• Journal of the Korea Convergence Society
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• v.11 no.10
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• pp.19-24
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• 2020

Artificial intelligence technology, which is the core of the 4th industrial revolution, is making intelligent judgments through deep learning techniques and machine learning that it is impossible to predict if it is applied to stock prediction beyond human capabilities. In US fund management companies, artificial intelligence is replacing the role of stock market analyst, and research in this field is actively underway. In this study, we use BLSTM to reduce errors that occur in unidirectional prediction of the existing LSTM method, reduce errors in predictions by predicting in both directions, and macroscopic indicators that affect stock prices, namely, economic growth rate, economic indicators, interest rate, analyze the trade balance, exchange rate, and volume of currency. To help stock investment by accurately predicting the target price of stocks by analyzing the PBR, BPS, and ROE of individual stocks after analyzing macro-indicators, and by analyzing the purchase and sale quantities of foreigners, institutions, pension funds, etc., which have the most influence on stock prices.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.1
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• pp.73-80
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• 2020

The OECD surveys the questionnaire on the background of ICT every three years since 2003. In this study, we compare and analyze the changes in ICT accessibility and ICT usability of Korean students in 2015 and 2018 using the ICT background data of OECD PISA. ICT accessibility refers to the degree of access to ICT equipment at school or at home. There are 10 items of accessibility surveys at schools used by PISA, and 11 items at home. ICT usability refers to how much ICT equipment is used at or outside of school for learning or non-learning purposes. There are ten items for surveying usability at school, and twenty-four items for surveying usability outside of school. In the analysis of this study, the arithmetic mean of the items is used. As a result, Korean students' accessibility at school improved from 25.48% in 2015 to 40.40% in 2018, and from the lowest group in 2015 to below-average group in 2018. In terms of students' usability at school, we analyzed the percentage of students who use the ICT equipment 'almost every day' and the students who use it 'everyday'. Both 2015 and 2018 are among the lowest. Accessibility at home is higher in 2018 than in 2015, and belongs to the average group of OECD countries in 2018. ICT Usability for learning purposes outside of school is the lowest group in both 2015 and 2018. ICT Usability outside of school for non-learning purposes is in the average group of OECD countries. As a result of this study, we can see that Korea's digital literacy education is weak compared to other OECD countries. Prior to education about the Fourth Industrial Revolution, investment in digital literacy education is needed.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.2
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• pp.127-145
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• 2017

The purpose of this study is to empirical case study for the instructional design of flipped classroom by job-capability advancement of IT business majors. A student of IT business school has learned a lot of management educations for four years. But, they don't recognize a connection between school education and business practice. A subject based on the humanities, and social sciences consisted of mostly the memorization. The undergraduate class lack a practice's curriculum by a creative-oriented lesson rather than memorization-oriented. In particular, An IT business is now recognized as a significance emerging IT investment, the Internet of Things, information security, big data and strategy's ERP. For these reasons, it is important for an instructional design for understanding business practices of the students. Accordingly, Flipped classroom with participatory class be needed increasingly for students' practical sense. We will propose a design method of flipped classroom for inspiring business education. In this, new instructional design overturned traditional teaching method. After the student conducts a prior learn at home, school will accomplish a problem solving through question and answer. This design effected a boredom suppress and creative enforcement of student and an intimacy increase of instructor. In addition, A participatory class and reciprocal peer tutoring will be possible by a spontaneous self-directed learning of student. We were designed course of project type based on big data theory and application to target the fourth-year course. In conclusion, the new instruction provided a help to learning synergy between student and lecturer. During the lessons, the student showed improvement of business sense and enhanced problem solving capability. The lecturer has the intimacy through communication interaction with students.

• The Research Journal of the Costume Culture
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• v.17 no.1
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• pp.177-188
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• 2009

SCM as the important marketing strategy enhance the firm's efficiency and compatibility in global market environment such as global outsourcing. Firms adopted SCM realized the need to evaluate precisely the performance of SCM. In spite of importance of SCM, there was not much intention and research to measure SCM performance in textile fashion industry. Therefore, the purpose of this case study was to measure performance of supply chain management in textile fashion business using BSC(Balanced Score Card) to measure not only financial perspective but also non-financial perspectives such as customer perspective, internal business perspectives, financial perspective, and innovation & learning perspective. The questionnaire developed by the reviews of the literature was adopted for this study. The results of this study showed that SCM performance was enhanced from the point of customer perspective(cost, quality, time, service), financial perspective(cash cycle time, inventory turn over, inventory obsolescence, return on asset, return on investment, capacity utilization), and innovation & learning perspective(cost for human resource management, service for human resources). But there was same performance level regarding internal business perspective(lead time, cost for manufacturing process, product quality control, productive flexibility for time, quantity, and variety). Therefore, we should keep close relationship and two way communication among supply chain members to promote better SCM performance.

• Asia pacific journal of information systems
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• v.32 no.2
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• pp.275-306
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• 2022

Crowdfunding has emerged as an important financing source for diverse cultural projects and commercial ventures in the early stages. Unlike traditional investment evaluation, where structured financial data is critical, such information is typically unavailable for crowdfunding campaigns. Instead, campaign creators prepare pitches containing essential information about themselves and the campaigns, which are crucial in attracting and persuading contributors. Prior literature has examined the effects of different aspects in campaign pitches, but a comprehensive understanding of the theme is lacking. This study aims to fill this gap by identifying the lexicon of frequently used vocabulary in campaign pitches and examining how they are associated with crowdfunding success. Moreover, we examine how the association differs between culture and commercial crowdfunding campaigns. We randomly collected 50,000 campaigns from the cultural and commercial categories on Kickstarter and extracted the 100 most used verbs in the campaign pitches. Based on a machine learning approach combined with principal component analysis, we constructed sets of verbal factors statistically significant in predicting crowdfunding success. The findings also show that cultural and commercial campaigns consist of different verbal components with different effects on crowdfunding success.

• Journal of Korean Society for Quality Management
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• v.25 no.2
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• pp.83-101
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• 1997

We have developed three evaluation checklists of educational softwares for users such as, learners, teachers and parents, not for the software develops or designers. This study has especially focused on CD-ROM titles and softwares on the internet. The followings were selected as the essential attributes that the educational softwares of high quality should possess : ease of use, technical support and interest of learning for learners, educational value and smartness for teachers, packaging integrity, investment value and childproof for parents. The evaluation checklists were developed on the basis of evaluation criteria which were concretion of the essential attributes. The validity of the evaluation checklists was supported by a theoretical study for the development of ckecklists and the actual development process. The interrater reliability and the retest reliability were confirmed by statistical methods. Thus, the developed checklists can be a useful tool to evaluate educational softwares. This study will contribute to improvement of the software quality and help users in selecting educational softwares.

• The Journal of Society for e-Business Studies
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• v.22 no.3
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• pp.57-74
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• 2017

The Electronic Shelf Label (ESL) is an alternative to the paper price label attached to merchandise shelves and is attracting attention as a retail IoT infrastructure that will lead the innovation of offline retail outlets. In general, when introducing a substitute product, the company tends to consider the financial factors such as the efficiency of the investment cost compared to the existing product or the reduction of the operating cost. However, considering only financial factors in the decision-making process, it may not properly reflect the various values associated with corporate strategy and the requirements of stakeholders. In this study, 8 evaluation items (Investment Cost, Operating Cost, Quality Level, Customer Management, Job Efficiency, Maintenance, Functional Expandability, and Store Image) based on BSC's 4 perspectives (Financial, Customer, Internal Business Process, Learning & Growth), and using AHP (Analytic Hierarchy Process) to measure the priorities of evaluation items for domestic small supermarket employees. As a result of the research, priority was given in order of Customer, Learning & Growth, Internal Business Process, and Financial aspects among the evaluation items for adopting the price label, and the electronic price label was supported with higher importance than the paper price label. In contrast to the priorities of the financial aspects of most prior studies, the items of Learning & growth and customer perspectives have relatively high priorities. In particular, respondents classified by job group, The priorities of the 8 evaluation items were different among the groups. These results are expected to provide implications for both companies (retail outlets) and ESL providers (manufacturers and service providers) who are considering the introduction of ESL.

• Korean Journal of Social Welfare
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• v.61 no.4
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• pp.5-33
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• 2009

This study attempted to evaluate the effectiveness of the Supportive Project for the Priority Region of Educational Welfare Investment(SPPREWI) which has been put into action in Korea as a part of national policies for poor school children. In so doing this study aimed to test SPPREWI's legitimacy as well as whether we have to continue this program or not. In order to fulfill this research purpose researchers identified several outcome indicators of SPPREWI, which represent psychosocial and cognitive adjustment. The variables pertaining to psychosocial adjustment domain are: self-concept; depression, anxiety, and suicidal impulse; inclination of assault and indignation; delinquency; school life adjustment; and change in social relations. The variables of cognitive adjustment include recognition of self-control in learning; control strategy of learning behavior; and preparedness for job hunting. In this study the quasi-experimental group contained students from schools which are under the SPPREWI. The control group was composed of students from schools which were free from SPPREWI but under the influence of deteriorating school environment. The quasi-experimental group and the control group were compared in terms of outcome indicators presented earlier. Within the quasi-experimental group both the students below poverty-line and the students above poverty-line were divided into two groups each by the level of service use, and were compared in terms of the outcome variables presented earlier. Study results supported the argument that SPPREWI was effective generally in improving students' school adjustment. Study results also showed that the variable of 'school nurturance' played a significant role in moderating the effect of SPPREWI on a couple of outcome variables specially when schools' overall educational environment was in poor condition. Implication as well as suggestion were presented on the basis of study findings.

• Journal of Information Technology Services
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• v.19 no.2
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• pp.109-124
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• 2020

Facing the 4^th Industrial Revolution era, researches on artificial intelligence have become active and attempts have been made to apply machine learning in various fields. In the field of finance, Robo Advisor service, which analyze the market, make investment decisions and allocate assets instead of people, are rapidly expanding. The stock price prediction using the machine learning that has been carried out to date is mainly based on the prediction of the market index such as KOSPI, and utilizes technical data that is fundamental index or price derivative index using financial statement. However, most researches have proceeded without any explicit verification of the prediction rate of the learning data. In this study, we conducted an experiment to determine the degree of market prediction ability of basic indicators, technical indicators, and system risk indicators (AR) used in stock price prediction. First, we set the core parameters for each financial indicator and define the objective function reflecting the return and volatility. Then, an experiment was performed to extract the sample from the distribution of each parameter by the Markov chain Monte Carlo (MCMC) method and to find the optimum value to maximize the objective function. Since Robo Advisor is a commodity that trades financial instruments such as stocks and funds, it can not be utilized only by forecasting the market index. The sample for this experiment is data of 17 years of 1,500 stocks that have been listed in Korea for more than 5 years after listing. As a result of the experiment, it was possible to establish a meaningful trading strategy that exceeds the market return. This study can be utilized as a basis for the development of Robo Advisor products in that it includes a large proportion of listed stocks in Korea, rather than an experiment on a single index, and verifies market predictability of various financial indicators.

• Proceedings of the IEEK Conference
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• summer
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• pp.382-386
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• 2004

Recently, with the machine learning trend, most of the machine translation systems on over the world use two syntax tree sets of two relevant languages to learn syntactic tree transfer rules. However, for the English-Vietnamese language pair, this approach is impossible because until now we have not had a Vietnamese syntactic tree set which is correspondent to English one. Building of a very large correspondent Vietnamese syntactic tree set (thousands of trees) requires so much work and take the investment of specialists in linguistics. To take advantage from our available English-Vietnamese Corpus (EVC) which was tagged in word alignment, we choose the SITG (Stochastic Inversion Transduction Grammar) model to construct English- Vietnamese syntactic tree sets automatically. This model is used to parse two languages at the same time and then carry out the syntactic tree transfer. This English-Vietnamese bilingual syntactic tree set is the basic training data to carry out transferring automatically from English syntactic trees to Vietnamese ones by machine learning models. We tested the syntax analysis by comparing over 10,000 sentences in the amount of 500,000 sentences of our English-Vietnamese bilingual corpus and first stage got encouraging result $(analyzed\;about\;80\%)[5].$ We have made use the TBL algorithm (Transformation Based Learning) to carry out automatic transformations from English syntactic trees to Vietnamese ones based on that parallel syntactic tree transfer set[6].