• Journal of Distribution Science
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• v.11 no.6
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• pp.31-40
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• 2013

Purpose - The Northeast Asian Logistic Hub strategy was established to create a national competitive advantage in northeast Asia. Countries in this region are competing fiercely to become the central base distribution port as the volume of container shipping continues to increase due to the northeast Asian (especially Chinese) economic growth. The primary method by which shippers are improving their customer service and distribution is enhancing profits by minimizing call ports on the key route through strategic affiliations and the use of large vessels. Each nation is planning large-scale investments in the construction of sea ports that can accommodate large vessels. This paper proposes ways by which the logistical strategies of domestic corporations can keep pace with changes in government policy concerning the Northeast Asian Business Hub policy. It examines the logistics system in the Northeast Asian region, analyzes the government's Northeast Asian Business Hub policy, and suggests logistical strategies for domestic corporations through an analysis based on a questionnaire designed to grasp domestic firms' needs and goals. Research design, data and methodology - The purpose of this study is to determine how shipping companies establish partnerships with third-party logistics providers and draws out the implications of the results. The survey methods used were personal interviews and questionnaires distributed to a sample population through e-mail, fax, mail, and telephone. A total of 600 questionnaires were distributed, of which 165 were returned. Among these, ten were excluded due to insufficient content; ultimately, 155 were used for the sample. The statistical data collection process was analyzed through data coating and a statistical package program. Results - This study argues that greater flexibility in policies, administration, and systems will be needed to significantly improve established business practices. In this dissertation, we primarily identify that in order to become a center of northeast Asian logistics, Korea must adopt a new paradigm and abandon the existing systems that are based on the economic and social systems that have stemmed from bureaucracy, inflexibility, chauvinism, and equalitarianism. Flexible policies, administration, and systems will be necessary to improve business practices. Domestic corporations must establish a strategic logistics hub and related network while simultaneously pursuing value-added logistics businesses by increasing their manpower and building a logistics information system. This will strengthen their competitive edge and lead to system improvements. Conclusions - Domestic corporations must adopt a new paradigm and use more reasonable business laws, systems, and policies that are based on market-driven flexibility and transparency. Moreover, social norms and regulations should be established to help ensure political and social security. Korea must also develop a culture of tolerance for foreign companies. Finally, the paradigm defining the policy governing the development of the capital city and its satellite cities in this context must be changed.

• Management & Information Systems Review
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• v.33 no.1
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• pp.157-172
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• 2014

This study examines the relationships between TMT's characteristics - international education background ratio, international job experience ratio, international related professionals ratio- and the degree of firm's internationalization. It also examines the moderating effect of independent board on those relationships. The results of multiple regression analysis show that the ratio of TMT's foreign job experience is positively related to firm's internationalization. On the other hand, both international education background ratio and international related professionals ratio do not significantly related to firm's internationalization. Regarding the moderating effects. independent boards weaken the positive relationship between TMT's foreign education background ratio and firm's internationalization. Whereas they strengthen the positive relationship between TMT's international education background ratio and firm's internationalization. The findings of this study imply that Chinese firms should consider the interaction effects between the TMT and board on their decisions of internationalization.

• Management & Information Systems Review
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• v.36 no.5
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• pp.99-120
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• 2017

Recent studies shows that international entrepreneurship orientation is recognized as a very important tool for improving corporate performance in international business activities. However, these relationships show various research results. Therefore, it can be a very interesting research topic to examine whether these relationships are linear or non-linear when selected as a target in developing country like China. The purpose of this study is to examine whether the effects of international entrepreneurship orientation on the export performance is non-liner type in China's manufacturing firms. And investigated the moderating role of degree of internationalization and market dynamism relative to the relationship between the international entrepreneurial-orientation and the export performance. A total of 478 questionnaires were used for the hypothesis test. The results of this study are summarized as follows: First, there is a J-shaped. relationship between international entrepreneurship orientation and export performance. Second, degree of Internationalization strengthened the reverse J-shaped relationship between international entrepreneurship orientation and export performance. Finally, degree of internationalization and market dynamics show that J-shaped relationship between international entrepreneurial orientation and export performance is strengthened. The results of the study's theoretical contribution and the managerial contribution is as followed. As a theoretical contribution, it is confirmed that international entrepreneurial orientation (J-shaped) and export performance form a non-linear relationship, and it is possible to make an empirical contribution that can newly approach the relationship between international entrepreneurial orientation and export performance. The managerial contribution suggests that China's exporting companies have a higher degree of Internationalization in their international business activities and that the higher the dynamics of the overseas markets, the more advanced the international entrepreneurial behavior should be required to improve the export performance.

• Journal of Korea Port Economic Association
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• v.25 no.1
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• pp.191-222
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• 2009

The third party logistics is a new developing industry in China and is still in infancy stage. China's third party logistics market only represents 3.39% of the Logistics market in 2006. As international multinational corporations have taken part in China market, they use their current 3PL providers to assist them to deal with the substantial logistics issues that exist in expanding their business activities in China. Traditional 3PL services such as transportation, warehousing and customs clearance are main in China's 3PL market. A variety of domestic laws and regulations on logistics in China prevent 3PL Providers from supplying value-added additional services to their users. Chinese firms have not yet supply high value-added services in China's 3PL logistics market. The purpose of this paper is to contribute the activation of third party logistics in China by analyzing the present situations, and presenting the solutions to problems of Third-Party Logistics in China.

• Journal of Intelligence and Information Systems
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• v.22 no.1
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• pp.187-204
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• 2016

Document classification based on emotional polarity has become a welcomed emerging task owing to the great explosion of data on the Web. In the big data age, there are too many information sources to refer to when making decisions. For example, when considering travel to a city, a person may search reviews from a search engine such as Google or social networking services (SNSs) such as blogs, Twitter, and Facebook. The emotional polarity of positive and negative reviews helps a user decide on whether or not to make a trip. Sentiment analysis of customer reviews has become an important research topic as datamining technology is widely accepted for text mining of the Web. Sentiment analysis has been used to classify documents through machine learning techniques, such as the decision tree, neural networks, and support vector machines (SVMs). is used to determine the attitude, position, and sensibility of people who write articles about various topics that are published on the Web. Regardless of the polarity of customer reviews, emotional reviews are very helpful materials for analyzing the opinions of customers through their reviews. Sentiment analysis helps with understanding what customers really want instantly through the help of automated text mining techniques. Sensitivity analysis utilizes text mining techniques on text on the Web to extract subjective information in the text for text analysis. Sensitivity analysis is utilized to determine the attitudes or positions of the person who wrote the article and presented their opinion about a particular topic. In this study, we developed a model that selects a hot topic from user posts at China's online stock forum by using the k-means algorithm and self-organizing map (SOM). In addition, we developed a detecting model to predict a hot topic by using machine learning techniques such as logit, the decision tree, and SVM. We employed sensitivity analysis to develop our model for the selection and detection of hot topics from China's online stock forum. The sensitivity analysis calculates a sentimental value from a document based on contrast and classification according to the polarity sentimental dictionary (positive or negative). The online stock forum was an attractive site because of its information about stock investment. Users post numerous texts about stock movement by analyzing the market according to government policy announcements, market reports, reports from research institutes on the economy, and even rumors. We divided the online forum's topics into 21 categories to utilize sentiment analysis. One hundred forty-four topics were selected among 21 categories at online forums about stock. The posts were crawled to build a positive and negative text database. We ultimately obtained 21,141 posts on 88 topics by preprocessing the text from March 2013 to February 2015. The interest index was defined to select the hot topics, and the k-means algorithm and SOM presented equivalent results with this data. We developed a decision tree model to detect hot topics with three algorithms: CHAID, CART, and C4.5. The results of CHAID were subpar compared to the others. We also employed SVM to detect the hot topics from negative data. The SVM models were trained with the radial basis function (RBF) kernel function by a grid search to detect the hot topics. The detection of hot topics by using sentiment analysis provides the latest trends and hot topics in the stock forum for investors so that they no longer need to search the vast amounts of information on the Web. Our proposed model is also helpful to rapidly determine customers' signals or attitudes towards government policy and firms' products and services.