• The Korean Journal of Health Service Management
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• v.8 no.2
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• pp.89-100
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• 2014

The purpose of this study was to reveal association between medical service quality, consumer satisfaction, service value and customer loyalty. Medical service quality was composed of physical quality, personal quality, technical quality, procedural quality. We thought these factors affect to the consumer satisfaction, service value and customer loyalty. For this study, 221 dental patients in Busan and Ulsan are participated in this study. The data were analyzed with descriptive statistics, t-test, ANOVA, pearson's correlation coefficients, and stepwise multiple regression analysis with SPSS 18.0 program. In conclusion, we obtained the next results. First, the influencing factor in consumer satisfaction were physical quality(${\beta}$=.519), personal quality(${\beta}$=.262), procedural quality(${\beta}$=.110), adjusted $R^2$=.537. Second, the influencing factor in service value were physical quality(${\beta}$=.253), personal quality(${\beta}$=.251), technical quality(${\beta}$=.210), procedural quality(${\beta}$=.136), adjusted $R^2$=.401. Third, the influencing factor in customer loyalty were personal quality(${\beta}$=.343), physical quality(${\beta}$=.302), procedural quality(${\beta}$=.148), adjusted $R^2$=.398. As dental patients' desire to medical service quality becomes diversified, the analysis result is considered to help the future dental service management.

• Korea Journal of Hospital Management
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• v.4 no.2
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• pp.266-285
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• 1999

The purpose of this study is to identify influencing factors for successful introduction, implementation and management of HMRPS through assessment of the employees attitude toward HMRPS in technical, administrative, and organization behavioral areas. Data were collected from 157 HMRPS employee members' self-reporting questionnaire in three university hospitals in the city of Seoul and Kyonggi Province from November 5 to November 10, 1997. Relevant literature on industry company MPR system theory was reviewed to develop the theoretical framework. The results were as follows: The employee's recognition of tangible benefit were more significantly influenced success than intangible benefit for successful operation relating the HMRPS. Concerning the employee's recognition of the successful HMRPS and the factor of influenced success was significantly positive correlation between tangible and intangible benefits and success factor in technical, administrative, and organizational behavior area. This study showed that major factor affecting the employee's recognition of tangible and intangible benefit for successful HMRPS. For tangible benefits; Success factors in the technical areas were quality of the data and information, efficiency of inventory management and rescheduling of operation plan. Success factors in the administrative areas were: role of top management. Success factors in the organization behavioral areas were; simplicity of the HMRPS, human resistance to change. For intangible benefits; Success factors in the organization behavioral areas were; user involvement, simplicity of HMRPS, human resistance to change. Futhermore as the exact evaluation of successful factors of HMRPS implement is needed, research for the development of systemic variables of physical distribution system control, methods, capacity of system, duration and other environment in many of 30 hospitals or more, and for the empirical study for HMRPS.

• Journal of Practical Engineering Education
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• v.11 no.1
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• pp.117-123
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• 2019

The aim of this study was to investigate the priority partner countries for technical vocational education and training (TVET), using the cluster analysis. The partner countries were prioritized for finance supports and knowledge sharing. We had also redesigned the TVET assistance process as well as reflected the needs of recipient countries for TVET. Especially, by redesigning the methodological support process, we also increased the effectiveness and efficiency of TVET official development assistance. In research method, potential 24 priority partner countries have been designated by the international development cooperation committee and selection criteria of international cooperation agencies and banks. Then, we conducted the cluster analysis, using three main variables: economic factor, labor market factor, education factor. In results, we clustered four and three types of the priority partner countries for TVET. In future, we suggested the new approach for selecting the priority partner countries in terms of employment and labor as well as non-designated partner countries, which will need to cooperate for TVET.

• Journal of Korean Library and Information Science Society
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• v.40 no.2
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• pp.69-86
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• 2009

This study was intended to investigate the quality control in technical services outsourcing in academic libraries. For this purpose, investigated related papers and the experience of outsourced technical services in three academic libraries. Data from senior librarians charged with revision of catalogs are gathered. Issues of catalogs production and quality control are explored and statistics of outsourcing is analysed. Quality control is a major factor of the success of technical services outsourcing operation. The some suggestions in order to enhance quality of vendor-supplied cataloging are presented.

• Journal of Information Management
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• v.43 no.4
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• pp.69-96
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• 2012

Based on analysis of trend and development of industrial and technical information such as patents and scientific data, using industrial and technical information in the process of planning can be a important factor to reduce budget and opportunity cost. This study aims to investigate needs to collect and analyze industrial and technical information in planning of R&D project. To do it, this study examines definitions, needs and types of industrial and technical information for planning of R&D project. And then this study investigates the importance of use of industrial and technical information in the process of planning of R&D and performs case study in domestic and foreign countries. Lastly, this study investigates a method to analyze industrial and technical information for R&D planning and proposes the role of a library for R&D planning.

• Journal of National Security and Military Science
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• s.5
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• pp.241-280
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• 2007

This study examines the relationship of the industry-specific factors that effect innovation of manufacturing technology and the market share within the defense industry. Since the establishment of the basic defense industry framework in 1973, there were numerous interactions of the industry-specific factors of the defense industry structure with the technological innovation and market organization of the defense industry. During last three decades, the domestic defense industry has achieved the considerable level but the framework of the basic system has not developed much in areas of the military science and the defense manufacturing technology. Industry-specific factors were formed in the process and appeared in a variety of behavioral characteristics as subsystems. Currently, there IS a growing trend where the management of defense industry is gradually deteriorating due to limitation of the domestic industry-specific factor (e.g. defense technologies, amount of demand, etc.). If there is a prominent imbalance of the industry-specific factors. it can trigger the potential problem of conflict, lack of cooperation and control, slowing the growth of the manufacturing technology thereby diminishing the market and deteriorating the defense supply/demand relationship. In a research conducted by Joe S. Bain, Bain analyzed the relationship of the traditional industrial organization where industry-specific factor(S) not only impacts the conductor(C). And, conductor(C) influences the shaping of the performance(P) of relationship of the traditional industrial organization. Consequently, the researcher has identified the demand monopoly, barriers to entry, and market competition with comparison of defense industry issues. These defense issues were three industry-specific factors identified, which are 1) The demand monopoly and The entry barriers to new market competition, 2) the industrial technical factor to a production technical competitiveness and a market sharing competitiveness, 3) the probability factor to revolution for military affairs(RMA) and a R&D production. According to baseline with these factors, the following research model is established from the special companies group(Group A), the systematization companies group(Group B), and the general companies group(Group 0. The hypothesis is that if there are more industry-specific factors, then there will be more relationships of defense industry relation statutes. This research is an empirical study on the relationship that the industry specific factors effects the innovation of manufacturing technology and the shaping of the market in the defense industry. Moreover, the existing models to evaluate the industry specific factors of the defense industry IS much to be desired with the controlled statistical analysis of the result. It is vital to study on current situation with suggesting alternative strategy to the efficient strategy. The descriptive analysis approach analysis is conducted with SPSSWIN to conduct reliability test, factor analysis, correlation analysis, cross-tabulation analysis, one-way ANOVA, and multiple regression analysis. However, there were some limitations of the survey such as the rigidity of concept about the technical factors and various market management factors. The wishes is that the decision-maker could be utilized these defence industrial factors to formulate efficient defence policy and strategy in the future.

• Journal of Venture Innovation
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• v.2 no.1
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• pp.93-118
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• 2019

This study empirical analysed how senior's technical stress and self-efficacy affected entrepreneurial intentions and whether resilience functioned as a mediating effects between them. 207 data were collected from the field survey questionnaires administered to a convenience sample of senior men and women aged 40 and over who had entrepreneurial intentions. For hypothesis testing, the IBM SPSS Statistics 24.0 was used. Frequency analysis, exploratory factor analysis, correlation analysis, and hierarchical regression analysis were conducted. Empirical studies showed as follows. First, technical stress affected senior's entrepreneurial intentions. Second, self-efficacy turned out to affect senior's entrepreneurial intentions. Third, resilience came out to have a partial-mediating effects between technical stress and the senior's entrepreneurial intentions as well as between self-efficacy and the senior's entrepreneurial intentions. These research outcomes supported the preceding studies that self-efficacy played key roles in maximizing senior's entrepreneurial intentions and demonstrated the importance of self-efficacy as an independent variable for seniors to promote entrepreneurial activities with an intention of starting a new business. Furthermore, the technical stress newly introduced as an independent variable was found to be the next most important factor after the self-efficacy. The study also confirmed that the resilience has been doing an partial-mediating effects. However, it appeared that the technical stress affected the will of start-up, but it appeared to be a positive relationship. For generalization of this finding, further studies are required.

• The Journal of Korean Association of Computer Education
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• v.9 no.3
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• pp.67-74
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• 2006

The purpose of this study is identifying variables that affect to learners' preference toward specific e-learning programs, using an exploratory factor analysis(EFA) method. We extract common factors that explain the correlations among variables. In the result, 8 factors were identified as main influential factors: e-learning program design(1st factor), the purpose of e-learning use(2nd factor), social and cultural issues(3rd factor), demographics(4th factor), organizational needs(5th factor), impacts of e-learning(6th factor), e-learning management(7th factor), and technical issue(8th factor).

• Korean Journal of Agricultural Science
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• v.38 no.1
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• pp.183-190
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• 2011

The paper is to analyze multi-attributes for expanding new renewable energy in agricultural sectors which have environmental, technical, economic, and social factors consisting of 15 attributes which have both positive and negative impacts. We applied the analytic hierarchy process (AHP) to data from opinion polls. As a result of the AHP survey, the overall results indicate that the respondents more weight on economical factor than environmental, technical, and social factors for expanding new renewable energy. At the lowest level, a comparison of individual 15 attributes within three factors shows that fixed cost highest in multi-attributes, followed by operating cost, technical superiority. To achieve the public acceptance about expanding new renewable energy in agricultural sectors, the policy-makers should take all relevant factors into account through the decision-making process by the public opinions.

• Structural Engineering and Mechanics
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• v.18 no.4
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• pp.441-459
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• 2004

This paper explores the potential use of neural networks (NNs) in the field of contact mechanics. A neural network model is developed for predicting, with sufficient approximation, the contact lengths between the elastic layer and two elastic circular punches. A backpropagation neural network of three layers is employed. First contact problem is solved according to the theory of elasticity with integral transformation technique, and then the results are used to train the neural network. The effectiveness of different neural network configurations is investigated. Effect of parameters such as load factor, elastic punch radii and flexibilities that influence the contact lengths is also explored. The results of the theoretical solution and the outputs generated from the neural network are compared. Results indicate that NN predicted the contact length with high accuracy. It is also demonstrated that NN is an excellent method that can reduce time consumed.