• Journal of Information Technology Applications and Management
• /
• 제28권1호
• /
• pp.1-12
• /
• 2021

The purpose of this study is to analyze the medical ecosystem in the post-corona era. In addition, this study introduces a new medical CRM model that allows primary-level hospitals to overcome the economic difficulties and to occupy a competitive advantage in the post-corona era. The medical environment in the post-corona era is expected to be changed by non-face-to-face treatment, reinforcement of public medical care, the transformation of a medical system centered on the primary-level hospitals, and the use of AI and big data technologies. The medical CRM model presented in this study emphasizes the establishment of mutual customer relationships through close information exchange between patients, primary-level hospital, and the government. In the post-corona era, primary-level hospitals should not simply be approached as private hospital pursuing profitability. These should be reestablished as the hospitals that can provide public health care services while ensuring stable profitability.

• International Journal of Knowledge Content Development & Technology
• /
• 제12권2호
• /
• pp.57-75
• /
• 2022

Currently, it is not easy for most domestic public libraries to collect and provide reliable health information services on their own. Health information is distributed or professional, making it inconvenient for users to use. Based on the implications derived from the case study, the Library Health Information Integration Service Model was proposed as a specialized information service. The model consists of a composition shared by librarians, health and medical experts, and users, focusing on library websites that provide integrated health information integration services, and has the following features. First, it provides health and medical information on a specialized subject. Second, it provides integrated health and medical information services provided in various ways. Third, librarians and health and medical experts work together to provide information services. Fourth, users can freely use health information integration services online and offline. The model presented in this study means that libraries can play a leading role in health information integration services to increase the utilization rate of public libraries and further contribute to librarians serving as experts in health information services.

• 한국비블리아학회지
• /
• 제20권1호
• /
• pp.197-208
• /
• 2009

본 연구의 목적은 공공도서관에 적합한 문화프로그램 모형을 개발하고 운영매뉴얼을 제시하는 것이다. 이를 위해 국내외 문헌의 프로그램 모형과 매뉴얼을 조사하였고, 도서관 문화프로그램 전문가와 면담을 통해 데이터를 수집하였다. 연구 결과에서 문화프로그램 모형을 내적요소와 외적요소로 구분하여 제시하였다. 문화프로그램의 밑바탕이 되는 틀인 내적요소에는 문화프로그램의 목적과 도구가 포함되고, 개개의 문화프로그램을 어떤 내용을 어떻게 전달할 것인가에 대한 외적요소에는 문화프로그램의 주제 분야 및 형식을 포함시켰다. 도서관에서 문화프로그램을 개발하여 실행하기 위한 운영매뉴얼을 제시하였는데 전 과정을 12단계로 구분하고 각 단계에서 필요한 중요 활동을 따로 제시하여 각 단계에서 무엇을 하여야 할 것인가 서술하였다.

• 한국경영과학회지
• /
• 제28권4호
• /
• pp.155-189
• /
• 2003

In this research, the comprehensive evaluation model of IS(information systems) for public sectors is theoretically constructed through reviewing and integrating previous IS evaluation-related research. This model is hypothesized to consist of five sectors(System Sector, User Sector, Organization and Management Sector, Resource Management Sector and Strategic Contribution Sector), ten evaluation items belonging to these five evaluation sectors, and sixty two evaluation indices for these ten evaluation items. The results of empirical analyses to test the validity of the research model show that the evaluation sectors turn out to be the same ones as proposed in the hypothetical model. The evaluation items(System Quality, Information Quality, Service Quality) in System Sector proves to be consistent with the hypothetical model. However, in case of User Sector, two evaluation items(Perceived Usefulness and User Satisfaction) which are included in the hypothetical model are found to be merged into one item(User Satisfaction). And, it is shown that four evaluation items such as the Efficiency of Internal Process, Customer Satisfaction, Organizational Innovation, and the Degree of Informatization competence improvement are included in Organization and Management Sector, differently from the research model in which the items, Organizational innovation and the Degree of Informatization competence improvement, are not divided. As a final result, sixty two evaluation indices that comprise all the evaluation items belonging to five sectors are found to be reduced to fifty seven ones through factor analyses, criterion-related validity tests and reliability analyses.

• 디지털융복합연구
• /
• 제15권11호
• /
• pp.147-153
• /
• 2017

한국 정부는 공공부문에 클라우드를 도입하기 위한 다양한 정책들을 시행하고 있다. 이 연구의 목적은 공공무문의 클라우드 도입을 위한 의사결정 모델을 개발하고 공공부문의 클라우드 도입 로드맵을 제안하는 것이다. 이를 위하여 공공서비스의 특성과 공공부문의 클라우드 서비스의 유형을 분석하였다. 이를 통해 공공부문의 클라우드 도입을 위한 요구사항을 파악하여, 퍼지 AHP기반의 융합의사결정 모델을 이용한 공공부문의 클라우드 도입방법을 개발하였다. 연구결과 클라우드 도입 후보군의 우선순위를 결정하였고, 이를 기반으로 단계별 클라우드 도입 로드맵을 제안하였다. 이 연구의 결과는 공공부문의 클라우드 도입과 전환 및 클라우드 정책 수립에 도움이 될 것으로 기대한다. 향후에는 클라우드 도입을 위한 추가적인 의사결정요인뿐만 아니라 예산계획을 개발하는 것이 필요하다.

• 한국건설관리학회논문집
• /
• 제10권5호
• /
• pp.104-112
• /
• 2009

90년대 중반이후 도시하천을 중심으로 추진되던 자연형 하천 정비사업은 2008년 4월 하천법의 개정으로 인해 하천의 친환경적인 기능이 더욱 강조되어, 그 적용 분야는 지방하천까지 폭넓게 확대 되었다. 그러나 기존의 이 치수형 하천정비사업에 초점을 맞춘 하천의 개략공사비 산정모델은 자연형 하천공사에 실시되는 주요공종을 포함하고 있지 않아, 축제공, 호안공사가 전부인 소규모 하천정비공사를 제외하고는 그 적용성이 많이 떨어진다. 따라서 본 연구는 최근의 친환경적인 기능을 강조하는 하천정비공사의 패러다임 등 하천시설공사 관련 환경 및 정책 변화에 따라서 기획 및 설계 단계에서 적용될 수 있는 자연형 하천공사 개략공사비 산정모델을 개발하는 것을 목적으로 한다.

• 한국건설관리학회논문집
• /
• 제9권3호
• /
• pp.65-74
• /
• 2008

국내 건설산업의 공공 발주자는 사업의 초기단계의 사업비관리에 대한 중요성을 충분히 인식하고 있음에도 불구하고 체계화된 공사비 산정시스템을 보유하고 있지 못한 실정이다. 이에 신규 공공 건설공사를 기획하고 사업비를 책정하는 단계에서는 예산을 수립하는 담당자가 기존의 실적데이터와 경험을 바탕으로 공사비를 추정하고 있으며, 기본설계단계와 실시설계단계 이후 산정된 공사비를 책정된 예산과 비교 후 사업의 추진여부를 검토하거나 설계내용을 예산에 맞도록 변경하고 있다. 이에 본 연구에서는 공공아파트의 사업초기단계에서 공사비를 산정할 수 있는 공공아파트 계획설계단계에서의 공사비 예측모델을 개발하고자 하였다. 본 연구의 결과를 바탕으로 계획설계단계에서 공사비를 예측하고 사업비 및 전반적인 설계를 관리한다면 지금보다 더 효율적인 방법으로 국가의 재원을 적절하게 책정하고 집행할 수 있을 것으로 판단된다.

• 아태비즈니스연구
• /
• 제11권2호
• /
• pp.61-79
• /
• 2020

Purpose - This article empirically investigated the effects of the socio-political factor of censorship preconditioning, and organizational support, mediating performance expectancy of public sector officials' behavioural intention to utilise social media in a post-communist country, Mongolia. Design/methodology/approach - This study collected 212 survey data from public sector organisations in Mongolia. Using the Partial Least Squire (PLS) method, this study analyzed the proposal model grounded on the UTAUT model. Findings - There are still communist footprints in the form of censorship, which remained as a negative precondition factor, and this has an indirect negative influence, and organisational support mediates to enhance performance expectancy. Effort expectancy and social influence factors have direct positive influence on the use of social media systems in the government domain of Mongolia Research implications or Originality - This study empirically investigated the model of public employees' intention to examine the post-communist countries' cultural, social, economic, and political systems, government organisational environment of the former communist sphere. The cultural factors, censorship and organisational support, to the existing IT adoption UTAUT model were also identified to test the situation of a post-communist country, Mongolia. This study contributes to the new theoretical involvement with social media by testing a new social media-based third-party intercommunication channel, including intent to use in the public service for post-communist countries. This study practically provides the guidelines to promote social media usage for public sector in the post-communist situation.

• Safety and Health at Work
• /
• 제14권2호
• /
• pp.222-228
• /
• 2023

Background: This study aimed to explore relationships between job stress and psychological adaptation and how they related to interpersonal needs through mood states among female migrant manufacturing workers. Methods: A cross-sectional survey was conducted in 16 factories in Shenzhen, China. Sociodemographic, job stress, psychological adaptation and other psychological information of was collected. Structural equation modeling was performed to delineate the internal relationship between variables. Results: The hypothetical structural equation model exhibited acceptable model fit among female migrant manufacturing workers (χ² = 11.635, df = 2, χ²/df = 5.82, p = 0.003, RMSEA = 0.090, CFI = 0.972, SRMR = 0.020). Job stress was directly associated with mood states and interpersonal needs; Psychological adaptation was directly associated with mood states and indirectly associated with interpersonal needs; Bootstrapping tests demonstrated mediation effect of mood states in the way from psychological adaptation to interpersonal needs. Conclusion: Female migrant manufacturing workers who suffered stress from job and the process of psychological adaptation may have worse mood states and workers with worse mood states are more likely to develop unmet interpersonal needs, a proximal factor of suicidal ideation.

• Asian Pacific Journal of Cancer Prevention
• /
• 제15권6호
• /
• pp.2893-2900
• /
• 2014

Background: Statistical methods are very important to precisely measure breast cancer patient survival times for healthcare management. Previous studies considered basic statistics to measure survival times without incorporating statistical modeling strategies. The objective of this study was to develop a data-based statistical probability model from the female breast cancer patients' survival times by using the Bayesian approach to predict future inferences of survival times. Materials and Methods: A random sample of 500 female patients was selected from the Surveillance Epidemiology and End Results cancer registry database. For goodness of fit, the standard model building criteria were used. The Bayesian approach is used to obtain the predictive survival times from the data-based Exponentiated Exponential Model. Markov Chain Monte Carlo method was used to obtain the summary results for predictive inference. Results: The highest number of female breast cancer patients was found in California and the lowest in New Mexico. The majority of them were married. The mean (SD) age at diagnosis (in years) was 60.92 (14.92). The mean (SD) survival time (in months) for female patients was 90.33 (83.10). The Exponentiated Exponential Model found better fits for the female survival times compared to the Exponentiated Weibull Model. The Bayesian method is used to obtain predictive inference for future survival times. Conclusions: The findings with the proposed modeling strategy will assist healthcare researchers and providers to precisely predict future survival estimates as the recent growing challenges of analyzing healthcare data have created new demand for model-based survival estimates. The application of Bayesian will produce precise estimates of future survival times.