• Journal of the Korean Society for information Management
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• v.37 no.4
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• pp.61-80
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• 2020

This study attempted to propose various application and function improvement plans by analyzing robots operated in the libraries. Thus, the types and functions of robots operated by 16 domestic and foreign libraries were examined. Most of them were used for Librarian Assistance (Book Inventory, Book Delivery, Etc.) and User Service (Facility Guide, Search Aids, Etc.). Besides, the introduction of robots in the National Library of Korea (NLK) and their functional limitations were analyzed. As a result, this study presented the need to develop additional functions for the robot, develop quarantine and security robots, the need for a national-level policy for robot diffusion, and build a robot ecosystem.

• Human Ecology Research
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• v.60 no.2
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• pp.177-186
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• 2022

The purpose of this study was to explore the relationships among mothers' reflective function, preschoolers' empathy, executive function, caring behaviors. Subjects for this study were 498 preschoolers and their mothers. Mothers' reflective function was assessed by the Parental Reflective Functioning Questionnaire(PRFQ). Preschoolers' empathy was assessed by the Questionnaire of Cognitive and Affective Empathy(QCAE). Preschoolers' executive function was assessed by the Behavioral Rating Inventory of Executive Functions-Preschool Version(BRIEF-P), and caring behaviors were assessed by the caring behaviors scale(Kim, 2015). Data were analyzed using descriptive statistics, confirmatory factor analysis(CFA), and structural equation model(SEM) with the SPSS 25.0 and AMOS 23.0 program. The major results of this study were as follows. First, mothers' reflective function showed direct effects on preschoolers' empathy, executive function, and caring behaviors. Second, the preschoolers' empathy and executive function showed direct effects on preschoolers' caring behaviors. Third, preschoolers' empathy mediated the effects of mothers' reflective function on preschoolers' caring behaviors. The findings of this study will contribute to designing intervention programs to improve preschoolers' empathy, executive function, and caring behaviors.

• Information Systems Review
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• v.24 no.4
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• pp.1-22
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• 2022

The transition to a non-face-to-face consumer society has rapidly occurred since Covid-19. The need for a subdivided urban logistics policy centered on courier delivery, a life-friendly last-mile logistics service, has been raised. This study proposes a SNS-based method that can analyze the demand relationship by region and product, respectively. We extend the market basket network (MBN) and co-purchased product network (CPN), find product category patterns, and confirm regional differences by using delivery order data. Our results imply that SNA analysis can be effectively applied to inventory distribution or product (SKU) selection strategies in urban logistics.

• Journal of Wetlands Research
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• v.23 no.3
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• pp.224-233
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• 2021

This study analyzed global Knowledge Sharing Platforms and collected stakeholder's suggestions to develop the "Korea-ASEAN Wetland Knowledge Sharing Platform (KSP)." As a result of the analysis, ① financial support and ② knowledge outcomes are essential to maintain the KSP and conduct the platform sustainably. Stakeholder suggest three significant projects (① comparative analysis of the inventory of wetlands in the Korea-ASEAN region, ② knowledge gap analysis in wetland research trends, and ③ establishing a web infrastructure for wetlands information sharing). The "Korea-ASEAN Wetland KSP" defined to be consistent with the international conventions (e.g., Ramsar Convention, Convention on Biological Diversity) goals by comprehensively considering the literature analysis and stakeholder suggestions. Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) selected as the fundamental model of the KSP. As with IPBES, knowledge management and assessment, capacity building, policy support, communication and participation adopted as the platform's core objectives. The KSP will be able to share knowledge related to the same type of wetland ecosystem within the Korea-ASEAN region and provide necessary information for establishing science-based policies.

• Environmental and Resource Economics Review
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• v.33 no.1
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• pp.1-32
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• 2024

The emissions trading system stands as a pivotal climate policy in Korea, incentivizing abatement equivalent to 87% of total emissions (as of 2021). As the system likely has a far-reaching impact, it is crucial to understand how the real economic activity, energy sector, as well as environment would be influenced by its implementation. Employing a macroeconometric model, this paper is the first study analyzing the effects of the Korean emissions trading policy. It interconnects the Korean Standard Industrial Classification (Economy), Energy Balance (Energy), and National Inventory Report (Environment), enhancing its real-world explanatory power. We find that a 50% increase in emission permit price over four years results in a decrease in greenhouse gas emissions (-0.043%) and downward shifts in key macroeconomic variables, including real GDP (-0.058%), private consumption (-0.003%), and investment (-0.301%). The price increase in emission permit is deemed crucial for achieving greenhouse gas reduction targets. To mitigate transition risk associated with price shocks, revenue recycling using auction could ensure the sustainability of the economy. This study confirms the comparative advantage of expanded current transfers expenditure over corporate tax reduction, particularly from an economic growth perspective.

• Quality Improvement in Health Care
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• v.1 no.2
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• pp.60-72
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• 1994

Background: The number of outpatients visiting large university teaching hospitals has increased drastically with the introduction of a nationwide health care insurance in 1989 and the improvement of the socio-economic status of the population. This resulted in long waiting times for services, particularly prescribed drugs, which have been patients' chief complaints. Hospitals have tried to solve the problem with limited success because their approach lacked comprehensive research. The objective of this study is to investigate associations between waiting times and variables defining a total work system. Methods: Data for the outpatient pharmacy department in a tertiary care university teaching hospital located in Seoul was analyzed to achieve the study objective. Associations of pharmacy system variables -- work load, work force, pharmacist work schedule, machine problems, and inventory control -- with mean and 99th percentile of waiting times were examined by the hierarchical stepwise regression method. Day was a unit of the analyses. Results: The regression models explained 65.8% of variance in the mean waiting time and 61.34% in the 99th percentile of waiting times. The break-down of the printer for drug envelops, Automatic Tablet Counters (ATCs), and main computer system lasted longer than 30 minutes increased the mean for 7.7 minutes, 4.5 minutes, and 7.0 minutes, respectively, and the 99th percentile for 14.8 minutes, 9.0 minutes, and 15.7 minutes, respectively. Concerning the work force, study results showed that there were significant differences in the productivity of pharmacists with work experience more than three years, one to three years, and less than one year, and showed that peak time aid work by pharmacists at job assignments other than the outpatient pharmacy, part-time pharmacists, and the installation of ATCs were effective in reducing waiting times, Finally, study findings indicated that the operational policy of work assignment and rotation schedule, supply and inventory of drugs at work tables, and readiness for undisrupted work during the work hours could have a significant effect on waiting times. Conclusion: The study results indicated that efforts to reduce waiting times for prescribed drugs should be geared toward every components of the pharmacy work system ranging from work schedule of pharmacists and supply of dugs at work tables. These findings should provide hospital managers with right directions in battling the problem.

• Journal of Digital Convergence
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• v.15 no.10
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• pp.349-356
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• 2017

This study is executed to investigate convergent factors to job burnout(MBI-GS: Maslach Bunout Inventory-General Survey) among hospital administrative staff. The survey was administered to 201 staff from 9 general hospitals located in J area from Jul. 3rd, 2017 to Jul. 29th, 2017. The structured self-administered questionaries were used. The hierarchical multiple regression analysis shows the following results. The MBI-GS of respondents turned out to be significantly higher in following groups: a group in which Organizational Commitment Questionnaire(OCQ) is lower, a group in which Type A Behavior Pattern(TABP) is higher, a group in which depression(CES-D: Center for Epidemiologic Studies Depression scale) are higher. The results show explanatory power of 52.1%. The results of the study indicate that the efforts, to increase OCQ, and to decrease TABP and CES-D, are required to improve the MBI-GS among hospital administrative staff. The results are expected to be useful for the program and human resource management to related to the MBI-GS among HAS. In the following study, the analysis of structural equation modeling about additional factors of the MBI-GS among hospital administrative staff will be needed.

• Journal of Digital Convergence
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• v.12 no.2
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• pp.119-128
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• 2014

This Study investigated the differences of risk assessment tool and personality assessment inventory (PAI) by recidivism types of juvenile delinquents, the psychological factors that have a influence of juvenile behaviors. 268 incipient Juvenile criminals who had committed crime in the areas of Seoul, were categorized in the three degree of recidivism types. The result showed the significant differences among risk assessment tool, such as family functioning risk factor, school risk factor, away-from-home risk factor, delinquent risk factor, and personal risk factor. PAI scores among the recidivism type showed the significant differences on SOM, DEP, PAR, SCZ, BOR, ANT, ALC, DRG, AGG, SUI, STR, NON, DOM, and WRM. The predictor variables explained a risk assessment tool were STR, ALC, DEP, DOM and WRM in PAI scales. And the interventions and preventions about juvenile delinquents discussed in psychological aspects.

• Journal of Korean Society of Forest Science
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• v.106 no.2
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• pp.267-273
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• 2017

This study was conducted to construct a empirical yield table for Pinus densiflora in real forest. Since existing normal yield tables have been derived by studying and analyzing communities in ideal environment for tree growth, those tables provide more over-estimated values than ones from real forest. Because of this, there are some difficulties to apply the tables to empirical forest except for normal forest. In this study, therefore, we estimated stand growth for real forest on P. densiflora as the representative species of conifers. We used 1,957 sample plot data of P. densiflora in central Korea from National Forest Inventory (NFI) system, and analyzed through estimation, recovery and prediction in order by using Weibull function as a diameter distribution model. Weilbull and Schumacher models were applied for estimating mean DBH and mean basel area and it was found that the site index for P. densiflora in central Korea ranges from 8 to 14 at reference age 30. According to site 12 in the stand yield table, the Mean Annual Increment (MAI) of P. densiflora was $4.42m^3/ha$ at 30 years of age. Compared to existing volume table constructed before, it is showed that MAI of this study were lower. According to the paired t-test that is conducted with the gap of volume values between normal forest and real forest by site index and age, the P-value was less than 0.001 which is recognized to have a statistically significant difference. Based on the results in this study, it is considered to be helpful for practical management and management policy on P. densiflora in central Korea.

• Journal of Environmental Policy
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• v.8 no.4
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• pp.95-124
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• 2009

This study aims to introduce greenhouse gas emission trading in Korea as a highly cost-effective mechanism for controlling emissions. The Basic Act on Low-Carbon Green Growth will cover methods of emissions allocation, national inventory, and trading systems (i.e. emissions trading platforms, national registry,and clearing and settlement platforms). The Korean emission scheme will be based on the Korean Climate Change Act proposed by the National Assembly and Government with a cap-and-trade scheme. The national allowances will be allocated by the hybrid system. To establish the national inventory, TRADEMARKS (Telemetering System) and emissions factors are effective for greenhouse gas emissions measurement. It will likewise be effective for the national registry to be implemented via a Korean Integrated Registry, the emissions trading platform via the KRX (Korean Exchange), and the clearing and settlement platform via the KSD (Korean Securities Depository). In other words, the KRX will manage product development and marketing for Korean Carbon Financial Instruments (including commodities, futures, and options contracts) listed and admitted to trading on the KRX. All emissions trades will be standardized and cleared by the KSD.