• Knowledge Management Research
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• v.14 no.2
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• pp.137-154
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• 2013

In an ever-tougher competitive environment caused by globalization, domestic companies are increasingly adopting business strategies aimed at continuously securing competitive advantage by taking advantage of globally-competitive foreign professionals. Despite a persistent rise of such trend, domestic researches regard migrant workers as the socially underprivileged, and delve into the issue of migrant workers from the policy, welfare, and ethical perspectives. With a growing need to deal with migrant professionals from the strategic viewpoint - to acquire professional talent in an era of global competition, it becomes essential to verify the real effectiveness of migrant professionals. Yet, there has been relatively little discussion of it. This study assumes that based on th137e integration-learning perspective on diversity, the greater the number of foreign professionals, the greater the effect on organizational innovative performance. Also could be effective in managing diversity is diversity-friendly HRM which involves eliminating discrimination against migrant professional workers and treating them fairly. Based on the data collected from 72 domestic companies, this study conducted an empirical analysis of the impact of the percentage of foreign professionals in the total workforce on organizational innovative performance and of the moderating role of diversity-friendly HRM. The results show that the proportion of foreign professionals in the entire workforce has had no significant impact on organizational innovative performance, and that the proportion of foreign professionals in the total workforce and diversity-friendly HRM have had a interaction effect on organizational innovative performance. Based on these research results, the study attempted to interpret the significance of the proportion that migrant professionals make up of the total workforce and of diversity-friendly HRM in relation to organizational innovative performance, and their implications for diversity management.

• Journal of the Korea Society of Computer and Information
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• v.26 no.10
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• pp.9-17
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• 2021

Humans are social animals that have gained information or social interaction through dialogue. In conversation, the mood of the word can change depending on the sensibility of one person to another. Relationships between characters in films are essential for understanding stories and lines between characters, but methods to extract this information from films have not been investigated. Therefore, we need a model that automatically analyzes the relationship aspects in the movie. In this paper, we propose a method to analyze the relationship between characters in the movie by utilizing deep learning techniques to measure the emotion of each character pair. The proposed method first extracts main characters from the movie script and finds the dialogue between the main characters. Then, to analyze the relationship between the main characters, it performs a sentiment analysis, weights them according to the positions of the metabolites in the entire time intervals and gathers their scores. Experimental results with real data sets demonstrate that the proposed scheme is able to effectively measure the emotional relationship between the main characters.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.111-118
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• 2021

As increasing interests in charitable giving, there is also a growing need to examine the factors which influences on consumer's giving behavior. Whereas past research focused mainly on one-time donation, this study examined how gender affects giving behaviors related to social connection with a donee. In Study 1, we found that compared to men, women showed more favorable attitudes toward the relationship based giving. Results from Study 2 revealed that, compared to male-primed women, female-primed women reported more positive giving intention. They are also more interested in interaction with donee. The current research demonstrates that gender differences leads to different responses towards the relationship based giving. Implications of this research for charity solicitation methods are discussed.

• Journal of Korea Game Society
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• v.18 no.6
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• pp.69-82
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• 2018

The need of high quality VR contents has been steadily raised in recent years. Therefore, this study investigated the user's interest factors of VR game which is receiving the most attention among VR contents. We used STEAM review data and applied Text mining and Network analysis to perform this research. As a result, it was possible to confirm 4 word clusters related VR game users. Each cluster is named by 'presence', 'first person view game', 'auditory factor' and 'interaction'. This study has its meaning. First, user related research would be very helpful to develop high quality VR game. Second, it confirms that review data of VR game users can be structured, analyzed and used.

• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.359-367
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• 2021

The purpose of this study is conceptual analysis study on the thwarted belongingness, and was based on the conceptual analysis method of Walker & Avant to make clear concept. Thwarted belongingness can be defined by the following attributes: distorted beliefs, insufficient need to belong, a sense of alienation, and insufficient interaction and affection needs. The prerequisites for thwarted belongingness were social isolation, experiences of exclusion or conflict in interpersonal relationships, perfectionist tendencies, and sensitivity to rejection. The consequences occurring as a result of thwarted belongingness were suicidal ideation, decreased happiness and life satisfaction, negative emotions such as anxiety about rejection, depression, shame, loneliness, stress or anger, aggression, hostility and self-criticism, despair, suppression of emotional expression, lethargy, self-exclusion from relationships, and identity confusion. This study is valuable to identify the extent of preventable nursing interventions related to individual mental health and suicidal ideation related to interpersonal relationships, and suggests future tool development and field studies of thwarted belongingness.

• Knowledge Management Research
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• v.21 no.4
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• pp.175-193
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• 2020

With the proliferation of information technology communication and smart device, the environment where contents are produced and distributed is changing. People can use the contents quickly and easily, and the content industry is attracting attention and creating newly added value by converging with other industries. Accordingly, there is a need for content-related companies to understand the quality of content perceived by users in order to succeed in content, and to use it strategically. Therefore, this study aims to examine the relationship between content quality factors, user satisfaction, and recommendation intention through empirical analysis based on an IS success model. The analysis was conducted using smartPLS3.0 based on a total of 301 survey responses. As a result of the study, it was found that content usefulness, accessible system quality, convenient system quality, service provider trust, and interaction had a significant effect on user's satisfaction. Perceived privacy protection had a significant effect on user satisfaction and recommendation intention. Lastly, it was found that user satisfaction had a significant effect on recommendation intention. The results of this study are expected to provide useful information and therefore content companies can understand about the quality perceived by users.

• The Korean Journal of Pain
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• v.34 no.2
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• pp.139-155
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• 2021

The quality of subgroup analyses (SGAs) in chronic non-cancer pain trials is uncertain. The purpose of this study was to address this issue. We conducted a comprehensive search in MEDLINE and EMBASE from January 2012 to September 2018 to identify eligible trials. Two pairs of reviewers assessed the quality of the SGAs and the credibility of subgroup claims using the 10 criteria developed by Sun et al. in 2012. The associations between the quality of the SGAs and the studies' characteristics including risk of bias, funding sources, sample size, and the latest impact factor, were assessed using multivariable logistic regression. Our search retrieved 3,401 articles of which 66 were eligible. The total number of SGAs was 177 of which 52 (29.4%) made a subgroup claim. Of these, only 15 (8.5%) were evaluated as being of high quality. Among the 30 SGAs that claimed subgroup effects using an appropriate method of performing interaction tests, the credibility of only 5 were assessed as high. None of the subgroup claims met all the credibility criteria. No significant association was found between the quality of SGAs and the studies' characteristics. The quality of the SGAs performed in chronic pain trials was poor. To enhance the quality of SGAs, scholars should consider the developed criteria when designing and conducting trials, particularly those which need to be specified a priori.

• Journal of People, Plants, and Environment
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• v.23 no.4
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• pp.399-410
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• 2020

The United Nations project the world population to reach 10 billion by the year 2057. To increase the food of the ever-increasing world population, agrochemicals are indispensable tools to the boon in agriculture production. These agrochemicals are a serious threat to the health of humans, plants, and animals. Agrochemicals are ultimately reached to the main reservoir/sink such as soil and contaminating the groundwater, disturb the soil health and in turn a serious threat to biogeochemical cycling and the entire biosphere. Among agrochemicals, quinalphosis one of the most repeatedly and widely used insecticides in the control of a wide range of pests that attack various crops. Quinalphos is shown to be primarily toxic in organisms by acetylcholinesterase enzyme action. Hydrolysis of quinalphos produces amajor metabolite 2-hydroxyquinoxaline (2-HQ), which has shown secondary toxicity in organisms. 2-HQ is reported to be mutagenic, carcinogenic, growth inhibition and induce oxidative stress in organisms. Quinoline is a heterocyclic compound and structural resemblance of 2-HQ with minor changes, but its degradation studies are enormous compared to the 2-HQ compound. Biotic factors in fate and behavior of 2-HQ in the environment are least studied. 2-HQ interactions with soil enzymes are vary from soil to soil. Based on the toxicity of 2-HQ in our stockpile we need to isolate a handful of microorganisms to treat this persistent metabolite and also other metabolites/compounds.This brief review will be significant from the point of biological and environmental safety.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.169-174
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• 2023

The purpose of this study is to analyze Korean college students' perceptions of interactions and senses of community, among students, and instructors and students as they took face-to-face classes by the time students and instructors came back to the classroom. Forty-nine college students participated in the study, and all of them had experienced non-face-to-face classes during the last two years from 2020 through 2021. They responded to the revised Rovai (2002)'s Classroom Community Scale (CCS), and the data were analyzed using a frequency analysis. The findings of data analysis showed that the students positively perceived the class contents and teaching formats of face-to-face classes, in terms of understanding and concentration on the class. On the other hand, it was found out that the students would still need more time for being familiar with face-to-face classes, and their affective variables of the educational environment should be considered.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.3
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• pp.421-426
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• 2023

Among artificial intelligence convergence technologies, Chatbot is an artificial intelligence-based interactive system and refers to a system that can provide interaction with humans. Chatbots are being re-examined as chatbots develop into NLP, NLU, and NLG. However, artificial intelligence chatbots can provide biased information based on learned data and cause serious damage such as privacy infringement and cybersecurity concerns, and it is essential to understand artificial intelligence technology and foster AI literacy. With the continued evolution and universalization of artificial intelligence, AI Literacy will also expand its scope and include new areas. This study is meaningful in raising awareness of artificial intelligence technology and proposing the use of human respect technology that is not buried in technology by cultivating human AI literacy capabilities.