• 전기의세계
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• v.14 no.4
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• pp.8-17
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• 1965

Firstly, this study has analyzed the following factors affecting the optimum specifications and design of distributive transformers: 1. Facilities installation cost per unit power output. 2. Facilities operating & maintenance cost per unit power output. 3. Production cost per unit power output. 4. Load factor. 5. Loss factor. Secondly, it has clarified the relations between the following factors and the specifications and design of distributive transformers; 1. No-load loss., 2. Load loss., 3. Voltage regulation., 4. Exciting current. Finally, it has determined the method of the most economic design for the transformers using the above factors and relations, and, for optimum the illustrative purpose, suggested their optimum specifications, way of evaluation, and merits by means of typical example.

• Journal of Distribution Science
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• v.12 no.11
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• pp.85-100
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• 2014

Purpose - Recently, the prevalence of high-speed mobile communication technology (4G) and mobile devices (smart phones, tablet PC, etc.) is leading innovative changes across all fields in society as well as business environments. Furthermore, a diversified mobile application service has spread rapidly through mobile devices such as smart phones and tablet PCs. Accordingly, the traditional E-government services paradigm has rapidly changed into mobile intelligence. To identify the influencing factors on the using intention of G4C smart app services, based on previous studies, the variables that influence using G4C smart app services are defined; these are user cognitive factors (perceived usefulness, perceived easiness), user characteristics factors (user innovativeness, self-efficiency, social influence), service quality factors (convenience, interactivity, accessibility), and system quality factors (instant connectivity, safety). Research design, data, and methodology - This is designed not only to collect data with a questionnaire survey (9/22/13~10/23/13) but also to test hypotheses with SEM by SPSS 21.0 and AMOS 21.0 in both Korea and China. All items are used with Likert 5 scales. A total of 643 questionnaires (Korea 318, China 325) are used. Results - The perceived usefulness and perceived easiness in user cognitive factors have positive influence on using intention. The user innovativeness, self-efficiency, and social factors in user characteristics factors have positive influences on using intention. The convenience, interactivity, and accessibility in service quality factors have positive influences on both reliability and using intention. Safety in system quality has positive influence on both reliability and using intention. Reliability has positive influence on using intention. The control variables (Korea and China) affect its control hypothesis. Strategies and implications are suggested to assist the public using the intention of smartphone's e-government services based on the results of the empirical analysis. The mobile application service can be considered a new emergence of the paradigm just like the government's on-line portal websites appeared in the past. Under this prevailing situation of mobile smart devices, to promote the success of e-government mobile APP services, accurate analysis and understanding of users should precede anything, to provide services to grasp and satisfy users' desire properly. Conclusions - This study proposes implications to help E-governmental officers and companies make strategies. First, this is expected to give some information on the understanding and knowledge regarding the process of G4C smart APP service based on the empirical study. Second, this helps to make future policies and ways about E-government G4C smart APP service. Third, it is proved that super speed mobile communication technology and devices including phones will be crucial to change the structure of E-government services in 2-3 years. Fourth, it is necessary to increase the trust and using intention of users. Fifth, considering what type of environment users are placed in, to present proper public information matching their inclination, is important. Finally, various ways of experiencing service to explore potential users and ceaseless public relations are required.

• Archives of Plastic Surgery
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• v.44 no.5
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• pp.428-433
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• 2017

Background Candidate characteristics for hand surgery fellowship training remains unknown, as very little data is available in the literature. This study aims to provide information on the criteria that are employed to select candidates for the hand surgery fellowship match. Methods A 38-question survey was sent in April 2015 to all Accreditation Council for Graduate Medical Education recognized hand surgery fellowship program directors (n=81) involved in the U.S. match. The survey investigated factors used for the selection of applicants, including medical school, residency training, research experience, fellowship interview, and candidate characteristics. A 5-point Likert scale was used to grade 33 factors from "not at all important" (1) to "essential in making my decision" (5); or for five controversial factors from "very negative impact" (1) to "very positive impact in making my decision" (5). Results A total of 52% (42 out of 81) of responses were received from hand surgery fellowship program directors. The most important influential factors were interactions with faculty during interview and visit ($4.6{\pm}0.6$), interpersonal skills ($4.6{\pm}0.5$), overall interview performance in the selection process ($4.6{\pm}0.6$), professionalism and ethics ($4.6{\pm}0.7$), and letters of recommendation from hand surgeons ($4.5{\pm}0.7$). Factors that have a negative impact on the selection process include visa requirement ($2.1{\pm}1.2$), graduate of non-plastic surgery residency program ($2.4{\pm}1.3$), and graduate of a foreign medical school ($2.4{\pm}1.1$). Conclusions This study provides data on hand surgery fellowship directors' perception on the criteria important for fellowship applicant selection, and showed that interview-related criteria and letters of recommendation are the important factors.

• The Journal of Korean Academic Society of Nursing Education
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• v.24 no.4
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• pp.358-366
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• 2018

Purpose: This purpose of this study was to identify the level of knowledge and attitude of patient safety and patient safety management activity (PSMA) and identify influencing factors of PSMA in nursing students. Methods: The participants were 210 fourth-year nursing students in C and G city. Data were collected with structured questionnaires from October 10 to November 10, 2017. Descriptive statistics, t-test, one way ANOVA, Pearson's correlation and multiple regression with SPSS 21.0 were used. Results: As a result, the level of knowledge of patient safety was 9.05, attitude of patient safety was 4.07, and PSMA was 4.22. The factors influencing PSMA were knowledge and attitude of patient safety. The regression model explained 77% of PSMA. Conclusion: Based on the results of this study, it is suggested that a systematic education program considering factors influencing the patient safety management activities of nursing students be developed.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.4
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• pp.41-50
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• 2020

The paper aims to investigate auditors, auditing firms and other external factors that affect quality of information technology audit in Vietnam. We conducted 2 types of data collections including direct and on survey. For direct survey, we sent directly to auditors at the training classes organized by State Securities Exchanges Commission. An online survey was established and Google doc link was provided to the Big4 and non-Big4 auditors. We received 138 survey responses in that 90 auditors came from Big4 and 48 auditors from non-Big4 firms. The data are analyzed using a factor analysis and compare means approaches to illustrate the potential IT audit quality factors and identify differences between two groups of auditors. The results show that independence and accounting knowledge and audit skills are the most important factors. And since external auditors perform many assurance services, the independence is critical. The result also shows that the auditors need to have enough competent and professional skills when conducting an audit, especially within an IT environment that requires high quality. The findings suggest a similar pattern of two groups in the context of Vietnam and some factors of auditors and auditing firms appear to have a statistically significant impact on quality of IT audit.

• Korean Institute of Interior Design Journal
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• v.25 no.4
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• pp.23-34
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• 2016

The purpose of this study was to investigate the influential factors of space marketing, and then to empirically analyze how they were reflected on the facade elements of sports stores. In order to achieve such a purpose, the research was firstly based on the perspective of space marketing to extract various features into 4 types of factors, namely sensuous factors, differentiated external appearance factors, image-associating factors and story-creating factors. Secondly, this study extracted the elements of facade design for sports stores including architectural elements, visual elements and display elements. Thirdly, it clarified the correlation of the influential factors of space marketing with the external space elements of sports stores. Fourthly, the qualitative analysis method was applied to analyze eight selected cases in Busan and eight selected cases in Fukuoka, Japan in order to explore the various different methods of expression of facade design. Lastly, the study found that the stores in Busan mostly take advantage of contrasting effects to deliver a strong visual impression to customers in the sensuous factors. Besides, the facade shapes in Busan were designed to be straight in order to enhance the main doors with its distinguished formative features to maximize the effective expression of the differentiated external factors, along with other expression methods of the image associating and story creating factors. This was done to associate with the brand identity in comparison with the stores in Fukuoka.

• Journal of the Korean Society of Clothing and Textiles
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• v.16 no.4 s.44
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• pp.471-484
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• 1992

The purpose of this study was 1) to find out Market segmentation possibilities according to consumer's store selection factors by analysis of Consumer's attitude and oriteria of apparel store selection, 2) to provide marketing strategies of segment marker for apparel stores Research problems were as follows. 1) To find out the important factors of consumer's store selection and to segment markets according to their factors. 2) To find out consumer characteristics (demographic variables, clothing life factors, cloth-ing purchase behaviors) according to segment markets. 3) To find out preference store types and preference factors according to segment markets. 4) To provide marketing mix strategy for retail apparel store sales. The subjects selected for the final analysis were 586 female college students, housewives, and workers living in Seoul. A questionnaire was developed in order to measure consumer's selection criteria of apparel store, consumer characteristics and preferred store types and preferential factors. The results of this study were as follows: 1. There were 8 factors of consumer's store selection such that: the high quality, convenience, store atmosphere, economy, dependency commercials, store patronage, the conformity, product assortment. the result of cluster analysis based on these 8 factors of store selection verified that market was able to be segmented as four different market, which were the store loyalty group, the aligned economical group, the assortment pursuing group, the store fame dependent group. 2. There were significant differences among four groups, for 4 variables related to consumer's characteristics such as demographic characteristics (sex, age, job, level of education, the living quarters, marrige or unmarrige), clothing life factors, clothing evaluating criteria, and favorite fashion information sources. 3. There were significant differences among four groups for 2 variable related to store preference such as preference types of store and preference factors of store.

• Journal of Digital Convergence
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• v.15 no.7
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• pp.231-238
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• 2017

The purposes of this study is to analysis the differences of the hospital choice factors between first-visit and revisit patients in general hospitals. The samples used for data analysis are 499 outpatients of G, H, S, U hospitals using a standardized questionnaires in 4 provinces. In case of first-visit patients, human, effectiveness and accessibility factors were found to have a significant positive(+) effect on hospital choice factors. In case of revisit patients, human, physical, accessibility, image of hospital and salary factors were found to have a significant positive(+) effect on hospital choice factors. Based on these results, this study suggests implications to improve customer satisfaction, profitability and provide a high-quality medical service by making effectively use of planning strategies of hospital management with a variety of factors.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.36 no.4
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• pp.64-70
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• 2013

Estimation approaches for casual relation model with high-order factors have strict restrictions or limits. In the case of ML (Maximum Likelihood), a strong assumption which data must show a normal distribution is required and factors of exponentiation is impossible due to the uncertainty of factors. To overcome this limitation many PLS (Partial Least Squares) approaches are introduced to estimate the structural equation model including high-order factors. However, it is possible to yield biased estimates if there are some differences in the number of measurement variables connected to each latent variable. In addition, any approach does not exist to deal with general cases not having any measurement variable of high-order factors. This study compare several approaches including the repeated measures approach which are used to estimate the casual relation model including high-order factors by using PLS (Partial Least Squares), and suggest the best estimation approach. In other words, the study proposes the best approach through the research on the existing studies related to the casual relation model including high-order factors by using PLS and approach comparison using a virtual model.

• Journal of Environmental Science International
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• v.21 no.4
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• pp.461-470
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• 2012

Agriculture is more influenced by environmental factors rather than other industries. Among the environmental factors, the meteorological conditions mainly impact the output of agricultural products. Hence, the purpose of this study is to analyze the impact of meteorological factors on the output of elemental agricultural products. As a first step, we obtained the data of the meteorological factors (i.e., precipitation, humidity, temperature, insolation, snowdrifts, wind velocity) and the output of the various agricultural products (i.e., grain, fruits and vegetables, root crops, green vegetables, seasoned vegetables, fruits, special crops) from the year 1990 to 2009 (20 years) of Seoul and the six metropolitan cities in Korea. Then, the analysis of the correlation between the agricultural product with the largest output and the meteorological factors of the place where the corresponding agricultural product is most produced, was carried out in order to determine the core meteorological factor that most impacts the output of agricultural product. The correlation analysis revealed that humidity, insolation and wind velocity have been the crucial meteorological factors to influence the output of the agricultural products. From the result, we can induce that the meteorological forecast information about the vital meteorological factors, i.e., humidity, insolation and wind velocity, facilitates the optimized cultivation plan to maximize the output of agricultural products.