• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.2
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• pp.431-448
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• 2008

The change of management paradigm is that information technology change according to technology evolution at present is applied to corporate management, is that management level must be adapted to uncertainty management environment with activity and be made decision based on analyzed real time information through information system. This produces the effective target achievement and efficiency business productivity guarantee. At the present day, importation of business intelligence like enterprise information system has been the essential factor in business activities. Therefore, It is very important to give lessons the enterprises for building the business intelligence selecting the major success factors of more influence to managing results. In this paper, to authorize the research model and research constructions through theory study of literatures and surveying statics analysis prove the relational influences among the influencing factors related business intelligence system buliding.

• The Journal of the Korea Contents Association
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• v.15 no.1
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• pp.388-398
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• 2015

This study is to investigate an impact of emotional index, social network, and trust to customers on sales performance with emotional intelligence theory and social relationship theory. We found that the higher is seller's emotional index, the higher are cognitive and affective trust, and the high trust improves sales performance. We also found that the higher emotional index strengthens social network, but does not have an effect on cognitive and affective trust. With these results we provide the sales competency in clothing shop.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.703-708
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• 2023

The current study investigates VPA usage (i.e.,continuance intention of use, WOM intention) of by Theory of Planned Behavior (i.e.,attitude toward to VPA, subjective norm, perceived behavioral control) and perceived value/risk. The results show that (1) attitude toward to VPA, subjective norm, perceived behavioral control, and perceived value positively predicted the continuance intention of VPA use. Regarding WOM of intention, there were positively significant effects of the attitude toward to VPA, subjective norm, perceived behavioral control, and perceived value. The results of this study are expected to provide a variety of practical and theoretical implications in promising artificial intelligence market by the impact of TPB (i.e.,attitude toward to VPA, subjective norm, perceived behavioral control) and perceived values of VPA.

• Korean journal of communication and information
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• v.37
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• pp.377-417
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• 2007

This study examines some cognitive development effects of mass media while testing the relations between mass media consumption and academic achievement and intelligence. In this research, students' television, newspaper, and internet consumption behaviors are used as independent variables which include motivations and magnitude of various content categories' and total consumption of those media. Dependent variables are school courses' test scores and eight intelligence scores based on Howard Gardner's multiple intelligence theory. It was found that media consumption magnitudes of various content categories have the most strong effects on those dependent variables. Each of various media consumption behaviors are found to have different effects according to which variable is dependent. For example, total internet consumption have positive effects on logical-mathematical intelligence but negative effects school achievements. Internet game sight have positive effects on logical-mathematical intelligence but negative effects on musical intelligence. It may be concluded that cognitive development is dependent mainly on what media contents students consume. Media consumption behaviors may have positive effects on some kinds of cognitive development and negative effects on other kinds. In other words, television or internet may have positive effects on academic achievement or intelligence contrary to popular thinking.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.6
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• pp.189-197
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• 2014

This study analyzed the characteristics of multiple intelligence and the levels of academic adjustment for the department and the major among undergraduate students majoring in IT. Seventy freshmen majoring in IT at the department of M, H University participated in this study and the basic major subject required for the department was Computer Language: I-C Language. Eight intelligence areas less controversial in Gardner's multiple intelligence theory were used; academic adjustment was manipulatively defined as the degree of adjustment for the department and the major among undergraduate students; and pleasure, flow, familiarity and relevance to the major, academic achievement, and major satisfaction were selected as variables through literature review. The undergraduate students majoring in IT showed high levels of interpersonal intelligence and intrapersonal intelligence, with insignificant gender differences. Significant correlations were found between multiple intelligence and academic adjustment. In particular, while pleasure and flow in C programming were found to be at low levels in academic adjustment, the significant correlation between linguistic intelligence in multiple intelligence and flow in C language was a very interesting finding. While significant correlation was not found between multiple intelligence and academic achievement, students who were more highly aware of the relevance to the major and who were more familiar with C language showed higher academic achievement. Lastly, limitations of this study were discussed; on the basis of the results, suggestions were made about prescriptive strategies to improve academic achievement for undergraduate students majoring in IT.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.53-59
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• 2023

We aim to investigate whether the activities in the 2015 revised elementary English textbooks are reflected in terms of Multiple Intelligences. Specifically, we analyze three types of activities including project, game, and cultural activities in three types of the 5^th grade English textbooks. Additionally, we compare the differences in the Multiple Intelligences according to three different publishers. The data includes three different sorts of fifth-grade English textbook activities. We found that verbal-linguistic intelligence, interpersonal intelligence, and visual-spatial intelligence are heavily involved in project activities. Verbal-linguistic intelligence, interpersonal intelligence, visual-spatial intelligence, and kinesthetic intelligence are all utilized in game activities. Lastly, cultural activities demonstrate verbal-linguistic and visual-spatial intelligence. In consideration of the diversity of students, we suggest that English textbooks need to consider diverse and well balanced approach to incorporating Multiple Intelligences in order to make the textbooks to meet the needs of the diversity of learners.

• Coupled systems mechanics
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• v.8 no.6
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• pp.523-535
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• 2019

Artificial Intelligence (AI) is anticipated to be the future of technology. Hence, AI has been applied in various fields over the years and its applications are expected to grow in number with the passage of time. There has been a growing need for accurate, direct, and quick prediction of geotechnical and foundation engineering models especially since the success of each project relies on numerous amounts of data. In this study, two applications of AI in the field of geotechnical and foundation engineering are presented - spatial interpolation of standard penetration test (SPT) data and prediction of consolidation of clay. SPT and soil profile data may be predicted and estimated at any location and depth at a site that has no available borehole test data using artificial intelligence techniques such as artificial neural networks (ANN) based on available geospatial information from nearby boreholes. ANN can also be used to accelerate the calculation of various theoretical methods such as the one-dimensional consolidation theory of clay with high efficiency by using lesser computation resources. The results of the study showed that ANN can be a valuable, powerful, and practical tool in providing various information that is needed in geotechnical and foundation design.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.12
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• pp.4625-4647
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• 2020

The Generative Adversarial Networks, as one of the most creative deep learning models in recent years, has achieved great success in computer vision and natural language processing. It uses the game theory to generate the best sample in generator and discriminator. Recently, many deep learning models have been applied to the security field. Along with the idea of "generative" and "adversarial", researchers are trying to apply Generative Adversarial Networks to the security field. This paper presents the development of Generative Adversarial Networks. We review traditional generation models and typical Generative Adversarial Networks models, analyze the application of their models in natural language processing and computer vision. To emphasize that Generative Adversarial Networks models are feasible to be used in security, we separately review the contributions that their defenses in information security, cyber security and artificial intelligence security. Finally, drawing on the reviewed literature, we provide a broader outlook of this research direction.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.4
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• pp.345-355
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• 2022

Excellent employees are those who take on extra responsibilities and commitments at work. Hence, employees must pay attention to out-of-role activities that can help the company perform better. When a person takes on more responsibilities than he can handle, they will have to deal with the issue of work-family balance. This paper examines how the consistency of WFC affects employees' organizational citizenship behavior (OCB) using the Resource Conservation Theory. This study uses empirical research methodologies to assess 417 employees as a sample. (1) When the matches of work-to-family conflict (WFC) and family-to-work conflict (FWC) are consistent, the employee self-control resource depletion level is lower, and OCB is higher in the "high-high" consistency matching state. (2) The "low-high" match had a higher OCB than the "high-low" match when the WFC and FWC matches were inconsistent. (3) In the process of WFC affecting OCB, the depletion of self-control resources acts as a mediating factor. (4) Emotional intelligence plays a moderating role in the whole model. The lower the emotional intelligence was, the stronger the positive relationship between the consistency of WFC, FWC, and self-control resource depletion was.

• East Asian Journal of Business Economics (EAJBE)
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• v.11 no.2
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• pp.1-13
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• 2023

Purpose - The purpose of this study is to identify emotional intelligence (EI) profiles according to the sub-factors of the ability EI model, namely, self-emotional appraisal, others' emotional appraisal, regulation of emotion, and use of emotion. In addition, this study aims to reveal whether there is a difference in job satisfaction, affective commitment, and turnover intention depending on the profile. Research design, data, and methodology - For the study, 536 survey responses were analyzed using SPSS 22 and MPlus 8.4. Result - The analysis identified four EI profiles. These were 1) middle-low generalized EI (all sub-factors of EI were slightly lower than the average level), 2) middle-high generalized EI (all sub-factors of EI were slightly higher than the average), 3) low generalized EI (all EI sub-factors were much lower than the average), and 4) high generalized EI (all EI sub-factors were much higher than average). Furthermore, significant differences were found in job satisfaction, affective commitment, and turnover intention according to each profile. Conclusion - This study expands the EI theory by revealing the profile of EI. In addition, this study investigated the impact of EI profile on job satisfaction, affective commitment, and turnover intention.