• Asia pacific journal of information systems
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• v.27 no.3
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• pp.156-175
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• 2017

The proposed conceptual framework is based in the relationships among knowledge of personal information security, trust on the personal information security policies of parcel delivery service companies, privacy concern, trust in and risk of parcel delivery services, and user satisfaction with parcel delivery services. Drawing upon both cognitive theory of emotion and cognitive emotion theory that complement each other, we propose a research model and examine the relationships between cognitive and emotional factors and the usage of parcel delivery services. The proposed model is validated using data from customers who have previously used parcel delivery services. The results show a significant relationship between the cognitive and affective factors and the usage of parcel delivery services. This study enhances our understanding of parcel delivery services based on the consumers' psychological processes and presents useful implications on the importance of privacy and security in these services.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.8
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• pp.817-826
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• 2016

The importance of common life safety is getting growth with modern society progress. This paper shows the extended way of assessment of danger that outcomes better result than the previous assessment based on crime frequency assessment. The assessment of this paper involves time, illusion degree, floating population and the personal condition. The evidence theory is not beneficial when the number of component increases, the assessment is more complex than before. This research solves the problem through the fuzzy theory adoption. This paper shows more advanced result that can express better danger awareness and get the adjective expression.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.17 no.2
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• pp.141-148
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• 2006

Objectives : Internet became essential component in these days. This study primarily tried to find out the characteristics of high risk internet users through using the communication scale. Methods : We investigated levels of internet addiction using Internet Addiction Scale in 1,193 high school and middle school students. Participants were divided into 3 groups (high risk user group, potential risk user group, normal user group) according to the results from internet addiction scale. We additionally surveyed characteristics of internet use, and patterns of communication and Communication Scale based on Satir theory in 614 from 1,193 participants. Results : Boys showed higher tendencies for internet addiction than girls in internet addiction scale. There were significant differences in mean computer using time especially during weekends among 3 internet user groups. The distribution of communication types in each internet user group was similar and this finding coincided with previous study results. However high risk user group showed higher scores in each inadequate communication pattern such as placating, blaming, super-reasonable and irrelevant stance. Conclusion : These results suggest that adolescents who use internet in addictive patterns may have more problematic communication styles and these may be associated with poor interpersonal relationships.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.6
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• pp.1197-1206
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• 2023

To assess the risk level of a public restroom implemented in virtual reality, we sought to evaluate the spatial elements present in the restroom. To provide the theoretical foundation for the evaluation subjects and criteria, we introduced prior research that proposed a checklist to entance the safety of public restroom. To set up evaluation criteria, we analyzed and established based on the theories of Paul J. Brantingham and Patricia L. Brantingham, focusing on the interaction between space and criminals. Ronald V. Clarke's "Routine Activity Theory" was also introduced and incorporated into the evaluation approach. We analyzed based on the correlation between the criminal, user, and spatial elements of the public restroom in terms of the criminal's actions, the spatial relevance to crime, and user exposure during use. Using these criteria, we developed an algorithm to evaluate th spatial elements of public restroom. Based on this, we created an application, demonstrating the feasibility of developing on evaluation tool.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.5
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• pp.113-127
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• 2020

Based on the social exchange theory and innovation diffusion theory, this study is to identify the correlation between factors influencing investor's funding intention in crowdfunding and to analyze moderating effect of trust in the relationship of shared value, communication and individual innovation. The purpose of this study is to consider the funding trends of crowdfunding investors from a personal point of view through the results of the study and to help fundraiser of crowdfunding establish specifically strategies for financing. In order to conduct empirical analysis, an online survey was conducted on people who had participated in crowdfunding, and a total of 228 questionnaires were collected and a total of 186 responses were finally analyzed, excluding outliers. For data analysis, structural equation model analysis was conducted using SPSS 26.0 and Smart PLS 3.0. The results of this study showed that shared value in the relationship between fundraiser and investors has a significant effect on the perceived risk. High level of communication between fundraiser and investors showed positive effects on the level of commitment of the crowdfunding project and the innovation of the individual investor. And commitment had a positive effect on the funding intention. According to the results of this research, trust has moderating effect only in relationship between shared value and perceived risk. It is significant that investors share the value of fundraiser together is a motivation factor to fund in crowdfunding and an opportunity to recognize the risk. Through this study, it is expected to utilize them in establishing strategies for start-ups and marketing plans to raise funds through crowdfunding and to empirically identify factors influencing the funding intention through individual levels of crowdfunding investors.

• Journal of Korean Society for Quality Management
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• v.51 no.2
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• pp.203-221
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• 2023

Purpose: The purpose of the research is to explore the role of social media in attracting international patients for cosmetic services in South Korea during the COVID-19 pandemic. The study aims to conceptualize social media as an effective marketing tool for minimizing perceived risks associated with cosmetic services and increasing patient satisfaction. Methods: The study validated proposed hypotheses using the PROCESS macro for SPSS with overseas patients who received cosmetic treatment in private Korean plastic surgery clinics in Busan. Results: This study found that information delivery capability reduced perceived risk and contributed to patient satisfaction, while communication capability did not show any significant relationship with perceived risk and satisfaction. In addition, information delivery capability had a significant direct effect on patient satisfaction, but communication capability did not. Conclusion: It is expected that the outcomes of this study will broaden our understanding of the use of social media in reducing perceived risk and increasing satisfaction.

• Journal of Environmental Health Sciences
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• v.41 no.2
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• pp.102-115
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• 2015

Objectives: A learning organization was designed and implemented on the basis of the selection criteria and essential elements of knowledge translation theory. Methods: The learning organization was designed on the basis of biosafety harmonization criteria and risk management strategy and was implemented as the learning organization for biosafety management by the National Institute of Health, Korea Centers for Disease Control & Prevention. The effect of knowledge translation in the research institutions by evidence-based policy was verified. Results: The result of applying the knowledge translation theory involving all stakeholders showed a positive reaction in establishing and implementing biosafety management strategy and embodied risk assessment criteria and evoked sympathy with the necessity of learning and using of expert knowledge about risk assessment and risk management. All stakeholders initiated voluntarily action toward new human-network construction and communication between similar organizations. The learning organization's capability expanded the base of knowledge translation. Conclusion: These results showed that a learning organization could enhance the autonomous safety management system by diffusion of knowledge translation.

• Journal of Internet Computing and Services
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• v.20 no.3
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• pp.101-109
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• 2019

Based on the electricity sales and public consumption psychology during the online shopping festival, the purpose of this study is to investigate the factors that influence the reusing intention of the online shopping festival consumers. This research is focusing on The Theory of Reasoned Action(TRA) and The Technology Acceptance Model(TAM) to understand online shopping festival consumers' decision making process. The sampling is Chinese from 20s to 50s, who had participated in the online shopping festival.Findings suggests that first, the positive attitude of online shopping festival and subjective norms showed positive effects on online shopping festival consumers' reusing intention. Second, perceived usefulness, perceived ease and perceived enjoyment had statistically significant effects on online shopping festival consumers' reusing intention. Third, according to perceived risk perception of online shopping festivals, there were differences in factors affected the online shopping festival's reusing intention. In particular, the perceived ease of people who perceived risk higher, and the perceived usefulness of people who perceived risk lower had greatest impacts on reusing intention. Based on these findings, the implications and limitations of this study were discussed and suggestions for subsequent studies.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.1
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• pp.253-275
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• 2022

Niklas Luhmann is one of the most contentious and difficult theorist in sociology but follow-up studies on his theory gradually increase for recent 10 years. The purpose of this study is to observe how follow-up studies use the difficult concepts of Luhmann. Unlike previous studies, this study adopted a keyword rather than an article as the unit of analysis because keywords are linguistic constructs that can make concepts observable. The study analyzed co-occurrence of keywords in 139 articles retrieved from social sciences category in Web of Science DB. The key findings were following: the most important keywords were the name of Luhmann(Niklas Luhmann) and theory(social systems); keywords were grouped into 4 clusters(social systems theory, systems theory, legal system and political system, the significant of Luhmann's theory from the viewpoint of the history of social theory); topic terms were systems theory, communication, Autopoiesis, risk, legal system, functional differentiation, environment, social theory, sociological theory, structural coupling, systems and evolution. The significance of the study is following: the study gives keywords as useful access point for beginners of Luhmann's theory; the study proves that content analysis by keywords network can be applied to trend analysis of difficult theoretical researches.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.2
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• pp.144-156
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• 2023

Smart agriculture is a rapidly growing field that seeks to optimize crop yields and reduce risk through the use of advanced technology. A key challenge in this field is the need to create a comprehensive smart farm system that can effectively monitor and control the growth environment of crops, particularly when cultivating new varieties. This is where fuzzy theory comes in, enabling the collection and analysis of external environmental factors to generate a rule-based system that considers the specific needs of each crop variety. By doing so, the system can easily set the optimal growth environment, reducing trial and error and the user's risk burden. This is in contrast to existing systems where parameters need to be changed for each breed and various factors considered. Additionally, the type of house used affects the environmental control factors for crops, making it necessary to adapt the system accordingly. While developing such a framework requires a significant investment of labour and time, the benefits are numerous and can lead to increased productivity and profitability in the field of smart agriculture. We developed an AI platform for optimal control of facility houses by integrating data from mushroom crops and environmental factors, and analysing the correlation between optimal control conditions and yield. Our experiments demonstrated significant performance improvement compared to the existing system.