• Management & Information Systems Review
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• v.33 no.5
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• pp.213-232
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• 2014

Sensitivity to online store stimuli (VMD attributes) and response (online store loyalty) may depend upon consumers' regulatory focus (emotional state). In other words, consumers' sensitivity to online store atmosphere and consequent store loyalty can be influenced by the match between their regulatory focus (promotion focused vs. prevention focused) and the type of the online store VMD benefits Study 1 results indicate consumers have a different evaluation about online store atmosphere depending on their regulatory focus. Promotion-focused consumers were significantly more sensitive to visual appeal and entertainment attributes of online store atmospherics than prevention-focused consumers. Conversely, prevention-focused consumers were significantly more sensitive to security and privacy attributes of online store, than promotion-focused consumers. Study 2 results indicate for promotion-focused shoppers, hedonic value toward online store atmosphere was associated with greater online store loyalty. In contrast, prevention-focused shoppers were influenced more by the utilitarian attributes on online store loyalty than promotion-focused shoppers. The current findings indicate that shoppers with promotion-focused are more easily persuaded by visual and entertainment-oriented online store cues. Conversely, shoppers with prevention-focus are more easily persuaded by safety and privacy-oriented online store cues.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.42 no.6
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• pp.63-74
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• 2005

In Electronic Commerce, the latest most of the personalized recommender systems have applied to the collaborative filtering technique. This method calculates the weight of similarity among users who have a similar preference degree in order to predict and recommend the item which hits to propensity of users. In this case, we commonly use Pearson Correlation Coefficient. However, this method is feasible to calculate a correlation if only there are the items that two users evaluated a preference degree in common. Accordingly, the accuracy of prediction falls. The weight of similarity can affect not only the case which predicts the item which hits to propensity of users, but also the performance of the personalized recommender system. In this study, we verify the improvement of the prediction accuracy through an experiment after observing the rule of the weight of similarity applying Vector similarity, Entropy, Inverse user frequency, and Default voting of Information Retrieval field. The result shows that the method combining the weight of similarity using the Entropy with Default voting got the most efficient performance.

• Informatization Policy
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• v.20 no.3
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• pp.63-85
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• 2013

Drawing on Protection Motivation Theory(PMT), this study attempts to clarify antecedents that influence the intention to protect individuals' privacy on the Internet. Protection motivation forms through individuals' cognitive appeal involving threat and efficacy. Then protection motivation causes privacy behavioral change. Protection motivation factors are established privacy trust and privacy risk, which are related to privacy attitude and belief. This proposed model is empirically analyzed by utilizing structural equation analysis(SEM). According to the result of the empirical analysis, it is founded that almost paths have statistically significant explanatory power except path from efficacy to privacy risk and path from privacy trust to privacy behavioral intention. This study shows powerful evidence of antecedent factors based on protection motivation of individuals' privacy behavioral intention in online environment.

• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.399-405
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• 2023

This study analyzed the cause of Corona Blue and tried to find out ways to improve the mental health of our society. The external activities decreased and the household economy got worse after COVID-19, so Corona Blue increased. The media use and the negative media information problems increased Corona Blue. The online activities had no effects. In order to relieve Corona Blue, it was suggested to increase the external activities personally, to make the social and economic conditions of women and the economic weaker better, to improve the quality of media disaster information, and for the media consumer to use the media properly.

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.209-213
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• 2023

최근 자연어 이해 분야에서 대규모 언어모델 기반으로 프롬프트를 활용하여 모델과 상호작용하는 방법이 널리 연구되고 있으며, 특히 상담 분야에서 언어모델을 활용한다면 내담자와의 자연스러운 대화를 주도할 수 있는 대화생성 모델로 확장이 가능하다. 내담자의 상황에 따라 개인화된 상담대화를 진행하는 모델을 학습시키려면 동일한 내담자에 대한 과거 및 차기 상담대화가 필요하지만, 기존의 데이터셋은 대체로 단일 대화세션으로 구축되어 있다. 본 논문에서는 언어모델을 활용하여 단일 대화세션으로 구축된 기존 상담대화 데이터셋을 확장하여 연속된 대화세션 구성의 학습데이터를 확보할 수 있는 프롬프트 기반 데이터 증강 기법을 제안한다. 제안 기법은 기존 대화내용을 반영한 요약질문 생성단계와 대화맥락을 유지한 차기 상담대화 생성 단계로 구성되며, 프롬프트 엔지니어링을 통해 상담 분야의 데이터셋을 확장하고 사용자 평가를 통해 제안 기법의 데이터 증강이 품질에 미치는 영향을 확인한다.

• Journal of Digital Convergence
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• v.19 no.1
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• pp.77-88
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• 2021

Cloud computing is getting a lot of attention by many people and businesses due to IT environmental changes such as the proliferation of smart devices, the increase of digital data, and the cost of IT resources. More individuals use personal cloud computing services for storing and managing information and data. Therefore, this study proposed determinants that are expected to have an influence on evaluating the value of cloud computing based on the value-based adoption model, examining the relationship between the continuous use intention of cloud computing. Results of the study show that usefulness, convenience of information access, extensibility had a positive impact on perceived value while privacy concerns and costs had a negative impact on perceived value. In addition, perceived value was found to have a significant effect on the intention to continue use of cloud computing. Finally, trust was found to have a significant effect on the perceived value and the intention to continue use of cloud computing. The findings are expected to provide useful information for understanding the factors that individual users consider important in the steadily growing cloud computing market.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.175-176
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• 2019

본 논문에서는 내부마케팅의 실행요인 및 개인의 행동과 업무 수행수준에 영향을 미치는 심리적 변인인 자기효능감을 살펴보고, 내부마케팅과 자기효능감이 기업의 조직 구성원들의 행동을 유도하여 조직몰입과 직무만족에 영향을 미치는지를 확인하고자 하였다. 실증적으로 확인하기 위한 구체적인 평가의 방법으로는 수집된 자료를 SPSS21.0 및 AMOS21.0을 이용하여 실증분석을 실시하였다. 연구결과를 요약하면 기업의 내부마케팅 활동과 자기효능감은 심리적 영향에 따라 조직 구성원들의 직무만족과 조직몰입에 정(+)의 영향을 미치는 것으로 분석되었다. 이는 내부 직원들의 업무 지향적 태도 형성을 위해 조직의 방침과 목적달성을 공유하기 위한 기업의 역량강화 활동과 조직 구성원들의 심리적 관리가 필요한 것으로 판단된다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.1
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• pp.227-235
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• 2016

As various measures of law observance obligations such as mandatory obligation of privacy impact assessment (PIA) for public institutions and authorization of information security management system (ISMS) are put into practice, increase in demand for information security consulting and securement of information security consultants are emerging as a major issue. The purpose of this study is to empirically investigate what core competencies information security consultants should possess and how much they actually possess them. By analyzing the differences in perception between practitioners and managers on core competencies, this study understands difference of views between the two groups and suggests ideas for cultivation of information security consultants.

• Journal of the Korea Society of Computer and Information
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• v.18 no.9
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• pp.153-163
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• 2013

As the number of Smartphone users increases, mobile advertising market has been expanding rapidly. In line with this, the ways to evaluate mobile advertising effectiveness are diversified, and engagement is one of the crucial qualitative and multi-dimensional evaluation methods of mobile advertising. Thus, the purpose of this study is to identify key antecedents and consequences of mobile advertising engagement, and examines the structural relationships among those research variables. Informativeness and personalization were selected as antecedents of engagement, trust and e-WOM intention were selected as consequences of engagement based on the review of previous studies. Data collected from survey was used to assess research hypotheses. Results show that informativeness and personalization have significant and positive effects on engagement, and engagement influences on trust and e-WOM intention. In addition, trust is proven to be positively related to e-WOM intention.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.1
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• pp.7-18
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• 2013

These days, the teaching and learning system has been increasing for the rapid advancement of the information technologies. We can access education systems of good quality anytime, anywhere and we can use the individually personalized teaching and learning system depending on developing the wireless communication technology and the multimedia processing technology. The more the various systems develop, the more software security systems become important. There are a lot kind of fault analysis methods to evaluate software security systems. However, the only assessment method to evaluate software security system is not enough to analysis properly on account of the various types and characteristic of software systems by progressing information technology. Therefore, this paper proposes an integrative method of Fault Tree Analysis (FTA) and Fault Modes and Effect Analysis(FMEA) to evaluate the security of e-teaching and learning system as an illustration.