• CRM연구
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• v.2 no.1
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• pp.53-72
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• 2009

Customer's reward program is a prevailing promotional technique. Recently, both management and marketing fields have been interested in the failure of customer's reward program. However, there are few empirical research regarding this. Therefore, this study examined a research model that employs justice in processing of customer's reward program perceived by customer to explain commitment(calculative commitment, affective commitment) and complaining behavior which is mediated by negative affect. Data was collected from the customers who dissatisfied with their reward programs. For the analysis, frequency, cronbach' ${\alpha}$ and path analysis were used as statistical test tool. Additionally, SPSS 12.0 and AMOS 4.0 were used for analyzing the hypotheses. As a result, proposed structural model largely supports the hypothesized framework and the major findings of this study are summarized as follows: First, distributive and interactional justice were negatively related to negative affect. But procedural justice didn't influence negative affect. Second, negative affect was negatively related to calculative commitment. But affective commitment wasn't influenced by negative affect. Third, negative affect was positively related to complaining behavior. Fourth, calculative commitment was negatively related to complaining behavior. But negative affect didn't influence complaining behavior. In conclusion, It can be posited that justice, negative affect, 2 forms of commitment and complaining behavior are important factors.

• Journal of Korean Home Economics Education Association
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• v.35 no.4
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• pp.33-45
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• 2023

The purpose of this study is to investigate the association between dietary behavior and related factors according to the generalized anxiety disorder (GAD) in adolescents. The results of analyzing demographic characteristics according to the GAD showed that gender, age, BMI, type of school, residence type, father's nationality, smoking and drinking experience, perceived health status, perception of body shape, economic status, academic achievement, physical activity, sedentary time and smartphone usage time were related to the GAD (p<0.01). The results of analyzing dietary behavior according to the GAD showed that the frequency of water intake, sweetened beverage intake, fast food intake, fruit intake and breakfast intake were related to the GAD (p<0.001). The results of analyzing depression and suicidality according to the GAD showed that depression, suicidal ideation, planning, and attempts were all related to the GAD (p<0.001). Even after adjusting for factors corresponding to demographic characteristics, it was confirmed that the level of GAD had a significant effect on depression and suicidality. This study is significant in that it provided basic data on adolescent mental health problems by analyzing dietary behavior and related factors according to the level of GAD.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.7 no.2
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• pp.91-95
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• 2007

Main goal of web recommendation system is to study how user behavior on a website can be predicted by analyzing web log data which contain the visited web pages. Many researches of the web recommendation system have been studied. To construct web recommendation system, web mining is needed. Especially, web usage analysis of web mining is a tool for recommendation model. In this paper, we propose web recommendation system using grid based support vector machines for improvement of web recommendation system. To verify the performance of our system, we make experiments using the data set from our web server.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06a
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• pp.152-154
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• 2012

스마트폰은 배터리를 사용하는 기기이기 때문에 전력 최적화가 매우 중요한 사안이다. 특별히, 많은 에너지가 소모되는 3G 네트워크 인터페이스에서, 불필요하게 대기하며 발생하는 Tail 에너지를 줄이기 위한 연구가 활발히 진행되어 왔다. 기존의 연구들은 사용자와 응용의 특성을 고려하지 않고 전송 예측 방법에 대해서도 논하고 있지 않아 실제 시스템에 적용하는데 한계가 존재한다. 본 논문에서는, 국내 망환경에서 적용 가능한 3G 모델을 통해 사용자의 응용 별 사용 경향성을 파악하고, 응용 별로 서로 다른 Tail 지속 시간을 선택하여 에너지를 최적화 할 수 있는 방법을 제시한다. 본 기법을 적용하였을 때, 10%의 지연 증가를 준수하며, 평균 34%의 네트워크 에너지를 줄일 수 있었다.

• Journal of Information Technology Services
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• v.14 no.2
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• pp.111-128
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• 2015

In this paper, we examined the effects of emotional and individual variables on flow in the usage of mobile application. We selected four relevant emotional and individual factors such as positive affect, negative affect, addiction and habituation. We also attempted to figure out the moderating role of communication in the effect of positive affect, negative affect, and addiction on the flow. For empirical analysis, we surveyed real users of mobile application and applied PLS (Partial Least Square) methodology for SEM (Structural Equation Modeling). As a result, we found that positive affect, addiction, and habituation have significant and positive impact on the flow. Furthermore, we also found that the moderating effects of communication on the relationships between positive/negative affect and communication are significant. Our findings provide important theoretical grounds for the effects of human behavior and emotion on the flow of mobile applications. Lastly, we also suggest significant managerial implications for the development mobile applications industry.

• The Journal of Information Systems
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• v.5
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• pp.205-248
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• 1996

Historically, the en-users' acceptance of the expert systems(ES) have generally been used as a proxy for the ES' implementation success by both practitioners and academicians. However, with regard to bank loan decisions, most loan officers approach the acquisition of an ES with apprehension. In order to overcome this skepticism, more research should focus on the behavioral aspects relate to systems acquisition and usage. This research applied Vroom's(1964) expectancy theory in an effort to predict end-users' motivation to use an ES in a bank loan decision context. Because human behaviors and judgements are nonlinear rather than linear functions, accurately predicting human behavior is very difficult. To increase the prediction power for end-users' motivation to use an ES in a bank loan decision context, this research used an artificial neural network (ANN) model. In this research, an attempt was made to evaluate adequacy of the surrogates by analyzing differences between real bank loan officers and student surrogates in applying expectancy theory to estimate bank loan officers' motivation to use ES in a bank loan decision context.

• The Journal of Information Systems
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• v.15 no.3
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• pp.35-53
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• 2006

Distance teaming systems have become popular tools for teaching and learning. The purpose of this study is to analyze influence of instructor factors and media richness on student's intention th use and performance in distance teaming. We used TAM as a theoretical foundation to explain student's behavior. The model was tested using LISREL analysis on the sample of 246 users rho have experience with the distance teaming systems. The results show that instructor factors such as luぉ style and attitude have partial effects on perceived usefulness, ease of use and media richness. In addition, results also show that both TAM variables and media richness strongly predict intention In use of the distance loaming system Finally, the usage intention has a positive effect on teaming performance. Implications of these findings are discussed for researchers and practitioners.

• Korea Journal of Hospital Management
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• v.13 no.1
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• pp.103-133
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• 2008

The purpose of this article is to find out consumers' behavior styles in using of medical services and their perceptions of medical services. To that end, methodologies used include SERVQUAL and a part of HBM model. SERVQUAL is consumer's content dimensions about some service and HBM is a Model of health beliefs. In particular, the purpose is to find out how their perceptions about two dimensions of HBM(perceived benefits, perceived barriers) influence their satisfaction and medical service usage. As a result, it reveals that 4 dimensions of SERVQUAL influence significantly to the perceived benefits in medical service. Our finding might have strategic implications needed for hospitals by consumers of medical services.

• Journal of Information Technology Services
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• v.10 no.3
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• pp.77-94
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• 2011

Since the general quality of life has been improving, people have become interested in "well-being." The widespread acceptance of the importance of "well-being" to quality of life has encouraged people to take more interest in getting health information online when they need it. Expansive use of online health information suggests that individual characteristics (i.e., gender and other traits), Website features, and perceived trust are related to the primary concern for many online health information consumers. This study examines whether familiarity, perceived security, and reputation of health information on various Websites influence the relationship of trust and intention to use by gender. These research results will contribute to the adoption of online health information by gender and, moreover, will provide companies with an understanding of key characteristics of consumers who use emoticons and provide useful implications for marketing strategies to current and future consumers.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2002.05a
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• pp.943-946
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• 2002

This paper presents atomization characteristics of cutting fluids. To analyze the behavior characteristics of cutting fluid, analytical approach and experimental measurement were performed to predict the aerosol size, velocity and concentration due to cutting fluid atomization mechanism in machining operation. The established analytical model which is based on atomization theory analyzes the cutting fluid motion and aerosol generation in machining process. The predictive models can be used as a basis for environmental impact analysis on the shop floor. It can be also facilitate the optimization of cutting fluid usage in achieving a balanced consideration of productivity and environmental consciousness.