• Korean Journal of Labor Studies
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• v.24 no.2
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• pp.367-408
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• 2018

This study examines the features of globalization process in GM and Hyundai Motors, especially in the expansion into China auto market, through a joint venture(hereafter JV) research center. Due to the large scale market in China and the 50:50 JV, the two companies had to respond in some way to the Chinese government's request for localization of research and development functions, and their response affected the role of the JV research center. Even though the improvement in technological capability expected from the JV by the Chinese side did not appear well in the early stage in both JV, but relatively the Shanghai GM JV research center had a technological progress compared to the Beijing Hyundai JV research center. This paper explains the differences in the technical capabilities of the two JV research center, despite the same type of JV, as the difference between the status of the Chinese partner and the global strategy of the parent company. SAIC, a Chinese partner in Shanghai GM as a top-tier company, not only has been strongly demanding technology transfer from GM since the beginning of the JV, but has also made efforts to improve its own technical capabilities. Meanwhile, BAIC, a Chines partner in Beijing Hyundai as a mid-tier company, has not been strongly demanding technology transfer and lacked its own research base. Regarding the parent company's global strategy, although both companies controlled the core areas of research and development by their parent companies, GM actively considered using the Chinese RV to develop Chinese and emerging country vehicles. On the other hand, Hyundai Motors responded to the localization demand of the Chinese government while paying more attention to preventing technology leakage through its independent research center in China. The above discussion shows that the process of globalization of a company is a political process in which the global strategy of the parent company and the demands of the stakeholders surrounding the subsidiary are collided and compromised, rather than a process in which the harmony and cooperation between the parent company and its subsidiaries are smoothly achieved as the parent company's policies are unilaterally implemented.

• Resources Recycling
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• v.21 no.4
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• pp.3-15
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• 2012

Remanufacturing is a series of industrial process by which retired or non-functional products are restored to a like-new condition. The remanufacturing industry provides much more economical and environmental benefits in view of significant materials and energy savings than existing material recycling way. It also has an effect on the substitute of natural resources, and gives the opportunity of high employment creation due to its highly labor intensive work. This paper thus presents the features of remanufacturing and its various benefits, and current status of domestic and overseas remanufacturing industry including USA, Europe, Japan and China. Furthermore, three major tasks for promoting the remanufacturing industry in Korea have been proposed based on the analysis of remanufacturing activities, technologies and related system in advanced countries.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.8
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• pp.572-578
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• 2020

The stock market is affected by unexpected factors, such as politics, society, and natural disasters, as well as by corporate performance and economic conditions. In recent days, artificial intelligence has become popular, and many researchers have tried to conduct experiments with that. Our study proposes an experiment using not only stock-related data but also other various economic data. We acquired a year's worth of data on stock prices, the percentage of foreigners, interest rates, and exchange rates, and combined them in various ways. Thus, our input data became diversified, and we put the combined input data into a nonlinear autoregressive network with exogenous inputs (NARX) model. With the input data in the NARX model, we analyze and compare them to the original data. As a result, the model exhibits a root mean square error (RMSE) of 0.08 as being the most accurate when we set 10 neurons and two delays with a combination of stock prices and exchange rates from the U.S., China, Europe, and Japan. This study is meaningful in that the exchange rate has the greatest influence on stock prices, lowering the error from RMSE 0.589 when only closing data are used.