• Korean Institute of Interior Design Journal
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• v.20 no.5
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• pp.208-216
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• 2011

Today, the market environment for companies around the world has been changed by globalization, digital innovation, information by opening the diversity, consumer awareness, and the development of mass media in the wide areas such as, politics, economy, society and culture. Accordingly, the function of the housing cultural center also has been changed from the Place where the trading had been made to the Space where the marketing could work. The housing cultural center is home to companies to target their corporate culture and corporate image, and the brand identity. From the space marketing standpoint, this study extracts differentiator of the housing cultural center from theoretical consideration to boom up of the housing cultural center and to build up its identification. Based on this analysis, the design identity element of the interior design of the housing cultural center is proposed by the actual and analytical cases. Such a future plan design identity elements in the design of the new housing cultural center is providing basic design guide line to recognize the importance.

• The International Journal of Costume Culture
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• v.5 no.3
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• pp.151-163
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• 2002

This study attempted to creat patent map 163 cases of patent for technology of apparel design using computer technology and researched the trend of Patent application by count교, technologies, applicant and filing date. In regard to application by country, the United States mark the first place with 99 cases (61%), Japan marks the second with 34 cases (21%), Korea the third with 19 cases (12%). Comparing the patent applications in specialized technologies, we find the United States is overwhelming the technologies for garment Production Process, Patterning Process and preparatory process, and Japan is currently undergoing development work in this area, while most of Korean applications are focused in the technologies for selection or substitution methods related to Purchase and sale of apparels, body image and design service Therefore, it is required to preoccupy and defend patent rights as well as develop technologies aggressively and extensively in preparation for the expansion of e-commerce market. Analysing the speed of progress in technology in terms of number of applicants and application cases, we can say it entered into developing stage from the middle of 1990s and it seems that they will continue the development work from now on. in case of Korea, they began in 1996, somewhat late, but reached a similar level with the United States in 2000.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.100-102
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• 2005

인터넷 환경에서의 B2B Market Place의 출현은 판매자와 구매자와의 다자간 거래를 가능하게 하였다. 이러한 기반에서 상품정보를 포함하는 전자 카탈로그의 활용은 나날이 증가하고 있다. 그러나 동일한 상품에 대한 분류체계와 기준이 다르므로 전자카탈로그에 대한 재분류는 고비용을 초래하는 필수 불가결한 문제로 남게 되었다. 본 연구에서는 이러한 문제를 해결하기 위해 기계학습 기법을 이용한 $Na\ddot{i}ve$ Bayesian classifier 모델을 사용하였다 학습 데이터를 생성해야 하는 $Na\ddot{i}ve$ Bayesian 알고리즘 적용 시 전자 카탈로그는 일반 문서보다 상대적으로 학습 정보가 적으므로 데이터 모델의 확장을 통해 학습 정보를 생성하여 이러한 단점을 보완하였다. 전자 카탈로그 자동분류에 있어서 효과적이고 풍부한 양의 학습 데이터를 생성하는 것이 분류 정확도 향상에 중요한 영향을 미침을 실험을 통해 확인하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2001.04a
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• pp.47-50
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• 2001

본 논문은 워크플로우 관리 시스템 중 Workflow Management Coalition (WfMC)의 명세서의 WfMC 참조 모델 중 인터페이스 3 에 해당하는 런타임 클라이언트와 워크플로우 엔진과의 상호작용에 기술하였다. 명세서를 통해서 발생되는 문제점을 검토 후 이에 대한 문제해결 방법으로 기존의 접근방법과 다르게 XML 기반의 응용프로그램 호출 메커니즘을 통해서 프로세스의 오버헤드를 줄이고 엔진과의 API 를 통하지 않고도 쉽게 응용프로그램 개발을 할 수 있게 했다. 또한 B2C/B2B로 대변되는 전자상거래 및 전자시장(E-Market Place)의 활성화가 급속하게 확장됨에 따라 개선된 응용프로그램의 호출방법으로 XML 기반 접근방법을 제시한다. 또한 워크플로우 관리 시스템에서 중요한 요소인 상호운용성에서도 이러한 XML 기반 응용프로그램 호출은 워크플로우 관리 시스템간 상호운용성에도 중대한 영향을 줄 수 있게 되는 것이다. 또한 인터넷이라는 환경을 위해 XML 을 사용하여 기존의 접근방법에서부터 많은 변화를 가져올 수 있는 것이다.

• Journal of East Asia Management
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• v.3 no.1
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• pp.25-40
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• 2022

This study investigates the effect of labor union and its power on information opacity. Given that the information opacity ultimately leads to the stock price crash, this study examines the relationship between labor unions and future stock price crash risk. Further, by assuming a strike by labor union as the actual power of the unionization in firms, whether labor union's power subrogated by the activity (i.e., a strike) makes a significant difference in the likelihood of future stock price crash between unionized firms is also examined. The work place survey data provided by Korea Labor Institute is used to test the hypotheses. The data is for the periods of 2004 - 2012 on firms listed on Korea Stock Exchange and KOSDAQ. The results show that while labor unionization has a positive impact on future stock price crash risk, on which labor union's power has a negative impact. This means that the existence of labor union itself might facilitate firm's information to be opaque by tolerating manager opportunism, while its power mitigates the managerial opportunism, which leads to lower future stock price crash risk. This study adds to the literature on the role of labor unions as nonfinancial stakeholders and its power in accounting environment, and also on the determinants of stock price crash. It is also valuable to examine the unions' role in terms of the economic consequences of both presence and power of the labor unions.

• Korean Chemical Engineering Research
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• v.55 no.6
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• pp.762-766
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• 2017

Energy recovery device (ERD) is used to save energy consumption in seawater reverse osmosis processes. However, small-scale ERDs (<$100m^3/d$) are hardly observed in seawater desalination market. In South Korea, most of seawater desalination plants for drinking water production are small-scaled and have been operated in island areas or on ships. Thus, the effect of ERDs for these small-scale SWRO processes should not be neglected. In this work, the small-scale SWRO processes are designed and analyzed in terms of energy consumption with/without ERD. The realistic efficiencies of high pressure pumps are considered for the energy analyses. The unit cost of electricity depending on the application place (e.g., inland and island areas, on ships) is investigated to calculate the energy cost for unit water production in various SWRO applications classified by plant capacity, application place, and the installation of ERD. As a result, the energy cost can be saved up to $1,640.4KRW/m^3$ when ERD is applied, and the saving effect increases at smaller plants on ships. In conclusion, the development of small-scale ERDs are necessary because small-scale SWRO processes are dominant in Korean seawater desalination market, and the electricity saving effect becomes higher at smaller-scaled system.

• Asia pacific journal of information systems
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• v.24 no.2
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• pp.233-253
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• 2014

Can the stock market really be predicted? Stock market prediction has attracted much attention from many fields including business, economics, statistics, and mathematics. Early research on stock market prediction was based on random walk theory (RWT) and the efficient market hypothesis (EMH). According to the EMH, stock market are largely driven by new information rather than present and past prices. Since it is unpredictable, stock market will follow a random walk. Even though these theories, Schumaker [2010] asserted that people keep trying to predict the stock market by using artificial intelligence, statistical estimates, and mathematical models. Mathematical approaches include Percolation Methods, Log-Periodic Oscillations and Wavelet Transforms to model future prices. Examples of artificial intelligence approaches that deals with optimization and machine learning are Genetic Algorithms, Support Vector Machines (SVM) and Neural Networks. Statistical approaches typically predicts the future by using past stock market data. Recently, financial engineers have started to predict the stock prices movement pattern by using the SNS data. SNS is the place where peoples opinions and ideas are freely flow and affect others' beliefs on certain things. Through word-of-mouth in SNS, people share product usage experiences, subjective feelings, and commonly accompanying sentiment or mood with others. An increasing number of empirical analyses of sentiment and mood are based on textual collections of public user generated data on the web. The Opinion mining is one domain of the data mining fields extracting public opinions exposed in SNS by utilizing data mining. There have been many studies on the issues of opinion mining from Web sources such as product reviews, forum posts and blogs. In relation to this literatures, we are trying to understand the effects of SNS exposures of firms on stock prices in Korea. Similarly to Bollen et al. [2011], we empirically analyze the impact of SNS exposures on stock return rates. We use Social Metrics by Daum Soft, an SNS big data analysis company in Korea. Social Metrics provides trends and public opinions in Twitter and blogs by using natural language process and analysis tools. It collects the sentences circulated in the Twitter in real time, and breaks down these sentences into the word units and then extracts keywords. In this study, we classify firms' exposures in SNS into two groups: positive and negative. To test the correlation and causation relationship between SNS exposures and stock price returns, we first collect 252 firms' stock prices and KRX100 index in the Korea Stock Exchange (KRX) from May 25, 2012 to September 1, 2012. We also gather the public attitudes (positive, negative) about these firms from Social Metrics over the same period of time. We conduct regression analysis between stock prices and the number of SNS exposures. Having checked the correlation between the two variables, we perform Granger causality test to see the causation direction between the two variables. The research result is that the number of total SNS exposures is positively related with stock market returns. The number of positive mentions of has also positive relationship with stock market returns. Contrarily, the number of negative mentions has negative relationship with stock market returns, but this relationship is statistically not significant. This means that the impact of positive mentions is statistically bigger than the impact of negative mentions. We also investigate whether the impacts are moderated by industry type and firm's size. We find that the SNS exposures impacts are bigger for IT firms than for non-IT firms, and bigger for small sized firms than for large sized firms. The results of Granger causality test shows change of stock price return is caused by SNS exposures, while the causation of the other way round is not significant. Therefore the correlation relationship between SNS exposures and stock prices has uni-direction causality. The more a firm is exposed in SNS, the more is the stock price likely to increase, while stock price changes may not cause more SNS mentions.

• Archives of design research
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• v.16 no.2
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• pp.281-290
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• 2003

In the knowledge and information-based age of today, it would be fair to say that the compatibility of each person, enterprise, and nation can be evaluated by how each of them manages and maintains the knowledge created from data and information. Since the importance and necessity of knowledge management has been acknowledged, there have been studies to create, apply, and evaluate the knowledge concerning design. Previous studies done on this subject can be divided into three main categories - CRM, online statistical research, and eCRM - according to the materials used to create knowledge. These studies are meaningful in that they can create knowledge in their respective fields, although they are somewhat inadequate because the designers can't create as much knowledge as can be applied in business; design-related consumers demand composite knowledge integrating the characteristics of all three fields. In other words, they want to know the ordinary customers'preferences in the previous off-line market in the CRM field, the research results of statistical questionnaires to the various elements of design in statistical research fields, and even the pattern of preference and consumption of many and unspecified persons transcending the time and place in eCRU field. This study proposes to solve the problem related with web-based design knowledge maintenance through the synthetic application of CRM, Statistical Research, and eCRM The information proposed in the solution can De expected to help designers working at design-related enterprises, as well as research institutes, to develop the knowledge necessary to design more consumer-oriented products.

• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.2
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• pp.138-146
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• 2011

With the increased use of GPS in the field of various applications including surveying, the request for fast and precise positional information has increased. Several countries such as USA, Canada, and Australia have already been operating Internet-based automatic GPS data analysis system using e-mail and FTP. Expanding GPS market, it is necessary to establish automatic GPS baseline processing system that is accessible via Internet. The system developed in this study is operating on the web, and it allows the users to access easily regardless of time and place. The main processing engines are Bernese V5.0 and PAGES. They process user data with three GPS CORS(Continuously Operating Reference Station), and then send the report to the users through e-mail. This system allows users to process high accurate GPS data easily. It is expected that this system will be used for various GPS applications such as monitoring large-scale structures and providing spatial information services in private sector.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.73-88
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• 2021

The development of modern industry is changing the consumption pattern of consumers. With the advent of COVID-19, consumers' consumption using online e-commerce has begun to become more active. Online shopping malls where e-commerce takes place have four types of platforms: stand-alone, rental, open market and store farm. Among them, by comparing the stand-alone and store farm types, this study was conducted how the platform type affects consumers' purpose of using the online shopping mall and their intention to revisit the online shopping mall. This study analyzed 202 surveys within the last six months. According to the results of the study, reliability and information had a significant impact on psychological benefits. In addition, promotion and convenience have had a significant impact on economic benefits. The psychological and economic benefits, have been found to have a significant impact on the intention of revisit. However, there is no difference depending on the platform type.