• The Journal of Korean Medicine
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• v.45 no.1
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• pp.257-270
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• 2024

Objectives: Korea has a unique history of being both a recipient and a donor of Official Development Assistance (ODA), and the international community expects Korea to contribute to the development of developing countries by utilizing this experience. Traditional Korean medicine (TKM) seeks to contribute to global health, however the concept of ODA has been unclear and there has been no clear strategy and sustainable initiatives. Methods: This study examines the concept of ODA and its application in global health, including business objectives, scale, evaluation principles, and development strategies. Additionally, we reviewed the current status of Traditional Korean medicine globalization projects and conducted a SWOT analysis of the internal and external environment of the TKM sector. Based on these findings, we redefined the concept of ODA for TKM and proposed suggestions for its development. Results: The current study identified key ideas for TKM ODA. It should prioritize the improvement of primary healthcare in recipient countries, aligning with the international evaluation criteria of the SDGs. Secondly, TKM's 70 years of experience can be leveraged to enhance both the competence and economic benefits of recipient countries' medical systems. Based on these concepts, a TKM ODA development model was proposed, comprising two core visions, three development strategies and goals, and six core values. Conclusion: This study systematically examined the TKM in global health and suggested sustainable development strategies for TKM ODA. Through its expansion, TKM could contribute to the advancement of global traditional medicine and its overall engagement in healthcare.

• Information Systems Review
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• v.4 no.2
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• pp.323-341
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• 2002

Due to the development of information technology, IT industry has become the core factor of a country competence. So we recognized the importance of information network technology as a basis of IT industry. The infrastructure and service in domestic super-highway information networks show the rapid growth both in quantity and quality because of the government programs. However, foreign information network equipment companies have most of the domestic market-share and have controlled core part of the industry, thus national companies are having a difficulty in penetrating the industry market. In this paper, we will analyze domestic super-highway information network equipment industry and make its activating plan using competitive strategy model.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.275-285
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• 2013

As the world economy has been changed into the knowledge-based society, all economic activities have globalized and intensified competition in the marketplace, and the forces of these changes are even more aggressively pressuring today's business. According to many businesses are focused on the core competence and various functions are outsourced by service providers, many firms pay heavily attention to business service. Although the importance of business service, domestic business service industry shows a low labor productivity. On the other hand, foreign business service companies in korea take a substantial portion of business service market. Thus, domestic business service needs to increase a competitiveness because of potential growth opportunities. This study attempts to find out the ripple effect of business service industry on other industry.

• Journal of the Korea Convergence Society
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• v.6 no.6
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• pp.75-80
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• 2015

To train convergence experts ICT infrastructure must be learned IoT use capabilities of things. In this paper, targeted to students that are majoring in computer science, and for the design of the curriculum and the educational model that handles education of operation in general for training IoT-related education for five months to experts of convergence training describe the contents. Course is the basic ability of the process, core competence course, is divided into real-life capability process and on-site training course, was constructed in a total of 10 stages of the process details. Curriculum, it was designed to learn sensing technology, network technology, security, and content production technology. This educational model is utilized for job creation human resource training project of 2015 Ministry of Employment and Labor, it demonstrated the utility to contribute in order to achieve a high completion and the employment rate. Applicable to future university education plans to expand the curriculum, including courses that complement the Java.

• Journal of Korean Library and Information Science Society
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• v.49 no.2
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• pp.267-300
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• 2018

The purpose of this study is to develop conceptualization models of reading, information, ICT, and digital literacy through conceptual differences of these literacy by reviewing and defining the concepts of literacy as well as reading, information, ICT, and digital literacy. Computer literacy has emerged as a concept that explains the phenomenon of contemporary social, cultural, and information technology development, and since then, computer literacy has since changed to IT, ICT literacy, and digital literacy. As a result of the study, a conceptualization model of the reading, information, ICT, and digital literacy was developed. In this model, these literacy whose terms have changed according to the technological development of media, have been classified as medium-centered literacy. And reading and information literacy that focuses on the cognitive process of understanding, utilizing, and evaluating texts and information is categorized as process-oriented literacy. In the digital environment, reading and information literacy is a core competence to critically think and evaluate the texts that are on media, and further research is needed to reduce the reading and the information gap among readers.

• Journal of Practical Engineering Education
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• v.14 no.2
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• pp.267-277
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• 2022

Achievement at university is recognized in a comprehensive sense as the level of qualitative change and development that students have embodied as a result of their experience in university education. Therefore, the academic achievement of university students will be given meaning in cooperation with the historical and social demands for diverse human resources such as creativity, leadership, and global ability, but it is practically an indicator of the outcome of university education. Measurement of academic achievement by such credits involves many problems, but in particular, standardization of academic achievement by credits based on evaluation methods, contents, and university rankings is a very difficult problem. In this study, we present a model that uses machine learning techniques to predict whether or not academic achievement is excellent for D-University graduates. The variables used were analyzed using up to 96 personal information and bachelor's information such as graduation year, department number, department name, etc., but when establishing a future education course, only the data after enrollment works effectively. Therefore, the items to be analyzed are limited to the recommended ability to improve the academic achievement of the department/student. In this research, we implemented an academic achievement prediction model through analysis of core abilities that reflect the philosophy, goals, human resources image, and utilized machine learning to affect the impact of the introduction of the prediction model on academic achievement. We plan to apply the results of future research to the establishment of curriculum and student guidance conducted in the department to establish a basis for improving academic achievement.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.331-337
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• 2022

Smart learning is augmented with digital, context-aware, and adaptable technologies to encourage students to learn better and faster. To ensure that digital learning is successful and that implementation is efficient, it is critical that the dimensions of digital learning are arranged correctly and that interactions between the various elements are merged in an efficient and optimal manner. This paper builds and discusses a basic framework for smart learning in the digital age, aimed to improve students' abilities and performance in learning. The proposed framework consists of five dimensions: Teacher, Technology, Learner, Digital content, and Evaluation. The Teacher and Learner dimensions operate on two levels: (a) an abstract level to fit in knowledge and skills or interpersonal characteristics and (b) a concrete level in the form of digital devices used by teachers and learners. Moreover, this paper proposes asynchronous online course delivery model. An Arabic smart learning platform has been developed, based on these smart learning core dimensions and the asynchronous online course delivery model, because despite the official status of this language in many countries, there is a lack of Arabic platforms to teach Arabic. Moreover, many non-native Arabic speakers around the world have expressed an interest in learning it. The Arabic digital platform consists of over 70 lessons classified into three competence levels: beginner, intermediate, and advanced, delivered by Arabic experts and Arabic linguists from various Arab countries. The five dimensions are described for the Arabic platform in this paper. Learner dimension is the Arabic and non-Arabic speakers, Teacher dimension is Arabic experts and Arabic linguistics, Technology dimension consists of technology for Arabic platform that includes web design, cloud computing, big data, etc. The digital contents dimension consists of web-based video, records, etc. The evaluation dimension consists of Teachers rating, comments, and surveys.

• Journal of Distribution Science
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• v.7 no.1
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• pp.5-34
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• 2009

This article describes a business case of ROSEWeb, a floral distribution service by internet of Newrun System Company. Newrun System is one of the floral distribution IT solution company. The purpose of this case study is to find out which factors of ROSEWeb solution of successful business model and internet distribution strategy that plays an important role as the floral distribution IT service. ROSEWeb has experienced many challenging obstacles while they prepare for this floral distribution IT service. This case study has found that Newrun System Company execute the rapidly transformation of business model to cope with changing situation. Specially, so far, ROSEWeb continuously keep on competitive advantage as floral distribution IT service through building core competence. this study shows that ROSEWeb's case broadly apply reference model to the building business model and formulating floral distribution service strategy and other internet business models. Finally, we intends to discuss about theses questions. the question is "by the existing state of entering Internet portal(Yahoo, Naver, Daum), Can ROSEWeb have sustainable competitive advantage in floral distribution service?", and "what is Newrun System's next business model?". Through the intensive interviews with people involved in the development of ROSEWeb, this article provides important implications to the business community who is preparing for new applications for mobile internet.

• Journal of the Korean association of regional geographers
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• v.8 no.4
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• pp.529-541
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• 2002

This paper aims to provide a context-specific interpretation on the shifting process of in-house R&D spaces in a large Korean firm in the context of rapidly changing markets and technology. Drawing on the case study of LG Electronics Company, one of the Korea's flagship companies, I examine the causes and mechanisms leading to a shift in domestic R&D spaces and the nature of learning processes between R&D teams and between R&D and other organizational units, particularly manufacturing. It appears that the current reshaping processes of domestic R&D spaces in LGE focus more on the clustering of core R&D laboratories than the geographical integration of conception and execution. However, it should not simply be viewed that such a move would be reduced to the linear model of innovation and organizational learning. Instead, it involves the firm-specific mode of regulating organizational competences. As contextual variables to induce such a firm-specific mode of organizational change, I consider the spatial form of organization, the spatial sources of knowledge and learning, and the powers of relational learning that can be made between distanciated actors and teams.

• Asia pacific journal of information systems
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• v.19 no.1
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• pp.33-62
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• 2009

Internet computing is a disruptive IT innovation. Semantic Web can be considered as an IT innovation because the Semantic Web technology possesses the potential to reduce information overload and enable semantic integration, using capabilities such as semantics and machine-processability. How should organizations adopt the Semantic Web? What factors affect the adoption and diffusion of Semantic Web innovation? Most studies on adoption and diffusion of innovation use empirical analysis as a quantitative research methodology in the post-implementation stage. There is criticism that the positivist requiring theoretical rigor can sacrifice relevance to practice. Rapid advances in technology require studies relevant to practice. In particular, it is realistically impossible to conduct quantitative approach for factors affecting adoption of the Semantic Web because the Semantic Web is in its infancy. However, in an early stage of introduction of the Semantic Web, it is necessary to give a model and some guidelines and for adoption and diffusion of the technology innovation to practitioners and researchers. Thus, the purpose of this study is to present a model of adoption and diffusion of the Semantic Web and to offer propositions as guidelines for successful adoption through a qualitative research method including multiple case studies and in-depth interviews. The researcher conducted interviews with 15 people based on face-to face and 2 interviews by telephone and e-mail to collect data to saturate the categories. Nine interviews including 2 telephone interviews were from nine user organizations adopting the technology innovation and the others were from three supply organizations. Semi-structured interviews were used to collect data. The interviews were recorded on digital voice recorder memory and subsequently transcribed verbatim. 196 pages of transcripts were obtained from about 12 hours interviews. Triangulation of evidence was achieved by examining each organization website and various documents, such as brochures and white papers. The researcher read the transcripts several times and underlined core words, phrases, or sentences. Then, data analysis used the procedure of open coding, in which the researcher forms initial categories of information about the phenomenon being studied by segmenting information. QSR NVivo version 8.0 was used to categorize sentences including similar concepts. 47 categories derived from interview data were grouped into 21 categories from which six factors were named. Five factors affecting adoption of the Semantic Web were identified. The first factor is demand pull including requirements for improving search and integration services of the existing systems and for creating new services. Second, environmental conduciveness, reference models, uncertainty, technology maturity, potential business value, government sponsorship programs, promising prospects for technology demand, complexity and trialability affect the adoption of the Semantic Web from the perspective of technology push. Third, absorptive capacity is an important role of the adoption. Fourth, suppler's competence includes communication with and training for users, and absorptive capacity of supply organization. Fifth, over-expectance which results in the gap between user's expectation level and perceived benefits has a negative impact on the adoption of the Semantic Web. Finally, the factor including critical mass of ontology, budget. visible effects is identified as a determinant affecting routinization and infusion. The researcher suggested a model of adoption and diffusion of the Semantic Web, representing relationships between six factors and adoption/diffusion as dependent variables. Six propositions are derived from the adoption/diffusion model to offer some guidelines to practitioners and a research model to further studies. Proposition 1 : Demand pull has an influence on the adoption of the Semantic Web. Proposition 1-1 : The stronger the degree of requirements for improving existing services, the more successfully the Semantic Web is adopted. Proposition 1-2 : The stronger the degree of requirements for new services, the more successfully the Semantic Web is adopted. Proposition 2 : Technology push has an influence on the adoption of the Semantic Web. Proposition 2-1 : From the perceptive of user organizations, the technology push forces such as environmental conduciveness, reference models, potential business value, and government sponsorship programs have a positive impact on the adoption of the Semantic Web while uncertainty and lower technology maturity have a negative impact on its adoption. Proposition 2-2 : From the perceptive of suppliers, the technology push forces such as environmental conduciveness, reference models, potential business value, government sponsorship programs, and promising prospects for technology demand have a positive impact on the adoption of the Semantic Web while uncertainty, lower technology maturity, complexity and lower trialability have a negative impact on its adoption. Proposition 3 : The absorptive capacities such as organizational formal support systems, officer's or manager's competency analyzing technology characteristics, their passion or willingness, and top management support are positively associated with successful adoption of the Semantic Web innovation from the perceptive of user organizations. Proposition 4 : Supplier's competence has a positive impact on the absorptive capacities of user organizations and technology push forces. Proposition 5 : The greater the gap of expectation between users and suppliers, the later the Semantic Web is adopted. Proposition 6 : The post-adoption activities such as budget allocation, reaching critical mass, and sharing ontology to offer sustainable services are positively associated with successful routinization and infusion of the Semantic Web innovation from the perceptive of user organizations.