• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2002.03a
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• pp.1-11
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• 2002

As the competition among the ports is extreme, the purpose of this study which intendsto keep sustainable competitive advantage in Busan Container Terminals through the quality management of port service is shown as the followings. First, the common factor of quality management activities In the part of domestic container port is to be analysed. secondly, the efforts for enhancing the standard of quality management is to be confirmed lastly the relationship of cause-effect among the source of quality management, quality management activities and quality management is to be clarified. An empirical study was carried out to examine how Busan Container Terminals view quality management activities by the provision of statistical evidence showing the efforts to enhance the standard of quality management, common factors of quality management activities and causal relationship among these factors. The data investigating the quality management for Busan Container Terminals were collected from 170 persons in charge of quality management for port services in Busan Container Terminals the use of questionnaire method and personal interviews. The Cronbach's $\alpha$ coefficient and factor analysis were used to analyze the reliability and the propriety of measured variables. Furthermore SEM method using AMOS 4.0 was used to analyze the cause-effect relationship among the source. activities and accomplishments of quality management representing the core concept of quality management system. The importance of this study is placed in the description of the theoretical and general system on the quality management when the domestic container terminals have activated to promote the quality management, and in suggesting the actual problem and settlement method which are directly helpful to the field, and It can be indicated as having its meaning on future research obect.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.79-90
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• 2021

The purpose of this research is to identify factors affecting the acceptance and use of e-tax services among medium taxpayers in Phnom Penh, Cambodia. The researcher conducted the study based on a quantitative approach by using multi-stage sampling method, which selects a sample size by two or more stages. The first stage sampling was the stratified random sampling and the subsequent stage was purposive sampling. In this study, the stratified random sampling was first used, followed by purposive sampling. The data were collected from 450 medium taxpayers who experienced using e-tax services located in three tax branches in Phnom Penh. This study adapted the confirmatory factor analysis (CFA) and structural equation model (SEM) to analyze the model accuracy, reliability and influence of various variables. The primary result showed that behavioral intention has a significant effect on user behavior of e-tax services among medium taxpayers in Phnom Penh, Cambodia. Moreover, the results revealed that performance expectancy, effort expectancy, social influence, and anxiety have significant impact on behavioral intention. In addition, social influence has the strongest impact on behavioral intention, followed by anxiety, performance expectancy and effort expectancy. Conversely, facilitating conditions, trust in government, and trust in internet do not influence behavioral intention.

• Health Policy and Management
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• v.21 no.1
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• pp.77-92
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• 2011

Objectives : This study examined the health policy researchers' needs and their accessibility towards health insurance claim datasets according to their academic capacity. Methods : An online questionnaire to capture relevant proxy variables for academic needs, accessibility, and research capacity was constructed based on previous studies. The survey was delivered to active health policy researchers through three major scholarly associations in South Korea. Seven-hundred and one scholars responded while the survey as open for 12 days (starting on December 20th, 2010). Descriptive statistics and logistic regression analysis were carried out. Results : Regardless of the definition for operational needs, the prevalent needs of survey respondents were not met with the current provision of claim data. Greater research capacity was shown to be correlated with increased demand for claim data along with a positive correlation between attempts to obtain claim datasets and research capacity. A greater research capacity, however, was not necessarily correlated with better accessibility to the claim data. Conclusions : The substantial unmet need for claim data among the healthcare policy research community calls for establishing proactive institutions which could systematically prepare and make available public datasets and provide call-in services to facilitate proper handling of data.

• Journal of Internet Computing and Services
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• v.19 no.1
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• pp.123-130
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• 2018

With the emergence of a new paradigm called Open Science and Big Data, the need for data sharing and collaboration is also emerging in the computational science field. This paper, we analyzed data-driven research cases for computational science by field; material design, bioinformatics, high energy physics. We also studied the characteristics of the computational science data and the data management issues. To manage computational science data effectively it is required to have data quality management, increased data reliability, flexibility to support a variety of data types, and tools for analysis and linkage to the computing infrastructure. In addition, we analyzed trends of platform technology for efficient sharing and management of computational science data. The main contribution of this paper is to review the various computational science data repositories and related platform technologies to analyze the characteristics of computational science data and the problems of data management, and to present design considerations for building a future computational science data platform.

• Journal of the Korean Society for information Management
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• v.34 no.3
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• pp.229-249
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• 2017

Open science projects are being actively carried out globally. Publishing the results of public research (publications and data) in digital format and enhancing access to these materials are getting more important. Various research support tools are being used to support open research, open access, open data, open peer review and open research performance evaluation. We analyzed research support services to prepare open science movement in Korea. Korea is not ready for research data management and research collaboration except open access and institutional repositories. It can be seen as an urgent matter to analyze these international open science research support services carefully and reflect them in research support policy and service guideline.

• Journal of Information Technology Services
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• v.22 no.4
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• pp.97-110
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• 2023

In this study, we propose a technique to automatically generate transfer documents using sensor data from livestock manure transfer systems. The research involves analyzing sensor data and applying machine learning techniques to derive optimized outcomes for livestock manure transfer documents. By comparing and contrasting with existing documents, we present a method for automatic document generation. Specifically, we propose the utilization of Gradient Boosting, a machine learning algorithm. The objective of this research is to enhance the efficiency of livestock manure and liquid byproduct management. Currently, stakeholders including producers, transporters, and processors manually input data into the livestock manure transfer management system during the disposal of manure and liquid byproducts. This manual process consumes additional labor, leads to data inconsistency, and complicates the management of distribution and treatment. Therefore, the aim of this study is to leverage data to automatically generate transfer documents, thereby increasing the efficiency of livestock manure and liquid byproduct management. By utilizing sensor data from livestock manure and liquid byproduct transport vehicles and employing machine learning algorithms, we establish a system that automates the validation of transfer documents, reducing the burden on producers, transporters, and processors. This efficient management system is anticipated to create a transparent environment for the distribution and treatment of livestock manure and liquid byproducts.

• Health Policy and Management
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• v.33 no.1
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• pp.40-54
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• 2023

Background: Based on the increase in the needs for convalescent rehabilitation medical services in Korea, this study aims to calculate the needs for rehabilitation services and examine its determinants for 229 regions. Methods: Claim data from the Health Insurance Review and Assessment Service were used to estimate patients who need to receive rehabilitation services, and data from various sources were also used for analysis. The number of cases and incidence rates of hospitalization related to convalescent rehabilitation were calculated to estimate the needs for services by region, and the results were visualized via a map. Multivariate regression and fixed effects regression using panel data were performed to identify the determinants of regional variation of the incidence rate. Results: First, the incidence rate of rural areas such as Jeolla-do, Gyeongsang-do, and Chungcheong-do was higher than urban areas (metropolitan cities). Second, the population, proportion of the elder, medical aid recipients, financial independence, traffic deaths, smoking, diabetes rate, and medical infrastructure correlated significantly with the incidence rate. Third, 'rho' values which mean the fraction of variance due to individual terms in panel data regression models were 0.965 and 0.976, respectively. Conclusion: The incidence rate of hospitalizations was correlated with most independent variables in this study and there is a gap between urban and rural areas. These regional disparities are fixed in our society. An improved regional convalescent rehabilitation system is suggested to cover the entire area including rural areas with a high rate of aging.

• Korean journal of food and cookery science
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• v.14 no.5
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• pp.482-491
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• 1998

The objectives of this study were to characterize the food service managements in university food services. In a survey involving university food service centers throughout the country, the importance, performance scores and policies for food service management were investigated. Of the total 40 institutions surveyed, 23 were run directly by the institution, eight by contract, and nine by rental. Data were analyzed by t-test, ANOVA using the SPSS program. Management system was evaluated separately for organization, human resources, finance, nutrition education, purchasing, quality control, sanitation and safety, and marketing for their relative importance, degree of performance, and policy establishment. It was found that the relative importance scored higher than the degree of performance and policy establishment. When rhe relative importance for the direct, contract and rental operations was compared, the rental operation scored the highest. Performance score of direct was the highest in direct operation. The findings of this research suggest that the university food service should be creative through systematic management, and further research is needed to evaluate various variables that influence productivity, such as employee morale, pleasant working environment, customer satisfaction, and introduction of TOM for university food services.

• Child Health Nursing Research
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• v.23 no.2
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• pp.207-218
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• 2017

Purpose: The purpose of this study was to investigate parents' perceptions and attitudes regarding a screening test for and subsequent management of students' emotional and behavioral problems. Methods: A descriptive research design was used, and included disproportional stratified and cluster random sampling. The sample comprised 223 parents of elementary, middle, and high school students. Data were analyzed using descriptive statistics, Chi-squared test, and ANOVA with SPSS/WIN 21.0. Results: Overall, parents responded that they knew of the goals, types, and tools of screening tests for students' emotional and behavioral problems. In total, 64.6% of parents reported having information for the screening test in advance. Only 13.5%(n=30) of students had emotional and behavioral problems in the last year. Among these students, 56.7%(n=17) were referred to mental health facilities but only 29.4%(n=5) of them received ongoing management from these facilities. Conclusion: These findings suggest that parents should receive information about the screening test for and subsequent management of students' emotional and behavioral problems. Health professionals need to build strategies to provide ongoing management for students who have emotional and behavioral problems.

• Journal of Multimedia Information System
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• v.9 no.3
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• pp.209-218
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• 2022

Industrial IoT applications, including smart factories, require two problem-solving to build data monitoring systems required by services from distributed IoT sensors (smart sensors). One is to overcome proprietary protocols, data formats, and hardware differences and to uniquely identify and connect IoT sensors, and the other is to overcome the problem of changing the server-side data storage structure and sensor data transmission format according to the addition or change of service or IoT sensors. The IEEE 1451.4 standard-based or IPMI specification-based smart sensor technology supports the development of plug-and-play sensors that solve the first problem. However, there is a lack of research that requires a second problem-solving, which requires support for the plug-in of IoT sensors into remote services. To propose a solution for the integration of these two problem-solving, we present a IoT sensor platform, a service system architecture, and a service plugin protocol for the MQTT-based IIoT application environment.