• Journal of Contemporary Eastern Asia
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• v.13 no.1
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• pp.19-37
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• 2014

In an attempt to develop comprehensive evidence-based methods for evaluation of the R&D performance of cross-disciplinary projects, a joint bibliometric analysis of patents and publications was performed for two industry-university-government collaborative projects aimed at commercialization: Hokkaido University Research & Business Park Project (2003-2007; 63 inventors; 176 patents; 853 papers), and Matching Program for Innovations in Future Drug Discovery and Medical Care - phase I (2006-2010; 46 inventors; 235 patents; 733 papers). Besides the simple output indicators (for five years period), and citations (from the publication date to the end of 2012), science maps based on the network analysis of words and co-authorship relations were generated to identify the prominent research themes and teams. Our joint analysis of publications and patents yields objective and mutually complementing information, which provides better insights on research and commercialization performance of the large-scale projects. Hence, such analysis has potential for use in the industry-university project's performance evaluation.

• Journal of Labour Economics
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• v.28 no.1
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• pp.61-82
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• 2005

We investigate wage differentials in Korea in the manufacturing industry, as well as factors affecting structural change in wage determination for the pre- and post-financial crisis regimes. We use the 1995 and 1999 data from the Survey Report on the Wage Structure (SRWS) from the Ministry of Labor. Principal components regression analysis is used to tackle multicollinearity. We employ factor analysis to reduce a set of variables to a smaller number, which contain observed and latent variables. Our empirical investigation provide evidences for changes in wages structure between 1995 and 1999. In 1995, the job quality factor is the most critical in the determination of wages, while in 1999, the industry attributes factor impacts greatly on the wages.

• Korean journal of communication and information
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• v.31
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• pp.113-165
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• 2005

The research focused on the return of class analysis of the media soctor. It is told that class is a determining factor of media industry. This article is divided in to four sections that represent class analysis of media. In this study, I claimed that class analysis is necessary of understanding the nature of media industrial capital and its nature. With their domination of the media, big corporations seek to control political power and information. This article has demonstrated that the media power of corporations should be curved.

• The Journal of Economics, Marketing and Management
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• v.10 no.6
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• pp.27-37
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• 2022

Purpose: The purpose of this study is to derive various ways to realize customer satisfaction for the development of the service industry by exploring research trends related to customer satisfaction, which is presented as an important goal in the service industry. Research design, data and methodology: To this end, 1,456 papers with English abstracts using scienceON were used for analysis. Using Python 3.7, word frequency and co-occurrence analysis were confirmed, and topics related to research trends were classified through BERTopic and LDA. Results: As a result of word frequency and co-occurrence frequency analysis, words such as quality, intention, and loyalty appeared frequently. As a result of BERTopic and LDA, 11 topics such as 'catering service' and 'brand justice' were derived. As a result of trend analysis, it was confirmed that 'brand justice' and 'internet shopping' are emerging as relatively important research topics, but CRM is less interested. Conclusions: The results of this study showed that the 7P marketing strategy is working to some extent. Therefore, it is proposed to conduct research related to acquisition of good customers through service price, customer lifetime value application, and customer segmentation that are expected to be needed for the development of the service industry.

• International Commerce and Information Review
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• v.10 no.3
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• pp.163-195
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• 2008

This paper want to do the feasibility analysis that it uses financial statements in order to attract foreign investment to enter in the Busan area. And this paper would be presented the plan about foreign investment revitalization. To that end, this paper would be deployed the following methods and scope. First, It defines to the concept of foreign investment, foreign investment region, and foreign-invested enterprises, I wish to loot at the economic effects of positive and negative effects through foreign investment. Second, this study's scope would be set up foreign investment area of Busan, and investigate the land development cost of invested enterprises, construction cost of enterprises burden, expected revenues, etc. Third, it classified three industry for the feasibility analysis of entered enterprises, so would be yield industry-specific analysis using financial statements to be pre-research. Forth, this paper is suggested a revitalization plan for efforts to attract foreign investment, for the future through economic effective analysis of foreign invested-enterprises.

• Journal of Distribution Research
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• v.15 no.5
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• pp.175-193
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• 2010

This paper has two objectives. One is to understand status of the distribution industry in Korea and compare it with industrialized countries. The other is an attempt to apply input-output(I-O) analysis to investigate the economic impacts of the distribution industry in the national economy for the year 2008. In the economy as a whole, the distribution industry represented about around 15 per cent employment and accounted for near 8 percent in GDP. The employment portion of the distribution in overall industry is almost same that of US, UK, and Japan, but shared portion in GDP is at least 3 per cent below these countries. Next, a static I-O framework is employed, focusing on two topics in its application. First, the impacts of the product or investment in the distribution industry on the product, value-added, and employment of other sectors are explored by using demand-driven model. Second, the national economic impacts of the distribution industry in Korea are looked into by using open model and inter-industry analysis. It can be summarized that the distribution industry has a high production-inducing effect, more worker and employment-inducing effect, a high forward and a low backward linkage effect. Finally, the implications and limitations of this study are discussed.

• Asian Journal of Business Environment
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• v.8 no.4
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• pp.37-44
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• 2018

Purpose - The artificial intelligence industry plays an increasingly significant role in stimulating the development of United States of America's economy. On account of this background, this paper attempts to explore the impact of artificial intelligence industry on United States of America's macroeconomy. Research design, data, and methodology - This paper mainly focuses on the impact of artificial intelligence industry on GDP, employment, real income, import, export and foreign direct investment. Furthermore, the Phillips-Perron test and Canonical cointegrating regression will be employed to examine the impact of artificial intelligence industry on United States of America's macroeconomy with a sample form 2010-Q1 to 2017-Q4. Results - Via the empirical analysis, the results reveal that the artificial intelligence industry has a positive effect on United States of America's GDP, employment, real income, export and foreign direct investment. Conversely, the artificial intelligence industry has a negative effect on United States of America's import. Conclusions - In summary, the impact of artificial intelligence industry on United States of America's macroeconomy is positive and significant in statistics. Therefore, the government of United States of America should put more input into artificial intelligence industry.

• Korea Trade Review
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• v.44 no.4
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• pp.189-203
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• 2019

In recent years, most companies are making strategic strides to respond to changes in the competitive landscape. This trend is proceeding independently from industry to industry, and the Chinese cosmetics industry, which is at its peak, is no exception. In the meantime, the question of whether the concept of strategy group and related theories are suitable for advanced markets and whether they are applicable to emerging markets such as China is an interesting subject of inquiry. The purpose of this study is to classify strategic groups based on the cognitive approach of CEO's in the Chinese cosmetics industry. Some of the existing studies on strategic groups have raised limitations on the theoretical validity of the classification and criteria of strategic groups. However, since the concept of the strategic group becomes a middle level analysis unit between the enterprise and the industry, applying this concept to the Chinese cosmetic industry will help identify the strategic group existing in the industry and grasp the composition of the entire industry.

• The Journal of the Korea Contents Association
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• v.13 no.4
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• pp.115-124
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• 2013

In this study I selected the keyword analysis method to infer what's the components of production system. Magazine , were chosen, because they are most close media to production reality. After content analysis of , key words of main reports were programming production, institution policy, industry, technology. As for , institution policy, organization, programming production, collective action were frequently found. Even though there are some differences between two media, institution policy, industry, technology, organization keywords are very salient components regarding programming production.

• Journal of Korea Technical Association of The Pulp and Paper Industry
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• v.32 no.5
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• pp.14-25
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• 2000

In this investigation, a wavelet transform analysis was used to decompose beta-radiographic formation images into spectral and spatial components. Conventional formation analysis may use spectral analysis, based on Fourier transformation or variance vs. zone size, to describe the grammage distribution of features such as flocs, streaks and mean fiber orientation. However, these methods have limited utility for the analysis of statistically stationary data sets where variance is not uniform with position, e.g. paper machine CD profiles (especially those that contain streaks). A continuous wavelet transform was used to analyze formation data arrays obtained from radiographic imaging of handsheets and cross machine paper samples. The response of the analytical method to grammage, floc size distribution, mean fiber orientation an sensitivity to feature localization were assessed. From wavelet analysis, the change in scale of grammage variation as a function of position was used to demonstrate regular and isolated differences in the formed structure.