• Journal of the Korean Operations Research and Management Science Society
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• v.10 no.1
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• pp.65-78
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• 1985

In this paper, the approach getting a total demand by forecasting the new demand and the replacement demand separately and adding them is used for long term forecasting of durable goods. Cross country analysis using the income as an independent variable and S-shaped growth curve as a fitting model is developed as a method of forecasting new demand. To get the replacement demand the methods using the number of ownership and the replacement rate and the methods using the past demand and the distribution of the product life are proposed. And the theoretical explannation for product life cycle's diversity, which is the one of the major considerations in the long term forecasting, is attempted by the combination of the new demand and the replacement demand patterns. This is applicated the long term forecasting of Korean passenger cars.

• Journal of Korea Trade
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• v.24 no.6
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• pp.1-18
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• 2020

Purpose - This study investigates whether a listing effect exists in cross-border M&As and whether the effect can be attributed to the uncertainty of the GDP growth rate in the target firm's home country. We apply a joint variable analysis using M&A announcement data from the Korea Exchange (KRX), Shanghai Stock Exchange (SSE), and the Taiwan Stock Exchange (TWSE) from 2004 to 2013. We also conduct an event study using the measure of the uncertainty of the GDP growth rate (based on IMF statistics) in 55 target countries. Design/methodology - We measure the abnormal return (AR) using the market-adjusted model. We test the significance of the AR and the cumulative abnormal return (CAR) using a one-sample t-test. We examine the characteristics of the CARs depending on whether the target company is listed by applying a difference analysis using CAR as a test variable. In addition, we set CAR (-5, +5) as a dependent variable to identify the cause of the listing effect, and test both the financial characteristic variables of the acquirer and the collective characteristic variables of the merger as independent variables in the multiple regression analysis. Findings - First, we find the listing effect of cross-border M&As in the KRX, SSE, and TWSE, which represent the capital markets in Korea, China, and Taiwan, respectively. This listing effect persists during the global financial crisis and has a negative effect on the wealth of acquiring shareholders, especially when the target countries are emerging markets. Second, greater uncertainty regarding the target countries' economic growth in cross-border M&As has a negative effect on the wealth of acquiring firms' shareholders. Third, our empirical analysis demonstrates that the listing effect is attributable to the fact that firms listed in a target country with greater uncertainty of economic growth are more directly and greatly exposed to uncertain capital markets through stock markets, than are unlisted firms. Originality/value - This study is significant in that it presents a new strategic perspective in the study of cross-border M&As by demonstrating empirically that the listing effect is attributable to the uncertainty regarding the economic development of the target firms' home countries.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2007.04a
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• pp.361-366
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• 2007

This study reflects on the subjects of tile papers published by Journal of Automation in Construction, which has focused on such fusion-technology research areas in civil engineering as robotics and automation and observed a growing number of papers and extensiveness of participation during the 2000-2006 periods. This paper provides a current perspective on technology-fusion research in civil engineering, as reflected in the journal of Automation in Construction. Journal of Automation in Construction (AIC) is intended to be of interest of industry personnel, government personnel and researcher in Information Technology (IT) and Automation research in civil engineering. This paper is intended to show a cross country comparison of technology-fusion research through analysis of papers. The research results show that there is a need to increase research collaboration between industry and academia, government and academia, and industry and government to advance the construction industry.

• International Commerce and Information Review
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• v.19 no.1
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• pp.67-98
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• 2017

This study intended to investigate to what extent country image of America and previous visit experience affect the cross-border shopping intention. In particular, the present study used a country image measurement brought from another research study the factors of which are economy-technology image, social-cultural image, and citizen image. A total of 155 respondents participated in the survey targeting Korean citizen for the present study. Single regression, multiple regression, and independent t-test were conducted for data analysis. The result of the single regression indicated that country image is a critical predictor of cross-border shopping intention. The Multiple regression revealed that among three factors composing country image, social-cultural image plays the most significant and economy-technology image plays the second-most significant role in influencing cross-border shopping intention. However, it was found that citizen image does not play a substantial role for some reason. Moreover, the result of t-test showed that those who have a prior visit experience to America are more likely to buy products online from America than those who don't have prior visit experience. More detailed findings and implications will be discussed in the manuscript.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.10
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• pp.588-596
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• 2017

Although many policy makers and scholars argue that foreign direct investment is crucial to the economic growth of developing countries, there is no universal agreement on the positive relationship between foreign direct investment inflows and economic growth. Using a cross-country analysis based on data from 88 countries for the years 1990-2015, this paper empirically explores the impact of FDI on economic growth. To this end, several versions of the neoclassical growth models, explicitly including FDI, are estimated. Subject to the appropriate caveats, the results provide further support for several key conclusions of former studies, including the inference that investment in physical capital, population growth, and human capital are important in accounting for economic growth across countries. The results show that FDI significantly contributes to economic growth in developing countries.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2010.04a
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• pp.161-164
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• 2010

The study on terrain referenced navigation has been proceeded from 1940s in advanced country with the object of military. In this study, the analysis regarding algorithm developed using cross-correlation matching algorithm and extended Kalman filter and simulation will be introduced. As a result, the standard deviation of position error from cross-correlation matching algorithm has been calculated 34.3m. It meant that the result has stable accuracy on the navigation. However, further study on terrain referenced navigation based on analysis of various topographic characteristics should be performed.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.4
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• pp.409-417
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• 2022

This research uses a panel data set of selected developed and emerging economies to investigate the relationship between firm value and the Islamic label. A low-debt company is a proxy for excellent governance, and good governance has a significant positive impact on a company's valuation. We can claim that the Islamic label may also be a proxy for excellent governance and will significantly impact a company's economic value because it reflects low debt Sharia-compliant companies. To explore this relationship, cross-country data from non-financial enterprises in Pakistan, the United States, Malaysia, and Indonesia was acquired from 2010 to 2015. The study's findings indicate that the Islamic label has a positive significant impact on the firm's worth in the whole sample, including all countries. With the exception of the United States, we have also collected the same information at the country level. We also discovered that the corporate governance index at the firm level has a positive significant impact on firm value. The findings show that the Islamic label reflects good governance and hence can be used as a proxy for good governance. The analysis differentiates between Islamic labeled and conventional enterprises in developed and emerging nations, adding to our understanding of who contributes to enhanced corporate financial performance.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.3
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• pp.170-175
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• 2018

While the term online shopping refers to all online transactions, cross-border online shopping means shopping activities purchasing products or services over the internet for the customers abroad. As Internet use for the international shopping activity increasing, cross border online shopping has grown substantially for last decade. This study is about the problem regarding the cross border online shopping for two different countries and the variables that influence their shopping behavior. The cross border online shopping has been increased by the growth of Internet access. However, the growth of the Internet use does not guarantee a successful development of cross border e-commerce for every country. To find out the perception for cross-border online shopping for two different cultures, shoppers from two countries with different cultural background were chosen, and the perception for cross-border online shopping from each culture is contrasted. For statistical Analysis, ANOVA is used to find the relationship between a single non-metric independent variable, and multiple metric dependent variables. Hofstede's cultural dimensions model is adopted for this study as a tool to find out the patterns of cross border online shopping. This study showed what the variables would affect the perception in cross border online shopping. The results of this study indicated that cross border online shoppers with different culture were notably different on two variables identified-timeliness and ease of use.

• Asian Journal of Innovation and Policy
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• v.11 no.2
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• pp.238-257
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• 2022

As the global epidemic continues to worsen, the pressure on the supply chain is also increasing. In this context, Internet shopping has ushered in new development opportunities. Under the influence of globalization, the development of cross-border e-commerce (CB-EC) is particularly remarkable. As China is a big manufacturing country, the growth of CB-EC is a significant opportunity for Chinese goods to enter the international market. Therefore, this paper comprehensively analyzes the current situation of the integrated development of China's manufacturing industry and CB-EC from four aspects: the operation mode, development mode, policy environment, and development prospect of CB-EC in China's manufacturing sector. This paper constructs an evaluation system including 19 secondary indicators to rank the CB-EC development environment of 30 provinces in China that have established comprehensive pilot zones of CB-EC.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.35 no.1
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• pp.47-56
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• 2019

As the zero interest rate era was over with the end of quantitative easing, the economy of several global markets observed the fluctuations of the base interest rate. Interest rate, which is the change of money value with respect to time, is negatively correlated with construction investment. Considering the characteristics of interest rates and construction investment as economic variables, the necessity of cross-border analysis between base interest rate and construction investment was suggested in this paper. Cross-correlation analysis between base interest rates and construction investment crossing the border was performed. The effective correlations were confirmed with values varying by countries. Similar characteristics were also observed among countries with similar economy, which were then divided into three groups. Additionally, identifying the base interest rate that affects the construction investment of a particular country was made possible by reflecting a self-cycle of base interest rates. Lastly, from the result of examining the influence of each rise and fall of the interest rate, it was verified that the difference was more than twice as large in some countries. These results are expected to contribute to construction-related policy makers or investors to make decisions in response to the economic status of the construction market.