• Korea Journal of Hospital Management
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• v.18 no.4
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• pp.54-77
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• 2013

This paper is a comparison study about leadership training transfer factors between physicians working in large scale hospitals and managers working in firms. To fulfill this purpose, this study conducted a regression analysis on 101 managers and 59 physicians who had attended similar leadership training programs more than 16 hours recently in order to identify the differences on the learning transfer factors. 6 factors such as Learner readiness, Performance self-efficacy, (so far as Trainee Characteristics group), Organization Culture, Supervisor's tangible incentives and Supervisor's intangible support, (so far as Work environment group), Content Validity & Transfer Design (so far Training Design group) were used as independent variables while the personal Managerial Capability Increase and Leadership Capability Increase were used as dependent variables. And also we used 5 factors as control variables ; Job style (Manager or Physician), Age, Gender, Working years and Organization size. Here are the summary of major findings ; first, there were statistically significant differences between the learning transfer factors in leadership training programs for managers and those of physicians. Second, there were also statistically significant differences among trainees' working years and their organization size factors while age and gender do not affect the learning transfer factors. Third, for the physician's leadership training the practitioners should focus on two factors ; Organization Culture and Learner readiness.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.2
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• pp.22-30
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• 2017

PL (Product Liability) refers to the legal responsibility of a manufacturer or seller for bodily injuries or property losses caused by product defects. Therefore, it is important for companies to construct a product liability response system that strategically manage and effectively adapt to product liability. A PL response system refers to companywide operations of PL prevention (PLP) measures, product safety (PS) measures, and PL defense (PLD) measures appropriate for a company's scale and environment. To establish an enterprise product liability response system, each essential component of corporations should be systematically operated and maintained considering the scale and characteristics of the corporations. Essential components of PL response system is Strategy, Organization, Training, Technology, Investment, and Awareness. Role of essential components is that companies need specific strategies to secure product safety and protect customers from product defects, and appropriate organizations must be composed for effective operation of such strategies. The objective of this paper seeks to examine the relationships among the essential components of the product liability response system and PL performance. PL performance consists of positive performance and negative performance. In particular, positive performance include increased efforts in product or process innovation such as strengthening research and development (R&D) to produce safer products without defects. In order to carry out this research we obtained 98 questionnaire of manufacturing company. A summary of the analyses is as follows: First, the awareness and technology among essential components affect significantly to the positive performance. Second, the awareness and strategy among essential components negative affect to the negative performance.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.4
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• pp.159-171
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• 2019

The purpose of this study was to understand the influence of research of consumers' consumption values and toward usage attitude, usage intention and willingness to pay of modern people. The study is a consumer research about food delivery services which is rapidly grown up due to recent transformation on a modern dietary life. This study was based on the main survey had conducted from 23th May 2019 to 26th May 2019 by 336 consumers, aged 18 and older, who had experienced Food delivery services in the past. Statistical analysis was performed by using the IBM SPSS v.25.0. In summary, the results of this study are as follows. First, consumption values of food delivery services had a positive influence on usage attitude. Consumption values were catagorized in five sub-values: functional value, social value, emotional value, epistemic value, and conditional value, all of which were found to be significant in affecting on usage attitude. Second, usage attitude toward food delivery services had a positive influence on usage intention. Third, usage attitude toward food delivery services had a positive influence on willingness to pay. Fourth, usage intention of food delivery services had a positive influence on willingness to pay. The results of the study renders industrial and academic implications to the area of Food delivery services industry.

• Journal of Family Resource Management and Policy Review
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• v.12 no.3
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• pp.23-43
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• 2008

This research investigates the effect of leisure activities on lifestyle satisfaction of senior citizens. The target of this research is 202 people over 60 years of age who live in Seoul. Collected data was analyzed using frequency, percentage, average, T-test, one-way ANONA, and logistic regression analysis. SPSS and the Excel PC Program were used for the analysis. The following is the summary of the result of this research. First - in terms of participation in leisure activities: more active participation is observed with the elderly who have a spouse than with those who do not in every kind of leisure activity (except for the pastime activities). Second - all of the variables indicating the level of satisfaction from activities of the seniors who have a spouse are by far higher than those of the elderly who have no spouse. Third - the leisure activities and the satisfaction from the activities prove affective variables on whether they have a spouse or not. Notably, the religious leisure activities are enjoyed more by those senior citizens who are married. Comparatively, the unmarried senior citizens participate more actively in recreational and pastime leisure activities. This study suggests various practical means to promote leisure activities to the elderly and to raise the level of satisfaction received from those activities, as well as to help those who are concerned with understanding and improving lifestyle satisfaction of the elderly population. Nonetheless, this analysis is limited due to the restriction on the number of objects and samples studied. Therefore, studies to analyze leisure activities by regions in order to account for a more balanced set of systematical tools should follow.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.99-109
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• 2016

This paper aims to examine the role of mediating effect of trust to leaders on the relation between internal marketing and customer orientation. A survey was conducted to examine the responses of 570 employees. Reliability, confirmatory factor analysis and structural equal modeling were used for results. The following are the summary of hypothesis test. First, internal marketing has positive effect on customer orientation. Second, internal marketing has positive effect on employee's trust to leaders. Third, trust to leaders has positive effect on customer orientation. Fourth, the mediating effects of trust to leaders partially mediated the relationships among empowerment, training, reward, internal communication and customer orientation and fully mediated the relationship between management support and customer orientation. Therefore, the results of this study have many theoretical and practical implications.

• Culinary science and hospitality research
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• v.12 no.4 s.31
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• pp.131-139
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• 2006

This study carried out the standardization of processing conditions in mustard powder (MP) for quality improvement and suggested a recycling scheme of mustard oil(MO). Pungent taste in MP and MO was estimated using allylisothiocyanate (AITC) content as a marker. Recovery of crude oil from mustard seed (MS) was best by the cold pressing method. Residual AITC content at $30^{\circ}C$ pressing was 0.54% and 0.42% at $230^{\circ}C$. But residual AITC contents in MOs were 92ppm, 139ppm, respectively. The residual AITC content in MP was the highest (0.54%) when the moisture content in MP was 4.5%. The residual content of volatile oil in MP and MO showed similar results. In summary, crude oil must be removed from MS using the cold pressing method.

• Journal of the Korea Safety Management & Science
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• v.17 no.2
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• pp.215-228
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• 2015

A creative innovation and an innovative problem-solving of industrial companies can be achieved by overcoming the challenges of technical and physical contradictions. The approaches to address conflicting and paradoxical problems, such as technical and physical contradictions have a crucial role in advancing the quality assessment for manufacturer and service provider. The term, technical contradiction, depicts the state that improvement of one ends of IFR (Ideal Final Result) leads to unfavorable condition of the other ends, and results in conflicting problem. Another type of contradictions that's discussed in this study is a physical contradiction which is due to two mutually opposing states of the means of ends, and gives paradoxical situation. By integrating the means-ends chain perspectives, the physical contradiction that is a specifically root-causes, "means", can be initially addressed to resolve the downstream problem of technical contradiction which represents a general and abstract goals, "ends". This research suggests IFR resolution processes to handle both physical contradiction of means and technical contradiction of ends by employing causal relationship with IFR, effects and causes. In summary, the study represents three major processes that resolve such contradictions are demonstrated as follows: 1) Derivation of causal and hierarchical relationship among IFR, ends and means by considering CAED (Cause-And-Effect Diagram) and LT (Logic Tree). 2) Identification of causal relationship between physical contradiction and technical contradiction by using TPCT (TRIZ Physical Contradiction Tree) and TCD (Technical Contradiction Diagram). 3) Application of integrated TRIZ principles by classifying 40 inventive principles into 4 general conditions of the separation principle of mutually opposite states in space, in time, based on conditions, and between the parts and the whole. In order to validate the proof of proposed IFR resolution processes, the analysis of the TRIZ case studies from National Quality Circle Contest in the years, 2011 to 2014 have been proposed. The suggested guidelines that are built based on TRIZ principles can uniquely enhance the process of quality innovation and assessment for quality practitioners.

• Journal of KIISE:Software and Applications
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• v.29 no.1_2
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• pp.10-19
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• 2002

In searching and locating a collection of components on the Web, users require a Web browser. Since the Web libraries tend to grow rapidly, there needs to be an effective way to organize and manage such large libraries. Traditional Web-based library(retrieval) systems provide various classification scheme and retrieval services to store and retrieve components. However, these systems do not include invaluable services, for example, enabling users to grasp the overall contents of the library at the beginning of retrieval. This paper discusses a Web-based library system, which provides the efficient management of object-oriented components and a set of services beyond simple component store and retrieval. These services consist of component comprehension through a reverse engineering process, automated summary extraction, and comprehension-based retrieval. Also, The performance of an automated cluster-based classification scheme adopted on the system is evaluated and compared with the cluster-based classification scheme adopted on the system is evaluated and compared with the performance of two other systems using traditional classification scheme.

• Journal of environmental and Sanitary engineering
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• v.4 no.2 s.7
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• pp.61-90
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• 1989

The purpose of this study was to identify and name clusters of school health program, and to describe some of the characteristics of administrative supports. The literature, materials and public documents were analysed by the chronological events from 1945 to 1989. The result of this study is as follows : 1. A brief summary of the history of school health program was included as an introduction to the analysis of the current programs of school health. Five current school health-program clusters were identified from findings of a study of programs ; 1) Physical assessment, laboratory examination and health services for the students, 2) health insturction 3) healthful living condition(environmental health), 4) health clinic management 5) administrative supports. 2. The earliest school-based efforts focused on communicable disease prevention by the ministry of health and social affairs. Annual medical inspection(health assessment) for school children for eyes, ears, nose, and throat were mandated nation-wide in 1951 by physical Assessment Act. 3. In 1979, the health instruction of schools to improve the health status of students was improved by health department in the Ministry of Education. 4. Experiences in healthful environment were basic components of the school health program. However, without careful planning and supervision these experiences were not contributed to the goal of school health. The formal program of school health environment were initiated in 1979. 5. In 1980, the guidelines of school health clinic management were prepared by Ministry of Education such as guidance of essential degrees and facilities in school health clinic. 6. Two patterns of administration of school health programs existed in Korea. In one the school health department operated its own health program and in the other the physical education department operated the health program within the school system. The school health department was established in Ministry of Education from 1979 to 1982. Improved school health programs will be a key element in the comprehensive national child health policy whic I will ask the Ministry of Education to develop for the Department.

• Smart Structures and Systems
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• v.24 no.5
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• pp.567-585
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• 2019

In the past two decades, structural health monitoring (SHM) systems have been widely installed on various civil infrastructures for the tracking of the state of their structural health and the detection of structural damage or abnormality, through long-term monitoring of environmental conditions as well as structural loadings and responses. In an SHM system, there are plenty of sensors to acquire a huge number of monitoring data, which can factually reflect the in-service condition of the target structure. In order to bridge the gap between SHM and structural maintenance and management (SMM), it is necessary to employ advanced data processing methods to convert the original multi-source heterogeneous field monitoring data into different types of specific physical indicators in order to make effective decisions regarding inspection, maintenance and management. Conventional approaches to data analysis are confronted with challenges from environmental noise, the volume of measurement data, the complexity of computation, etc., and they severely constrain the pervasive application of SHM technology. In recent years, with the rapid progress of computing hardware and image acquisition equipment, the deep learning-based data processing approach offers a new channel for excavating the massive data from an SHM system, towards autonomous, accurate and robust processing of the monitoring data. Many researchers from the SHM community have made efforts to explore the applications of deep learning-based approaches for structural damage detection and structural condition assessment. This paper gives a review on the deep learning-based SHM of civil infrastructures with the main content, including a brief summary of the history of the development of deep learning, the applications of deep learning-based data processing approaches in the SHM of many kinds of civil infrastructures, and the key challenges and future trends of the strategy of deep learning-based SHM.