do not find the impact of power distance.

• The Journal of Economics, Marketing and Management
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• v.8 no.1
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• pp.36-49
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• 2020

Purpose - This study investigates factors that affected the utilization of trade support policies and further analyzed how the utilization of trade support policies affected export performance. Research design, data, and methodology - With a sample of 223 small and medium-sized export firms from South Korea, this study examines the determinants of the utilization level of trade support system such as export market orientation, learning orientation, network capability and environmental uncertainty by regression analysis. Results - Export market orientation have a positive effect on the utilization of the trade support system and there is positive relationship between learning orientation and the utilization of trade support system. And network capabilities have had a positive impact on the utilization of the trade support system but there is no relationship between environmental uncertainty and the utilization of trade support system. The utilization of the trade support system had a positive effect on export performance. Conclusions - The internal and external factors of the organization have affected small and medium-sized export firms use of trade support systems. The utilization of trade support system can enhance positive export performance by providing valuable information and resource to external knowledge and also to complementary resources from the external partners.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.2
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• pp.143-151
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• 2023

Expanding exports of small and medium-sized companies is crucial for the continuous growth of the Korean economy. Therefore, the government operates various support systems to enhance the export capabilities of these companies. This study aims to analyze the impact of the Korean government's flagship export support system, known as the export initiation support system, on the performance of participating domestic companies. A fixed effect model using panel data was applied to examine the characteristics of 11,099 companies that participated in the export initiation support system from 2016 to 2019. The analysis revealed that the number of exporting countries, employees, and previous export volume had a significant impact on the export amount of participating companies. However, contrary to expectations, the number of overseas marketing participation and the GCL (global competence level) test did not show a significant impact. This study is significant as it provides implications for the development of support projects tailored to the specific needs of small and medium-sized companies, with the goal of improving the export support system.

• Korea Trade Review
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• v.47 no.4
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• pp.103-124
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• 2022

For venturing into international markets, small and medium enterprises (SMEs) have not only emphasized internal resources but entrepreneurial orientation has also become the need of the day due to its significant role in increasing firm's competitive capabilities. Although research indicates that the competitive strategies can significantly impact export performance, minor attention is given to the relationship between entrepreneurial orientation, business competitive strategy and export performance of small and medium enterprises (SMEs). This study scrutinizes the effect of each dimension of entrepreneurial orientation (i.e., innovativeness, risk-taking, and proactiveness) and each of generic competitive strategies (i.e., cost leadership and differentiation) on the export performance of Chinese SMEs. And we investigated the moderating effect of entrepreneurial orientation on the relationship between the competitive strategies and export performance. We surveyed 217 Chinese SMEs through a structured questionnaire. For the data analysis and hypotheses testing, we used AMOS. 27. The findings display that differentiation and cost leadership strategies significantly improve export performance. The innovativeness, risk-taking and proactiveness also spur Chinese SME's export performance. Further we find that adding entrepreneurial orientation significantly improves our model of the relationship between the competitive strategies and export performance. Thus, our study extends the entrepreneurial orientation literature and provides interesting new insights into how entrepreneurial orientation helps firms create more successful export operations.

• KDI Journal of Economic Policy
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• v.43 no.4
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• pp.1-21
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• 2021

This paper aims to investigate whether there is empirical evidence supporting the learning-to-export hypothesis, which has received little attention in the literature. By taking full advantage of plant-product level data from Korea during 1990-1998, we find some evidence for the learning-to-export effect, especially for the innovated product varieties with delayed exporters: their productivity, together with research and development and investment activity, was superior to their matched sample. On the other hand, this learning-to-export effect was not significantly pronounced for industries protected by import tariffs. Thus, our empirical findings suggest that it would be desirable to implement certain policy tools to promote the learning-to-export effect, whereas tariff protection is not justifiable for that purpose.

• Korea Trade Review
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• v.47 no.6
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• pp.173-187
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• 2022

Since the economic reform 1991, Indian has been implementing policies to promote trade and foreign direct investment (FDI). In particular, since the inauguration of the Modi government in 2014, India has created an economic environment in which more FDI can be launched and more jobs created in manufacturing sector. This study aims to analyze between FDI outflows and export from Korea to India. Using the quarter data from 2000 to 2021, this study examines panel regression. From the panel regression result, Korea's FDI outflows to India has a significantly positive impact on the Korea's export into India. Therefore, the relationship between FDI outflows and export from Korea to India is complementary. It is due that Korea's companies invest into India directly for the purpose of construction of production factors, and export capital goods and intermediate goods for producing in the factors. Therefore, for promoting FDI and export between Korea and India, Korean government should do continuous economic cooperation and discussion for the cooperation with Indian government.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.235-243
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• 2022

This paper aims to find promising export items for market expansion of defense export items. Germany, the UK, and France were selected as export target countries to obtain unstructured forecast data on weapons system acquisition plans for the next ten years by each country. Using the TF-IDF in text mining analysis, keywords that appeared frequently in data from three countries were derived. As a result of this paper, keywords for each country's major acquisition projects drawing. However, most of the derived keywords were related to mainstay weapon systems produced by domestic defense companies in each country. To discover promising export items from text mining, we proposed that the drawn keywords are distinguished as similar weapon systems. In addition, we assort the weapon systems that the three countries will get a plan to acquire commonly. As a result of this paper, it can be seen that the current promising export item is a weapon system related to the information system. Prioritizing overseas demands using key words can set clear market entry goals. In the case of domestic companies based on needs, it is possible to establish a specific entry strategy. Relevant organizations also can provide customized marketing support.

• Asian Journal of Business Environment
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• v.13 no.1
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• pp.31-41
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• 2023

Purpose: This study purposes to analyze the determinants of the volume of Indonesian tuna exports. Research design, data and methodology: The framework was developed from the gravity model for trade, which was expanded with additional variables of competitiveness, exchange rate, and industrial share of the destination country. The data sources used in this study are UN Comtrade and the World Bank. The data used is yearly data from 12 countries in 2001-2019. The scope of the study is limited to exports to the twelve main export destinations. Panel data regression analysis is used to determine the factors that affect the volume of Indonesian tuna exports. Results: The results show that according to the theory, Indonesia's GDP has a positive effect and economic distance has a negative effect on the volume of the exports. Meanwhile, the GDPs of the destination countries are not proven to have a positive effect. However, the higher the industrial share in the country, the higher the export volume tends to be. Conclusions: The conclusion obtained from this study is that Indonesia's GDP, economic distance, real exchange rate, industrial GDP share of the destination country, and the RCA index affect the volume of Indonesian tuna exports.

• Journal of Distribution Science
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• v.18 no.12
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• pp.15-29
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• 2020

Purpose: Due to an ever more interconnected global commercial environment, the role of SMEs from emerging markets has attracted considerable attention in business literature of late. Reinforced by strategic management theory, this study builds on aspects such as entrepreneurial orientation and dynamic capabilities to construct and test a framework that focuses on exploring their associations with export performance. Research design, data and methodology: To contribute further towards a deeper understanding of these markets, the current study empirically tests a model using data collected from 225 exporting firms located throughout South Africa. Results: The results from the data analysis show that entrepreneurial orientation contributes significantly towards improving the performance of South African SMEs. Additionally, this study integrates three dynamic capabilities in the strategy-performance relationship to test their interacting effects on the correlation between entrepreneurial orientation and export performance. Further findings advocate support for relationship-based capabilities playing a moderating role between entrepreneurial orientation and the exporting performance of small and medium firms emanating from emerging markets. Conclusions: Findings provide substance to the argument that entrepreneurship, as a strategy-making process, leads to export performance in emerging nations. Especially, this study provides several suggestions as to how small and medium-sized organizations can develop their exporting performance based on the research findings.

• Korea Trade Review
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• v.46 no.6
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• pp.191-209
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• 2021

In this paper, various time series analysis models and machine learning models are presented for long-term prediction of export growth rate, and the prediction performance is compared and reviewed by RMSE and MAE. Export growth rate is one of the major economic indicators to evaluate the economic status. And It is also used to predict economic forecast. The export growth rate may have a negative (-) value as well as a positive (+) value. Therefore, Instead of using the ReLU function, which is often used for time series prediction of deep learning models, the PReLU function, which can have a negative (-) value as an output value, was used as the activation function of deep learning models. The time series prediction performance of each model for three types of data was compared and reviewed. The forecast data of long-term prediction of export growth rate was deduced by three forecast methods such as a fixed forecast method, a recursive forecast method and a rolling forecast method. As a result of the forecast, the traditional time series analysis model, ARDL, showed excellent performance, but as the time period of learning data increases, the performance of machine learning models including LSTM was relatively improved.