• Korean Journal of Social Welfare Studies
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• v.44 no.3
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• pp.237-269
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• 2013

The purposes of the study are to describe the feature of the program components, and to identify their changes in the process of designing the social work programs in the community service agencies in Korea. In order to achieve these purposes, the researchers constructed an analytical framework including 24 program components derived from the related literatures. Data was collected by questionnaires answered by the social workers who were in charge of the program development and implementation. Descriptive statistics analysis and factor analysis were applied to exam the features of the program components in 195 social service programs developed by the funds from the Community Chest of Korea and a private funding foundation. As the result of the analysis, the three noticeable features are found; (1) the agencies have very actively involved in the designing work in the process of developing practice guideline, however they have less involved in the designing work in the process of implementing program; (2) program components which are low level in design activities are intervention models, staff education, and practical ethics; (3) 8 categories of components derived from the theoretical perspective are reduced to 6 categories in the process for developing practice guidelines, finally to 4 categories in the process for implementing the programs. The implications of major findings were discussed in academic and practical perspectives in Korea, including future research works in the area.

• Korean Journal of Social Welfare Studies
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• no.39
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• pp.395-423
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• 2008

This study investigated population characteristics that influencing treatment service use of people who are voluntarily using drug dependency treatment services by using logistic and hierarchical regression analysis. The research model of the current study was driven by the framework of the 'the Behavioral Model of Health Services Use(the Andersen model)' that has been broadly applied to study on health behavior. This study used data from a sample group of 80 adults by using purposive sampling. This study found that some predisposing factors, enabling factors and need factors have direct effects on service use. In detail, individuals who graduated from high school use drug dependency treatment utilities more than those who did not. Further, individuals who were given more support from family, peers, or others, use the treatment utilities more frequently and were more willing to use the utilities continuously. Furthermore, the greater the perceived need felt by the dependent, the greater the tendency to enter hospitals or shelters. The important implications of this study for social work practice and social policy can be summarized as follows: first, this study supports the idea that intervention for drug dependents in Korea should be focused on environment resources rather than population characteristics; and government must support drug dependent treatment systems; the present study was the first to investigate Korean drug dependents through taking a more positive view, as well as the first to apply 'the Behavioral Model of Health Services Use', and as such represents an example of how studies could be productively conducted in the future. Despite these implications, there remain some limitations in this study. These include the following: limitation in generalizability of the results; the cross-sectional nature of the study design; survey research through the questionnaire method; using foreign scales; and the difficulty of classifying treatment settings.

• Korean Journal of Social Welfare Studies
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• v.49 no.2
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• pp.257-295
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• 2018

This study delineates how recipients access, understand, and make use of social welfare information in their life-worlds. Through this vivid illustration about recipients' information behaviors, this research aims to suggest that government-centred welfare informatization policy should be readjusted. South Korean government has made enormous efforts to deliver and share social welfare information and knowledge with recipients, by organizing IT eduction programmes, offering free computers, and opening welfare portals. However, despite of such endeavors, not a few recipients find difficulty in gaining, grasping, and using welfare information. In fact, welfare informatization programmes have so far been initiated by the governmental bureaucratic system, and the voice of recipients have hardly been reflected on the informatization policy. Starting from this problem, this study examines how low-income recipients perceive and accept social welfare information in their daily lives and reflects on social welfare information at their point. For this purpose, this research conducted in-depth interviews with 14 recipients and analyzed the data using a framework analysis method. Based on the results, it raises the need for the remodelling of current welfare informatization measures from the perspective of recipients rather than following the custom of the bureaucratic system.

• Journal of the Korean Regional Science Association
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• v.37 no.3
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• pp.3-18
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• 2021

The fourth Industrial Revolution is transforming the industrial structure of the region, and it is necessary to develop new industries and technologies that reflect regional characteristics. The purpose of this study is to measure the knowledge relatedness and technological complexity in Busan, Ulsan, and Gyeongnam, and to identify technologies with potential for regional industrial differentiation strategies. Using patent data from 2015 to 2019, co-occurrence matrices were derived from 652 IPC codes, and the knowledge relatedness density and technology complexity index were calculated. Network analysis was performed using the knowledge relatedness density. As a result of analysis, it was found that mechanical engineering occupied a large proportion, followed by chemistry and electrical engineering. As a result of applying the risk-benefit framework to derive technologies with the potential to differentiate local industries, the technological capabilities of low-risk-high-benefit were different. Among mechanical engineering, technologies such as engine, machine operation, and transportation were included in Busan. In Ulsan, environmental technology in chemical and materials, and heat treatment technology in mechanical engineering were technologies with low-risk and high-benefit capabilities. Gyeongnam showed competence in mechanical engineering, chemistry, and electrical engineering in some areas such as Gimhae, Yangsan, and Changwon. The results of this study are meaningful in that they identified technologies with potential for selecting and deriving strategic industries for regional growth based on latent knowledge in the region.

• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.302-313
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• 2021

As the domestic consulting industry matured, consultants were required to have insight into customer's business and consulting business. Gaining these insights requires deep understanding of the business domains and high degree of competencies. This study empirically analyzed the data collected through the survey in order to apply the ICMCI competence model to domestic consultants. As a result of the study, it was found that business competency and technical competency had a positive effect on project performance, but values & behavior competency were not statistically significant. On the other hand, it was found that only technical competency, values & behavior competency had a positive effect on social-relational competency. Through this study, it was confirmed that a deep understanding and perception of the consulting business is necessary to grow into a professional consultant, but there is a limit to generalizing the research results because the characteristics of the population cannot be sufficiently reflected with a small sample.

• Journal of Korean Library and Information Science Society
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• v.52 no.3
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• pp.217-238
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• 2021

The purpose of this study is to identify the problems of describing bibliographic elements such as edition, impression, and year of publication in the current Cataloging Rules, and to present improvements to the KCR and the KORMARC Format. According to changes in the information technology environment in the library, the level and scope of the cataloging that can be provided to users should be adjusted. As data is diversified and descriptive method of metadata develops, the development of bibliographic elements and the change of the descriptive method are changing the framework of the existing standardization. As a research method, we will examine the concept of edition and impression, examine the transition process of description of edition and impression targeting KCR. And we would like to present the methods of bibliographic description to be added or modified through cataloging examples, and examine the format reflected in KORMARC. This study is intended to be limited to the descriptive form of books. The bibliographic elements of the entry in the library must be fully consistent with the bibliographic elements of the material to be catalogued. This study suggests an improvement to the cataloging rules. First, the edition of the cataloging rules shall describe the edition statement and the impression statement. In addition, the description of the year of publication describes the latest year, not the first year of publication of the edition of the material to be catalogued. The descriptive scope of the year of publication is extended to the month of publication. Second, in the KORMARC format, the description of impression in edition statement is given to the identifier in the 250 field, and is numerically described as the second impression. When presenting the month and year of publication, one identifier in the field 260 describes the year of publication and the other identifier describes the month of publication. The description for the month and year of publication is stated the latest month and year on the title page and the colophon of the publication.

• Journal of Plant Biotechnology
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• v.47 no.4
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• pp.261-272
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• 2020

Approvals for cultivation and import of genetically modified (GM) crops have dramatically increased around the world. Comparative compositional studies are an important aspect of safety assessments of products from GM crops and are based on substantial equivalence. Compositional analyses focus on determining similarities and differences between the compositions of the GM crops and their conventional counterparts, and thereby assessing the compositional equivalence of GM crops and their conventional comparators. The analytes, such as major constituents, key nutrients, and antinutrients, are generally determined on a crop-specific basis according to the OECD consensus document. The use of standard methods throughout the processes, such as selection of comparators, field trials, analytical methods, and statistical data analysis, is crucial. In this study, we showed the general framework of compositional studies. Literature for compositional studies of GM crops conducted abroad and in Korea was reviewed to obtain information about analytes, conventional counterparts, cultivation year, location, and statistical methods. The studies conducted abroad assessed for commercial release of GM crops such as soybean, maize, and cotton, while domestic studies were mainly performed for research in rice. In addition, we suggested a guidance for conventional comparators and field trials applicable to the domestic situation.

• Journal of the Korean Chemical Society
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• v.65 no.3
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• pp.209-218
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• 2021

This study investigated the condition of chemistry teacher's student competency assessment based on the inquiry report. To this end, an inquiry report was collected for chemistry teachers who took the training at two universities that conducted the 2020 first-class chemistry teacher training. The science subject competencies presented in NAEA analysis framework was used to analyze what kind of competencies teachers assess students through inquiry reports. A total of 63 chemistry teachers submitted inquiry reports, which were analyzed by competency, sub-element of each competency, and detail element to analyze the actual situation. As a result of the study, most chemistry teachers reflected their 'scientific inquiry and problem-solving ability' in their evaluation through inquiry reports. 'Ability to understand and apply scientific principles', which is mainly evaluated through paper-based evaluation, was partially used as confirmation of prerequisite learning at the beginning of the inquiry and the weight of evaluating 'scientific communication skill' was not large. In 'scientific inquiry and problem-solving ability' through inquiry report, 'design and conduct explorations', 'data analysis and interpretation' and 'drawing conclusion and suggesting solution' were mainly assessed. However, 'discover and recognize problems' and 'development and use of model' were hardly assessed.

• The Korean Journal of Applied Statistics
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• v.34 no.6
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• pp.905-922
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• 2021

Cluster analysis is one of unsupervised learning techniques used for discovering clusters when there is no prior knowledge of group membership. K-means, one of the commonly used cluster analysis techniques, may fail when the number of variables becomes large. In such high-dimensional cases, it is common to perform tandem analysis, K-means cluster analysis after reducing the number of variables using dimension reduction methods. However, there is no guarantee that the reduced dimension reveals the cluster structure properly. Principal component analysis may mask the structure of clusters, especially when there are large variances for variables that are not related to cluster structure. To overcome this, techniques that perform dimension reduction and cluster analysis simultaneously have been suggested. This study proposes probabilistic reduced K-means, the transition of reduced K-means (De Soete and Caroll, 1994) into a probabilistic framework. Simulation shows that the proposed method performs better than tandem clustering or clustering without any dimension reduction. When the number of the variables is larger than the number of samples in each cluster, probabilistic reduced K-means show better formation of clusters than non-probabilistic reduced K-means. In the application to a real data set, it revealed similar or better cluster structure compared to other methods.

• International Area Studies Review
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• v.15 no.2
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• pp.331-350
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• 2011

This paper analyzes balance of goods for a panel data of 56 industry classification in the MTI from 1980 to 2009. This study also develops the equilibrium adjustment process, which is a trade-off between the adjustment costs towards equilibrium costs for balance of goods and the cost of being in disequilibrium. In this framework, the GMM estimation procedure is used to estimate this dynamic panel model consistently. It is found that equilibrium balances of goods in Korean adjust to the speed is very slow to 0.0389. because of this is necessary to adjust the equilibrium goods balance as the cost of goods balance deficit is larger than by the cost. In addition, the real income elasticity for goods balance of resin in Japan and Korea, the real income elasticity 4.38168 and -0.835225, respectively, the marks were consistent with economic theory. The exchange rate elasticity of goods balance in japan to 0.478435 were found in the inelastic.