• Knowledge Management Research
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• v.24 no.4
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• pp.1-22
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• 2023

Knowledge management can be defined as the valuable storing and creation of new knowledge, as well as the sharing of this knowledge to be applied in all areas of an organization's management activities (Turban et al., 2003). In a knowledge-based society where intangible intellectual assets are the source of competitive advantage rather than tangible assets, knowledge management activities are emphasized in both academia and industry. This study analyzes research on "knowledge management" keyword indexed in the Korean Citation Index (https://kci.go.kr), operated by the National Research Foundation of Korea (NRF), to identify related research trends in Korea and suggest future directions for knowledge management activities. The results show that knowledge management is being researched through the integration of various fields and theories, indicating the potential for expanding research topics and fostering interdisciplinary collaboration. Furthermore, the study of knowledge management often include the keyword 'innovation', emphasizing its significant role in organizational and technological innovations. The analysis of keywords by year also reveals that they reflect the major environmental changes of each period, demonstrating the increasing importance of knowledge management in the era of the Fourth Industrial Revolution.

• Korean Business Review
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• v.14
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• pp.189-210
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• 2001

According to Ferber (1988), philosophy of science considerations are particularly important for an area like consumer research that seeks to be interdisciplinary. The fact that the topic is studied by so many disciplines with different research traditions immediately raises the question of how one evaluates the (often conflicting) knowledge claims of its various practitioners. Closely related to this is the issue of whether it is even possible to study the topic in a truly interdisciplinary manner or whether a multidisciplinary approach is worth trying. In fact, this issue has triggered heated debates on positivism and relativism in consumer research and a significant number of consumer researchers, though majority of them still resorts to the traditional positivist paradigm, has rejected the tenets of positivism and has turned instead to relativism as the emergent paradigm for knowledge generation. The purpose of this paper is to elaborate on the possibility of eclecticism between positivism and relativism in consumer research. However, self-justifying system of each research camp let any comparison or attempt to reconcile regress to the questioning of philosophical assumption, "Objective reality does exist?", which can not be resolved. As Kuhn (1970) noted, philosophy of science may be chosen for reasons that are ultimately personal and subjective. Therefore, the possibility of eclecticism may be reserved. Rather, complementarity of each research practice can be suggested to make consumer research achieve holistic disciplinary status. Both camps can get nowhere by challenging respective philosophical underpinnings but can advance knowledge on substantive and methodological domains by complementing each other.

• Journal of Korean Library and Information Science Society
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• v.28
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• pp.39-59
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• 1998

The purpose of this study is to develop the education programs for the archival librarian in Korea. The importance of archival work requires that archivists should receive an archival education at university. But there is no professional education programs in Korea. The interdisciplinary character of archival studies programs make it possible to place them in a variety of setting, such as a department of library and information science, department of history. Currently, archival education must assume a much more prominent role within the library and information science. Library and information science educators, increasingly concerned with their own survival, seek rational ways to diversify their area. They are looking at mergers with allied fields. Archival education programs will find a welcome home in a number of existing department of library and information science. Archival education programs could be provided according to three categories undergraduate coursework, master of archival studies, and continuing education programs. The body of knowledge that a student should master as part of an archival education program is classified here as basic knowledge of archival studies, specified knowledge of archives and records, practical knowledge of archives and records management, and complementary and contextual knowledge of archival studies.

• Journal of Intelligence and Information Systems
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• v.18 no.2
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• pp.1-17
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• 2012

The Smartphone, one of essential mobile devices widely used recently, can be very effectively applied to capture knowledge on the spot by jointly applying the pervasive functionality of cloud computing. The process of knowledge capturing can be also effectively automated if the topic of knowledge is automatically identified. Therefore, this paper suggests an interdisciplinary approach to automatically acquire knowledge on the spot by combining technologies of text mining-based topic identification and cloud computing-based Smartphone. The Smartphone is used not only as the recorder to record knowledge possessor's dialogue which plays the role of the knowledge source, but also as the sensor to collect knowledge possessor's context data which characterize specific situations surrounding him or her. The support vector machine, one of well-known outperforming text mining algorithms, is applied to extract the topic of knowledge. By relating the topic and context data, a business rule can be formulated, and by aggregating the rule, the topic, context data, and the dictated dialogue, a set of knowledge is automatically acquired.

• Journal of Korean Society of Archives and Records Management
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• v.3 no.2
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• pp.34-51
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• 2003

The purposes of this study are to categorize the archival body of knowledge based on the analysis of two guidelines and websites of 10 archival graduate programs in the United States, and to make suggestions for the development of archival education in Korea. Basic knowledge, core knowledge, complementary knowledge, practical knowledge, and research knowledge are found as components of the archival body of knowledge. The basic knowledge is the ability to understand general circumstances related to records and archives. The core one is to master the required competence as archivists. The complementary one is to understand other disciplinary backgrounds and their various research methods. The practical one is to be obtained from field experiences and the research one is to make a scholastic contribution through a deep research process. Curriculum development for preservation, electronic records management, use of computer technologies, archival services and advocacy, more interdisciplinary courses and internship programs are suggested as important factors for the future archival education. And cooperative research and appointment of more faculty members are also suggested. Finally, the development of guideline for Korean archival graduate programs are strongly suggested.

• Journal of the Korean Society for information Management
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• v.17 no.2
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• pp.37-66
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• 2000

This study attempts to reorganize the knowledge classification system for the research fields and majors in education by designing a new classification schedule. Content analysis of the majors and curriculums in the universities and major areas of the academic professors in Korea, and the comparison with the various headings in several classification systems for research fields were carried out. Based upon the comparison with library classification systems and reviews and opinions of subject specialists in major disciplines, finally, a knowledge classification system composed of three parts - schedules, tables and a relative index - was presented. The proposed classification scheme was tested for classifying the research projects listed in the 1998 catalog of the academic research funded by Korea Research Foundation. Also, several ways for developing a more useful knowledge classification scheme to organize disciplinary information effectively and to encourage interdisciplinary research were suggested.

• Journal of Science and Technology Studies
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• v.16 no.1
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• pp.5-22
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• 2016

MERS(Middle East Respiratory Syndrome), an acute and infectious viral disease with high fatality sneaked in South Korea in May 2016. Although MERS is officially declared to be exterminated in Korea by the date of December 24, it aroused a great panic throughout the country and remained many tasks requiring sincere deliberations and innovative actions. This study starts to summarize all that had been happening during first 7 months since last May, reconsider the whole process in light of disaster paradigm, analyze the causes and tasks of such turmoil under the framework of social medicine. It is wrapped up with the visions and prospect of the social medicine, an interdisciplinary approach that takes into account the expert knowledge of academia, administrative knowledge of government, media knowledge from traditional/new media and lay knowledge of civil society.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.63 no.10
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• pp.1337-1346
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• 2014

Power system technologies in the area of smart grid are being converged with communication system technologies or information technologies(IT). This interdisciplinary action affects on two parts vigorously so that IT has become a essential part of power industry. But terminologies of two parts are confused and it is necessary that these are standardized to develop the industry. The writing system of the Open Korean Knowledge Dictionary for standardization of smart grid terminologies which are IEC TC 57 glossary and non-glossary is proposed. The writing system includes the process of collection, writing guideline and standardization of terminologies. Writing results of 90,000 terminologies for electricity, communication and computer fields including smart grid terminologies, which are registered in the Open Korean Knowledge Dictionary, are shown. The system provides the capability of collection and delivery of academic society opinions for the selected and interpreted terminologies through the internet for standardization and industry propagation of smart grid terminologies.

• Clinical and Experimental Pediatrics
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• v.65 no.5
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• pp.239-249
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• 2022

Cells survive and proliferate through complex interactions among diverse molecules across multiomics layers. Conventional experimental approaches for identifying these interactions have built a firm foundation for molecular biology, but their scalability is gradually becoming inadequate compared to the rapid accumulation of multiomics data measured by high-throughput technologies. Therefore, the need for data-driven computational modeling of interactions within cells has been highlighted in recent years. The complexity of multiomics interactions is primarily due to their nonlinearity. That is, their accurate modeling requires intricate conditional dependencies, synergies, or antagonisms between considered genes or proteins, which retard experimental validations. Artificial intelligence (AI) technologies, including deep learning models, are optimal choices for handling complex nonlinear relationships between features that are scalable and produce large amounts of data. Thus, they have great potential for modeling multiomics interactions. Although there exist many AI-driven models for computational biology applications, relatively few explicitly incorporate the prior knowledge within model architectures or training procedures. Such guidance of models by domain knowledge will greatly reduce the amount of data needed to train models and constrain their vast expressive powers to focus on the biologically relevant space. Therefore, it can enhance a model's interpretability, reduce spurious interactions, and prove its validity and utility. Thus, to facilitate further development of knowledge-guided AI technologies for the modeling of multiomics interactions, here we review representative bioinformatics applications of deep learning models for multiomics interactions developed to date by categorizing them by guidance mode.

• Journal of the Ergonomics Society of Korea
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• v.29 no.4
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• pp.521-525
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• 2010

UX (User Experience) Design was an interdisciplinary approach in humanities, engineering, science and design. We classified the roles of user experience; requirement analysis which are user research, constraints analysis and direction analysis, concept design, information architecture, physical UI, graphical UI, sound UI, Olfactory UI, prototype, evaluation, launch, localization, and knowledge management/UI DB. User research methods were classified by the relation of designer, user, and product/service. We reviewed three issues of UX design; complexity management, efficiency management, and mapping management.