• Korea Trade Review
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• v.43 no.6
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• pp.161-192
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• 2018

The hotel industry in China has shown great growth both in terms of quantity and quality, but management of the most important element of the success of the hotel company is still not enough. The purpose of this study is to investigate the effects of emotional intelligence including self emotional appraisal, others' emotional appraisal, regulation of emotion, use of emotion on Chinese hotel employees' resilience to improve job satisfaction, organizational commitment, and to reduce turnover intention. Also, the relationship between job satisfaction, organizational commitment, and turnover intention was investigated. In order to analyze this, we surveyed 322 employees of Shanghai 4, 5star hotel in China. Empirical analysis showed that self emotional appraisal, regulation of emotion, and use of emotion of Chinese hotel employees had a positive effect on resilience, but others' emotional appraisal did not affect resilience. In addition, the resilience showed a positive effect on job satisfaction and organizational commitment, but not on turnover intention. Also, job satisfaction has a significant negative effect on organizational commitment and turnover intention, and organizational commitment has a significant negative impact on turnover intention. This study aims to provide a better understanding of emotional intelligence and resilience, and to provide effective management of human resources management.

• Korea Science and Art Forum
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• v.19
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• pp.417-424
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• 2015

The healthcare service industry has become one of the business industries in South Korea where service design is most actively being researched on and applied. In accordance with the recent upsurge of the interest in health, healthcare service is expanding its area including disease prevention, patient management, and rehabilitation treatment as well as cure and nursing care. The health manpower is the supplier, and their professional knowledge and ability and the patients' trust in medical technology are the most important factors for their customers. In addition, service design has come into the spotlight given that the medical institute system, health manpower attitude, and information delivery system and touch point are considered important factors contributing to customer satisfaction. It is very hard to satisfy customers only through professionalism, the environment, and product improvement because healthcare service deals with much more sensitive and emotional customers compared to other service industries. This means that a change in the service mind-set and the attitude of the health manpower as emotional labourers have practical effects. Therefore, the fundamental solution is to establish a system that provides related education with manpower and that settles various problems by itself. This paper introduces several solutions, such as education for health manpower and a service design system applied to a national-university-affiliated hospital in South Korea, and takes a close look at its effects.

• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.241-265
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• 2023

A corporate insolvency prediction model serves as a vital tool for objectively monitoring the financial condition of companies. It enables timely warnings, facilitates responsive actions, and supports the formulation of effective management strategies to mitigate bankruptcy risks and enhance performance. Investors and financial institutions utilize default prediction models to minimize financial losses. As the interest in utilizing artificial intelligence (AI) technology for corporate insolvency prediction grows, extensive research has been conducted in this domain. However, there is an increasing demand for explainable AI models in corporate insolvency prediction, emphasizing interpretability and reliability. The SHAP (SHapley Additive exPlanations) technique has gained significant popularity and has demonstrated strong performance in various applications. Nonetheless, it has limitations such as computational cost, processing time, and scalability concerns based on the number of variables. This study introduces a novel approach to variable selection that reduces the number of variables by averaging SHAP values from bootstrapped data subsets instead of using the entire dataset. This technique aims to improve computational efficiency while maintaining excellent predictive performance. To obtain classification results, we aim to train random forest, XGBoost, and C5.0 models using carefully selected variables with high interpretability. The classification accuracy of the ensemble model, generated through soft voting as the goal of high-performance model design, is compared with the individual models. The study leverages data from 1,698 Korean light industrial companies and employs bootstrapping to create distinct data groups. Logistic Regression is employed to calculate SHAP values for each data group, and their averages are computed to derive the final SHAP values. The proposed model enhances interpretability and aims to achieve superior predictive performance.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.252-252
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• 2020

대하천 주변 광역상수도 공급지역은 가뭄 발생시에도 안정적으로 물이용이 가능하나, 중소하천을 수원으로 하는 하천의 상류지역은 가뭄시 물공급 안정성이 취약하다. 따라서 중소하천을 대상으로 가뭄시 물 공급시설의 효율적 운영, 물부족 위험도 평가, 가용 수자원의 최적이용 등 종합적인 대책 마련을 위해서는 신뢰성 높은 수문량(하천유출량 및 수자원가용량) 예측이 필요하다. 기존의 가뭄시 하천유출량 예측정확도 평가는 통계적 회귀분석을 통한 가뭄지수 기반의 가뭄상황의 예측에 치중하여 불확실성이 크며 국내 유역의 복잡한 물이용체계를 고려하지 않아 시·공간적인 규모에 따라 상이한 결과를 나타내며 실측자료 기반의 하천유출량과 비교하면 정확도가 대부분 60% 이하로 나타난다(이상은 등, 2015). 본 연구에서는 상세 물이용체계를 고려한 정도높은 수자원가용량의 평가를 위하여 한강권역 내의 한탄강댐 상류 유역을 테스트베드로 선정하였다. 한탄강댐 상류유역은 다수의 복잡한 농업용 수리시설 운영에 따른 수자원가용량 예측정확도가 매우 낮은 지역으로 본 연구를 통해 정도 높은 수자원가용량 예측정확도를 확보하기에 적정한 유역이라 판단하였다. 수자원가용량을 평가하기 위한 모형은 한국건설기술연구원에서 개발된 CAT3.1(Catchment hydrologic cycle Assessment Tool 3.1)을 이용하였다. CAT 3.1은 중소하천 유역내의 인위적인 물이용체계(광역급수, 재이용, 지하수 취수, 하천수 취·배수 등)를 반영한 수문량(하천유출량 및 수자원가용량) 평가 및 예측이 가능한 모형으로 기존 개념적 매개변수 기반의 집중형 수문모형과 물리적 매개변수 기반의 분포형 수문모형의 장점을 최대한 집약하여 개발되었다. 한탄강댐 상류유역의 물리적 매개변수는 최대한 기 구축된 GIS 자료를 활용하여 추출하였다. 토지이용현황은 산림과 농업지역이 대부분을 차지하여 농업용수 공급이 대부분인 물이용체계를 가지고 있다. 따라서 한국농어촌공사에서 관리하는 11개 농업용 저수지에 대한 취수현황 및 제원, 국가지하수센터의 유역내 지하수사용량, 하폐수처리량을 기본 입력 자료로 사용하였다. 특히 농업용 저수지의 경우에는 저수지출구점을 기준으로 저수지 상류유역 및 한국농어촌공사에서 기 구축된 관개면적 공간자료를 기본으로 수혜구역을 세분화하여 모형을 적용하였다.

• The Journal of Bigdata
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• v.6 no.2
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• pp.151-159
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• 2021

Construction of a blockchain network needs a cumbersome and time consuming activity. To overcome these limitations, global IT companies such as Microsoft are providing cloud-based blockchain services. In this paper, we propose a blockchain-based construction and management tool that enables blockchain developers, blockchain operators, and enterprises to deploy blockchain more comfortably in their infrastructure. This tool is implemented using Hyperledger Fabric, one of the famous private blockchain platforms, and Ansible, an open-source IT automation engine that supports network-wide deployment. Instead of complex and repetitive text commands, the tool provides a user-friendly web dashboard interface that allows users to seamlessly set up, deploy and interact with a blockchain network. With this proposed solution, blockchain developers, operators, and blockchain researchers can more easily build blockchain infrastructure, saving time and cost. To verify the usefulness and convenience of the proposed tool, a blockchain network that conducts electronic voting was built and tested. The construction of a blockchain network, which consists of writing more than 10 setting files and executing commands over hundreds of lines, can be replaced with simple input and click operations in the graphical user interface, saving user convenience and time. The proposed blockchain tool will be used to build trust data infrastructure in various fields such as food safety supply chain construction in the future.

• Analytical Science and Technology
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• v.19 no.5
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• pp.433-440
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• 2006

A HPLC/UV method was developed and validated for the rapid and simultaneous determination of urinary metabolites of organic solvents, mandelic acid, hippuric acid, phenylglyoxylic acid, ortho-, meta- and para-methylhippuric acid, using a monolithic column. The mobile phase was composed of tetrabutylammonium bromide as ion-pairing reagent with a flow rate of 2.4 mL/min. The total run time was less than 2.5 min for all six analytes. Good linearities were obtained for all the metabolites with correlation coefficients above 0.9993. Intra-day precision, accuracy and inter-day precision was 0.01~7.32%, 83.9~116.3% and 0.01~7.16%, respectively. The method was validated and confirmed by quantification of the quality assurance samples of Industrial Safety and Health Research Institute, Korea Occupational Safety and Health Agency.

• Analytical Science and Technology
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• v.21 no.6
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• pp.480-486
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• 2008

This paper reports on the monitoring results of some heavy metals (Pb, Cd, As and Hg) in oriental mineral medicines. Levels of Pb, Cd and As were determined using the acid digestion method and ICP-MS. Hg levels were determined using the gold amalgamation method and Automatic mercury analyzer (AMA). The results indicated that, in the case of Pb, 25.81% (24 cases) of the samples were over MRL (5 mg/kg). Pb levels in Calamina, Pumex, and Cinnabaris exceeded MRL (5 mg/kg). In the case of Cd, 9.68% (17cases) of the samples were over MRL (0.3 mg/kg). Cd levels in Calamina, Pumex and Cinnabaris were exceeded MRL (0.3 mg/kg). In case of As, 24.73% (23 cases) of samples exceeded MRL (3 mg/kg). As levels in Calamina, Lithargyrum, Vermilionum, Cinnabaris and Chalcocitum exceeded MRL (3 mg/kg). In the case of Hg, it was shown that the 76.34% (78 cases) of the samples exceeded MRL (0.2 mg/kg). Hg levels in almost all the samples exceeded MRL (0.2 mg/kg). These results led us to recommend that the domestic commercial law to be legislated to ensure the quality estimation and safety of oriental mineral medicines.

• Korean Journal of Poultry Science
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• v.50 no.2
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• pp.81-90
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• 2023

Animal welfare was introduced relatively late to Korea in comparison with Western countries. Nonetheless, the Korean government has continuously improved animal welfare-friendly regulations as policy instruments. Given the current situation, it is predicted that spontaneous settlement of the animal welfare policies will be difficult and may cause conflict in the farm animal industry. To identify and categorize conflicts caused by animal-welfare-related policies in the last five years, we investigated the awareness of animal welfare among Korean hen farms and the level of compliance with the animal welfare regulations. We collected a sample of 53 egg-laying chicken farm operators (e.g., owners or head managers) was collected through the on-site survey (90% confidence level (Z-score: 1.65) and 10.18% tolerance, based on a number of 797 egg-laying farms in 2020). Ethical conflicts on the farms were categorized into three different types according to the hen farm's ethical awareness level: passive, moderate, and active. Additionally, we investigated the correlation between compliance with regulations and ethical consideration. This study confirmed that compliance with animal welfare-related regulations significantly correlated to the level of ethical consideration of farm operators. Interestingly, we also observed that farm operators did not comply with the regulation despite their high level of awareness of animal welfare. This conflict implies contradiction and unresolved ethical dilemmas. Therefore, this study argues that the policies cause conflict in the field despite the certain level of effectiveness on animal welfare regulations.

• 한국노년학
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• v.29 no.2
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• pp.579-591
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• 2009

The purpose of this study is what are the factors affecting decision making for selection of social welfare facility, esp., elderly care facility. The resident's selection for social welfare facility are relatively new terms in the Korean social work. To explore the factors, we employed an empirical study. The collected data was analyzed by using SEM(Structural equation modeling). As the results, the standardized regression coefficient of the hypothesis that the service quality will affect the service satisfaction is equal to 0.555(t=6.723, p<0.01) and the coefficient that the service satisfaction will affect the decision making is equal to 0.766. The absolute fitness of the SEM model shows χ² = 580.151(d.f.=317, p-value=0.000) and RMSEA=0.063, so that the model is absolutely fit. Since CFI=0.915, the model is comparatively fit. Conclusively speaking, the hypothesis that service quality affects to service satisfaction was supported. The hypothesis that service satisfaction affects to decision making was also supported. By accounting for the results of the analysis, this study verified the service quality leading to service satisfaction is an important factor for resident to select a residential facility.

• 한국노년학
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• v.34 no.2
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• pp.369-386
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• 2014

The purpose of this study was to develop the classification of home-based long-term care activities and to test its validity. In this study, the taxonomy of long-term care activities was structured according to the service domain and process. Two expert groups participated in making a draft of the taxonomy that was composed of 7 service domains, 22 care needs, 22 service objectives, and 114 activities. Reliability and validity of the taxonomy was tested in a sample of 152 elderly subjects who used the home-based long-term care services. Based on the factor analysis of 114 activities, 21 factors were extracted from 114 activities. Internal consistency of the factors was high. Content validity was confirmed by the CVI. Long-term care insurance grade was used to assess the criterion validity. Among 21 care needs, 12 cares needs were significantly different from their grade. The classification of home-based long-term care activities demonstrated reliability and validity. In conclusion, the use of this classification is recommended while communicating with the elderly subjects, service providers, and the 3rd party payers.