• The Research Journal of the Costume Culture
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• v.12 no.5
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• pp.691-701
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• 2004

The first purpose of this study was to compare the factors of information searching before purchasing with the factors of information offering after purchasing of the products, which were communication contents about the wedding Hanbok in internet communities. The second purpose was to propose marketing strategies for internet wedding Hanbok marketer. To accomplish the goal, the content analysis method which considered references and opinions of internet community members was used. Two hundred cases from WEDDING CLUB(62,893members), WEDDING GONGBU (18,649members), and WEDDING DOUMI (17,326members) in Daum internet portal site were selected from August 1 to September 21, 2003. The results were as follows: First, the information factors which were considered seriously when consumers purchased wedding Hanbok, were design, the level of sewing, price, store location, cognitive power, service level, and manufacturing time. Second, the consumers considered the price as the most important factor when they searched internet information. Third, the service factor was also considered importantly, and it was recognized important factor so much after purchasing as before purchasing wedding Hanbok. Fourth, the factors such as cognitive power, manufacturing time and store location were seriously considered as the information searching factors before purchasing. It showed higher rate when compared with information offering factors of after purchasing the wedding Hanbok. Fifth, the factor of sewing was considered as lower rate than other factors. It showed similar results before and after purchasing the wedding Hanbok.

• Culinary science and hospitality research
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• v.6 no.1
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• pp.25-55
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• 2000

The Development of a new menu item in a restaurant usually begins when your chef prepares a creative "brainchild" that he serves to you, the owner. If you are satisfied with the new dish, It gets a "go-ahead" signal, under the assumption that what appeals to you will appeal to a significant number of your customers. While many excellent and successful items have been created this way, It is not reasonable to expect that your tastes can represent the wide variety of your potential guests tastes. The purpose of this study is to examine the factors that have an influence on customers′ menu evaluation. A menu is a marketing tool which delivers restaurant′s image and message to customers needs and wants to restaurant. So far, studies on menu have been done in an analytical way from a management′s viewpoint and inadequate to reflect customers′ needs and wants. In this study is to examine the factors that have an influence on customers′ menu evaluation. The factors affected the customers′ menu evaluation of hotel restaurant in the three factors. Three factors are food service factor, menu copy factor, value of food. Correlation between the evaluation of criteria and selection of menu was examined. All Three evaluation criteria have shown strong correlation with selection of menu of these criteria, menu-copy factor was found to be most strongly correlated with selection of menu. In conclusion, As a study on the Customer′s evaluation factors of the Korean restaurant menus in hotels, It raises to exert us strength in the menu management of Korean restaurant.

• Journal of Information Technology Services
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• v.14 no.3
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• pp.197-215
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• 2015

Recently, many internet users are using cloud computing. Users can manage, store and share their data and information by using personal cloud storage. In this paper, we aim to figure out influencing factors on personal cloud storage selection. The causal relationship between factors were identified through a importance analysis by using AHP(Analytic Hierarchy Process). AHP is a structured technique for organizing and analyzing complex decisions, based on mathematics and psychology. Research model consists of upper factorsincluding system factor, service factor and user factor. 12 lower factors and 6 alternatives were also analyzed. Asa result, system factor of 3 upper factors was found as the most important factor. Purpose-coincidence, security andaccessibility were top 3 factors among lower factors. N drive showed top importance value. We also conducted ANOVAby classifying 4 groups according to gender, age, currently used cloud and cloud to use. The results of this researchcan be useful guidelines for cloud computing industry.

• International Journal of Advanced Culture Technology
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• v.7 no.2
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• pp.67-76
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• 2019

As the attracting foreign student has become a very important strategy, detailed researches on their college selection and their satisfaction with college life are needed. Especially it is necessary to distinguish ordinary international students and those who take classes in Local Education Centers (LEC) before coming to Korea. The central purpose of this study is to identify how the two types of students differ in their perception of college selection factors and what factors affect their satisfaction with college life. A total of 186 international students participated in the study. It was found that the most important college selection factor of the pre-educated LEC students was 'obtaining academic ability through online classes and transfer of credit hours'. Second, these students reported that the two influential factors for their satisfaction with college life were 'quality of education' and 'cultural experience program'. Third, it was found that the major college selection factors influencing ordinary international students' college life satisfaction were 'expertise of faculty', 'transfer of credit through curriculum links', and 'recommendation from teachers at home country'. Fourth, the major factors affecting the pre-educated LEC students' satisfaction with college life were 'KSL classes at LE's', 'expertise of faculty', and 'financial aid system'.

• Journal of the Korean Society of Physical Medicine
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• v.18 no.3
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• pp.11-19
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• 2023

PURPOSE: This study evaluated the incidence of sarcopenic obesity (SO) and examined the specific risk factors in a community-dwelling middle-aged population of women. METHODS: The present study involved analyzing data from a cross-sectional study that included 1,693 community-dwelling women aged between 40 and 49 years. Various risk factors were investigated, including age, height, weight, body mass index, waist circumference, skeletal muscle mass index, smoking and drinking behaviors, systolic and diastolic blood pressure, fasting glucose levels, as well as triglyceride and cholesterol levels. To ensure the accuracy and validity of the results, a complex sampling technique was employed for data analysis. Each sample weight was calculated through a three-step process by estimating base weight, adjusting it for non-response, and modulating it for post-stratification. RESULTS: The incidence of SO was 4.26% (95% CI: 3.20-5.67%). The clinical risk factors for SO were age, height, weight, body mass index, waist circumference, skeletal muscle mass index, systolic blood pressure, diastolic blood pressure, and levels of fasting glucose, triglycerides, and total cholesterol (p < .05). CONCLUSION: This study explores the prevalence and risk factors of SO among community-dwelling women. It adds to the existing literature on SO and identifies potential risk factors in middle-aged women.

• Asia pacific journal of information systems
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• v.23 no.3
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• pp.25-53
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• 2013

This study analyzes the effect of Computer Aided Innovation (CAI) to improve R&D Capabilities empirically. Survey was distributed by e-mail and Google Docs, targeting CTO of 235 SMEs. 142 surveys were returned back (rate of return 60.4%) from companies. Survey results from 119 companies (83.8%) which are effective samples except no-response, insincere response, estimated value, etc. were used for statistics analysis. Companies with less than 50billion KRW sales of entire researched companies occupy 76.5% in terms of sample traits. Companies with less than 300 employees occupy 83.2%. In terms of the type of company business Partners (called 'partners with big companies' hereunder) who work with big companies for business occupy 68.1%. SMEs based on their own business (called 'independent small companies') appear to occupy 31.9%. The present status of holding IT system according to traits of company business was classified into partners with big companies versus independent SMEs. The present status of ERP is 18.5% to 34.5%. QMS is 11.8% to 9.2%. And PLM (Product Life-cycle Management) is 6.7% to 2.5%. The holding of 3D CAD is 47.1% to 21%. IT system-holding and its application of independent SMEs seemed very vulnerable, compared with partner companies of big companies. This study is comprised of IT infra and IT Utilization as CAI capacity factors which are independent variables. factors of R&D capabilities which are independent variables are organization capability, process capability, HR capability, technology-accumulating capability, and internal/external collaboration capability. The highest average value of variables was 4.24 in organization capability 2. The lowest average value was 3.01 in IT infra which makes users access to data and information in other areas and use them with ease when required during new product development. It seems that the inferior environment of IT infra of general SMEs is reflected in CAI itself. In order to review the validity used to measure variables, Factors have been analyzed. 7 factors which have over 1.0 pure value of their dependent and independent variables were extracted. These factors appear to explain 71.167% in total of total variances. From the result of factor analysis about measurable variables in this study, reliability of each item was checked by Cronbach's Alpha coefficient. All measurable factors at least over 0.611 seemed to acquire reliability. Next, correlation has been done to explain certain phenomenon by correlation analysis between variables. As R&D capabilities factors which are arranged as dependent variables, organization capability, process capability, HR capability, technology-accumulating capability, and internal/external collaboration capability turned out that they acquire significant correlation at 99% reliability level in all variables of IT infra and IT Utilization which are independent variables. In addition, correlation coefficient between each factor is less than 0.8, which proves that the validity of this study judgement has been acquired. The pair with the highest coefficient had 0.628 for IT utilization and technology-accumulating capability. Regression model which can estimate independent variables was used in this study under the hypothesis that there is linear relation between independent variables and dependent variables so as to identify CAI capability's impact factors on R&D. The total explanations of IT infra among CAI capability for independent variables such as organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability are 10.3%, 7%, 11.9%, 30.9%, and 10.5% respectively. IT Utilization exposes comprehensively low explanatory capability with 12.4%, 5.9%, 11.1%, 38.9%, and 13.4% for organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability respectively. However, both factors of independent variables expose very high explanatory capability relatively for technology-accumulating capability among independent variable. Regression formula which is comprised of independent variables and dependent variables are all significant (P<0.005). The suitability of regression model seems high. When the results of test for dependent variables and independent variables are estimated, the hypothesis of 10 different factors appeared all significant in regression analysis model coefficient (P<0.01) which is estimated to affect in the hypothesis. As a result of liner regression analysis between two independent variables drawn by influence factor analysis for R&D capability and R&D capability. IT infra and IT Utilization which are CAI capability factors has positive correlation to organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability with inside and outside which are dependent variables, R&D capability factors. It was identified as a significant factor which affects R&D capability. However, considering adjustable variables, a big gap is found, compared to entire company. First of all, in case of partner companies with big companies, in IT infra as CAI capability, organization capability, process capability, human resources capability, and technology capability out of R&D capacities seems to have positive correlation. However, collaboration capability appeared insignificance. IT utilization which is a CAI capability factor seemed to have positive relation to organization capability, process capability, human resources capability, and internal/external collaboration capability just as those of entire companies. Next, by analyzing independent types of SMEs as an adjustable variable, very different results were found from those of entire companies or partner companies with big companies. First of all, all factors in IT infra except technology-accumulating capability were rejected. IT utilization was rejected except technology-accumulating capability and collaboration capability. Comprehending the above adjustable variables, the following results were drawn in this study. First, in case of big companies or partner companies with big companies, IT infra and IT utilization affect improving R&D Capabilities positively. It was because most of big companies encourage innovation by using IT utilization and IT infra building over certain level to their partner companies. Second, in all companies, IT infra and IT utilization as CAI capability affect improving technology-accumulating capability positively at least as R&D capability factor. The most of factor explanation is low at around 10%. However, technology-accumulating capability is rather high around 25.6% to 38.4%. It was found that CAI capability contributes to technology-accumulating capability highly. Companies shouldn't consider IT infra and IT utilization as a simple product developing tool in R&D section. However, they have to consider to use them as a management innovating strategy tool which proceeds entire-company management innovation centered in new product development. Not only the improvement of technology-accumulating capability in department of R&D. Centered in new product development, it has to be used as original management innovative strategy which proceeds entire company management innovation. It suggests that it can be a method to improve technology-accumulating capability in R&D section and Dynamic capability to acquire sustainable competitive advantage.

• Journal of the Korea Convergence Society
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• v.6 no.4
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• pp.121-126
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• 2015

Korea Youth Panel (2008) has 2 panels of the 5th year of Knowledge data to perform statistical analysis and regression analysis, the risk factors in the risk conditions of the family of functional deficits, protective factors, the relationship between the mediating effect of psychological adaptation and protective factors verification mechanisms and the psychological adaptation level it is an objective to analyze the protective factors that protect the high youth. To investigate the differences by frequency analysis and personal characteristics of the analyte's was performed t test using PASW (Predictive Analytics Software) 18.0. And to verify the effect of the parameters is performed rank regression analysis for verification of the effects of protection factors for adaptation. Rather than focusing on youth risk factors in social welfare practice field, focusing on processes and protective factors to reduce the risk factors, it is possible to convert the viewpoint overlooking the youth exposed to risk factors. Also, for young people experiencing difficulties that features loss of the family, it is determined that the prepared foundation which can be provided in the direction of social welfare practical intervention.

• Journal of Elementary Mathematics Education in Korea
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• v.16 no.1
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• pp.39-61
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• 2012

Mathematical creativity is essential in school mathematics and mathematics curriculum and ensures the growth of mathematical ability. Therefore mathematics educators try to develop students' creativity via mathematics education for a long time. In special, 2011 revised mathematics curriculum emphasizes mathematical creativity. Yet, it may seem like a vague characterization of mathematical creativity. Furthermore, it is needed to develop the methods for developing the mathematical creativity. So, the goal of this paper is to search for teaching and learning models for developing the mathematical creativity. For this, I discuss about issues of mathematical creativity and extract the factors of mathematical creativity. The factors of mathematical creativity are divided into cognitive factors, affective factors and attitude factors that become the factors of development of mathematical creativity in the mathematical instruction. And I develop 8-teaching and learning models for development of mathematical creativity based on the characters of mathematics and the most recent theories of mathematics education. These models make it crucial for students to develop the mathematical creativity and create the new mathematics in the future.

• Safety and Health at Work
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• v.12 no.3
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• pp.339-345
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• 2021

Background: Some researchers state that they are not yet able to provide a deep understanding of the underlying causes of unsafe behaviors (UBs). Therefore, the present study was conducted to investigate the attitudes and experiences of Iranian workers of UBs. Methods: This present study was conducted in 35 industries using a semistructured interview based on grounded theory. Forty participants were interviewed, including 13 industrial safety and health experts and 27 workers and supervisors. The analysis of the present study consisted of a three-step coding process including open, axial, and selective coding. Results: The results showed that the factors affecting UBs could be classified into three categories: organizational, individual, and socioeconomic factors. Organizational factors were divided into 6 parts: procedure and environmental conditions, communications, monitoring, organizational safety culture, resource allocation, and human resources. Socioeconomic factors had three subcategories: community safety culture, type of organizational ownership, and economic problems. Finally, the individual factors were classified into two categories of personality traits and individual competence. Conclusion: The results showed that organizational factors were the most categorized, and it is estimated that this factor has a more important role in the UBs. Of course, to better understand the close relationship between these factors and find the weight and importance of each factor, it needs to measure it with multicriteria decision systems.

• Journal of Information Technology Services
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• v.5 no.2
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• pp.59-78
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• 2006

This research is to suggest the factor which is effecting on the information system audit fidelity in the perspective of audit procurer, to develop the measure to evaluate it, to investigate the audit performance and project performance for comparison the audit fidelity between the audit teams. As the analysis results, we found that the audit service factors can be divided to the expert knowledge of auditor and the project attributes itself. It means these factors are the major measures for the audit fidelity. In this research, the hypothesis of this study model is verified throughout the factor and corelation analysis, and the structured equation model is applied. Analysis results show that all relations between the factors are significant statistically. The audit service factors has an effect on audit fidelity. Also the information system audit fidelity can be affect on the project performance, audit performance and customer satisfaction. So, in conclusion, we need to judge closely the audit service factors affecting the audit fidelity for the enhancement of the project performance, audit performance and customer satisfaction.