• The Journal of Information Systems
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• v.25 no.1
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• pp.75-104
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• 2016

Purpose The business ecosystem perspective offers a new lens in which to view customers. Customers as the member of business ecosystems influence firms by participating in both the firm level activities and the business ecosystem level activities. For example, customers participate in the business ecosystems by forming interest groups, allowing their voice to be heard the within business ecosystems. Customers can also, turn public opinion around and foster the business ecosystems favorable to firms. On the other hand, as an extreme case of customer participation, customers can engage in community activities to boycott the purchase of products or services from certain firms or business ecosystems. Design/methodology/approach This study views content creation and feedback activities as customer participation in the firm level. On the other hand, word-of-mouth (WOM) and boycott activities are considered as customer participation in the business ecosystem level. This study presents a research model regarding the relationships among customer socialization, customer participation, and psychological ownership. The proposed model is validated through an empirical analysis on online platform business ecosystems. Findings When the two business ecosystems are compared, different results were drawn. In the Facebook ecosystem, boycott and psychological ownership did not have a significant relationship. However, in the Kakao ecosystem, the two had a significant positive relationship. The mediating effect of the business ecosystem type sheds a light on the mission, purpose, vision, and other values associated with the theory of the business on the customer-firm relationship. Further implications for theory and practice were discussed in this study.

• Journal of Korean Biological Nursing Science
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• v.17 no.1
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• pp.78-87
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• 2015

Purpose: The purpose of this study was to investigate the effects of case-based learning (CBL) on learning motivation and learning satisfaction of nursing students in a human physiology course. Methods: The development and application of CBL scenarios was conducted from February to June, 2013. Nursing students (n=142) who registered for a human physiology course were assigned into either a control or CLB group. The control group received traditional lectures for 14 weeks. The CBL group received the same 14-week lectures and an additional 5 CBL sessions. The learning motivation and satisfaction were measured by questionnaires at the beginning and the end of the semester. Seven students in the CBL group were randomly selected for a focus-group interview. Quantitative data were analyzed by ${\chi}^2$-test and t-test, and qualitative data were analyzed by content analysis. Results: The learning motivation and learning satisfaction were not significantly different between the two groups. However, 59% of the CBL group answered with a positive impression on the CBL approach as it helped them to feel a sense of achievement, excitement, to form their identity as nursing students, and so on. Conclusion: These findings suggest that the CBL could be a challenging but useful learning method in a physiology course for nursing students. Further studies with guidance, such as instructors' questions and feedback design are needed to utilize CBL more effectively.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.1
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• pp.27-34
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• 2013

Background subtraction is one of the key techniques for automatic video content analysis, especially in the tasks of visual detection and tracking of moving object. In this paper, we present a new sample-based technique for background extraction that provides background image as well as background model. To handle both high-frequency and low-frequency events at the same time, multiple interval background models are adopted. The main innovation concerns the use of a confidence factor to select the best model from the multiple interval background models. To our knowledge, it is the first time that a confidence factor is used for merging several background models in the field of background extraction. Experimental results revealed that our approach based on multiple interval sampling works well in complicated situations containing various speed moving objects with environmental changes.

• Smart Structures and Systems
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• v.24 no.5
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• pp.567-585
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• 2019

In the past two decades, structural health monitoring (SHM) systems have been widely installed on various civil infrastructures for the tracking of the state of their structural health and the detection of structural damage or abnormality, through long-term monitoring of environmental conditions as well as structural loadings and responses. In an SHM system, there are plenty of sensors to acquire a huge number of monitoring data, which can factually reflect the in-service condition of the target structure. In order to bridge the gap between SHM and structural maintenance and management (SMM), it is necessary to employ advanced data processing methods to convert the original multi-source heterogeneous field monitoring data into different types of specific physical indicators in order to make effective decisions regarding inspection, maintenance and management. Conventional approaches to data analysis are confronted with challenges from environmental noise, the volume of measurement data, the complexity of computation, etc., and they severely constrain the pervasive application of SHM technology. In recent years, with the rapid progress of computing hardware and image acquisition equipment, the deep learning-based data processing approach offers a new channel for excavating the massive data from an SHM system, towards autonomous, accurate and robust processing of the monitoring data. Many researchers from the SHM community have made efforts to explore the applications of deep learning-based approaches for structural damage detection and structural condition assessment. This paper gives a review on the deep learning-based SHM of civil infrastructures with the main content, including a brief summary of the history of the development of deep learning, the applications of deep learning-based data processing approaches in the SHM of many kinds of civil infrastructures, and the key challenges and future trends of the strategy of deep learning-based SHM.

• Korean Public Health Research
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• v.44 no.4
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• pp.1-13
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• 2018

Purpose : The purpose of this study was to explore the subjective experiences of problem drinkers participating in the early intervention program for moderate alcohol drinking. Methods : A qualitative descriptive study design was used. Data were collected through individual interviews with thirteen problem drinkers and analyzed using qualitative content analysis. Results : The experiences of the problem drinkers participating in the early intervention program were derived from four themes and nine sub-themes in terms of awareness, alcohol expectancies, perceived self-efficacy and behavioral change. They participated in programs offered in the workplace, and there were differences in motivation level among individuals, but generally accepted the necessity of the program. Participants who had trust with the program provider were more likely to change drinking behavior. Conclusion : Problem drinkers who participated in the early intervention program showed that it is a useful approach to change the problem drinking behavior by promoting awareness of alcohol-related knowledge, motivation for change through acquiring enough information and acquisition of self-efficacy as a behavior skill. These findings can be used as basic information for implementing and adapting early intervention for prevention of alcoholism in primary health care setting including workplace.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.455-464
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• 2018

This study aim to identify the trends of existing scholarly research on the issue of burnout among social workers in South Korea. For this purpose, 50 domestic articles that are registered(or nominated to be) in the National Research Foundation of Korea between 1995 and November 2016 were reviewed. Content analysis was conducted with regard to the subjects of research, research themes, and the methodologies used. The findings showed that the subjects were mainly social workers providing services in private than in public settings. Major themes of the research included examining risk or protective factors, consequences of burnout, mechanisms of burnout, mediating effects of burnout on certain relationships, and subjective experience of social workers' burnout. As for methodologies used, quantitative approach was predominant. Findings of this study suggested research effort to extend scope of research subjects and methodology. Testifying more burnout-related factors would contribute to the future research as well. The results of the study will provide academic implications for future research in this field.

• Journal of Korean Elementary Science Education
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• v.38 no.1
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• pp.31-42
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• 2019

Through the criticism and evaluation of different classes teaching the same lesson topic, this study compared the viewpoints by two ways between two groups including pre-service and experienced teachers. Through free-style criticism, this study analyzed the differences between pre-service and experienced teachers' areas of attention. Through criteria-based analysis, the study analyzed the judgement of each area and the criteria of each judgement. The results of the study found that pre-service teachers criticised more limited areas, but somewhat more positive than their experienced teacher counterparts. Also, pre-service teachers did not observe thoroughly whether or not the teacher was well-informed of the science content, the sequence of curriculum, and whether or not meaningful interaction had occurred. As well as, pre-service teachers were not actually feel importance of student-oriented lessons, and they could not look room and materials are useful to students on students' sides. Additionally, pre-service teachers thought highly of lessons which were connected to other subjects rather than connected to daily life. Therefore, to notice diverse areas in the class, pre-service teachers need to criticise lessons using a diverse criterion. Also, pre-service teachers realized simple questions and that mechanical group activities are not always effective and that they need to think how to improve meaningful interaction. Moreover, they have to perceive that an inquiry-oriented student-lead approach is very important. Lastly, pre-service teachers have to closely consider the room efficiency and materials available to the students, and they must internalize that science class has to be connected with daily life.

• The Journal of the Korea Contents Association
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• v.19 no.4
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• pp.519-531
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• 2019

The purpose of this study is to learn about the meaning and factors of gambling in one's life. Thus, it is to develop contents that help gamblers improve their quality of life by broadening their understanding of gambling. To this end, data from women who had experienced gambling and also quit gambling were collected and analyzed. What are the factors that deter gambling and gambling and what is the dynamics that lead to life? The research approach is a technical case study. The story and context of her life were in mind. The results of the matrix analysis were derived from 15 subcategories and 8 upper categories. The result was to adapt and cope within the mental and economic deficits and to survive survival. The researcher suggested that content development is necessary. It is necessary to develop counseling contents that can heal their pain, stress, and heartache and to help one parent's family's economic survival. It also suggested that the development of capacity-enhancing contents such as technical training to cope with social structural changes is necessary.

• Asian-Australasian Journal of Animal Sciences
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• v.32 no.2
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• pp.282-289
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• 2019

Objective: This study aimed to elucidate whether innovative sous vide treatment has a significant influence on the beef semitendinosus muscle as compared to common sous vide treatment and traditional cooking. Methods: The innovative sous vide treatments were cooked at $45^{\circ}C$ and $65^{\circ}C$ for 6 h (SV45-65), common sous vide treatment at $45^{\circ}C$ and $65^{\circ}C$ for 3 h (SV45 and SV65) and traditional cooking at $75^{\circ}C$ for 30 min (CON75). Water loss and cooking loss, as well as the physical properties (color and shear force) and chemical properties (protein and collagen solubility) of the treated meat, were investigated. Results: The results obtained indicated that the innovative sous vide with double thermal treatment (SV45-65) and cooked with air presence (CON75) resulted to lower $a^*$ and higher $b^*$ values, respectively. The water loss and cooking loss increased when temperature increased from $45^{\circ}C$ to $65^{\circ}C$, and lower water loss was recorded in SV45 and CON75. These samples presented higher water content and revealed strong correlation to protein solubility. Warner-Bratzler shear force (SF) analysis showed the marked interaction between cooking temperature and time. Sample cooked at a high temperature (CON75) and a long period (SV45-65) showed a significantly lower value of SF than sample SV65 (p<0.05). Interestingly, there was no difference in SF values between SV45-65 and CON75. Conclusion: The innovative sous vide treatment with double thermal effect appears an attractive cooking method as compared to common sous vide and traditional cooking method, as it has a potential for improving tenderness values of cooked beef semitendinosus muscle.

• Journal of Korean Academy of Nursing
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• v.49 no.4
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• pp.398-410
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• 2019

Purpose: This study used a system dynamics methodology to identify correlation and nonlinear feedback structures among factors affecting adolescent cyberbullying victims (CV) in Korea and to construct and verify a simulation model. Methods: Factors affecting CV were identified by reviewing a theoretical background in existing literature and referencing various statistical data. Related variables were identified through content validity verification by an expert group, after which a causal loop diagram (CLD) was constructed based on the variables. A stock-flow diagram (SFD) using Vensim Professional 7.3 was used to establish a CV model. Results: Based on the literature review and expert verification, 22 variables associated with CV were identified and the CLD was prepared. Next, a model was developed by converting the CLD to an SFD. The simulation results showed that the variables such as negative emotions, stress levels, high levels of conflict in schools, parental monitoring, and time spent using new media had the strongest effects on CV. The model's validity was verified using equation check, sensitivity analysis for timestep and simulation with 4 CV adolescent. Conclusion: The system dynamics model constructed in this study can be used to develop intervention strategies in schools that are focused on counseling that can prevent cyberbullying and assist in the victims' recovery by formulating a feedback structure and capturing the dynamic changes observed in CV. To prevent cyberbullying, it is necessary to develop more effective strategies such as prevention education, counseling and treatment that considers factors pertaining to the individual, family, school, and media.