• Knowledge Management Research
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• v.9 no.2
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• pp.147-167
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• 2008

This paper aims to explore the success factors of knowledge management in the perspectives of knowledge management integration into operations and to examine the effect of those factors on the knowledge management performance of individual users and organizations in order to link knowledge management performances to operational performances. I found two factors such as "knowledge management integration into operation processes" and "knowledge management integration into application systems" and their measures by means of literature review and modified Delphi research. Exploratory and confirmatory factor analysis confirmed that those two factors and their measures are statistically valid. Besides, the structural equation modeling analysis showed that the relationship between "knowledge management integration into operation processes" and "individual user's performance on knowledge management" and the relationship between "individual user's performance of knowledge managemen" and "organizational performance of knowledge management" are significant.

• Knowledge Management Research
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• v.19 no.2
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• pp.21-45
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• 2018

With the widespread use of smartphones and the development of information technology, an online service called SNS(social network service) has emerged, and as an increasing number of people began to use SNS, extensive research has been conducted on SNS. SNS is an important factor for adolescents who are developing social skills that help them to adapt to the society, and for adults who are stepping into the society. The present study investigates the effects of information search, self-disclosure, interaction, and playfulness, all of which are motivational factors for SNS use, on flow in SNS, and empirically analyzes the degree of these variables influence according to flow in SNS and individual's personal nature(extrovert, introvert). The analysis results showed that information search, self-disclosure, interaction, and playfulness were positively correlated with flow in SNS, and flow in SNS was positively correlated with social skills. The degree of influence varied depending on the individual's personal nature(extrovert, introvert). These findings may provide important insights for researchers studying SNS, SNS managers, and company officials using SNS.

• Proceedings of the KSRS Conference
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• 2008.10a
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• pp.41-44
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• 2008

In this paper, major species of tree were discriminated in compartment by using LiDAR data and optic imagery. This is an important work in forest field. A current digital stock map has created the aerial photo and collecting survey data. Unlike high resolution imagery, LiDAR data is not influenced by topographic effects since it is an active sensory system. LiDAR system can measure three dimension information of individual tree. And the main methods of this study were to extract reliable the individual tree and analysis techniques to facilitate the used LiDAR data for calculating tree crown 2D parameter. We should estimate the forest inventory for calculating parameter. 2D parameter has need of area, perimeter, diameter, height, crown shape, etc. Eventually, major species of tree were determined the tree parameters, compared a digital stock map.

• The Korean Journal of Nuclear Medicine
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• v.35 no.4
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• pp.224-230
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• 2001

EBM is "the conscientious, explicit and judicious use of current best evidence in mating decisions about the care of the individual patient. It means integrating individual clinical expertise with the best available external clinical evidence from systematic research." EBM is the integration of clinical expertise, patient values, and the best evidence into the decision making process for patient care. The practice of EBM is usually triggered by patient encounters which generate questions about the effects of therapy, the utility of diagnostic tests, the prognosis of diseases, or the etiology of disorders. The best evidence is usually found in clinically relevant research that has been conducted using sound methodology. Evidence-based medicine requires new skills of the clinician, including efficient literature-searching, and the application of formal rules of evidence in evaluating the clinical literature. Evidence-based medicine converts the abstract exercise of reading and appraising the literature into the pragmatic process of using the literature to benefit individual patients while simultaneously expanding the clinician's knowledge base. This review will briefly discuss about concepts of evidence medicine and method of critical appraisal of literatures.

• Culinary science and hospitality research
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• v.14 no.2
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• pp.46-60
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• 2008

In the hotel industry, there are the production and consumption of services at the same time, considering direct contact between employees and customers. In this respect, this study was conducted based on more practical factors to grasp employees' feelings and conflicts. The results of this research are as follows. First, individual conflicts among hotel banquet employees influence devotion to the organization which has a direct effect on performance of management. Second, such devotion is closely correlated with the factors of the performance of management. Finally, managing employees' conflicts is the key factor to promote the performance of management. Under these circumstances, there should be more concern in solving problems among employees and special pro-grams for promoting job satisfaction and devotion which bring about more profits as well as a sense of achievement.

• CELLMED
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• v.5 no.3
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• pp.16.1-16.3
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• 2015

Evidence based medicine involves using both the individual clinician's expertise and the current best available external clinical evidence from systematic research in deciding on the appropriate care for individual patients. The current approach to evidence based practice in healthcare adds a third component which is patient values. Evidence based practice is thus a triad, in which the practitioner's expertise, research evidence and the patient's values are all given consideration. The balance to be struck between them depends on the individual case. The literature indicates that complementary medicine practitioners are moving away from traditional knowledge and towards the use of evidence based practice in their clinical discussions. In the context of the daily practice of complementary medicine practitioners and their continuing development of their knowledge base of evidence based practice, this short review discusses the good and bad of a review journal article.

• Knowledge Management Research
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• v.14 no.2
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• pp.117-135
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• 2013

In a contemporary organization, the role of social capital has been increasingly important in sharpening knowledge management practices. The primary objective of this paper is to propose a research model to measure the effects of social capital on individual performance. The model also investigates the mediating mechanism of knowledge acquisition and knowledge transformation, both of which are critical in fostering an enterprise's absorptive capacity. The field data was collected from a knowledge-centric organization. The analysis result reveals that shared goal is crucial in enabling knowledge processes. Furthermore, it is found that knowledge transformation rather than knowledge acquisition is more likely to lead to individual task performance.

• Korean Journal of Breeding Science
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• v.40 no.4
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• pp.371-376
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• 2008

For the purpose of breeding a high-yield superior variety of Korean raisin tree (Hovenia dulcis var. koreana Nakai), whose value as an edible and medicinal resource is increasing, tree candidates for superior individuals were selected from its 11 habitats in Korea from 1996 to 1998. A clone bank preserve was created in 1998 with 70 clones proliferated by grafting; the fruition traits (e.g., the number of fructified laterals, the average number of bunches per fructified lateral, the average number of bunches per fruiting lateral, the fruitpetiole weight per individual, and the yield per individual) of 47 clones that had bloomed and borne fruit were investigated and analyzed in 2002; five upper-ranking clones whose yield per individual exhibited a 261% improvement against the total average were picked in 2005; and three clones, including 'Poong-Sung 1', that showed a difference in their fruit petiole ripening stage, were finally selected in 2007 as high-yield new cultivars of Korean raisin tree.

• International Journal of Advanced Culture Technology
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• v.6 no.4
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• pp.309-316
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• 2018

The main purpose of this study is to understand how cognitive factors influence the way people interact with information/information systems, by conducting comprehensive and in-depth literature reviews and a theoretical synthesis of related research. Adaptive systems have been built around an individual user's characteristics, such as interests, preferences, knowledge and goals. Individual differences in the ability to use new information and communication technology have been an important issue in all fields. Performance differences in utilizing new information and communication technology are sufficiently predictable that we can begin to coordinate them. Therefore, it is necessary to understand cognitive mechanisms to explain differences between individuals as well as the levels of performance. The theoretical synthesis from this study can be applied to design intelligent (i.e., human friendly) systems in our everyday lives. Further research should explore optimization design for user, by integrating user's individual traits (such as emotion and intent) and system modules to improve the interactions of human-system in data-driven environments.

• Journal of information and communication convergence engineering
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• v.19 no.4
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• pp.228-233
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• 2021

In this study, we analyze the credit information (loan, delinquency information, etc.) of individual business owners to generate voluminous training data to establish a bankruptcy prediction model through a partial synthetic training technique. Furthermore, we evaluate the prediction performance of the newly generated data compared to the actual data. When using conditional tabular generative adversarial networks (CTGAN)-based training data generated by the experimental results (a logistic regression task), the recall is improved by 1.75 times compared to that obtained using the actual data. The probability that both the actual and generated data are sampled over an identical distribution is verified to be much higher than 80%. Providing artificial intelligence training data through data synthesis in the fields of credit rating and default risk prediction of individual businesses, which have not been relatively active in research, promotes further in-depth research efforts focused on utilizing such methods.