• 한국항행학회논문지
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• 제18권5호
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• pp.524-531
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• 2014

본 논문에서는 클라우드 컴퓨팅 자원을 이용하여 빅데이터의 일종인 LOD (linked open data)를 가공 및 분석하는 방법을 제안한다. LOD는 공공 데이터를 공유 및 재활용하기 위한 웹기반의 오픈 데이터이다. 특히 BA(business analytics)와 Info-graphic을 위한 시각화 (visualization) 기술을 제공하는 새로운 SaaS (software as a service) 비즈니스 영역을 InforgraaS (Info-graphic as a service)라고 정의한다. 본 연구의 목표는 시각화 및 비즈니스 전문가 없이 비전문가 또는 초보자가 사용할 수 있도록 하는 것이다. 데이터 시각화 (data visualization)는 데이터 분석 결과를 쉽게 이해할 수 있도록 시각적으로 표현하고 전달되는 과정을 말한다. 데이터 시각화의 목적은 챠트와 그래프를 통해 정보를 명확하고 효과적으로 전달하는 것이다. 공공기관의 빅데이터를 클라우드 컴퓨팅 자원과 오픈 소스인 하둡, R, 기계학습, 데이터 마이닝 등을 이용하여 다양한 처리 결과를 이해하기 쉬운 그래픽 또는 챠트로 표현하고 공유한다.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2008년도 추계학술대회 및 정기총회
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• pp.319-323
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• 2008

"How does advertising affect sales?" is the fundamental issue of modern advertising research. There is an interesting issue for estimating carry over effects of advertising on sales, and the aggregated data biases exist in the duration of advertising effect. This research suggests a modified model at micro-data using Koyck model (Koyck 1954) by estimated model the aggregate data, and empirically shows the aggregated data bias. Our modified model with the aggregated level of actual data is more appropriate than the base model for micro-data. The result shows that it is very important to consider the disaggregated data level in the analysis of dynamic effects of adverting such as lagged effects.

• 한국품질경영학회:학술대회논문집
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• 한국품질경영학회 2010년도 춘계학술대회
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• pp.226-234
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• 2010

In this thesis, we present process that remove mistake of data before statistical analysis. If field data which is not simple examination about validity of data, we cannot believe analyzed statistics information. As statistical analysis information is produced based on data to be input in statistical analysis process, the data to be input should be free of error. In this paper, we study the application of statistical analysis road map that can enhance application on site by organizing basic theory and approaching on initial data exploratory phase, essential step before conducting statistical analysis. Therefore, access to statistical analysis can be enhanced and reliability on result of analysis can be secured by conducting correct statistical analysis.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제8권5호
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• pp.489-500
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• 2002

비즈니스 인텔리젼스에 대한 관심이 증대되면서 핵심 기술로써 데이타마이닝의 적용이 증대되고 있다. e-Business에서의 비즈니스 인텔리젼스를 지원하기 위해 다양한 마이닝 연산을 통합적으로 제공하는 마이닝 시스템은 데이타베이스 시스템과 유연하게 통합될 수 있어야 하며, 또한 다양한 비즈니스 응용에서의 마케팅 프로세스를 쉽게 구현할 수 있는 인터페이스를 제공하여야 한다. 이 연구에서는 e-Business영역에서의 BI를 지원하기 위해 데이타마이닝 기법을 통합적으로 제공하는 시스템으로써 EC-DaMiner 시스템을 설계, 구현하였다. 데이타마이닝 시스템은 기존의 데이타베이스 시스템과의 표준적인 인터페이스를 통하여 연동될 수 있도록 하였다. 아울러 비즈니스 어플리케이션들은 마이닝 질의어인 MQL을 통하여 규칙을 탐사하고 탐사된 규칙을 기존의 마케팅 데이타베이스에 모델화하여 반영함으로써 마케팅 전략의 구현을 용이하게 하였다.

• 한국전자거래학회지
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• 제14권4호
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• pp.299-313
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• 2009

국내 물류 환경이 점차 글로벌 물류로 변화됨에 따라 업무 처리에 다양한 물류 주체들이 참여하고, 화물은 컨테이너에 포장되어 여러 단계를 거쳐 수화인에게 전달된다. 또한 화물 배송 과정 중간에 화물이 손상되거나 유실될 가능성이 크다. 이 때문에 송화인과 수화인을 비롯한 여러 물류 주체들에게 있어서 수출입 화물에 대한 흐름의 파악은 매우 중요한 문제가 되고 있다. 하지만 현실적으로는 여러 가지 문제로 인해 화물이 전달되는 과정을 일관되게 추적하는 것은 매우 어려운 실정이다. 그 원인은 화물과 정보 흐름이 일치하지 않는다는 것과 업무자동화 측면에서 표준 정보 및 프로세스가 아니어서 물류 주체 간 데이터 연동이 어렵다는 것이다. 이에 본 논문에서는 화물 추적 업무에 있어서 단일화되고 통합된 비즈니스 협업을 위한 비즈니스 프로세스를 정의하고, 그 결과를 이용해 표준 데이터를 정의하고자 한다. 개발된 프로세스 모델과 표준 데이터는 국제적으로 상호운용성을 지원할 수 있도록 하였다.

• 기술혁신연구
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• 제5권1호
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• pp.15-43
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• 1997

This paper investigates empirically the relationship between various business portfolio properties (particularly technological properties) and chaebol's performance using data on the 50largest chaebols in Korea. In addition to the traditional indexes to measure diversification such as entropy index, we calculated inter-industry technological similarity using R'||'&'||'D expenditure data by industry and 1990 Input-output Table in korea, and obtained chaebol-level technological relatedness and internal transaction proportion from chaebols' business profile, inter-inustry technological similarity and 1990 input-output table. We applied factor analysis on 13 business portfolio property indexes and showed that they could be grouped into 3 dimensions. diversification scope, inter-business relatedness and degree of vertical integration. In this paper, using 50 largest chaebols' financial data (1989-1994), we analyzed empirically the effect of business portfolio properties on ROS(Return On Sales) which is conventional index for firm performance and on TFP(Total Factor Productivity) growth which is a pure measure of firm performance. To utilize the advantage of panel data, FEM(Fixed Effect Model) and REM(Random Effect Model) were used. The empirical result shows that the entropy index as a measurement of inter-business relatedness in not significant but technological relatedness index is significant. OLS estimates on pooled data were considerably different from FEM or REM estimates on panel data. By introducing interaction effect among the three variables for business portfolio properties, we obtained three findings. First, only VI(Vertical integration) has a significant positive correlation with ROS. Second, when using TFP growth as an dependent variable, both TR(Technological Relatedness) and VI are significant and positively related to the dependent variable. Third, the interaction term between TR and VI is significant and negatively affects TFP growth, meaning that TR and VI are substitutes. These results suggest strategic directions on restructuring business portfolio. As VI is increased, chaebols will get more profit. A higher level of either TR or VI will increase TFP growth rate, but increase in both TR and VI will have a negative effect on TFP growth. To summarize, certain business portfolio properties such as VI and TR can be considered "resources" themselves since they can affect profit rate and productivity growth. VI and TR have a synergy effect of change in profit rate and productivity growth. VI increases ROS and productivity growth, while TR increases productivity growth representing a technological synergy effect.t.

• 유통과학연구
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• 제12권11호
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• pp.5-13
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• 2014

Purpose - This study traces the determinants of key account management performance in the garments industry in Bangladesh. The key account management approach involves significant challenges for marketers to manage their strategically important customers and use this approach as a strategic weapon in their selling efforts. This study examines three categories of determinants of key account management performance including operational variables, organizational variables, and relational variables by exploring data from 100% export oriented readymade garments companies in Bangladesh. Research design, data, and methodology - Data were collected from 30 readymade garments manufacturers, considering a company as a unit of analysis. Using the data, instrument validity and reliability and, subsequently, data normality were examined using the Statistical Package for the Social Sciences (SPSS) software to isolate the important determinants of key account management performance. Results - The instruments are reliable and the data are reasonably normal. Conclusion - The study explored and validated the adapted instruments of various operational, organizational, and relational antecedent factors of key account management performance, most of which were thus far ignored.

• Journal of the Korean Data and Information Science Society
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• 제19권3호
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• pp.761-774
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• 2008

Agility is vital to real-time enterprises in comtemporary dynamic business environment. This study aims to investigate the relationships between traditional shipping and port logistics firms' customer agility obtained by adopting Internet business, and their corporate image and customer satisfaction. Using questionnaire data, factor analyses were used to figure out five major agility factors, corporate image factor, and customer satisfaction factor. The agility factors were then used to investigate how they improve the firms' corporate image and customer satisfaction. The results of the regression analyses show that agility factors significantly influence the firms' corporate image and customer satisfaction factors.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권10호
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• pp.3513-3533
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• 2021

This paper identifies challenging factors that hinder the successful settlement of the MyData industry, which is drawing global attention, and it analyzes the priority of solutions. To this end, a mixed-methodology including analytic network process technique was borrowed step-by-step to identify variables, analyze them, and provide interpretations. From the first step, the study found that the market aspect was the most important for the success of the K-MyData business, and the release of interesting representative services was found to be the easiest way to inspire market growth. From the second step, as a socio-cultural issue, the lack of consensus on data provisioning was found to present a major obstacle. To achieve consensus, it is very important for business participants to gain the trust of consumers. From the third step, it was found that the scope of data collection and responsibility for accidents needs to be clarified. Government and business-related persons must observe the principles of MyData while tackling these obstacles. It is also necessary for the government to be sensitive to changes in the environment as a focal actor. Doing so will lead to data industry activation and will help guarantee of rights of data subjects in a balanced manner. Finally, it is notable that technical barriers now have the lowest priority. Although technology is important, MyData business must also overcome market, socio-cultural, and institutional challenges. The study selected Korea as its research target, but it is expected to provide useful insights to other countries that are planning MyData business similar to Korea.

• The Journal of Asian Finance, Economics and Business
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• 제7권6호
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• pp.19-27
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• 2020

This research investigates the determinants of investment capital size in Vietnam's small and medium-sized firms. The study employs a sample of 458 small and medium-sized enterprises in the country. The study is based on data collects in the areas of Hanoi, Bac Can, Buon Ma Thuot and Pleiku Provinces at time series data of October 2019. This study also identifies the factors that affect the size of investment capital in medium and small-sized enterprises in Vietnam. Data are processed via STATA 14.0 and SPSS 20.0 software. The research results indicate that (1) business lines, (2) import and export business, (3) type of business registration, (4) business location, (5) operating time, and (6) the percentage of the organization's capital contribution are factors that impact on the size of the investment capital of the business. Business line and business location have negative impacts on investment capital size. The operating time, the percentage of the organization's capital contribution, import and export business, and the type of business registration have positive impacts on investment capital size. In addition, the findings of this study also suggest that the operation time has the highest impact on investment capital size of the small and medium-sized firms in Vietnam.