• Journal of the Korea Convergence Society
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• v.12 no.8
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• pp.381-391
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• 2021

The purpose of this study was to validate the Korean version of autonomy preference index (K-API) for chronic patients. Participants were 569 chronic patients. Construct validity and reliability of K-API were examined using exploratory and confirmatory factor analysis, and Cronbach's α test. Original API was translated to Korean, and we conducted contents validity test, and pilot test. The K-API consisted of 10 items divided into two domains: (i) Decision making preference (DMP); (ii) Information seeking preference (ISP). K-API explained 53.4% of autonomy preference; the two-factor structure showed an acceptance fit. Cronbach's α was. 77 for DMP, and. 75 for ISP. Validity and reliability of the K-API were established, and this study provides additional evidence for the usage of the API in Asian region.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.3
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• pp.464-480
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• 2022

With the steady development of Artificial Intelligence (AI), online stores are adopting chatbot services as virtual shopping assistants. This study proposes the concept of para-social presence to explore the undiscovered role of fashion chatbots' emotional and relational characteristics on service acceptance. Based on the Technology Acceptance Model (TAM), this study investigates the effect of a chatbot's para-social presence on service acceptance intention through consumers' beliefs. The web-based experiment was conducted on adult consumers who experienced chatbot services in an online shopping situation. A total of 247 responses were analyzed using confirmatory factor analysis, structural equation modeling, and multi-group SEM by AMOS 21.0 and SPSS 23.0. The findings illustrate that the chatbot's intimacy positively influenced consumers' perceived enjoyment, while the chatbot's understanding had a significant effect on perceived usefulness and ease of use. The chatbot's involvement had a positive effect on all consumer beliefs. Moreover, perceived ease of use had a positive influence on usefulness. A greater level of perceived usefulness and enjoyment positively heightened consumers' service acceptance intention. This study also verifies the moderating role of a need for human interaction. Consumers with a high need for human interaction have a relatively low tendency to perceive chatbot services as useful.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.165-171
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• 2022

The purpose of this study is to verify the effect of human resource flexibility on organizational commitment and to verify the mediating effect of self-efficacy in the relationship between human resource flexibility and organizational commitment. In order to achieve this research purpose, a survey was conducted on employees working in the service industry in China, and the results of the analysis are as follows. First, it was found that technological flexibility, behavioral flexibility, and relationship flexibility, which are sub-factors of human resource flexibility, all had a significant positive effect on organizational commitment. Second, as a result of verifying the mediating effect of self-efficacy in the relationship between human resource flexibility and organizational commitment, it was verified that self-efficacy has a partial mediating effect in the relationship between technological flexibility, behavioral flexibility, relationship flexibility, and organizational commitment. Finally, the implications of this study were presented and the future research direction was discussed.

• Journal of Music and Human Behavior
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• v.20 no.1
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• pp.21-46
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• 2023

The purpose of this study was to review the literature on music intervention research with North Korean defectors, focusing on posttraumatic growth. Eleven research papers were searched and selected to examine their general characteristics, intervention content, and therapeutic basis of music interventions for North Korean defectors. The investigated variables were related to posttraumatic growth-related aspects in changes in individuals, intervention goals, measurement tools, outcomes depending on developmental stages of the participants. The analysis showed that music provided a safe and familiar environment, which facilitated voluntary participation. Through music interventions, it was confirmed that individuals were able to discover their inner strength, leading to improved adaptability in daily life; positive changes were experienced in the social and relational aspects; and confidence in the future was strengthened. By reviewing music interventions with North Korean defectors, this study can present implications for music interventions with people who have experienced trauma and require assistance in fostering posttraumatic growth.

• Korean Journal of Culture and Social Issue
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• v.17 no.4
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• pp.485-503
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• 2011

This study was to develope a structural model for risk perception and individual response against terrorism, including several psychological factors - cognitive, social and emotional factors. In this model we measured perceived probability of terrorism, perceived seriousness of the aftermath, and perceived coping(cognitive factors), trust in authorities, in expert group and in preparedness of institutions(social factors), fear and worry(emotional factors), individual preparedness, information seeking, information analysis, and checking relational network(individual behavior responses). Major finding was that cognitive and social factors influenced on emotional factors and then emotional factors influenced on the individual responses. The perceived coping, which one of cognitive factors was linked with individual responses directly and indirectly via emotion factors. We discussed the importance of perceived coping in preparing for terrorism.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.232-234
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• 2022

Big data is widely used in customer relationship management, relationship marketing, financial business improvement, credit information and risk management. Moreover, as non-face-to-face financial transactions have become more active recently due to the COVID-19 virus, the use of financial big data is more demanded in terms of relationships with customers. In terms of customer relationship, financial big data has arrived at a time that requires an emotional rather than a technical approach. In relational marketing, it was necessary to emphasize the emotional aspect rather than the cognitive, rational, and rational aspects. Existing traditional financial data was collected and utilized through text-type customer transaction data, corporate financial information, and questionnaires. In this study, the customer's emotional image data, that is, atypical data based on the customer's cultural and leisure activities, is acquired through SNS and the customer's activity image is analyzed with an artificial intelligence CNN algorithm. Activity analysis is again applied to the annotated AI, and the AI big data model is designed to analyze the behavior model shown in the annotation.

• Korea Trade Review
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• v.48 no.1
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• pp.1-27
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• 2023

This study is an empirical analysis of export performance according to the type of GVC participation and governance of Korean manufacturing companies. Based on panel data from KOSPI listed firms, it was analyzed that relational investment, information exchange, and innovation affect the level of supply chain integration and corporate performance with the moderating role of trust. In addition, it was found that the degree of integration of the supply chain affects GSCM's performance and export performance. In case of the type of GVC governance, it was analyzed that the higher the integration strength, the higher the performance compared to other types. This result shows that trust-based supply chain integration and continuous GVC investment are very important. This explains that high levels of GVC governance, along with high integration strength, can lead to successful GSCM performance. Innovative investment strategies based on the relationship capabilities and trust levels of GVC participating companies can have a positive effect on the degree of global partnership formation and integration.

• Structural Monitoring and Maintenance
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• v.11 no.3
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• pp.247-262
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• 2024

Domestic sewage can greatly affect the macro-micro physical-mechanical properties of building foundation soils. In order to investigate the effect of domestic sewage on physical and mechanical properties of soils, the physicochemical properties of three groups of different concentrations of domestic sewage contaminated soil were tested through indoor experiments. Combined with scanning electron microscopy, X-ray diffraction experiments, and grey relational analysis, the degree of influence of different concentrations of domestic sewage on the physicochemical properties of soil was compared and analyzed from multiple perspectives such as microstructure and mineral composition, revealing the influencing mechanism of soil pollution by domestic sewage. The results showed that under the immersion of contaminated water, the color of the soaking water turned black first and then yellow, and brownish yellow secretions appeared on the surface of the soil samples. The moisture content, specific gravity, density, and pore ratio index of the soil samples immersed in 50% and 100% domestic sewage decreased with the increase of sewage concentration, while the liquid limit of the soil samples changed in the opposite direction. The immersion time had little effect on the slope of the compression curve of the soil samples soaked in tap water. For the soil samples immersed in domestic sewage, the slope of the compression curve and the compression coefficient increased with the increase of domestic sewage concentration and immersion time, while the compression modulus showed the opposite trend. In the soil samples immersed in tap water, there were a large number of small particles and cementitious substances, and the structure was relatively dense. With the increase of domestic sewage concentration, the microstructure of the soil changed significantly, with the appearance of sigle particle structure, loose and disorderly arrangement of particles, increased and enlarged pores, gradual reduction of small particle substances and cementitious substances, and the soil structure transformed from compact to loose. The research findings can provide theoretical reference for contaminated geotechnical engineering.

• Journal of Korean society of Dental Hygiene
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• v.11 no.2
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• pp.179-188
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• 2011

Objectives : The study set out to analyze correlations between emotional labor and job stress among dental hygienist, who have direct and lasting relationships with patients in dental clinic, and provide basic data to resolve stressors and manage stress. Methods : A survey was taken among dental hygienists working at dental clinics, and 200 questionnaires were used in analysis. The gathered data were put to Cronbach's alpha with the SPSS WIN12.0 program to test the reliability of the inventories to measure their emotional labor and job stress. In addition, correlation analysis was conducted to examine relations between the items of emotional labor and those of job stress along with regression analysis to examine relations between emotional labor and job stress. Finally, t-test and One-way ANOVA were conducted to test mean differences in the job stress items according to the degrees of emotional labor with the statistical significance level set at 0.05. Results : 1. The measurement tool used in the study recorded 0.7 for all the areas of Cronbach's alpha for internal reliability and thus achieved high reliability. 2. The overall mean of emotional labor was 2.74, which indicates that the dental hygienists had 'average' or higher stress for emotional labor. 3. Emotional labor had statistically significant relations with educational background, place of work, motivation to choose to be a dental hygienist, and religion of their general characteristics. 4. There was statistical significance in relations between general characteristics and job stress according to educational background, position at work, and experience with change of occupation. 5. The correlations between emotional labor and the stress areas were analyzed. As a result, emotional labor was in positive(+) correlations with job demand, lack of job autonomy, relational conflict, job instability, organizational system, and corporate culture. In addition, regression analysis was conducted to test causal relations between emotional labor and job stress. The results indicate that there were positive(+) influences between emotional labor and job stress. Conclusions : The results show that emotional labor can serve as a mediating variable for job stress in dental clinic. Thus both dental clinics and dental hygienists need to have ways to deal with job stress derived from emotional labor in which they are forced to process their emotions according to the dental clinics' demands, properly. The study will hopefully trigger ongoing follow-up researches on the deployment of dental hygienists according to their job characteristics and the situational variables to alleviate the negative results of emotional labor.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.6
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• pp.7-17
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• 2009

The precise analysis of exercise data for designing an effective rehabilitation system is very important as a feedback for planing the next exercising step. Many subjective and reliable research outcomes that were obtained by analysis and evaluation for the human motor ability by various methods of biomechanical experiments have been introduced. Most of them include quantitative analysis based on basic statistical methods, which are not practical enough for application to real clinical problems. In this situation, data mining technology can be a promising approach for clinical decision support system by discovering meaningful hidden rules and patterns from large volume of data obtained from the problem domain. In this research, in order to find relational rules between posture training type and muscle activation pattern, we investigated an application of the WAR(Weishted Association Rule) to the biomechanical data obtained mainly for evaluation of postural control ability. The discovered rules can be used as a quantitative prior knowledge for expert's decision making for rehabilitation plan. The discovered rules can be used as a more qualitative and useful priori knowledge for the rehabilitation and clinical expert's decision-making, and as a index for planning an optimal rehabilitation exercise model for a patient.