• Korean Journal of Social Welfare Studies
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• v.44 no.3
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• pp.31-56
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• 2013

The purpose of this study was to investigate the changes that family caregivers have experienced since using the Korean Long-Term Care Insurance(LTCI) system. In-depth interviews were conducted to determine how the services offered within the LTCI program had affected family caregiving and what changes they had incurred. Results from the qualitative content analysis show that the LTCI program significantly reduced the caregiving burden among family caregivers although burdens that family caregiver perceived varied greatly depending on the types of service that the family selected, and assigned family caregivers different identities and diverse roles(i.e., service user, family caregiver, certified care provider) depending on the service they use. The phenomenon of 'certified family care provider', which was not an intention of LTCI, demonstrates the practical need of elderly persons who require both care and the comfort of family and economic status of the family. Despite the positive impact of the LTCI policy on the family caregivers' burden and family relationship, the current LTCI system should be modified in order to better meet the needs of beneficiaries and their family caregivers.

• The Journal of Society for e-Business Studies
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• v.23 no.4
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• pp.1-17
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• 2018

Recently, most online firms are trying to provide personalized services based on customer's data. However, customers are reluctant to give their information to online firm because of concerns about data breach. Online firms are seeking to increase their trust by ensuring the protection of personal information for customers through privacy seal (e.g. e-privacy) or data breach insurance. This research examines the effects of privacy assurance(i.e. privacy seal, data breach insurance) on consumer behavior in online environment. An experiment based on the hypothetical scenario was conducted using a between-subjects 2 (type of privacy assurance) + 1 (control) design. We found that both privacy seal and data breach insurance increased perceived privacy trust. In addition, privacy seal has a positive effect on the intention to provide personal information through perceived privacy trust. Finally, in the case of the group with a high (low) disposition to trust, higher perceived privacy trust is formed through privacy seal (data breach insurance). Theoretical and practical implications are discussed.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.231-236
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• 2018

In order to survive the competition, companies are developing new knowledge, applying and communicating, and accumulating numerous knowledge management activities. Therefore, it is important to establish and operate an effective knowledge management system to introduce and utilize effective knowledge management. So, the purpose of this study is to confirm the relation between the learning orientation of the organization and the knowledge management which are the main results in the knowledge management. In other words, this study investigated how the knowledge management system of a company affects the learning orientation of the corporate members, so as to be a basis for establishing the direction of knowledge management in the future. This study synthesized theory and previous studies, developed hypotheses and research models, and conducted empirical analysis through questionnaire surveys. This study is analyzed that knowledge management system has a positive effect on learning growth will. In addition, it was confirmed that the knowledge management system has a statistically significant relationship with the intention of internal improvement. Therefore, for the successful operation and management of the support management system, maintenance of the system that can focus on the strategic and appropriate learning model of the organization and the role of the organization member is an important variable. The results of this study are expected to provide meaningful guidance not only in the practical field but also in the study of the organization's knowledge management system.

• Knowledge Management Research
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• v.22 no.1
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• pp.287-308
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• 2021

This study aims to explore how the effects of the perceived social presence on trust and live chat adoption intention vary with the types of live chats in e-commerce context. As technology develops, live chat with the seller in e-commerce is rapidly replaced by AI-assisted live chat called chat-bot. However, it is not well known how the buyers perceive the difference between the chat with seller and the chat-bot. This study therefore proposes first, the perceived social presence toward the seller will influence trust and the live chat adoption. Second, the effects of social presence will be stronger when using live chat with seller than using chat-bot. To validate, we collect data from 232 e-commerce users and confirm the first proposition. However, the higher level of the social presence effect of live chat with seller is not clearly revealed. This study is expected to provide researchers and managers who are interested in AI-based chatbots with useful theoretical and practical implications.

• Journal of the Society of Disaster Information
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• v.18 no.1
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• pp.173-181
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• 2022

Purpose: The purpose of this study was to examine the safety awareness and safety behaviors of personal assistant for visual impairments. Method: This study was targeted at 263 personal assistant for blind people from May to June 2021. Research subjects who wished to participate in the study expressed their intention to participate through the recruitment documents and gave written consent before participating in the study. Result: First, the safety awareness and safety behavior were high among the personal assistants who had practical fire extinguisher practice experience and education on how to act in a disaster situation. In addition, when the emergency rescue method was educated, the life safety awareness and fire safety awareness were high, but there was no difference in the awareness of disaster safety, and the safety behavior was higher. Third, the higher the life safety awareness, fire safety awareness, and disaster safety awareness of personal assistant for the visually impaired, the higher the safety behavior. Conclusion: This study revealed that it is important to provide appropriate safety education to personal assistant and implement a program to raise safety awareness so that the visually impaired can live a safer life.

• Journal of Internet of Things and Convergence
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• v.8 no.5
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• pp.85-91
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• 2022

In the IOT social environment, which emphasizes the convergence of science and technology and emotion, this study aims to explore the experience and meaning of the experience while participating in the design convergence class based on the operation of the Learning community of Chinese graduate students majoring in design. To this end, an implementation study was conducted by visualizing various research problems using a design-based inquiry method for 12 graduate students attending T University. The design-oriented convergence class was conducted in a small group with content that was deepened into a visual strategy by the expression technique given by the external environment and the learner's own inner motivation. In order to express the perspective and intention of the research problem in the research, the convergence design research expressed using various visual strategies such as metaphorical use and analysis of visual data in the research process and sensory approach to the research problem was presented in a form that expresses the creative thinking process. As a way of exploration, the teaching method of presenting results based on various experiences suggests changes in new teaching formats, practical knowledge sharing by instructors, and community participation by learning participants.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.553-564
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• 2021

This study was conducted to understand the effects of participation perception, self-efficacy, self-esteem, and empowerment on self-support intention of self-support work project participants. For this study, a survey was conducted on participants in the self-support work project within the G-gu area. As a result of the study, it was found that the participation perception, self-efficacy, and empowerment of participants in the self-support project had a positive (+) effect on the self-support will. Also, in the process where participants' perceptions of participation, self-efficacy, and self-esteem affect the will to self-support, it was found that empowerment partially mediated participation perception and self-efficacy and fully mediated self-esteem. Based on these results, the following are practical suggestions for improving self-support project participants' will to self-support as follows. First, systematic training courses are needed in the application and selection of recipients, establishment of self-support plans, and gateway training courses so that participants in self-support projects can correctly recognize self-support projects. Second, it is necessary to systematize the case management system provided by the self-help center and re-establish the role in order to strengthen the participants' hope for self-reliance. Third, it is necessary to identify the strengths of the participants in the self-support project, create results for self-support, and operate a program that strengthens the latent motivation to solve their own problems and change their behavior. Fourth, the empowerment of participants and professional ability of practitioners should be strengthened so that participants can solve the alienation and social exclusion experienced in the process of participating in the project.

• Korea Journal of Hospital Management
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• v.27 no.2
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• pp.1-15
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• 2022

Purposes: The purpose of this study is to examine the effects of health service quality and perceived risks of Korean hospitals on the satisfaction and revisit of Kazakhstan's customers. Among two classified groups: health service providers and health service receivers, this study aims to identify the effects of health service receivers in Kazakhstan's health service quality and perceived risks on customer satisfaction. Methodology: Hypotheses were developed upon the explanations on health service quality, perceived risks, customer satisfaction, and revisit, advanced by prior literature. A survey was conducted on the effects of health service receivers in Kazakhstan's health service quality and perceived risks on customer satisfaction and revisit. The proposed hypotheses were confirmed by examining validity and reliability of the collected data, followed by regression analysis. Findings: First, the five dimensions: reliability, responsiveness, assurance, empathy, and tangibles showed a positive correlation between the impacts of health service quality and customer satisfaction of Korean hospitals. Second, the physical risk, social risk, time-loss risk showed a negative correlation. Lastly, the relation between customer satisfaction and revisit showed a positive correlation. Practical Implication: Health service quality and perceived risks were identified to impose significant effects on Kazakhstan customers. The identified results suggest that Korean hospitals should implement management strategies based on the customers' satisfaction factor.

• Informatization Policy
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• v.29 no.3
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• pp.82-104
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• 2022

One of the interesting social phenomena in short-form video platforms is the hashtag challenge wherein ordinary users are encouraged to create by imitating short viral videos on a particular theme. Despite the increasing popularity of hashtag challenges, theoretical discussion on related user behavior is still very insufficient. In this study, we attempted to examine the impact of micro-influencers in order to understand users' willingness to participate in hashtag challenges. For this purpose, the para-social interaction theory and imitation behavior literature were adopted as key theoretical basis. In an empirical investigation using 243 survey data from TikTok users, our study found that a user's illusion of intimacy with a micro-influencer (i.e., para-social interaction) had significant positive impact on the intention to participate in a hashtag challenge. This study also showed that the degree of para-social interaction in a short-form video platform was determined by both media content-related factors and media character-related factors (i.e., content attractiveness, physical attractiveness, and attitude homophily). Our work in this study provided significant theoretical and practical implications on how to leverage micro-influencers for the success of hashtag challenges in a short-form video platform.

• Journal of the Korea Society of Computer and Information
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• v.28 no.8
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• pp.21-30
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• 2023

The study proposes a model that utilizes Python-based deep learning text classification techniques to detect the legality of illegal financial advertising posts on the internet. These posts aim to promote unlawful financial activities, including the trading of bank accounts, credit card fraud, cashing out through mobile payments, and the sale of personal credit information. Despite the efforts of financial regulatory authorities, the prevalence of illegal financial activities persists. By applying this proposed model, the intention is to aid in identifying and detecting illicit content in internet-based illegal financial advertisining, thus contributing to the ongoing efforts to combat such activities. The study utilizes convolutional neural networks(CNN) and recurrent neural networks(RNN, LSTM, GRU), which are commonly used text classification techniques. The raw data for the model is based on manually confirmed regulatory judgments. By adjusting the hyperparameters of the Korean natural language processing and deep learning models, the study has achieved an optimized model with the best performance. This research holds significant meaning as it presents a deep learning model for discerning internet illegal financial advertising, which has not been previously explored. Additionally, with an accuracy range of 91.3% to 93.4% in a deep learning model, there is a hopeful anticipation for the practical application of this model in the task of detecting illicit financial advertisements, ultimately contributing to the eradication of such unlawful financial advertisements.