• Korean Journal of Clinical Pharmacy
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• v.32 no.4
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• pp.281-287
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• 2022

Pharmacists should maintain professional competencies to provide optimal pharmaceutical care services to patients, which can be achieved through continued commitment to lifelong learning. Traditionally continuing education (CE) has been widely used as a way of lifelong learning for many healthcare professionals. It, however, has several limitations. CE is delivered in the form of instructor-led education focused on multiple learners. Learning is passive and reactive for participants, so it sometimes does not lead to bringing behavioral changes in workplace performance. Therefore, recently the concept of lifelong learning tends to move from CE toward continuing professional development (CPD). CPD is an ongoing process that improves knowledge, skills, and competencies throughout a professional's career. It is a more comprehensive structured approach toward the enhancement of personal competencies. It emphasizes an individual's learning needs and goals and enables learning to become proactive, conscious, and self-directed. CPD consists of four stages: reflect, plan, learn, and evaluate. CE is one component of CPD. Each stage is recorded in a CPD portfolio. There are many practical difficulties in implementing the complete CPD system for lifelong learning of pharmacists in many countries including Korea. Applying a hybrid form that utilizes CPD and CE together, as in the case of some countries, could be an alternative. Furthermore, in undergraduate pharmacy education, it is necessary to teach students about CPD and train them on how to perform CPD as a pharmacist.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.2
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• pp.22-31
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• 2023

Governments around the world are enacting laws mandating explainable traceability when using AI(Artificial Intelligence) to solve real-world problems. HAI(Human-Centric Artificial Intelligence) is an approach that induces human decision-making through Human-AI collaboration. This research presents a case study that implements the Human-AI collaboration to achieve explainable traceability in governmental data analysis. The Human-AI collaboration explored in this study performs AI inferences for generating labels, followed by AI interpretation to make results more explainable and traceable. The study utilized an example dataset from the Ministry of Oceans and Fisheries to reproduce the Human-AI collaboration process used in actual policy-making, in which the Ministry of Science and ICT utilized R&D PIE(R&D Platform for Investment and Evaluation) to build a government investment portfolio.

• Asia-Pacific Journal of Business
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• v.14 no.1
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• pp.113-129
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• 2023

Purpose - The purpose of this study is to examine whether trading volume amplifies the extent to which lottery-type stocks are overpriced, and whether economic sentiment index explains time-variation in the magnitude of the volume amplification effect. Design/methodology/approach - We examine monthly returns on 5x5 monthly bivariate portfolios formed by lottery characteristics (measured by maximum daily return) and trading volume. In addition, we perform time-series regression tests to examine how the volume amplification effect changes in high and low economic sentiment periods, after controlling for Fama-French three factors. Findings - Our bivariate portfolio analysis shows that the overpricing of lottery-type stocks are mostly pronounced among high trading volume stocks. In contrast, for low trading volume stocks, overpricing of lottery-type stocks appears to vanish. Furthermore, the amplification effect of trading volume on overpricing of lottery-type stock is concentrated in high economic sentiment periods. Research implications or Originality - This study is the first attempt to examine whether trading volume drives lottery-type stocks' overpricing in the Korean stock market. Furthermore, our analysis unveils the time-varying nature of volume amplification effect. The results suggest that trading volume might play a important hidden role in asset pricing, opening a new line of researches in the future.

• Korean Medical Education Review
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• v.26 no.1
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• pp.19-26
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• 2024

This study examines a systematic and effective approach to career guidance in medical education, with a particular focus on the 6-year integrated career guidance education framework implemented at the College of Medicine, The Catholic University of Korea. Based on the "New SLICE" educational development principles, this framework comprehensively addresses the needs of medical students in career planning and development. It is structured into three phases: understanding yourself, exploring options, and choosing a specialty. The first phase, understanding yourself, helps students to recognize their strengths, weaknesses, aptitudes, and potentials, thereby setting the direction for future career choices. This phase includes various psychological tests and Self-Development and Portfolio courses. The second phase, exploring options, enables students to engage in related activities such as research and practical training, providing direct and indirect experiences across various fields. This phase offers courses including Medical Field Experience, Career Guidance through the Learning Community & Advisory Professors, and Student Participation in Professor Research Projects. The final phase, choosing a specialty, involves students making decisions based on in-depth self-assessment and exploration of majors, with a capstone project being a significant component. Maximizing the efficiency of career decision-making requires integration between the basic medical curriculum and postgraduate education. Including the period up to residency entrance in the framework is necessary for effective career guidance education.

• International Journal of Computer Science & Network Security
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• v.21 no.6
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• pp.304-311
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• 2021

The relevance of the research involves outlining the need for modern professionals to acquire new competencies. In the conditions of rapid civilizational progress, in order to meet the requirements of the labor market in the knowledge society, there is a readiness for continuous training as an indicator of professional success. The purpose of the research is to identify the impact of various forms of application of information technologies for lifelong learning in order to provide the continuous self-development of each person without cultural or age restrictions and on the basis of rapid digital progress. A high level (96%) of need of the adult population in continuing education with the use of digital technologies has been established. The most effective ways to implement the concept of "lifelong learning" have been identified (educational camps, lifelong learning, mass open online courses, Makerspace activities, portfolio use, use of emoji, casual game, scientific research with iVR game, implementation of digital games, work in scientific cafes). 2 basic objectives of continuing professional education for adults have been outlined (continuous improvement of qualifications and obtaining new qualifications). The features of ICT application in adult education have been investigated by using the following methods, namely: flexibility in terms of easy access to ideas, solving various problems, orientation approach, functional learning, group or individual learning, integration of leisure, personal and professional activities, gamification. The advantages of application of information technologies for continuous education (economic, time, and adaptive) have been revealed. The concept of continuous adult learning in the context of digitalization has been concluded. The research provides a description of the structural principles of the concept of additional education; a system of information requests of the applicant, as well as basic technologies for lifelong learning. The research indicates the lack of comprehensive research in the relevant field. The practical significance of the research results lies in the possibility of using the obtained results for a wider acquaintance of the adult population with the importance of the application of lifelong learning for professional activities and the introduction of methods for its implementation in the educational policy of the state.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.63-83
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• 2019

Investors prefer to look for trading points based on the graph shown in the chart rather than complex analysis, such as corporate intrinsic value analysis and technical auxiliary index analysis. However, the pattern analysis technique is difficult and computerized less than the needs of users. In recent years, there have been many cases of studying stock price patterns using various machine learning techniques including neural networks in the field of artificial intelligence(AI). In particular, the development of IT technology has made it easier to analyze a huge number of chart data to find patterns that can predict stock prices. Although short-term forecasting power of prices has increased in terms of performance so far, long-term forecasting power is limited and is used in short-term trading rather than long-term investment. Other studies have focused on mechanically and accurately identifying patterns that were not recognized by past technology, but it can be vulnerable in practical areas because it is a separate matter whether the patterns found are suitable for trading. When they find a meaningful pattern, they find a point that matches the pattern. They then measure their performance after n days, assuming that they have bought at that point in time. Since this approach is to calculate virtual revenues, there can be many disparities with reality. The existing research method tries to find a pattern with stock price prediction power, but this study proposes to define the patterns first and to trade when the pattern with high success probability appears. The M & W wave pattern published by Merrill(1980) is simple because we can distinguish it by five turning points. Despite the report that some patterns have price predictability, there were no performance reports used in the actual market. The simplicity of a pattern consisting of five turning points has the advantage of reducing the cost of increasing pattern recognition accuracy. In this study, 16 patterns of up conversion and 16 patterns of down conversion are reclassified into ten groups so that they can be easily implemented by the system. Only one pattern with high success rate per group is selected for trading. Patterns that had a high probability of success in the past are likely to succeed in the future. So we trade when such a pattern occurs. It is a real situation because it is measured assuming that both the buy and sell have been executed. We tested three ways to calculate the turning point. The first method, the minimum change rate zig-zag method, removes price movements below a certain percentage and calculates the vertex. In the second method, high-low line zig-zag, the high price that meets the n-day high price line is calculated at the peak price, and the low price that meets the n-day low price line is calculated at the valley price. In the third method, the swing wave method, the high price in the center higher than n high prices on the left and right is calculated as the peak price. If the central low price is lower than the n low price on the left and right, it is calculated as valley price. The swing wave method was superior to the other methods in the test results. It is interpreted that the transaction after checking the completion of the pattern is more effective than the transaction in the unfinished state of the pattern. Genetic algorithms(GA) were the most suitable solution, although it was virtually impossible to find patterns with high success rates because the number of cases was too large in this simulation. We also performed the simulation using the Walk-forward Analysis(WFA) method, which tests the test section and the application section separately. So we were able to respond appropriately to market changes. In this study, we optimize the stock portfolio because there is a risk of over-optimized if we implement the variable optimality for each individual stock. Therefore, we selected the number of constituent stocks as 20 to increase the effect of diversified investment while avoiding optimization. We tested the KOSPI market by dividing it into six categories. In the results, the portfolio of small cap stock was the most successful and the high vol stock portfolio was the second best. This shows that patterns need to have some price volatility in order for patterns to be shaped, but volatility is not the best.

• Journal of Technology Innovation
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• v.20 no.2
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• pp.75-107
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• 2012

Previous researches on technological innovation have several limitations such as lack of general mechanism for technological innovation(inputs, throughputs and outputs of technological innovation), large company oriented studies, and ignoring importance of technology management capabilities. So, this study suggested a new model using resource-based theory and system theory, and empirically applied that to SMEs. Structural equation model analysis by using 223 SMEs in Daegu region provided a support for most of hypotheses. Research results showed that all of factors on technological innovation were significantly and positively related with each other: inputs(R&D leadership, innovation strategy, R&D investment, R&D human resource management, external network), throughputs(portfolio management, project management, technology commercialization) and output(technological innovation). In case of technological innovation inputs, R&D leadership influenced on innovation strategy positively and significantly. And R&D leadership and innovation strategy had positive and significant effects on R&D investment, R&D human resource management and external network. R&D human resource management and external network exerted positive and significant influences on technological innovation throughputs such as portfolio management and project management. But R&D investment did not significant impacts on technological innovation throughputs. Among technological innovation throughputs, both portfolio management and project management had positive and significant effect on technology commercialization. In addition, technology commercialization acted positively and significantly technological innovation output. This study suggests necessary of efforts to implement innovation strategy and manage R&D human resource effectively based on CEO's innovativeness and entrepreneurship. Also, if SMEs want to develop technology and commercialize it, they have to cooperate with external technology resources and informations. Research results revealed that proper level of R&D investment, internal and external communication, information sharing, and learning and cooperative culture were very important for improvement of technological innovation performance in SMEs. Especially, this research suggested that if SMEs manage technological innovation process effectively based on resource-based and system approaches, then they can overcome their resource limitations and gain high technological innovation performance. Also, useful policy support for technological innovation of central or regional government by this research model is important factor for SMEs' technological innovation performance.

• Korean Journal of Social Welfare
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• v.57 no.1
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• pp.147-167
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• 2005

In the West, the model for provision of services to the disabled has shifted from a focus on the individual to that of a social model. This shift reflects a movement away from a materialist approach to one that is grounded in idealism. In the context of themultiple service paradigm movement this paper explores trends in the provision of social services to the disabled in Korea. In order to accomplish this task the writer conducted an analysis of Korean Community Chest proposals, existing legislation and legislative systems as well as the disability movement in Korea. Data was collected from the 2003 program proposals submitted to the Korea Community Chest. This data was classified using Priestly's Multiple Service Paradigm of Disability. The results suggest that the Korean Community Chest favored an individual idealist approach. There was only limited support given to proposals that reflect the social model approach and thus issues of accessibility, independent living and inclusion are given short shrift. This paper argues the need for a reversal of this trend through the Korean Community Chest supporting issues mentioned above and that the social model should be given greater attention by this funding body. Implications for practice using the multiple paradigm model are discussed.

• The Journal of Fisheries Business Administration
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• v.38 no.3
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• pp.1-24
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• 2007

This study examines the relative competitive position of korean fisheries products market over period of 2001 to 2005 and selects strategic exported goods from its position provide against concluding FTA agreement with China and Japan. The portfolio approach is used to develope competitiveness-market share matrix. The position of each export countries on the competitiveness market share matrix will be in one of nine cells, with differing implications for their role in korean fisheries products market. Based the competitiveness market share matrix, each export countries are divided into first cell type, third cell type and ninth cell type and the items of ninth cell type are chosen as strategic exportable goods. The results of this study are summarized as follows: First, in the case of each country change aspect, China is trending to decrease quantity but shows number of item that increase gradually with high share still, and look trend that increase third cell type item too gradually, and in case of first cell type item is that competitive position is high more relatively than the Korea. In the case of Japan, ninth cell type item is falling gradually, and share does not show big change generally in case of first cell type item. Second, in the case of strategic exportable goods that analyze using domestic competitive position cell type and MCA with competitive position in domestic fisheries products market and export market, was appear by codfish(frozen), cuttle fish(frozen) etc. in case with China, and by mackerel(frozen), other sea bream(frozen), laver(dry), bathing(dry) etc. in case with Japan. And analyzed goods that have all export competitive advantages in both countries are roes of alaska pollack(frozen), other roes of fish(except frozen roes of alaska pollack), squid(frozen) etc.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.6
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• pp.2030-2037
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• 2010

In this study, We will find approach to improve the efficiency of business support policies for small-medium enterprises(SMEs) in the regional strategic industries. Especially, based on the customized needs of SMEs in strategic industries, we intend to find directions of the business support policy. we can use the decisions criteria(for example, business strategy, business portfolio, effective budget allocation, core business plans, etc.) by research results. To achieve the research objectives, we surveyed from 243 SMEs in regional strategic industry. we found the differences of industry characteristics, strategy and industry-specific by growth stages. Thus, this result implies the necessity of creating a customizing policy for SMEs. We found implications about the efficiency improvement of regional industrial policy. In conclusion, regional industrial policy must reflect the central government's policy direction of regional industries and the demand of SMEs.