• Journal of the Korean Society for Library and Information Science
• /
• v.51 no.1
• /
• pp.245-269
• /
• 2017

To assess and understand the level of job burnout among the medical librarians and identify the factors affecting it, email survey, consisting of questions regarding personal background, organization characteristics, degree of burnout, and coping activities, was administered for two weeks in December 2016, to the librarians in 138 institutions affiliated with the Korean Medical Library Association. MBI-GS is used as a burnout measuring instrument. Data collected from 158 librarians (response rate 65.6%), were analyzed by descriptive statistics, t-test, ANOVA, and correlation analysis methods. According to MB-GS norm, respondents experience moderate level of exhaustion and professional efficacy, however the level of cynicism is extremely high. There are significant statistical differences in burnout, depending on age, medical librarian certificate, work experience, type of library, job coverage, and coping activities. There are also statistical significant correlations between workload, role conflict, decision making process and performance evaluation, organization communication, IT environment, continuing education and burnout. Based on the results, recommendations to alleviate burnout are suggested in individual, organizational, and professional association context.

• Journal of the Korean Society of Hazard Mitigation
• /
• v.9 no.5
• /
• pp.39-46
• /
• 2009

The purpose of this study is to compare and analyze the organizations for responses in disaster fields to cope with large-scaled disasters including Emergency Management Agency, Emergency Response Unit, Emergency Support Center, and Field Command Center (Field Command Office). According to the results of the analysis, the problems of the organizations for responses in local disaster fields are; 1) the scopes of roles among the organizations for responses in disaster fields are ambiguous, 2) the structures of the organizations for responses in disasters are different each other, 3) the integrated management functions among the organizations for responses in disasters are overlapped, and 4) the one who assumes the integrated command is not defined. In order to improve the problems, first, the range of working of each organization for responses in local disaster fields should be definitely established and an agreement in services among the organizations should be settled in advance. Second, similar designs in the structure among the organizations for responses in disasters are necessary for amicable communication. Third, the works for integration and management for each organization for responses should be apportioned. Fourth, the organization in charge and the one who assumes the integrated command for each type of disasters should be appointed in advance for rapid decision-making.

• Journal of Digital Convergence
• /
• v.17 no.11
• /
• pp.127-136
• /
• 2019

In the social media, information that users share with service providers can be divided into personal identification information such as gender and age and privacy-related information such as photos and comments. However, previous works on IS and service management have shed relatively little light on the difference of information-sharing decisions depending on the type of information. This study examines information-sharing decisions by separating the two types of information. A structural equation modeling method is used to test the research model based on a sample of 350 Facebook in South Korea. Analysis results show that self-expression, trust, and perceived security had a significant positive effect on both user's intentions to give personal identification information and their intentions to give privacy-related information. However, privacy concerns negatively affected their intentions to give personal identification and intention to give privacy-related information. The analysis results confirm that there was no difference between decision-making processes about sharing personal identification information and ones about sharing privacy-related information.

• STI Policy Review
• /
• v.8 no.2
• /
• pp.23-48
• /
• 2017

This article advocates for a Mode 3 science policy. Compared to the university research-based Mode 1 knowledge production system and the knowledge application-centric Mode 2 innovation system, Mode 3 can be defined as a system that integrates both Mode 1 and Mode 2-type knowledge production models. In this article, based on the major characteristics of the Mode 3 scientific knowledge production system, I agree with the advocates of Mode 3 that constructing a knowledge society requires an inclusive form of knowledge production and innovation system through the democratization of knowledge production as well as the promotion of social values. Moreover, the mechanisms for creating accountable innovation in the Mode 3 system should be given more attention from the science research and policy communities to make public policy for scientific and technological innovation more reflective of social changes. Similar to the ways that the Mode 1 and Mode 2 scientific knowledge production approaches have influenced the development of science policy models, the Mode 3 scientific knowledge production approach, or Mode 3 science, also has the potential to shape a new science policy model. I will refer to this as Mode 3 science policy. In an effort to conceptualize the democracy- and society-centric Mode 3 science policy model, I will articulate science policy strategies in four science policy domains in South Korea from the context of the Mode 3 science approach. These include (1) evaluation of publicly-funded research activities, (2) valorization of scientific knowledge (that is, enhancement of the value of scientific knowledge through governmental action), (3) development of a science policy decision-making support system, and (4) anticipatory foresight of science, technology and society. When adopting and implementing a Mode 3 science framework, one progressive change is to increase socially desirable innovation such as responsible innovation.

• Journal of Soil and Groundwater Environment
• /
• v.25 no.2_spc
• /
• pp.28-54
• /
• 2020

Even though a systematic sampling approach is very crucial in both the general and detailed investigation phases to produce the best conceptual site model for contaminated sites, the concept is not yet established in South Korea. The U.S. Environmental Protection Agency (EPA) issued the 'Strategic Sampling Approaches Technical guide' in 2018 to help environmental professionals choose which sampling approaches may be needed and most effective for given site conditions. The EPA guide broadly defines strategic sampling as the application of focused data collection across targeted areas of the conceptual site model (CSM) to provide the appropriate amount and type of information needed for decision-making. These strategic sampling approaches can prevent the essential data from missing, minimize the uncertainty of projects and secure the data which are necessary for the important site-decisions. Furthermore, these provide collaborative data sets through the life cycle phases of projects, which can generate more positive proofs on the site-decisions. The strategic sampling approaches can be divided by site conditions. This technical guide categorized it into eight conditions; High-resolution site characterization in unconsolidated environments, High-resolution site characterization in fractured sedimentary rock environments, Incremental sampling, Contaminant source definition, Passive groundwater sampling, Passive sampling for surface water and sediment, Groundwater to surface water interaction, and Vapor intrusion. This commentary paper introduces specific sampling methods based on site conditions when the strategic sampling approaches are applied.

• Journal of Climate Change Research
• /
• v.3 no.4
• /
• pp.271-280
• /
• 2012

The study aims to analyze economic viability of Integrated Gasification Combined Cycle, an innovative technology to utilize clean coal effectively and efficiently in the era of energy crisis. The study is conducted to evaluate business value of 300 MW IGCC demonstration plant technology development based on binomial option, in consideration of uncertainty of fuel price. Binomial option is one of the real option valuation methods, which is ideally suited to irreversible decision making under uncertainty. With this analysis, it shows that investment value is higher compared with economic evaluation based on discounted cash flow, since this method can measure quantity. As a result, this study is proved to be economically feasible, which have a positive impact on the next generation of IGCC and the connection with Carbon Capture and Storage.

• Journal of Climate Change Research
• /
• v.7 no.3
• /
• pp.269-282
• /
• 2016

Watershed area can be submerged due to constructions and management of dams, and these change can impact not only on ecosystem and environment of river basin area but also on local climate. This study is conducted to construct and classify climate zones of Andong Dam watershed where the area is submerged due to the construction of the dam. By applying Principal Components Analysis (PCA) and Getis-Ord $Gi^*$ statistics, three climate zones were classified for the result. Each zone was then analyzed and validated with climatic and geological features including topography, land cover, and forest type map. As a result of the analysis, there was a difference in temperature, elevation, precipitation and tree species distribution among the zones. Also, an analysis of land cover map showed that there were more agricultural land near Andong Reservoir. This study on the climatic classification is considered to be useful as the basis for decision-making or policy enforcement regarding ecosystem, environmental management or climate change response.

• Journal of Korea Planning Association
• /
• v.54 no.4
• /
• pp.109-121
• /
• 2019

The purpose of this study is to understand the perceptions of stakeholders in environmental conflicts. The private rental housing project in Busan Sasang-gu Jurye 3 District, which took place in 2017 is one of many cases of environmental conflicts between developers and local residents. The case is considered as a typical failure of collaborative governance that has consequently caused negative impacts to both local residents and government. To understand why local residents could not come to consensus even though the majority of them were against the development project, we analyzed residents' perceptions and subjective opinions towards environmental conflicts. This study adopted 'Q methodology' to investigate human subjectivity. The results showed three distinguished types of subjectivity structures. Each type was named as 'collaborative governance advocates', 'public administration distrusters', and 'current local government supporters' based on their characteristics. Participants in all three types showed opposition to environmental damages that can be caused by the private rental housing development, but they revealed different perspectives on the importance of public participation and institutional responsibility in the process of decision-making. This study makes better understand what makes it difficult to build collaborative governance as a means of overcoming environmental conflicts.

• Clinical and Experimental Reproductive Medicine
• /
• v.48 no.2
• /
• pp.163-173
• /
• 2021

Objective: This study aimed to characterize a validated model for predicting oocyte retrieval in controlled ovarian stimulation (COS) and to construct model-based nomograms for assistance in clinical decision-making regarding the gonadotropin protocol and dose. Methods: This observational, retrospective, cohort study included 636 women with primary unexplained infertility and a normal menstrual cycle who were attempting assisted reproductive therapy for the first time. The enrolled women were split into an index group (n=497) for model building and a validation group (n=139). The primary outcome was absolute oocyte count. The dose-response relationship was tested using modified Poisson, negative binomial, hybrid Poisson-E_max, and linear models. The validation group was similarly analyzed, and its results were compared to that of the index group. Results: The Poisson model with the log-link function demonstrated superior predictive performance and precision (Akaike information criterion, 2,704; λ=8.27; relative standard error (λ)=2.02%). The covariate analysis included women's age (p<0.001), antral follicle count (p<0.001), basal follicle-stimulating hormone level (p<0.001), gonadotropin dose (p=0.042), and protocol type (p=0.002 and p<0.001 for short and antagonist protocols, respectively). The estimates from 500 bootstrap samples were close to those of the original model. The validation group showed model assessment metrics comparable to the index model. Based on the fitted model, a static nomogram was built to improve visualization. In addition, a dynamic electronic tool was created for convenience of use. Conclusion: Based on our validated model, nomograms were constructed to help clinicians individualize the stimulation protocol and gonadotropin doses in COS cycles.

• Journal of the Korean Society of Environmental Restoration Technology
• /
• v.25 no.5
• /
• pp.43-57
• /
• 2022

This study aims to classify forest fire-affected areas, identify forest types by the intensity of forest fire damage using multi-time Landsat-satellite images before and after forest fires and to analyze the effects of artificial restoration sites and natural restoration sites. The difference in the values of the Normalized Burned Ratio(NBR) before and after forest fire damage not only maximized the identification of forest fire affected and unaffected areas, but also quantified the intensity of forest fire damage. The index was also used to confirm that the higher the intensity of forest fire damage in all forest fire-affected areas, the higher the proportion of coniferous forests, relatively. Monitoring was conducted after forest fires through Normalized Difference Vegetation Index(NDVI), an index suitable for the analysis of effects by restoration type and the NDVI values for artificial restoration sites were found to no longer be higher after recovering the average NDVI prior to the forest fire. On the other hand, the natural restoration site witnessed that the average NDVI value gradually became higher than before the forest fires. The study result confirms the natural resilience of forests and these results can serve as a basis for decision-making for future restoration plans for the forest fire affected areas. Further analysis with various conditions is required to improve accuracy and utilization for the policies, in particular, spatial analysis through forest maps as well as review through site checks before and immediately after forest fires. More precise analysis on the effects of restoration will be available based on a long term monitoring.