• 제목/요약/키워드: research results information

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데이터베이스의 효율적 이용을 위한 사무실 정보시스템에 관한 연구 (A Study on the Efficient Use of Database and the Office Information System)

  • 고영만
    • 한국문헌정보학회지
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    • 제21권
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    • pp.169-190
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    • 1991
  • The purpose of this study is to investigate aspects of office information systems in japanese corporations in order to understand introduction strategies and to find out whether strategy elements could be transferred to Germany. In this study, three points of view played an important role. (a) Technological and infrastructural support systems What kind of role did the liberalization of telecommunication markets and the avaliability of computer hardware play to help develope of database industry and implement office information systems? (b) Strategies and forms of the implementation of office information system: Which strategies were successful, distribution or centralization? How were technical and organizational problems handled? (c) Process of data communication : How did the implementation of office information system change the data communication with in-house or commercial database systems? To answer these questions, this study centered around a two-step field research in Japan. (1) Screening stage: to gain a general overview of office information system in Japan. The results of this initial research have been analysed and carefully evaluated to prepare for the second and major part of field research in Japan. (2) Data collection stage: interviews with respective managers, heads offices, and data processing units in 20 enterprises. The major results of this study are as follows. Today in Japan, office information system is understood as the interconnection of the in-house and commercial database for the maximization of the use of information resource In an organization. In particular, developments in the direction of distributed systems and the 'intelligent office' by means of the new information and communication technologies are very important.

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A Study on the Factors Influencing the Satisfaction of Online Service System on the International Research Cooperation

  • Noh, Younghee;Chang, Rosa
    • International Journal of Knowledge Content Development & Technology
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    • 제10권2호
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    • pp.71-90
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    • 2020
  • Recently, as the pandemic COVID-19 has been spread worldwide, international research cooperation has come to the fore to overcome the crisis and develop treatments. Currently, in Korea, with the support from the Ministry of Education and the Korea Research Foundation, the International Research Cooperation Information Center operates an online service system for international research cooperation as a venue for sharing results among international research cooperation researchers and invigorating such research. However, since Korea's performance in international research cooperation is still poor, actively pursuing measures to improve professionalism and diversity based on international cooperation is deemed necessary. Therefore, in this study, factors influencing the level of satisfaction with international research cooperation online service systems were identified, and measures to increase the satisfaction of international research cooperation online service were proposed based on the analysis results. Design of the system quality factors, accuracy and consistency of the information quality factors, and professionalism of the service quality factors were verified to have a significant effect on the satisfaction with international research cooperation online service systems. Accordingly, further strengthening the aspects of design, accuracy, consistency, and professionalism was proposed as a way to increase the satisfaction of international research cooperation online service systems.

Determinants of Sustainability Disclosure: Empirical Evidence from Vietnam

  • NGUYEN, Anh Huu;NGUYEN, Linh Ha
    • The Journal of Asian Finance, Economics and Business
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    • 제7권6호
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    • pp.73-84
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    • 2020
  • The paper investigates the effect of the factors on the disclosure of sustainable development information of enterprises. The research sample includes 120 manufacturing companies listed on Vietnam stock market in 2019. This research uses ordinary least squares (OLS) to address econometric issues and to improve the accuracy of the regression coefficients. The empirical results show that five variables have a statistically significant positive effect on disclosure of sustainable development information of manufacturing companies, including firm size (SIZE), independence of board of directors (BOD), foreign ownership (FRO), return on equity (ROE), and financial leverage (LEV). The results indicate that state ownership (STO) has a statistically significant negative effect on disclosure of sustainable development information of manufacturing companies listed on Vietnam stock market. Besides, the research results also show there is a large difference in the disclosure of sustainable development information between listed companies in Vietnam, those of other emerging economies in the region, and the companies in developed markets. Therefore, this paper provides a new insight to managers and related parties on how to improve the firm's sustainability disclosure to bring benefit for the firm itself and the stakeholders by reasonable decisions about the factors that affect disclosure of sustainable development information.

머신러닝 기법을 활용한 암호화폐 유통 가격 예측 연구 (A Study on Predicting Cryptocurrency Distribution Prices Using Machine Learning Techniques)

  • 김한민;김호익
    • 유통과학연구
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    • 제17권11호
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    • pp.93-101
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    • 2019
  • Purpose: Blockchain technology suggests ways to solve the problems in the existing industry. Among them, Cryptocurrency system, which is an element of Blockchain technology, is a very important factor for operating Blockchain. While Blockchain cryptocurrency has attracted attention, studies on cryptocurrency prices have been mainly conducted, however previous studies mainly conducted on Bitcoin prices. On the other hand, in the context of the creation and trading of various cryptocurrencies based on the Blockchain system, little research has been done on cryptocurrencies other than Bitcoin. Hence, this study attempts to find variables related to the prices of Dash, Litecoin, and Monero cryptocurrencies using machine learning techniques. We also attempt to find differences in the variables related to the prices for each cryptocurrencies and to examine machine learning techniques that can provide better performance. Research design, data, and methodology: This study performed Dash, Litecoin, and Monero price prediction analysis of cryptocurrency using Blockchain information and machine learning techniques. We employed number of transactions in Blockchain, amount of generated cryptocurrency, transaction fees, number of activity accounts in Blockchain, Block creation difficulty, block size, umber of created blocks as independent variables. This study tried to ensure the reliability of the analysis results through 10-fold cross validation. Blockchain information was hierarchically added for price prediction, and the analysis result was measured as RMSE and MAPE. Results: The analysis shows that the prices of Dash, Litecoin and Monero cryptocurrency are related to Blockchain information. Also, we found that different Blockchain information improves the analysis results for each cryptocurrency. In addition, this study found that the neural network machine learning technique provides better analysis results than support-vector machine in predicting cryptocurrency prices. Conclusion: This study concludes that the information of Blockchain should be considered for the prediction of the price of Dash, Litecoin, and Monero cryptocurrency. It also suggests that Blockchain information related to the price of cryptocurrency differs depending on the type of cryptocurrency. We suggest that future research on various types of cryptocurrencies is needed. The findings of this study can provide a theoretical basis for future cryptocurrency research in distribution management.

Edge preserving method using mean curvature diffusion in aerial imagery

  • Ye, Chul-Soo;Kim, Kyoung-Ok;Yang, Young-Kyu;Lee, Kwae-Hi
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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    • pp.54-58
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    • 2002
  • Mean curvature diffusion (MCD) is a selective smoothing technique that promotes smoothing within a region instead of smoothing across boundaries. By using mean curvature diffusion, noise is eliminated and edges are preserved. In this paper, we propose methods of automatic parameter selection and implementation for the MCD model coupled to min/max flow. The algorithm has been applied to high resolution aerial images and the results show that noise is eliminated and edges are preserved after removal of noise.

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The Information Behavior of Indonesian Faculty Members on Social Media

  • Kurniasih, Nuning
    • Journal of Information Science Theory and Practice
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    • 제7권4호
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    • pp.45-55
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    • 2019
  • Currently there are many groups of Indonesian faculty members on social media. This research aims to find out the information behavior of Indonesian faculty members on social media, especially on Facebook, Telegram, and WhatsApp. The focus of this research is in-depth understanding of the needs, search, organization, and use of information by Indonesian faculty members on social media. This research is qualitative research using a virtual ethnographic approach. The research data was obtained through participatory observation, in-depth interviews, and a literature review. The selection of informants was done by purposive sampling, while triangulation was done by data sources and theories triangulation. The results showed that the information behavior of Indonesian faculty members on social media began with the need for information, choosing social media, choosing and entering into one or several groups, sharing information, and discussing in a group. Some faculty members keep the information, and some choose to ask when they need the information, even though the information has been discussed. The information obtained is used when they need it, and they usually share their experiences with other group members.

한의학 연구동향 분석을 위한 페이퍼 맵 분석 시스템의 설계 및 구현 (Design and Implementation of Paper Map for Traditional Korean Medicine)

  • 예상준;장현철;김철;김진현;김상균;송미영
    • 대한한의학회지
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    • 제31권5호
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    • pp.103-111
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    • 2010
  • Objectives: Because of the characteristics of traditional Korean medicine, there are few overseas patents and SCI papers. Researchers are struggling to analyze the research trend using existing patent analysis system and paper analysis system. We aim to build up a web-based paper map analysis system for Traditional Korean Medicine to improve the situation. Methods: We studied the following three sub topics. First, we surveyed the research trend analysis method for traditional Korean medicine. Second, we designed a paper map analysis model and made the algorithm for it. Finally, the development of the paper map analysis system was conducted. Results: We developed a web-based paper map analysis system which has the three main functions being analysis chart, topology map and contour map. For the rich internet application, we used the flex development tool and java integrated development environment. Conclusion: We will provide our paper map analysis system in the OASIS through the minor changes to provide easy use. We hope that this system will be a useful tool to analyze the research trends for traditional Korean medicine.

온라인 증권거래 고객의 충성도 (Loyalty of On-line Stock Trading Customers)

  • 이민화
    • 한국정보시스템학회지:정보시스템연구
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    • 제14권2호
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    • pp.155-172
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    • 2005
  • Securities companies which faced with severe competition should not only attract new customers but also retain their on-line customers. This study examines the factors affecting loyalty of on-line stock trading customers. The research model based on the previous studies was established and the research hypotheses were generated. The test results based on the data gathered from 87 users of on-line stock trading services show that user satisfaction, learning cost, transaction fees, and reputation influence customer loyalty. User satisfaction, learning cost and reputation are positively related to customer loyalty, whereas transaction fee is negatively related to customer loyalty. The results also support that information quality and system quality are positively related to user satisfaction. The hypothesis that transaction fee is related to user satisfaction is not supported. There is no significant information to say that security risk is related to user satisfaction. It is considered that the study results may help managers to increase customer retention.

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의학정보관리 연구경향 분석 연구 (A Study on Research Trends Analysis of Medical Information Management)

  • 김희정
    • 정보관리학회지
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    • 제27권2호
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    • pp.117-127
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    • 2010
  • 본 연구에서는 외국과 한국의 의학정보관리 연구 경향을 문헌정보학적 관점에서 분석하였다. 외국 데이터는 2007년부터 2010년까지 3년여 간을 대상으로 LISA 데이터베이스를 검색하였으며 대상 논문은 총 225건이다. 한국 데이터는 DBPIA를 이용하였다. 주제카테고리에 기반한 내용분석 결과, 외국의 경우에는 지속적으로 연구가 증가하고 있었으며, electronic resources and collection 관련 연구의 비중이 높았다. 한국의 경우도 역시 동일 주제영역인 electronic resources and collection의 비중이 높았고, 계량서지학적인 연구의 비중이 높은 것으로 나타났으나, 2000년부터 2010년까지 의학정보관리 영역 연구의 증가는 나타나지 않았다.

웹 환경에서의 정보 시각화와 의사결정과의 상관관계 (The Effects of Different Information Visualizations on Decision Quality in a Web Environment)

  • 정원진
    • 한국경영과학회지
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    • 제33권1호
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    • pp.51-69
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    • 2008
  • Depending on the ways of information visualization, information can be interpretable, easy to understand, and represented concisely and consistently. This study explores the effects of different information visualizations on decision quality in a Web environment by conducting a laboratory experiment. The results demonstrated that the effects of information visualizations on decision quality were significant. The findings suggest that information users in a Web environment can expect to improve their decision quality by enhancing information visualizations. This research extends a body of research examining not only the effects of factors that can be tied to human decision-making, but also the predictions of various information visualization usages in a Web environment.