• Knowledge Management Research
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• v.12 no.3
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• pp.59-71
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• 2011

This study intends to examine the effect of research and development (R&D) expenditure effects on firm value through patent and earing persistence. The patent is the representative intangible asset which objectively indicates a typical product of research and development activities to external parties. If a firm has acquired the patent, it receives amicable evaluation from the market compared to the firm which has not acquired patent. Empirical analysis is performed for non-banking firms (1,860 firm-years) listed on Korean Stock Exchange with December fiscal year-end over 2004-2009. Research results are as follows. First, the multiple pricing of patent acquiring firm and earing persistence increased group showed that they have higher prices than the other groups. Second, the multiple pricing of R&D expenditures of earing persistence increased group showed that they have higher prices than the other group. Third, the R&D expenditures of earing persistence increased group is receiving more friendly evaluation from the stock market than the other group.

• Knowledge Management Research
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• v.10 no.4
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• pp.31-42
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• 2009

With the rapid development of information technology, e-learning is growing in corporate. However, there are still problems in learning, such as low learning persistence rate. Learning outcomes are complex phenomenon influenced by a multitude of factors, it is need to considering the direct and indirect causal relationship among various factors. Therefore, the purpose of this study was to develop the causal model that explains the learning outcomes (satisfaction learning persistence) in corporate e-learning. This study was also intended to examine the causal relationship between the interaction and learning persistence through satisfaction mediators. For this, online survey was conducted with a sample of 270 learners who enrolled in cyber training course at A company. The major findings of this study are as follows: First, internality (internal locus of control, ${\beta}=.154$), interaction (${\beta}=.489$), satisfaction (${\beta}=.304$) have direct effect on learning persistence. Second, the interaction has direct effect on the satisfaction (${\beta}=.320$). Third, the satisfaction has direct effect on the learning persistence, and mediating the interaction and learning persistence. This result will contribute to build a learning strategy to improve learning outcomes.

• Knowledge Management Research
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• v.24 no.1
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• pp.127-145
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• 2023

This paper analyzed a patent trend for technological domain of hydrogen fuel cell, can improve future energy and pollution problems. Patent analysis is used in establishing a technological roadmap which it can discover the current technology capability and future technological development direction. However, the previous patent analysis is qualitative analysis and simple statistical analysis. The reason why it incorrectly analysis patent does not reflect the current technology environment. The current technology environment is development through recombination of technologies. In addition to, the speed of technological development is rapidly growing. So, qualitative analysis does not satisfy the analysis requirements of the times. This paper utilized KP(Knowledge Persistence)-based main path analysis and text mining methods to reflect the current technological environment. As a result, we found core patents, main technology development, and promising technologies for technological domain of the hydrogen fuel cell.

• The Korean Journal of Emergency Medical Services
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• v.19 no.1
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• pp.51-62
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• 2015

Purpose: This study was undertaken to examine the effects regarding reeducation of cardiopulmonary resuscitation on persistence of nursing students' knowledge, performance, and self-efficacy. Methods: The research design for this study was a repeated experimental design featuring 35 female nursing students. Participants were educated using the standardized cardiopulmonary resuscitation protocol from the American Heart Association. Three months after the initial education, participants received reeducation about cardiopulmonary resuscitation. Knowledge and self-efficacy were measured before the initial education. Knowledge, performance, and self-efficacy were measured immediately after the initial education, 3 months later, and 6 months later. Collected data were analyzed using PASW Statistics 18.0. Results: Knowledge and self-efficacy significantly increased immediately after the initial education; knowledge, performance, and self-efficacy significantly decreased 3 months afterwards. No further decrease occurred until 3 months after reeducation. Conclusion: These results suggest that the duration between initial education and reeducation was insufficient, although the effects of cardiopulmonary resuscitation education were maintained 3 months after reeducation.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.25 no.4
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• pp.296-311
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• 2021

Topological Data Analysis (TDA), a relatively new field of data analysis, has proved very useful in a variety of applications. The main persistence tool from TDA is persistent homology in which data structure is examined at many scales. Representations of persistent homology include persistence barcodes and persistence diagrams, both of which are not straightforward to reconcile with traditional machine learning algorithms as they are sets of intervals or multisets. The problem of faithfully representing barcodes and persistent diagrams has been pursued along two main avenues: kernel methods and vectorizations. One vectorization is the Betti sequence, or Betti curve, derived from the persistence barcode. While the Betti sequence has been used in classification problems in various applications, to our knowledge, the stability of the sequence has never before been discussed. In this paper we show that the Betti sequence is unstable under the 1-Wasserstein metric with regards to small perturbations in the barcode from which it is calculated. In addition, we propose a novel stabilized version of the Betti sequence based on the Gaussian smoothing seen in the Stable Persistence Bag of Words for persistent homology. We then introduce the normalized cumulative Betti sequence and provide numerical examples that support the main statement of the paper.

• Journal of the Korean Society of School Health
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• v.32 no.3
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• pp.144-151
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• 2019

Purpose: The purpose of this study is to examine academic stress, social support and learning management system(LMS) utilization satisfaction of learners attending online graduate schools and understand the factors influencing their academic persistence. Methods: The participants were students of K online graduate school and the data of 143 students, in total, were collected from April to May in 2019. For data analysis, frequency analysis, x² test, t-test, F-test, Pearson's correlation and multiple regression analysis were conducted using SPSS ver. 23. Results: Academic stress, social support, and LMS utilization satisfaction were associated with academic persistence of online graduate students. The multiple regression analysis of the factors influencing academic persistence showed that the model was significant (p<.001) with an explanatory power of 23% and that significant factors influencing it were academic stress (β=-.23, p=.002), LMS utilization satisfaction (β=.31, p<.001) and jobs (β=.23, p=.002). Conclusion: Although the online graduate students' level of academic persistence was high, it is required to develop strategies to alleviate their academic stress and increase LMS utilization rate in order to increase their persistence to academic success. In addition, it is necessary to provide the foundation on which the utilization of major knowledge regarding jobs can be enhanced, reflecting the characteristics of online graduate students. Furthermore, this study is expected to contribute to the extension of professional and advanced education in response to social needs by developing a variety of online high education learning systems beyond time and space.

• The Journal of Korean Medicine
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• v.44 no.1
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• pp.38-55
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• 2023

Objectives: The purpose of this study was to provide direction for future research in the field of Korean medicine by analyzing microbiome based technologies emerging as a new diagnostic and treatment paradigm. Methods: To achieve the purpose of the study intellectual property data was used. After establishing citation network from registered microbiome-related US patents, citation network was analyzed by knowledge persistence-based main path approach to understanding technological trajectories. Furthermore, community detection algorithms were used to quantitatively identifying specific technological domain in a particular time period. Results: Results shows that early technologies in livestock industry contribute most to the recent patents. Knowledge in the patents flow through the path of food and beverage technological domain, and finally are inherited to the recent development of diagnosis, treatment and prevention technic. Conclusions: This study indicate that developing diagnostic tools which can link the composition of microbiome to specific diseases should be given high priority. Researches should lead to novel therapeutic strategies. Specifically, improving reliability of pattern identification and finding effective therapeutic compositions based on principles of Korean medicine is necessary.

• Korean Journal of Clinical Pharmacy
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• v.21 no.2
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• pp.81-89
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• 2011

Medication adherence is an important public health issue. This study is conducted to explore non-adherence of elderly with hypertension and/or diabetes mellitus and to better understand its' influencing factors. To explore non-adherence, 605 elderly patients in community were surveyed with Modified Morisky Scale (MMS), from Aug 18 to Sept 19, 2008. MMS is designed to predict medication-taking behavior and outcomes, and also to explain persistence of the patient's long-term continuation of therapy, which is a significant factor in the long-term management of chronic diseases. Also, MMS is designed to classify patients into a high/low continuum for knowledge and motivation. Patients self reported medication adherence were average 4.66 with MMS (range 0-6), only 78% of patients hold high motivation of medication adherence although 95.5% of patients hold high knowledge of medication adherence. This study explores which factors influence to high motivation of medication adherence and it proved that patients' participation in work, education level, participation in private health insurance, number of medication and medication frequency per day, pharmacists' explanation, experience of non adherence due to cost are important factors to explain high motivation of medication adherence of elderly with hypertension and/or diabetes mellitus.

• Knowledge Management Research
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• v.20 no.1
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• pp.215-230
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• 2019

Numerous city problems have arisen in some tourist cities as tourists enter the city beyond the limits of its capacity. As an alternative to this problem, the discussion of smart tourism cities has led many cities to pursue urban planning with the aim of transforming them into smart tourism cities. Therefore, the present study attempted to discuss the city self-reliance that smart tourism cities need to solve a number of problems and grow as a happy city, both residents and tourists, who are the ultimate goal in the long-term goals. More specifically, this study aims to provide basic data for the economic growth of cities that are most fundamental in city's self-reliance by assessing the economic value of smart tourism. To achieve this research purpose, the economic value of smart tourism was estimated using the Contingent Valuation Method (CVM), and the results showed that each person is willing to pay 220,709 won. This is about 10,000 won higher than the 211,163 won announced by the National Travel Survey in 2017, which is estimated to be of higher economic value when recognized as smart tourism. On the basis of these results, this study provided basic policy data in promoting smart tourism cities as well as expanding understanding of smart tourism.

• Journal of Community Nutrition
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• v.3 no.1
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• pp.21-29
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• 2001

This study was conducted to examine factors with attendance in hyperlipidemia nutrition eduction program among 101 hyperlipidemic outpatients (38 males 63 females) at Samsung Medical Center We employed the Health Belief Model (HBM) as the theoretical framework The individual nutrition education and counseling program was scheduled with 4- half hour session sin 2 to 4 weeks intervals. Upon initiation of the program a trained dietitian surveyed HBM constructs and psychosocial factors. The following were included perceived susceptibility to cardiovascular disease(CVD) perceived severity to CVD percieved benefits to diet modification perceived barriers to persistence in maintaining therapy and self efficicacy and social support from family Sociodemographic data health factors stress level nutrition knowledge, and 24-hour dietary recall behavior were also surveyed All these data was analyzed according to the number of nutrition sessions attended The subjects were 55.9$\pm$9.4 year old and 24.6$\pm$kg/㎡ Sociodemographic factors were not associated with the number of nutrition sessions attended HBM constructs and psychosocial factors were significantly associated with the number of nutrition sessions attended. According to Spearman correlation coefficients. From stepwis regression analyses using HBM constructs as independent variables perceive barriers to persistence in maintaining diet therapy (negative) proved to be the strongest predictors for the number of nutrition sessions attended (partial R$^2$= 72.3%) followed by perceived severity to CVD and self efficacy (model R$^2$=76.6% The findings indicate that HBM constructs and psychosocial factors were closely associated with patient attendance It suggests that information and guidance to minimize patients perceived barriers to diet therapy might help to improve patients to scheduled appointments in nutrition education programs.