• 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.

• Journal of Information Science Theory and Practice
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• v.10 no.spc
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• pp.12-24
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• 2022

This study attempted to investigate changes in collaboration structure for each stage of national Research and Development (R&D) in the artificial intelligence (AI) field through analysis of a co-author network for papers written under national R&D projects. For this, author information was extracted from national R&D outcomes in AI from 2014 to 2019. For such R&D outcomes, NTIS (National Science & Technology Information Service) information from the KISTI (Korea Institute of Science and Technology Information) was utilized. In research collaboration in AI, power function structure, in which research efforts are led by some influential researchers, is found. In other words, less than 30 percent is linked to the largest cluster, and a segmented network pattern in which small groups are primarily developed is observed. This means a large research group with high connectivity and a small group are connected with each other, and a sporadic link is found. However, the largest cluster grew larger and denser over time, which means that as research became more intensified, new researchers joined a mainstream network, expanding a scope of collaboration. Such research intensification has expanded the scale of a collaborative researcher group and increased the number of large studies. Instead of maintaining conventional collaborative relationships, in addition, the number of new researchers has risen, forming new relationships over time.

• International journal of advanced smart convergence
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• v.8 no.4
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• pp.1-8
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• 2019

The online retail market continues to grow, especially in China, as e-commerce has developed rapidly in recent years in many countries. Meanwhile, the development and use of new network information technology provides consumers with various contact and experience environments for online shopping. Based on the theory of media weakness, the study began to focus consumer experience on the nature of commercial transactions. The study proposed and designed an initial measure of the consumer information evaluation index, which combines previous findings with implications. Finally, the five-dimensional B2C system was established to evaluate consumers' information experience providing information display, information interaction, information support and information personalization. We researched on evaluation index system for information experience of B2C e-commerce consumers based on samples of Chinese consumers.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.129-134
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• 2008

Dividend is one of essential factors determining the value of a firm. According to the valuation theory in finance, discounted cash flow (DCF) is the most popular and widely used method for the valuation of any asset. Since dividends play a key role in the pricing of a firm value by DCF, it is natural that the accurate prediction of future dividends should be most important work in the valuation. Although the dividend forecasting is of importance in the real world for the purpose of investment and financing decision, it is not easy for us to find good theoretical models which can predict future dividends accurately except Marsh and Merton (1987) model. Thus, if we can develop a better method than Marsh and Merton in the prediction of future dividends, it can contribute significantly to the enhancement of a firm value. Therefore, the most important goal of this study is to develop a better method than Marsh and Merton model by applying artificial intelligence techniques.

• Journal of the Korea Computer Industry Society
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• v.2 no.6
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• pp.747-758
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• 2001

While developing the military intelligence systems, inter-operation problems which are even existed in the advanced countries must be secured. So we intend to contribute the development of concerned theories by suggesting the process and results of the operational architecture(OA) in C4ISR architecture framework that U.S. military researched and setup based on C4ISR architecture framework theory and BPR methodology.

• International Journal of Automotive Technology
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• v.3 no.3
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• pp.89-94
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• 2002

This paper presents an architecture for distributed control systems and its underlying methodological framework. Ideas and concepts of distributed systems, artificial intelligence, and soft computing are merged into a unique architecture to provide cooperation, flexibility, and adaptability required by knowledge processing in intelligent control systems. The distinguished features of the architecture include a local problem solving capability to handle the specific requirements of each part of the system, an evolutionary case-based mechanism to improve performance and optimize controls, the use of linguistic variables as means for information aggregation, and fuzzy set theory to provide local control. A distributed traffic control system application is discussed to provide the details of the architecture, and to emphasize its usefulness. The performance of the distributed control system is compared with conventional control approaches under a variety of traffic situations.

• Proceedings of the Korean Geotechical Society Conference
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• 2002.03a
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• pp.759-766
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• 2002

In the paper the authors describe the development of ITIS(Intelligent Tunneling Information System) for the Purpose of applying the 3D visualization technique, GIS, AI(Artificial Intelligence) to tunnel design and construction. VR(Virtual Reality) and 3D visualization techniques are applied in order to develope the 3D model of characteristics and structures of ground and rock mass. Database for all the materials related to site investigation and tunnel construction is developed using GIS technique. AI technique such as fuzzy theory and neural network is applied to predict ground settlement, decide tunnel support method and estimate ground and rock mass properties according to tunnel excavation steps. ITIS can help to inform various necessary tunnel information to engineers quickly and manage tunnel using acquired information based on D/B.

• Journal of the Korea Institute of Military Science and Technology
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• v.21 no.2
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• pp.204-210
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• 2018

As the 4th industrial revolution and artificial intelligence technology develop, it is expected that there will be a revolutionary changes in the security robot. However, artificial intelligence system requires enormous hardwares for tremendous computing loads, and there are many challenges that need to be addressed more technologically. This paper introduces precise tracking control technique of autonomous system that need to move repetitive paths for security purpose. The input feedforward signal is generated by using the inverse based iterative learning control theory for the 2 input 2 output nonminimum-phase system which was difficult to overcome by the conventional feedback control system. The simulation results of the input signal generation and precision tracking of given path corresponding to the repetition rate of extreme, such as bandwidth of the system, shows the efficacy of suggested techniques and possibility to be used in military security purposes.

• Journal of Information Technology Services
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• v.11 no.1
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• pp.83-92
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• 2012

The development of science and technology oriented knowledge society accelerates the convergence between scientific theory and industrial technology and increases the complexity problem of social and economic sectors. These cause the difficulty of securing the reliability and objectivity of science and technology policy. These also are barriers of balanced evaluation between rational science and technology policy making, management, and policy coordination. In this regard, Advanced countries in science and technology develops policy support system and promotes the program of evidence-based SciSIP(Science of Science and Innovation policy) together. This paper introduces a new approach developing science service of science and technology policy utilizing business intelligence technology in Korea. Also, it proposes the integration method of policy knowledge base and component-based service supporting S&T policy decision-making process and introduces services case studies.

• Journal of Korea Multimedia Society
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• v.24 no.4
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• pp.610-618
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• 2021

This thesis is based on the theory of multiple intelligences proposed by the american educator and psychologist Dr.Gardner. According to the definition and classification of children's intelligence development games by predecessors, 6 types of intelligence development suitable for children aged 3 to 6 are summarized games, fill in the questionnaire to understand children's personal preferences, the purpose is to understand whether children aged 3 to 6 have a preference for intelligent development games and whether the preference will be affected by gender and age, and to understand the reality of children aged 3 to 6 Preferences and intellectual development needs provide a factual basis for more scientifically launching intelligent development games.