• Journal of Korea Technology Innovation Society
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• v.8 no.2
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• pp.757-782
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• 2005

This paper aims to measure the intellectual capital (IC) of the E institute, a typical type of public research institute and to analyse the measurement results. Regarding the research framework, we basically adopted the 'Intangible Assets Monitor' proposed by Sveiby and comprising human capital, structural capital and relational capital. For this work, we firstly identified 37 intellectual capital indicators which are slightly, or sometimes totally, different from ones for private companies in the perspective of their organisational attributes and characteristics. Then, based on these 37 indicators, we measured a current state of the intellectual capital in 2003 and 2004 respectively and identified the range of variation between two years. Through this work, we try to show that the core competitiveness of the public research institute came from not tangible assets such as land, building and facilities, but intellectual capital including human competences, the rational organisational system and the stakeholder's satisfaction. As a result, it may constitute the first time in Korea for the E institute to measure its own intellectual capital for two years as well as to publish the findings of measurement.

• Journal of Information Technology Services
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• v.18 no.1
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• pp.153-171
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• 2019

Competition among cities has become fierce with decentralization and globalization, and each city tries to establish a brand image of the city to build its competitiveness and implement its policies based on it. At this time, surveys, expert interviews, etc. are commonly used to establish city brands. These methods are difficult to establish as sampling methods an empirical component, the biggest component of a city brand. In this paper, therefore, based on the precedent research's urban brand measurement and components, the words representing each city image property were extracted and relocated to five indicators to form the evaluation index. The constructed indicators have been validated through the review of three experts. Through the index, we analyzed the brands of four cities, Ulsan, Incheon, Yeosu, and Gyeongju, and identified the factors by using Topic Modeling and Word Cloud. This methodology is expected to reduce costs and monitor timely in identifying and analyzing urban brand images in the future.

• Journal of Fashion Business
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• v.24 no.6
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• pp.120-134
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• 2020

Recently, the beauty industry has implemented personalized services based on skin big data. To increase competitiveness in the beauty industry, systematic data measurement and evaluation indicators are necessary to select data and obtain necessary knowledge. In response, this study sought to stably enhance the accuracy of skin diagnosis based on satisfaction and reliability. To this end, the research was conducted through focus group interviews (FGI), a case study of brands, and analysis of prior research results. In particular, as a result of analyzing keywords that classify skin types by brand, common survey items for skin types were oiliness and using moisturizer, cosmetic use and vascular of skin, external stimulus and blemish & freckles, facial wrinkle, outside activities, self-consciousness, and smoke. In additioin to the common questions of the preceding study and the brand survey items, the questions concerning complex skin types, seasonal change, facial color, wrinkles and elasticity were added, and the questions were presented in a total of 40 items. In particular, it suggested that skin measurement could be conducted by focusing on elasticity and pigmentation items by reflecting the results of prior research and the opinions of FGI, and based on this, a customized service with high satisfaction and high accuracy of beauty care based on this could be proposed. We hope that this study will facilitate active self-care by providing more satisfying skin stones and personalized cosmetics proposals, thus laying the foundation for the further development of the cosmetics industry.

• Journal of Distribution Science
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• v.19 no.8
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• pp.13-24
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• 2021

Purpose: This research is aimed to explore factors affecting on Kazakhstan's pharmaceutical distribution industry, selection of various factors and assessment of the level of their influence. Based on the literature review it was defined that there is a great variety of scientific works relating to pharmaceutical distribution industry competitiveness and management improvement. Research design, data and methodology: There is very little research, which to determine the issues of pharmaceutical industry distribution in developing countries, in particular EAEU countries. The algorithm was chosen for research provision: statistical and comparative analysis, correlation, and regression analysis. The data of 1993-2020 obtained from the World Bank, Bureau of National Statistics, National Bank of Kazakhstan, which is expressed by 19 factors as macroeconomic indicators. Results: The chosen variables were selected non-randomly, these economic indicators had the most reliable, unique, and utmost for the whole research period complete information. Conclusions: There could be made adequate conclusions of the research, there is a strong positive relationship for six factors: population, GDP per capita, average annual US dollar exchange rate, the minimum pension, average assigned monthly pension, minimum wage. Pension and wage are the most significant factors affecting on the pharmaceutical distribution industry in Kazakhstan.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.20 no.3
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• pp.13-31
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• 2009

The major indicating data of academic, public, and school libraries which were mentioned in the Korea library yearbook 1998 through 2007 were collected for this study. The results were analyzed and the methods that may be applied to a library management were presented in this paper. The collected data were analyzed by using the MS-excel and SPSS. The numbers of libraries, personnels, collections and their used ones, users, management budget were used for the variables of this study, and the correlation coefficients and non-parametric method etc. were used for the variable analysis. The results show that public and school libraries are growing consistently, but academic ones get stagnant currently.

• Environmental Engineering Research
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• v.12 no.4
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• pp.129-135
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• 2007

This study evaluated microbial risk that could develop within soil microbial communities after amended with organic fertilizers from stabilized swine manure waste. For this purpose, we assessed the occurrences and competitiveness of antibiotic resistance and pathogenicity in soil microbial communities that were amended with swine manure wastes stabilized by a traditional lagoon fermentation process and an autothermal thermophilic aerobic digestion process, respectively. According to laboratory cultivation detection analysis, soil applications of the stabilized organic fertilizers resulted in increases in absolute abundances of antibiotic resistant bacteria and of two tested pathogenic bacteria indicators. The increase in occurrences might be due to the overall growth of microbial communities by the supplement of nutrients from the fertilizers. Meanwhile, the soil applications were found to reduce competitiveness for various types of antibiotic resistant bacteria in the soil microbial communities, as indicated by the decrease in relative abundances (of total viable heterotrophic bacteria). However, competitiveness of pathogens in response to the fertilization was pathogens-specific, since the relative abundance of Staphylococcus was decreased by the soil applications, while the relative abundance of Salmonella was increased. Further testes revealed that no MAR (multiple antibiotic resistance) occurrence was detected among cultivated pathogen colonies. These findings suggest that microbial risk in the soil amended with the fertilizers may not be critical to public health. However, because of the increased occurrences of antibiotic resistance and pathogenicity resulted from the overall microbial growth by the nutrient supply from the fertilizers, potential microbial risk could not be completely ruled out in the organic-fertilized soil samples.

• Proceedings of the KSR Conference
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• 2008.06a
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• pp.2343-2358
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• 2008

The modal spilt for road has been increased, but, for railroad it has been decreased from 17.2%(1990) to 6.3%(2006). It is important to study on improving competition for railroad transportation so that freight transport industry for railroad which is getting to decrease in Korea will be increased. The objective of this study is to analyze the competitiveness of railroad transport compared with road by providing a high-speed railway. The indicators representing the competitiveness of railroad transport are determined. The main influenced factors for mode choice include transport cost, transport time, level of service. Precisely, three commodities type, container, cement, steel, are analyzed.

• Korean Journal of Construction Engineering and Management
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• v.20 no.6
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• pp.74-80
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• 2019

In domestic construction industry, CM companies perform overall project management tasks such as planning, designing, construction management, evaluation, maintenance for construction projects. However, even with these tasks, as competition becomes more fierce and probability dependence is high, lots of CM companies are experiencing difficulties of securing and preparing indicators for order competence reinforcement. This study examines domestic business condition and task analysis. Also Competence factors are derived through institutional and legal investigation, and review of existing literature. The derived competence factors are focused on practical factors by interviewing with experts. competence factors for each type were classified into BSC's four perspectives(Finance / Customers / Internal processes / Learning and Growth) and surveyed. Based on the results of the survey, the priorities of competence factors that companies should focus on were derived. The purpose of this study is to contribute on making an indicator that can be utilized on business activities through priority analysis of competence factors for order competitiveness reinforcement of CM companies.

• The Journal of Korean Association of Computer Education
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• v.17 no.1
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• pp.117-130
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• 2014

The purpose of this study is to provide useful knowledge for improving indicators that represent competitiveness and educational competency of the university by deriving a new pattern or the meaningful results from the data of information disclosure of universities using statistical analysis and data mining techniques. To achieve this, a model of decision tree was made and various factors that affect education/research performance such as employment rate, the number of technology transfer and papers per full-time faculty were explored. In addition to this, the cluster analysis of universities was conducted using attributes related to evaluation of university. According to the analysis, common factors affecting higher education/research performance are following indicators ; incoming student recruitment rate, enrollment rate, and the number of students per full-time faculty. In the cluster analysis, when performed by the entire university, the size, location of the university respectively, clusters are mainly formed by well-known universities, art physical non-science and engineering religious leaders training universities, and others. The main influencing factors of this cluster are higher education/research performance indicators such as employment rate and the number of technology transfer.

• Journal of Korea Game Society
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• v.16 no.1
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• pp.43-50
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• 2016

This research tried to evaluate the competitiveness of a mobile game in the aspect of emotional value which was developed on the purpose of improving specific emotional features. An evaluation of emotional value of a game before its commercial service will provide an effective advice for its marketing and service. The target game to be evaluated on this research is a mobile puzzle game of match-3 genre. We compared the game with Candy crush saga and Poko pang, and the indicators used to evaluate emotional features were flow, challenge, and intention of use. The importance values of indicators were calculated using AHP. And the three games were evaluated by pair-wise comparison method. Finally, the importance values of each indicators were applied to the evaluated results to make overall game quality value.