• 정보기술과데이타베이스저널
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• 제6권1호
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• pp.73-88
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• 1999

There have been a series of debates to determine whether it would be possible to forecast dynamic systems such as stock markets. Recently the introduction of chaos theory has allowed many researchers to bring back this issue. Their main concern was whether the behavior of stock markets is chaotic or not. These studies, however, present divergent opinions on this question, depending upon the method applied and the data used. And the issue of predictability based on the nonlinear, chaotic nature was not dealt extensively. This paper is to test the nonlinear nature of the Korea stock market and accordingly attempts to predict its behavior. The result indicates that our stock market represents a chaotic behavior. We also found out based on our simulation that executing buy/sell transactions based upon forecasts which were derived using the local approximation method outperforms the decision of holding without a buy/sell transaction.

• 간호행정학회지
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• 제21권4호
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• pp.447-456
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• 2015

Purpose: The purpose of the study was to identify factors affecting the innovative behavior of general hospital professional staff. Methods: In the final analysis, the study focuses on the 442 structured questionnaires received from the professional staff (doctors, nurses, medical technicians, and administrative staff) of H Hospital, a public medical foundation. Data were collected from August 1 to 31, 2014. The SPSS/WIN 19.0 program was used for data analysis which included t-test, ANOVA, $Scheff\acute{e}$ test, Pearson correlation coefficients, and multiple regression analysis. Results: Multiple regression showed that factors affecting innovative behavior of hospital professional staff were conditional reward, innovation-oriented culture, education, and job (Adj $R^2=.317$). Conclusion: The results of this study suggest that it is necessary for the leader to demonstrate leadership with innovation and transaction in harmony to cultivate innovative behavior in hospital staff. Also, positive support and role in the hospital organization are fundamental to developing the strengths that each type of culture possess on the basis of the organizational culture of hospital, enabling hospital staff to exhibit their best voluntary innovative behavior.

• KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
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• 제11B권4호
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• pp.121-128
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• 2001

Numerical schemes for the simulation of the cold gas flow in the SF6 puffer type circuit breaker is presented. The governing equation is axisymmetric compressible Euler Equation and FVM is used to analyze the behavior of flow. The upwind scheme is used to avoid numerical instability and MUSCL is used to obtain high order accuracy. For the efficient calculation, AF-ADI scheme is used. The simulation result shows good agreement with the experimental data.

• 마케팅과학연구
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• 제6권
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• pp.167-184
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• 2000

Previous models of consumer post-purchase evaluation behavior have treated customer satisfaction as a transaction-specific construct. In the present paper, a conceptual framework that describes customer satisfaction measurement as a process is developed. The framework explains customer satisfaction as a dynamic process encompassing five stages-search, interaction, experience, service, and longevity. It is proposed that organizations should develop information systems to measure customer satisfaction during all five of the stages and disseminate such information throughout the organization as part of their Total Quality Management efforts.

• KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
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• 제5B권1호
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• pp.1-5
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• 2005

The vector magnetic property is defined as the relationship between the magnetic field strength vector H and the magnetic flux density vector B. It is very important for the development of high efficiency and the high-density electric machines. The electrical steel sheet for the machine core shows the remarkable vector behavior by the high magnetic flux density level. In this paper, the magnetic characteristic analysis using E&S2 model is introduced as the useful technology for the design and development.

• 한국의류학회지
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• 제24권6호
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• pp.907-917
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• 2000

Although interest in the potential and actual usage of the Internet as a transaction medium is increasing, the market for fashion merchandise on the Internet in Korea has yet to take off. As the Internet environment is expected to bring about a transformation of conventional consumer buying behavior, the purpose of this exploratory research is to investigate the buying behavior of fashion products on the Internet to identify relevant concepts and generate hypotheses for further empirical research. The research methods selected for the study were observation and in-depth interview. Twelve subjects who had purchased fashion products on the Internet were selected and interviewed. Those who could not participate in face-to-face in-depth interviews because of the geographic locations were interviewed on-line. The results are as follows: First, subjects went through the stages of shopping motivation stage, site choice behavior stage, in-site behavior stage, and postpurchase behavior stage. Second, a model was extracted for each shopping stage, and a final model was completed based on comparisons with the participants processes. The information content of each phase was discussed. Finally, each participant was classified using their purchasing process, revealing six possible mixed usage patterns of the Internet marketing system and the traditional marketing system.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.231-240
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• 2020

E-commerce development led to the explosion of online payment. Consumers have many choices when deciding on the online payment method for each transaction. Using a combination of both qualitative and quantitative methods with the help of SPSS AMOS version 22.0, the article explores the factors that influence consumers' online payment method decision behavior in Vietnam. Research results show that awareness of usefulness, awareness of risk, awareness of trust, awareness ease of use, product uncertainly perception and perceived behavioral control have effects on the behavior of deciding on online payment methods. Awareness of risk has the strongest negative impact on online payment method decision behavior and awareness of usefulness has the strongest positive impact on online payment method decision behavior. Based on these important results, the article proposes a number of implications: (i) continuing to invest and upgrade modern technology to ensure customer information absolutely confidential; (ii) converting all ATM cards on the market to EMV chip standard card technology; (iii) improving service activities, quickly handle things to create confidence for customers; (iv) credit institutions operating in the field of online payment linked to e-commerce sites, supermarkets, convenience stores, restaurants must ask partners to increase transparency for the products.

• Journal of Information Science Theory and Practice
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• 제10권1호
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• pp.73-88
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• 2022

This exploratory study aims to understand the potential of log data analysis and expand its utilization in user research methods. Transaction log data are records of electronic interactions that have occurred between users and web services, reflecting information-seeking behavior in the context of digital libraries where users interact with the service system during the search for information. Two ways were used to analyze South Korea's National Digital Science Library (NDSL) log data for three days, including 150,000 data: a log pattern analysis, and log context analysis using statistics. First, a pattern-based analysis examined the general paths of usage by logged and unlogged users. The correlation between paths was analyzed through a χ² analysis. The subsequent log context analysis assessed 30 identified users' data using basic statistics and visualized the individual user information-seeking behavior while accessing NDSL. The visualization shows included 30 diverse paths for 30 cases. Log analysis provided insight into general and individual user information-seeking behavior. The results of log analysis can enhance the understanding of user actions. Therefore, it can be utilized as the basic data to improve the design of services and systems in the digital library to meet users' needs.

• 한국전자거래학회지
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• 제18권3호
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• pp.211-222
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• 2013

지리적으로 인접되어 있으면서 이동관점에서 같은 역할을 수행하는 Zone의 파악은 사람들의 이동흐름을 이해하고 도시개발 및 이동편의성 개선 등을 위한 중요한 정보로 활용된다. 그러나 기존의 연구는 특정 지점간의 이동과 Zone 발견을 개별적으로 수행하여, 거시적 관점에서의 이동패턴을 이해하는 데에는 한계가 존재한다. 따라서 본 연구에서는 스마트카드 전자거래 빅데이터로부터 Zone들을 발견하고 동시에 Zone들 간의 관계를 설명하는 클러스터링 기반의 이동패턴 분석기법을 제안한다. 또한, 설명력과 종속성 관점에서 이동패턴을 정량적으로 평가하는 지표를 제안한다. 제안된 분석기법을 이용하여 서울시 지하철에서 수집된 실 데이터를 분석하여 서울시에서의 이동패턴을 밝혀내고 시각화하였다.

• 한국정보통신학회논문지
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• 제16권8호
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• pp.1701-1710
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• 2012

최근 저탄소 녹색성장이 세계적 관심사로 등장하면서 온실가스 배출을 최소화하기 위한 핵심으로 스마트 그리드라는 개념이 출현하게 되었다. 이와 같은 스마트 그리드는 전력 서비스의 효율성, 중요성, 신뢰성, 경제성, 지속성을 향상시키기 위해 모든 공급자와 소비자의 전력 생산, 공급, 소비 등을 기존 전력망과 정보통신기술을 접목하여 제공하는 시스템이다. 스마트 그리드를 통해 사용자는 자신의 집에서 사용하는 가전기기의 개별적 사용량 및 총 사용량을 실시간으로 알아볼 수 있으며, 전력 사용량이 최고에 달할 때에는 공급자가 특정 가전기기의 사용량을 제한하는 방식 등으로 효율적인 전력 공급을 수행할 수 있게 된다. 그러나 이와 같이 수집된 사용자의 정보가 노출될 경우, 전력 소비 양상, 생활 방식, 주거형태 등이 노출되는 심각한 프라이버시 문제가 발생하게 된다. 따라서 본 논문에서는 가정에서 전송되는 정보에서 어떠한 가전기기가 얼마만큼의 전력량을 사용했는지 알 수 없도록 보호하는 프로토콜을 제안한다. 본 제안 방식을 통해 전력회사라 하더라도 사용자의 패스워드 없이 어떠한 가전기기가 전력을 사용한지 알 수 없도록 한다.