• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.6
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• pp.159-174
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• 2022

Entrepreneurs should continuously invest resource and capital for a long time to get tangible business results. In order to be successful, despite difficulties, it is essential for entrepreneurs to continue entrepreneurial businesses without giving up too early. Thus, it can be said that organizational commitment of entrepreneurs is essential for success. According to previous studies, the organizational commitment of entrepreneurs has a significant effect on organizing, establishments of new firms and new product developments. The purpose of this article is to examine the relationships among learning orientation, innovativeness and organizational commitment of entrepreneurs. Especially, we focus on the mediating effect of innovativeness in the relationship between learning orientation and organizational commitment and the moderating effect of career relevance among the relationships. Based on empirical analysis, we reported the following results. First, learning orientation, innovativeness and career relevance of entrepreneurs had significant positive effects on organizational commitment. Second, it was found that innovativeness of entrepreneurs has a partial mediating effect on the relationship between learning orientation and organizational commitment. Third, using Baron & Kenny's hierarchical multiple regression analysis, we examined the moderating effect of career relevance among the relationships of learning orientation, innovativeness and organizational commitment. Third, because the interaction term was found to be positively significant, it was concluded there is a moderating effect of career relevance between learning orientation and innovativeness. This means, when career relevance was higher than average, the influence of learning orientation on innovation increases even more. Fourth, it was also found there is a moderating effect of career relevance between learning orientation and organizational commitment. However, the results of the mediated moderating effect analysis showed the moderating effect of career relevance between learning orientation and organization commitment is an indirect effect of moderating effect of career relevance between learning orientation and innovativeness mediated by innovativeness.

• Asia-Pacific Journal of Business
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• v.4 no.1
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• pp.31-42
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• 2013

This study aims at discovering the reasons why some customers do not want a relationship. In line with this observation, this paper explores customers' future relationship intentions according to the reasons identified. Based upon a qualitative methodology by way of in depth interviews, we have identified seven factors (e.g., passive loyalty, negative experience, relevance, negative indifference, positive indifference, and emotional value) that lead a consumer not wanting to maintain an ongoing relationship with a company. In Study 2, the author attempts to reveal the effects of each factor over time. The findings show that psychological motivations are useful in improving CRM performance.

• Research in Community and Public Health Nursing
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• v.28 no.4
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• pp.494-503
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• 2017

Purpose: This study is to grasp factors influencing the quality of life in older adults after total knee replacement. Methods: This study was conducted with 165 older adults who had TKR at four orthopedic hospitals in D city. Data were analyzed using one-way ANOVA, independent t-test, Pearson's correlation, and stepwise multiple linear regression with SPSS 19.0 software. Results: Pain and depression were negatively correlated with range of motion, social support, while sense of coherence was positively correlated with quality of life. Sense of coherence (43%, ${\beta}=.40$), pain (8%, ${\beta}=-.30$), and depression (3%, ${\beta}=-.20$) on the Physical Component Summary in the quality of life have significant explanatory power of 54%. Sense of coherence (49%, ${\beta}=.44$), social support (6%, ${\beta}=.25$), and depression (3%, ${\beta}=-.22$) on the Mental Component Summary in the quality of life have significant explanatory power of 58%. Conclusion: This study suggests developing a program to improve the quality of life in older adults who had TKR, considering factors such as sense of coherence.

• Journal of Society of Preventive Korean Medicine
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• v.16 no.1
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• pp.31-42
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• 2012

Objective : To set up the concept and the category of the medical humanities in Korean medicine education through researching and analysing the curriculum of 12 colleges and school of Korean medicine (KM) in Korea. Methods : We collected self-evaluation reports from 12 KM institutions, and analyzed subjects regarding medical humanities and social medicine. The subjects' relevance with medical humanities was verified using the learning objectives of KOMEEI(Korea Oriental Medicine Education and Evaluation Institute). The number of relevant subjects, the credits and educational hours, and the time of opening, etc. were analysed. Results : 12 KM institutions provide 44 subjects as medical humanities and social medicine related subjects. Among them, 17 subjects were corresponded to the actual learning objective of medical humanities. These subjects account for an average of 7% in total curriculum. Most of the subjects are required courses for premedical students and the fourth year students of medical school. Conclusions : This paper suggests the public discussion on the learning objective and the categories of the medical humanities education in KM institutions. Further studies on developing the educational contents and evaluation tools are also needed to produce good doctors with ability and personality.

• Asian Journal for Public Opinion Research
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• v.10 no.1
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• pp.51-73
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• 2022

This study investigated 3.50 million Facebook reactions collected from 9,429 Bangladeshi news items about rape shared on social media from 2016 to 2021. The primary aim of this study was to understand users' different reaction patterns based on the five major Facebook reactions (i.e., love, haha, wow, sad, and angry). Based on the theories of emotion, we quantitatively answer one research question: How do social media users react to rape with the five major Facebook reactions? The results suggest that users are more likely to express disdain toward rape and sympathy toward the victims using Facebook reactions by using the angry button, along with the sad button. In rape news, both reactions are consistent and maintain a strong positive correlation, meaning they increase and decrease together. Although many users tend to mock and laugh at rape incidents and the victims, trend lines suggest that such expressions may not be consistent with time. Despite contextual relevance, we presume that in socially and morally unacceptable events like rape and war, the valences of reactions alter to some extent: angry and sad usually become positive, while love, wow, and haha become negative. Some strengths and limitations of the study are discussed as well.

• Korean Journal of Social Welfare
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• v.63 no.2
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• pp.207-231
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• 2011

This study aims to identify constructs of cultural competency specifically relevant to the Korean society and to test its reliability and validity among human service workers. For the purpose of the study, authors conducted focus group interviews and conferences with human service workers to draw the concept of cultural competency. Further, this study conducted to two separate pilot tests with 20 social workers with practice experiences in order to clarify descriptions and relevance of scale items. Based on the literature review on the concept of cultural competency and analysis of focus group interviews, 40 items were initially constructed and then were reduced to a 32-item scale after two separate pilot studies. Meantime, suggestions made by an advisory group were also reflected in the scale development process. Finally, one hundred ninety four workers in social service agencies were recruited to evaluate the relevance of the scale items in a 5 point Likert scale. Through exploratory and confirmatory factor analysis, 4 main factors were identified: 1) competency to use culturally relevant skills, 2) cultural awareness and sensitivity, 3) cultural knowledge, and 4) efforts to overcome cultural differences. These factors were consistent with sub-concepts of cultural competency in other studies. Confirmatory factor analysis also showed that the model fitness was at the high level and convergent analysis with the similar scale also showed high correlations. Internal consistency also remained at a high level. Based on the results, implication for social work practice and education were discussed.

• Journal of the Korean Society for information Management
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• v.39 no.3
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• pp.241-261
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• 2022

The present study aims to investigate the effects of information poverty on North Korean refugees' social adaptation to South Korea based on Chatman's Theory of Information Poverty (1996). Based on the Theory of Information Poverty, information poverty consists of four variables: Secrecy, Deception, Risk-taking, and information acceptance in response to situational relevance. And based on the previous studies, adaptation to South Korean life is divided into social adaptation and psychological adaptation. From August 4 to August 30, 2021, after approval by the IRB through the North Korean refugee support organization , surveys were conducted with North Korean refugees who had lived in South Korea for at least one year and were aged 19 or older. The 100 collected valid data were analyzed using frequency analysis, reliability analysis, correlation analysis, and multiple linear regression analysis. Findings of the study indicated that information poverty had significant effects on North Korean refugees' social and psychological adaptation. In particular, the "deception" variable had negative effects on social and psychological adaptation. The study has theoretical implications that it explains North Korean refugees' adaptation to South Korea based on Theory of Information Poverty by defining them as information poor. Above all, it attempts a quantitative approach through operationalization of key concepts unlike previous studies that were conducted with qualitative approaches.

• Journal of Korea Multimedia Society
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• v.20 no.8
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• pp.1258-1270
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• 2017

'Semantic gap' has been a year-old problem in automatic video summarization, which refers to the gap between semantics implied in video summarization algorithms and what people actually infer from watching videos. Using the external EEG bio-feedback obtained from video watchers as a solution of this semantic gap problem has several another issues: First, how to define and measure noises against ERP waveforms as signals. Second, whether individual differences among subjects in terms of noise and SNR for conventional ERP studies using still images captured from videos are the same with those differently conceptualized and measured from videos. Third, whether individual differences of subjects by noise and SNR levels help to detect topic-irrelevant shots as signals which are not matched with subject's own semantic topical expectations (mis-match negativity at around 400m after stimulus on-sets). The result of repeated measures ANOVA test clearly shows a 2-way interaction effect between topic-relevance and noise level, implying that subjects of low noise level for video watching session are sensitive to topic-irrelevant visual shots, while showing another 3-way interaction among topic-relevance, noise and SNR levels, implying that subjects of high noise level are sensitive to topic-irrelevant visual shots only if they are of low SNR level.

• Biomolecules & Therapeutics
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• v.24 no.3
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• pp.207-243
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• 2016

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by social and communication impairments, as well as repetitive and restrictive behaviors. The phenotypic heterogeneity of ASD has made it overwhelmingly difficult to determine the exact etiology and pathophysiology underlying the core symptoms, which are often accompanied by comorbidities such as hyperactivity, seizures, and sensorimotor abnormalities. To our benefit, the advent of animal models has allowed us to assess and test diverse risk factors of ASD, both genetic and environmental, and measure their contribution to the manifestation of autistic symptoms. At a broader scale, rodent models have helped consolidate molecular pathways and unify the neurophysiological mechanisms underlying each one of the various etiologies. This approach will potentially enable the stratification of ASD into clinical, molecular, and neurophenotypic subgroups, further proving their translational utility. It is henceforth paramount to establish a common ground of mechanistic theories from complementing results in preclinical research. In this review, we cluster the ASD animal models into lesion and genetic models and further classify them based on the corresponding environmental, epigenetic and genetic factors. Finally, we summarize the symptoms and neuropathological highlights for each model and make critical comparisons that elucidate their clinical and neurobiological relevance.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.183-203
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• 2018

News articles are the most suitable medium for examining the events occurring at home and abroad. Especially, as the development of information and communication technology has brought various kinds of online news media, the news about the events occurring in society has increased greatly. So automatically summarizing key events from massive amounts of news data will help users to look at many of the events at a glance. In addition, if we build and provide an event network based on the relevance of events, it will be able to greatly help the reader in understanding the current events. In this study, we propose a method for extracting event networks from large news text data. To this end, we first collected Korean political and social articles from March 2016 to March 2017, and integrated the synonyms by leaving only meaningful words through preprocessing using NPMI and Word2Vec. Latent Dirichlet allocation (LDA) topic modeling was used to calculate the subject distribution by date and to find the peak of the subject distribution and to detect the event. A total of 32 topics were extracted from the topic modeling, and the point of occurrence of the event was deduced by looking at the point at which each subject distribution surged. As a result, a total of 85 events were detected, but the final 16 events were filtered and presented using the Gaussian smoothing technique. We also calculated the relevance score between events detected to construct the event network. Using the cosine coefficient between the co-occurred events, we calculated the relevance between the events and connected the events to construct the event network. Finally, we set up the event network by setting each event to each vertex and the relevance score between events to the vertices connecting the vertices. The event network constructed in our methods helped us to sort out major events in the political and social fields in Korea that occurred in the last one year in chronological order and at the same time identify which events are related to certain events. Our approach differs from existing event detection methods in that LDA topic modeling makes it possible to easily analyze large amounts of data and to identify the relevance of events that were difficult to detect in existing event detection. We applied various text mining techniques and Word2vec technique in the text preprocessing to improve the accuracy of the extraction of proper nouns and synthetic nouns, which have been difficult in analyzing existing Korean texts, can be found. In this study, the detection and network configuration techniques of the event have the following advantages in practical application. First, LDA topic modeling, which is unsupervised learning, can easily analyze subject and topic words and distribution from huge amount of data. Also, by using the date information of the collected news articles, it is possible to express the distribution by topic in a time series. Second, we can find out the connection of events in the form of present and summarized form by calculating relevance score and constructing event network by using simultaneous occurrence of topics that are difficult to grasp in existing event detection. It can be seen from the fact that the inter-event relevance-based event network proposed in this study was actually constructed in order of occurrence time. It is also possible to identify what happened as a starting point for a series of events through the event network. The limitation of this study is that the characteristics of LDA topic modeling have different results according to the initial parameters and the number of subjects, and the subject and event name of the analysis result should be given by the subjective judgment of the researcher. Also, since each topic is assumed to be exclusive and independent, it does not take into account the relevance between themes. Subsequent studies need to calculate the relevance between events that are not covered in this study or those that belong to the same subject.