• Journal of the Korea Convergence Society
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• v.10 no.10
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• pp.259-266
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• 2019

The purpose of this study was to examine the need for changes in the administration strategies of hospitals which would be vital for building up competitiveness of hospitals amid the changes in medical market. For that, 20 experts with doctoral degree in public administration and business administration related to the field of hospital administration were selected as the sampling group in the survey. Regarding the method of AHP survey as in this survey. The results showed that the factors were important in the order of medical staff factor(ranked first), overall facility factor(ranked second), staff service factor(ranked third), and access factor(ranked fourth). Second, the relative importance was in the order of medical staff specialization(ranked first), medical staff diversity(ranked second), and medical equipment level(ranked third), regarding the relative importance for general hospital development strategy and the complex weighted value for relative importance.

• Journal of the Korea Society of Computer and Information
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• v.11 no.5 s.43
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• pp.299-310
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• 2006

The purpose of this study is to analyze an effect for the resident satisfaction and quality of life against public administrative service to provide for community residents by the rural-urban consolidation community in the case of 3 cities (Sunchon, Gwangyang, Naju) that have consolidated since January 1995 and Yeosu city that has consolidated in March 1998. This study attempted to empirical survey and analyzed 270 number of 4 cities residents samples in Jeollanamdo through SPSSWIN. As a result of this factor analysis, equality of public administrative service, counterplan of residents, efficiency and access of administrative organ are showed as factors are associated with the satisfying degree of public administrative services for community residents.

• 한국IT서비스학회:학술대회논문집
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• 2007.05a
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• pp.3-8
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• 2007

최근 기업에 적용하고 있는 CRM을 공공부문에 도입하고 있어 그 필요성과 효과에 대한 검증이 필요하다. 이를 위해 기존 서비스 품질과 고객관계관리를 연구하여 공공행정 서비스 품질 차원을 도출한 다음, 공공부문 근무자를 대상으로 설문을 실시하였다. 요인분석결과 9개 요인이 추출 되었으며, 이를 독립변수로 하고 행정업무 효율화를 종속변수로 하여 회귀분석한 결과 고객관계관리 영역에서 공감성은 유의하게 나타났으나, 의사소통, 고객세분화와 맞춤서비스는 유의하지 않는 것으로 나타났다. 이는 고객관계관리가 고객만족에는 영향을 미치지만, 공공부문 근무자들에게는 부담으로 작용하고 있음을 알 수 있으며, CRM이 고객만족에 영향을 미치고 있음을 고려하여 고객만족과 업무효율화가 절충될 수 있도록 공공 고객관계관리 개념의 정립과 공공CRM을 위한 데이터 및 시스템 구축이 요구된다.

• Journal of the Korea Society of Computer and Information
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• v.16 no.1
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• pp.191-199
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• 2011

Under the influence of a paradigm shift for administrative service of public institutions in around the world, the 'Government Affairs Assessment Act' has been enacted in Korea in March 2006. By the law, each local governments have been obligating to conduct self-assessment and resident's satisfaction survey for improving administrative service. Thus, the purpose of this study is to evaluate the administrative service quality of district offices(in seoul) in order to meet the government's efforts, and to derive improvement point of administrative service quality in district office. Consequently, this study shows administrative service quality factors affecting resident's overall satisfaction degree, service value maturity and positive image maturity of district office and then, will explore improvement ways of each district office through attribute analysis of administrative service quality.

• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.269-281
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• 2012

The purpose of this study is to analyze effects of medical service quality on the customer satisfaction and intention of revisit in cancer patients. To achieve purpose of the research, the data was collected from 420 patients in university hospitals using a standardized questionnaires. Using the structural equation modeling(SEM), this study examines the relationship among medical service quality, customer satisfaction and intention of revisit. The results show that the medical service quality factors such as medical expertise, administrative service have positive effects on the customer satisfaction which positively relates to intention of revisit. Medical expertise, convenience, administrative service of the medical service quality factors have positive influence upon intention of revisit. Therefore, the results of this study show that the medical service quality factors which are medical expertise, administrative service leading to customer satisfaction are important factors to revisit hospitals.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.4
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• pp.511-520
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• 2017

The purpose of this study was to investigate the effect of the outplacement service on the career decision-making self-efficacy of discharged soldiers after mid- to long-term service. The survey carried out for this research was on 557 male discharged solders living in the Seoul, Incheon, and Gyeonggi areas. The information was processed using frequency analysis, factor analysis, reliability measurement, independent sample t-test, one-way ANOVA analysis, correlation analysis, and multiple regression analysis by means of the SPSSWIN 22.0 program. The results of this study suggest that counseling, education and training affect only some sub-factors of the career decision self-efficacy. Administrative support positively affects the job information collection skill, goal setting skill, planning skill, and problem solving skill among the sub-factors of the career decision self-efficacy. Job activities support had no effect on the career decision self-efficacy.

• Proceedings of the Korean Society of Health Policy and Administration Conference
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• 2005.12a
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• pp.366-367
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• 2005

• Journal of Digital Convergence
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• v.19 no.11
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• pp.85-93
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• 2021

The government is pursuing plans to create new e-government services. In terms of improving business procedures, dBrain (finance), e-people (personnel), and Onnara (electronic payment and business management) have achieved considerable results, and are currently making efforts to improve existing administrative services using newly emerged ICT. Among them, this paper attempted to study whether self-learning-based intelligent administrative services are efficient in the work process of public officials promoting actual work and affect their continued use. Based on individual perceptions and attitudes toward advanced ICTs such as AI, big data, and blockchain, public officials' influences on administrative services were identified and verified using UTAUT variables. They believe that the establishment and introduction of innovative administrative services can be used more efficiently, and they have high expectations for the use and provision of services as ICT develops. In the future, a model will be also applied to citizens

• Journal of Digital Convergence
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• v.19 no.2
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• pp.299-305
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• 2021

This study examined to identify the factors influencing on inpatients' satisfaction with hospitalization and willingness to recommend hospital to others. Data from the 2018 National Patient Experience Survey were used for the analysis. Of the 593 patients experiencing inpatient services, multivariate linear regression analysis was conducted to explore the factors such as physician care, nursing care, facility and administrative support, and healthcare system on inpatients' satisfaction after controlling for their socio-demographic and health related factors. The study found that physician care, nursing care, administrative support and healthcare system were related to inpatients' satisfaction and willingness to recommend hospital. To improve inpatients' satisfaction, it is necessary to improve healthcare professionals' overall patient-centerdness attitude, user friendly hospital facilities and administrative support services and efforts to trust and satisfaction on healthcare system from the patients' perspectives.

• Journal of Digital Convergence
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• v.18 no.12
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• pp.29-36
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• 2020

The background of this study is that machine learning administrative services are recently attracting attention as a major policy tool for non-face-to-face administrative services in the post-corona era. This study investigated the types of work expected to be effective when introducing machine learning administrative services for Seoul Metropolitan Government officials who are piloting machine learning administrative services. The research method is a machine that can be introduced by organizational unit by distributing and collecting questionnaires for Seoul administrative organizations that have performed machine learning-based administrative services for one month in July 2020 targeting Seoul public officials using machine learning-based administrative services. By analyzing the learning administration service and application service, the business characteristics of each machine learning administration service type such as supervised learning work type, unsupervised learning work type, and reinforced learning work type were analyzed. As a result of the research analysis, it was found that there were significant differences in the characteristics of administrative tasks by supervised and unsupervised learning areas. In particular, it was found that the reinforcement learning domain contains the most appropriate business characteristics for machine learning administrative services. Implications were drawn. The results of this study can be provided as a reference material to practitioners who want to introduce machine learning administration services, and can be used as basic data for research to researchers who want to study machine learning administration services in the future.