• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.77
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• pp.305-327
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• 2018

Export Intermediaries engage in an exporter's side transaction with an importer's side, both of which are customers of these intermediaries. Therefore, dyadic perspectives implied in conventional theories of customer orientation should be revised to apply to a triadic relationship systemin indirect export settings. The present manuscript proposed that customer orientation of export intermediaries consists of total customer orientation toward both the exporter and importer sides and customer orientation asymmetry, which is customer orientation in favor of the exporter relative to the importer side, and examines the antecedents and outcomes of these orientations. It is posited that each side attention increases total customer orientation and customer orientation asymmetry toward exporters or importers. These positive effects would be weaker when importers and exporters interact directly versus indirectly and would be stronger when the offering prices vary versus remain stable during negotiations. Lastly, total customer orientation would increase export intermediaries' performance by itself and in interaction with customer attention. Nonetheless, orientation asymmetry would increase their outcomes in line with customer attention.

• 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.

• International Commerce and Information Review
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• v.9 no.3
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• pp.131-149
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• 2007

E-tade has the potential to accelerate existing trends and introduce new ways of conducting traditional trade. The primary purpose of this research is to investigate performance factor and analyzes influence between performance of e-Trade and implementation of company. This research will be used as a basis for examining the actual results of e-Trade usage and export productivity. In order to facilitate the process, analysis began after a research prototype was created and research thesis established.

• International Commerce and Information Review
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• v.12 no.1
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• pp.271-295
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• 2010

In this study, we investigate the relationships among organizational market orientation, learning orientation, information technology(IT) support for firm resource, IT support for strategy, and balanced scorecard(BSC) performance in export firms. The development of the research model is based on the empirical studies of strategy and resource-based view. The data from the survey was analyzed using Partial Least Squares(PLS). The results from the empirical model suggest that IT support for firm resource is effected by market orientation and learning orientation. And, IT support for strategy is enhanced by IT support for firm resource. Finally, BSC performance of export firms is effected by IT support for strategy.

• International Commerce and Information Review
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• v.12 no.3
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• pp.311-332
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• 2010

This study investigate the effects of environmental and organizational characteristics on e-business competence and the influence of e-business competence on export performance in the small and medium sized firms. The development of the research model is based on the literature of e-business and the empirical studies of information technology competence. The data from the survey was analyzed using Partial Least Squares(PLS). The results from the empirical model suggest that e-business competence is affected by environmental uncertainty and market diversity as well as top management support and learning orientation. And, export performance is enhanced by e-business competence.

• Korea Trade Review
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• v.44 no.3
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• pp.73-84
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• 2019

This study focuses on previous research that explored the external knowledge reflecting the characteristics of SMEs and that should be considered because of the limited capacity of SMEs. This study examines the effects of open innovation and SMEs on export performance, focuses on government support as a way to supplement the limited capacity of SMEs, and analyzes the moderating effects of government support. An examination of 1,358 samples revealed that the breadth of external knowledge, depth of external knowledge, and government support had a significant impact on the export performance of SMEs. The effect of exploration of external knowledge (breadth and depth) of SMEs on the export performance of SMEs is significant both in breadth and depth when government support is provided, but only depth is significant when there is no government support.

• International Commerce and Information Review
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• v.17 no.1
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• pp.57-85
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• 2015

This paper is a study on export support system that a small company can make the export performance early in the overseas market and also can enhance international marketing capabilities. The model is solved to operational problems of the conventional export support program, and it contained a further support action to complement the weakness of the program. We want to create a Smart-Platform(Export Power Double Plus-Platform: EPDP)that we can improve the export capability of SMEs in the short term. The model will be very useful to export support agencies as an integrated support platform that supports the international marketing of the korean SMEs. And added some case studies of SMEs in Daejeon city.

• International Commerce and Information Review
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• v.10 no.2
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• pp.117-139
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• 2008

This study examines the determinants of trade show performance of export-oriented small and medium enterprises(SMEs). In this regard, the trade show performance is categorized into two dimensions, such as sales objective performance vs. non-sales objective performance Based on the analysis of 116 exporters participated in trade show held in DaeGu EXCO, it is found that the roles of the show organizers play more important roles in both the sales objective performance and the non-sales objective performance than the roles of the exhibitors do. It is also interesting to find that export experience has a negative influence on both the sales objective performance and the non-sales objective performance. These results suggest that trade show organizers should provide high service quality so as to enhance the trade show performance of exhibitors.

• Journal of Distribution Science
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• v.19 no.12
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• pp.83-89
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• 2021

Purpose: Purpose of this study is to empirically analyze influence of global competitive capability on global performance of distribution industry in South Korea. Also based on the empirical results, give managerial implication to distribution industry and contribute to academies of management. Research design, data and methodology: This study focuses on relationship analysis between global competitive capability and global performance. This study measured global competitive capability with three concepts; human capability, network capability and product/service capability. And measured global performance with export performance. To empirically analyze relationship between variables, this study used 2,316 data of GCL Test by KOTRA and Kdata. This study used SPSS26 and analyzed frequency, reliability, correlation and stepwise regression analysis. Results: Result shows that, in control variable, business period and business field give significant positive influence on export performance. Among antecedents, human capability and network capability give significant positive influence on export performance. However, product/goods/service was not significant. Due to significant influence of business field which is categorical variable. This study additionally analyze relationship by business field group to confirm whether relationship differ by group or similar. Conclusions: Based on the results, this study try to give implication to distribution industry management and contribute to academic.

• International Commerce and Information Review
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• v.17 no.2
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• pp.123-150
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• 2015

The present study examined the moderating influences of firm type(B2B, B2C) on the relationships between SMEs' utilization of government export assistance programs, firm capabilities(marketing & technology capabilities) and export performances(financial and strategic performances). The results of regression analyses on 247 B2B and 137 B2C cases showed that the positive influence of utilization of export assistance programs on financial performance was greater for B2B than for B2C SMEs. This construct, however, had no influence on strategic performance for neither B2B nor B2C cases. Further, both marketing and technology capabilities have positive influences on each of financial and strategic performances. Marketing capability, however, had a greater influence on financial performance for B2C than for B2B SMEs. Technology capability had a greater influence on financial performance for B2B than for B2C SMEs. Implications, limitations, and future studies were also discussed.