• 정보관리학회지
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• 제15권2호
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• pp.89-118
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• 1998

CLR-OPAC 연구와 그 이후에 수행된 주요 온라인 열람목록의 이용자연구 결과를 분석, 종합하였다. 각 연구에서 다루고 있는 내용에 따라 이용자의 개인적 특성, 이용자 교육, 이용자 인터페이스의 세가지 범주로 나누어 기술하였다. 이용자 연구에 사용되는 각 데이터수집방법의 장단점과 각 방법을 통하여 입수할 수 있는 데이터의 유형에 대해서도 언급하였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2005년도 추계종합학술대회
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• pp.229-232
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• 2005

Many kinds of communication systems will be co-existed in the next generation communication environment. Location management will be one of the most important strategies in the future communication network. Whether the user gets the service in any kind of communication system, it is required to know the location of the user properly and manages this location information efficiently. In this paper, mobile IP and WCDMA systems are considered as next generation communication systems. We improve the performance of communication in heterogeneous networks adjusting the conventional region-based location management strategy in homogeneous network. This strategy can be adjusted dynamically to the communication system on the basis of packet-to-mobility ratio (PMR) in mobile IP system or call-to-mobility ratio (CMR) in WCDMA system, lots of different system parameters, and movement pattern of the user. This can be also based on the performance analysis with considering signaling cost and database access cost.

• 한국농공학회:학술대회논문집
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• 한국농공학회 2002년도 학술발표회 발표논문집
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• pp.285-288
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• 2002

For real-time flood forecasting and effective control flood at the Youngsan estuary dam, the Flood Forecasting and Control User Interface System II (FFCUS II) has been developed. This paper describes the features and application of FFCUS II. FFCUS II is composed of the database management subsystem, the model subsystem, and the graphic user interface. The database management subsyem collects rainfall data and stream flow data, updates, processes, and searches the data. The model subsystem predicts the inflow hydrograph, the tide, forecasts flood hydrograph, and simulates the release rate from the sluice gates. The graphic user interface subsystem aids the user's decision-making process by displaying the operation results of the database management subsystem and model subsystem.

• 품질경영학회지
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• 제39권4호
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• pp.543-555
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• 2011

In recent years, Social Network Service (SNS) have increasingly gained popularity and have simplified and amplified social interaction between online users. This paper mainly discusses the user satisfaction and intention of continuous use. Based on the literature review, two hypotheses were developed and research model is built for testing. Data was collected through questionnaire survey from 260 SNS college student user. The empirical results shows a significant mediating effect for user satisfaction in the relationship between SNS' quality factors and intention to continued use.

• 품질경영학회지
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• 제35권3호
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• pp.100-106
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• 2007

The objective of this paper is to analyze the effect of the defense quality certification system on the military user's dissatisfaction. In this paper, an empirical research is performed to compare the effectiveness of ISO 9000 : 2000 and Korea Defense Quality Certification system 0050-9000. The research result shows that (1) the Defense Quality system is better than ISO 9000 : 2000 to reduce the military user's dissatisfaction level. (2) the Quality Assurance types 4, 5 have more user's dissatisfaction than types 2, 3. (3) small and medium sized companies have more user's dissatisfaction than large companies.

• 품질경영학회지
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• 제47권1호
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• pp.125-138
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• 2019

Purpose: The present research was designed to explore a causal relationship among SNS prosumer characteristics, relationship quality, user satisfaction, and loyalty intention, and we intended to explore mediating role of relationship quality in the causal relationship. Methods: As survey tool, questionnaire that had obtained validity and reliability through literature survey and pretest survey, and sample 214 was analyzed using SEM analysis method. Results: All theoretical relationships, except the relationship between information provision and relational quality, proved to be significant. The relationship quality plays an important intermediary role in the research model. Conclusion: The characteristics of SNS prosumer activity can be summarized by interaction and informational provision. To increase user satisfaction and loyalty, it is necessary to support these characteristics and strengthen relationships with customers.

• 융합경영연구
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• 제10권4호
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• pp.25-34
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• 2022

Purpose: Technology and innovation drive new mobile application for ojek online. Using the theory of technology acceptance model and perceived risk theory, the researcher wants to find how these factors affect user's intention to use GO-FOOD that leads to technology adoption. Research design, data and methodology: The researcher uses GO-FOOD users that located in East Java, Indonesia for the object of study. Results: The findings of the research discovered that perceive usefulness and perceive ease of use do not significantly affect user's behavioral intention while perceive risk is significantly affecting the user's behavioral intention. Conclusions: The findings suggested that GO-FOOD or similar application should focus more on reducing or eliminating user's perception of risk towards the mobile application

• 디지털산업정보학회논문지
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• 제18권2호
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• pp.49-59
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• 2022

This study aims to understand the effects of perceived usefulness, perceived ease, and expected matching on user satisfaction and continuous use intention for the learning management system (LMS). To this end, an online survey was conducted on K University students located in Chungcheongbuk-do, and 488 data were analyzed and utilized. First, it was found that the expected match of the learning management system had an effect on perceived usefulness and perceived ease. Second, it was found that perceived usefulness, perceived ease, and expected matching had an effect on user satisfaction. Perceived usefulness, user satisfaction and perceived ease of use were found to have an effect on the intention to continue using. It can be seen that the improvement of the quality of the university education system has an effect on the improvement of learners' learning effects and satisfaction. Accordingly, it is necessary to seek various ways to continuously manage the quality of the learning management system.

• Asia pacific journal of information systems
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• 제16권3호
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• pp.159-176
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• 2006

Collaborative filtering is one of the popular techniques for personalized recommendation in e-commerce. In collaborative filtering, user profiles are usually managed per product category in order to reduce data sparsity. Product diversification of Internet storefronts and multiple product category sales of e-commerce portals require cross-product category usage of user profiles in order to overcome the cold start problem of collaborative filtering. In this paper, we study the feasibility of cross-product category usage of user profiles, and suggest a method to improve recommendation performance of cross-product category user profiling. First, we investigate whether user profiles on a product category can be used to recommend products in other product categories. Furthermore, a way of utilizing user profiles selectively is suggested to increase recommendation performance of cross-product category user profiling. The feasibility of cross-product category user profiling and the usefulness of the proposed method are tested with real click stream data of an Internet storefront which sells multiple product categories including books, music CDs, and DVDs. The experiment results show that user profiles on a product category can be used to recommend products in other product categories. Also, the selective usage of user profiles based on correlations between subcategories of two product categories provides better performance than the whole usage of user profiles.

• 디지털산업정보학회논문지
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• 제19권1호
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• pp.91-107
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• 2023

With the recent expansion of the commerce ecosystem, a large number of user evaluations have been produced. Accordingly, attempts to create business insights using user evaluation data have been actively made. However, since user evaluation can change after the user experiences the product, it is difficult to say that the analysis based only on reviews immediately after purchase fully reflects the user's evaluation of the product. Moreover, studies conducted so far on user evaluation have overlooked the fact that the length of time a user has used a product can affect the user's product evaluation. Therefore, in this study, we build a model that predicts the direction of change in the user's rating after use from the user's rating and reviews immediately after purchase. In particular, the proposed model reflects the product's period of use in predicting the change direction of the star rating. However, since the posterior information on the duration of product use cannot be used as input in the inference process, we propose a structure that utilizes information about the product's period of use using an auxiliary classifier. As a result of an experiment using 599,889 user evaluation data collected from the shopping platform 'N' company, we confirmed that the proposed model performed better than the existing model in terms of accuracy.