• Fashion & Textile Research Journal
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• v.19 no.1
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• pp.30-39
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• 2017

This study examines on the relationship of appearance instrumentality and appearance-related variables (appearance concern, appearance management behavior) of college students. Questionnaires were administered to 313 college students living in Daegu. The SPSS 20.0 package was utilized for data analysis which included frequency analysis, Cronbach's ${\alpha}$, factor analysis, cluster analysis, cross tabulation analysis and t-test. Three factors of appearance instrumentality(love relationship, social achievement, interpersonal relationship), two groups of appearance concern(high, low) and five factors of appearance management behavior(skin care/cosmetics usage behavior, body management behavior, plastic surgery behavior, hair management behavior, fashion management behavior) were utilized for the problem analysis of the study. The results of this study were: First, there was no significant differences in the appearance concern group according to appearance instrumentality. Second, appearance instrumentality had a significant differences on appearance management behavior. Social achievement showed a significant differences in plastic surgery behavior. And love relationship showed a significant differences on plastic surgery behavior and fashion management behavior. Third, the appearance concern had a significant differences on all of appearance management behavior. High group of appearance concern showed a higher average than low group of appearance concern in fashion management behavior, skin care/cosmetics usage behavior, hair management behavior, plastic surgery behavior, body management behavior.

• The Research Journal of the Costume Culture
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• v.13 no.2 s.55
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• pp.200-208
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• 2005

This study was aimed to provide the measurement data and shape classification of the head of the Korean female children for the headwear sizing systems. Four hundred nineteen female children, aged nine to twelve years, participated for this study. The 19 regions on the head and height, weight of the subjects were directly measured by the expert experimenters. Factor analysis, cluster analysis, GLM analysis and Tukey HSD test were performed using these data. Through factor analysis, five factors were extracted upon factor scores and those factors comprised $71.318\%$ for the total variances. Three clusters as their head shape were categorized using fiver factor scores by cluster analysis. Type 1 was characterized by the widest head width, Bitragion arc, and shortest head length, and medium height and weight. Type 2 had the longest head length and the widest side head width and the highest head circumference, and highest height and largest weight. Type 3 was characterized by the medium head length, smallest head circumstance, narrowest head width and side head width, and smallest height and weight.

• Journal of the Korea Safety Management & Science
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• v.7 no.4
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• pp.61-71
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• 2005

Many researches have been focused on the analysis of industry disasters in order to reduce them. As a similar endeavor, this paper provides a propensity analysis of injured people from various industries using classification and regression tree(CART), a data mining algorithm. The sample for this work was chosen from 25,157data related to various industries during one year ( $2003.2\sim2004.1$ ) at Kangwon-Do in Korea. For the purpose of this paper, eight independent variables (injured date, injured time, injured month, type of Injured person, continuous service period, sex, company size, age)are taken from injured person group. According to the analysis result, it is found that five out of the eight factors that are predicted as significant have salient effects. Factors of season, time/hour, day of the week, or month which disasters happened do not show any significant effect. This paper provides common features of injured people. The provided analysis result will be helpful as a starting point for root cause analysis and reduction of industry disasters and also for development of a guideline of safety management.

• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 1995.11a
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• pp.51-58
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• 1995

The importance of the risk analysis tool has been recognized and its use also has been emphasized by a number of researchers recently The methodology were examined but neither algorithms nor practical applications have been implemented or practiced in Korea. In this paper, the architecture of the Buddy System, one of the automated risk assessment tools. is analyzed in depth to provide the algorithmic understanding and to promote the development of the risk analysis methodology. The Buddy System mainly uses three main factors of vulnerability, threat and countermeasures as a nucleus of the qualatative analysis with the modified loss expectancy value. These factors are identified and assessed by the separation of duties between the end user and security analyst. The Buddy System uses five axioms as its bases of assessment algorithm and the assessed vulnerability level is strictly within these axioms. Since the In-place countermeasures reduce the vulnerability level up to a certain level. the security analyst may use "what if " model to examine the impact of additional countermeasures by proposing each to reduce the vulnerability level further to within the acceptable range. The emphasis on the qualitative approach on vulnerability leveling is very well balanced with the quantitative analysis that the system performance is prominent.prominent.

• Korean Journal of Adult Nursing
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• v.22 no.6
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• pp.634-643
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• 2010

Purpose: The purpose of this study was to identify the reported factors influencing fatigue of middle aged women. Methods: Two hundred seven middle aged women between 40 and 59 years of age were recruited from five areas in Korea from March 1, 2010, to April 20, 2010. Data were collected by self-reported questionnaires. Data analysis was done using SPSS/WIN 15.0 program for descriptive statistics, Pearson correlation coefficients and stepwise multiple regression. Results: The average score of fatigue was $2.34{\pm}0.40$. There were significant differences in reported fatigue according to economic status and health status. The reported fatigue was significantly correlated with somatic attribution, psychological attribution, normalizing attribution, depression, marital adjustment, stress, and social support. The major factors that affect fatigue in middle aged women were stress, depression, and normalizing attribution, which explained 32.3% of fatigue. Conclusion: The findings can reduce the fatigue by controlling stress and depression. Additionally, this study can understand the attribution of fatigue in middle aged women. More studies are needed to identify other variables that influence on the fatigue of middle aged women.

• The Journal of Society for e-Business Studies
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• v.4 no.3
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• pp.77-94
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• 1999

The Electronic Commerce is expected as one of the most prospective industries in the 21th century, This research performed a survey and analysis is based on the results of the service quality model and previous research of the service quality in MIS. Service quality, one instrument developed by the marketing area, is provided as a possible measure of internet shopping mall, Service quality measures five service dimensions of tangible, reliability, responsiveness, assurance and empathy. The main purposes of this study are to develop an exploratory model based on service quality that can explain the factors of customer's perceived service quality and investigate how these factors are related to consumer satisfaction. The results of this survey are summarized as follows: (1) Reliability and responsiveness of internet shopping mall are evaluated as very important factors, (2) Service quality is an antecedent of consumer satisfaction, (3) Consumer satisfaction has a significant effect on purchase intentions.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 1999.12a
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• pp.65-80
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• 1999

The Electronic Commerce is expected as one of the most prospective industries in the 21th century. This research developed a survey and analysis is based on the results of the service quality model and previous research of the service quality in MIS. Service quality, one instrument developed by the marketing area, is provided as a possible measure of internet shopping mall. Service quality measure five service dimensions of tangible, reliability, responsiveness, assurance and empathy. The main purposes of this study are to develop an exploratory model based on service quality that can explain the factors of customer's perceived service quality and investigate how these factors are related to consumer satisfaction. This study also focus on relationships among service quality, consumer satisfaction, and purchase intentions. The results of this survey are summarized as follows: (1) Reliability and responsiveness of internet shopping mall are evaluated as very important factors, (2) Service quality is an antecedent of consumer satisfaction, (3) Consumer satisfaction has a significant effect on purchase intentions.

• The Journal of Information Systems
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• v.13 no.2
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• pp.155-172
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• 2004

The purpose of this study is to investigate factors which can lead small buyers to participate in a Reverse Aggregation Electronic Market (RAEM). Five factors including search, selection, price, delivery, and Internet literacy were selected as possible factors which are expected to influence small buyers' participation in a RAEM. This paper focused on a RAEM of the Korean automotive industry in which the third party aggregator formed a group of small automobile repair shops (ARS) and amassed buying power for them by building a buyer' oriented electronic market (EM). Survey data were collected from small ARS in South Korea. The results of the empirical analysis indicated that fast delivery and support for Internet illiteracy are potential incentives that could influence buyers' decisions to join a RAEM.

• Journal of the Korea Society of Computer and Information
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• v.21 no.3
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• pp.73-81
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• 2016

With the increasing popularity of social network services (SNSs), there have been many attempts to analyze the users of SNSs. By doing so, the characteristics and preferences of the users can be understood, which can help companies provide personalized information and services that they need or are relevant for them. This study aimed to analyze the usage behavior of Korean Twitter users from various perspectives to deepen the understanding of it. For this research goal, an online survey was conducted for the users of Twitter and the data about their actual usage were collected using the open API of Twitter. Factor analysis of the data revealed five factors that explain about 69.3% of the usage variables. It was also investigated how the factors are related to gender, age, and brand preferences. The results showed that the usage behavior of Twitter is largely affected by age (p<0.001), and also by gender through an interaction effect (p<0.05). Also, the factors showed significant statistical correlations with the brand preferences of the users.

• Proceedings of the Korea Concrete Institute Conference
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• 1998.04a
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• pp.391-396
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• 1998

The concrete structures are hardly ever built under ideal conditions. So many defects may occur for a various reasons such as unsuitable and defective materials, construction methods, poor workmanship, particular structural form and prevailing weather conditions. Some structural form can greatly increase the risk of occurrence of defects. Therefore we investigated the actual condition of the deterioration factors for reinforced concrete apartment, which was composed of 85 apartments with various building ages in different regions with five evaluation the deterioration factors of apartment building to establish the overall evaluation system of deterioration degree for reinforced concrete apartment in Korea.