• Journal of the Korean Operations Research and Management Science Society
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• v.41 no.1
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• pp.21-39
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• 2016

Although the demand for IT outsourcing (ITO) has increased recently because of the recent recession, concerns about business discontinuity in the transition phase cause companies to hesitate to adopt ITO. Therefore, a guideline to improve the prospects is needed. However, studies on the success factors of the transition phase in ITO are lacking. In this study, we develop an expert hierarchical value map (HVM) of the success of the transition phase in ITO by using cognition scientific methodologies. We empirically verify how success factors affect the success of the transition phase. Specifically, we derive an HVM of main stakeholders by using in-depth interviews and approaches, such as repertory grid technique (RGT) and laddering, based on means-end chain theory. We validate the success factors empirically through a bipolar analysis of RGT. Finally, we determine the most important cluster of success factors through cluster analysis.

• The Journal of the Korea Contents Association
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• v.19 no.4
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• pp.282-292
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• 2019

The purpose of this study was to investigate the relationship between self-esteem and differentiation of self, and to identify the degree of self-esteem and differentiation of self. Data were collected from 151 elementary school students using community child center. Factor analysis, reliability analysis, correlation analysis, regression analysis, and cluster analysis were performed. The results of the study are as follows: First, as a result of factor analysis, differentiation of self was classified into differentiation of internal mind, other's and self oriented. Self-esteem was classified into isolation, achievement, relation, and daunted. Second, regression analysis indicated that there was obvious relationship between self-esteem and the differentiation of self. Third, cluster analysis showed that 37.6% of children belonged to cluster 2 with achievement and relation patterns and self-oriented differentiation. Forty-three percent were belonged to cluster 1 with isolated and daunted self-esteem as well as internal mind and other's oriented differentiation. In cluster 3, 19.4% were belonged and their levels of self-esteem and the differentiation of self were very low. Findings indicate that for those children belonged to cluster 1 and 3, programs to raise the self-esteem of children and parental education are needed.

• Journal of the Economic Geographical Society of Korea
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• v.10 no.1
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• pp.19-43
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• 2007

The purpose of this study is to distinguish industrial clusters in Korea. Based on I/O table in 2000, coefficient matrix was calculated and factor analysis was performed on the matrix. Among 38 derived industrial clusters, 5 of them were unreported clusters, which were indistinguishable. Once these 38 industrial clusters were differentiated according to I/O table, final results of clusters were produced as I/O table was converted into KSIC (Korean Standard Industry Code). Since existing studies on industrial cluster have been focused on qualitative methods such as case studies and interviews, it is expected that this study could contribute to carry out more systematic and efficient methodology.

• Proceedings of the Korea Association of Information Systems Conference
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• 2001.12a
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• pp.438-450
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• 2001

This study is to classify the typology of e-business model based on the practical strategic model for successful e-business implementation. For that purpose, we review the conceptual framework of e-business and collected the data from 127 companies implementing e-business. The study is conducted in three phases as follows. First, six factors consisted of 22 items are derived through factor analysis. Second, Cluster analysis is employed to group the firms into different strategic patterns. A five-cluster solution is found to maximize the distances between cluster means across the six factor patterns. The models are named as 'ascendancy and convergence', 'expansion and moderate price', 'expansion and improvement of quality', 'ascendancy and process', and 'improvement of quality' respectively. Third, ANOVA is used to examine the impact on the performance differences attributable to the models. The results of the study are; (1) the 'ascendancy and process', 'expansion and improvement of quality' and 'expansion and moderate price' models were associated with significantly higher performance levels than the 'improvement of quality' model, and (2) the hybrid strategies are needed to implement e-business successfully based on the 'ascendancy and process' model.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.7-12
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• 2008

This study aims to extract the factors which constitute use tendency on digital product, and to devide korean generation. We surveyed to digital product users who are 15 through 49 years old, executed factor analysis, cluster analysis, and so on, The results of factor analysis, we selected 11 factors, named as interest, entertainment, simplicity, anxiety of mal-operation, practicality, personality, consistency, multi-functionality, learning style of how-to-use, responsibility of disorder, and lending degree. The results of cluster analysis, we classified subjects into following three types: positive acceptor, passive follower, and conservative indifference. And, we executed frequency analysis iteratively. We devide korean digital product users to 4 generations -1727G, 2834G, 3538G, 3949G- by means of synthesizing the results. It can be said that generation is strong factor effect to use tendency, but the other factors like sex, occupation, school career, income become weak factor or not matters. Finally, we considered the reason, 3538G takes a crossing point role through comparison the generation division with cohort research on product use experience.

• Journal of Nutrition and Health
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• v.37 no.5
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• pp.373-384
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• 2004

The objectives of this study were to identify dietary patterns of Korean middle school students and to investigate the characteristics of dietary intake of subjects with different dietary pattern. Three-day diet records were obtained from 163 male and 155 female 7th graders in Seoul, Korea. Food items from the diet records were aggregated into 22 food groups before subjected to factor analysis. Four dietary patterns emerged from factor analysis with different factor score. Cluster analysis using factor score classified subjects into three groups named 'Traditional' (n = 42), 'Westernized' (n = 135), and 'Intermediate' (n = 145). Major nutrient intake and dietary quality assessed by NAR (Nutrients Adequacy Ratio), MAR (Mean Adequacy Ratio), DDS (Dietary Diversity Score), and DVS (Dietary Variety Score) of the three groups were compared. Mean energy intakes of three groups were 1783, 1916, 1578 kcal in Traditional, Westernized, and Intermediate diet group respectively. Differences in nutrient intake of the groups were significant in all nutrients except vitamin B$_1$. Percent energy from fat was significantly higher in Westernized and Intermediate diet group, and cholesterol intake of Westernized diet group was higher than 300mg. NARs of most nutrients were higher in Traditional and Westernized than Intermediate diet group except vitamin E. Traditional and Westernized diet groups had the highest MAR of fourteen nutrients. DDS was the highest in Westernized and DVS was the highest in Traditional and Westernized diet group. Traditional diet groups had 22％ of energy consumption from breakfast, significantly higher than other diet groups. In conclusion, these results suggest that Korean teenagers with Traditional diet pattern have lower diet in ％ energy from fat, diversity of food and regularity of meals. Future studies need to focus on the relationship between dietary patterns and health status of Korean teenagers.

• Proceedings of the ESK Conference
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• 1995.10a
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• pp.249-267
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• 1995

The purpose of this study is to analyze breast shape by age, to classify breast types and then to suggest brassiere size chart. The subject of anthropometric measurement were 232 women in 20's and 40's. The direct anthropmetric measurement were analyzed by mean, standard deviation, duncan test, T-test, ANOVA, factor & cluster analysis The results are as follows; 1) as a result of analysis for the measurements, according to the increase of age, the items of height were decreased and the items of width, depth, cir- cumference, length were increased, being obesity and breast points were dropped. So the volume and bottom area of 40's women's breast were lager than 20's women's. The width of breast points was bide by increasing of intereior. 2) as a result of factor analyxis, 5 factors were extracted as important factor of breast shapes(obesity of breast and location of breast point, breast height and volume, upper dimensions of breast/lower dimensions of breast, interior dimensions of breast/exterior dimensions of breast, volume of the lower part and drop of breast) 3) as a reslut of cluster analysis, the breast shape were classified into 4 types. namely, typel has the smallest volume, bottom area of breast and the slenderest breast, type2 was the second obesity type. type3 was middle sized type. type4 has much dropped, wide bottom area of breast and the biggest form. 4) To establish brassiere sizing system, the loss funtion was used to decide interval of under bust girth and cup size of size chart. 20 brassiere sizes were established and the size chart covers 92.2% of all subject.

• Journal of the Korean Society of Clothing and Textiles
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• v.19 no.6
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• pp.995-1007
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• 1995

The purpose of this study is to examine on breast shapes of elderly women and provide fundamental data for developing brassiere. Numerous anthropometric measurements and other related data from 398 subjects were analyzed by various statistical methods such as ANOVA, Correlation analysis, Factor analysis and Cluster analysis. 1. Analysis of Breast Measurements The subjects were categorized into three groups(Group I; aged 55 to 64, Group II; aged 65 to 74, Group III; aged more than 75). 1) The results of the comparative analysis of anthropometric data from three groups show that by getting older: - $\circled1$ Breast lengths, widths, heights and bust girths are decreased significantly $\circled2$ Various length measurements related to the drooping degree of breast are increased $\circled3$ Some measurements related to the volume of breast are decreased. 2) The results of the correlation analysis among measurement show that there are no directs linear relationships between under bust girth and bust drooping. Further it turned out that the cup size could be used as a factor explaining the volume of breast due to large subject variation, Thus it is required to have more specific information about the breast volume. 2. Analysis of Breast Shapes 1) From 17 measurements, 5 factor were selected as key factors for the factor analysis of breast analysis of breast shapes. The 5 factors are: $\circled1$ Drooping degree of breast $\circled2$ slope between breast and chest, width of bust point $\circled3$ Contours and prominence of breast at the point of front and side $\circled4$ Breast volume $\circled5$ Breast width. 2) We categorized the breast shapes into three types by Cluster analysis. Type 1 is the most common breast shape in elderly women. $\circled1$ Type L: Not too droopy and large breast $\circled2$ Type 2: A little droopy and small breast $\circled3$ Type 3; Very droopy and wide breast

• Journal of the East Asian Society of Dietary Life
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• v.24 no.6
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• pp.915-923
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• 2014

This study investigated organic coffee choice motives from a coffee shop market segmentation perspective in order to understand the potential importance they may have upon attitudes and behavioral intentions to buy organic coffee. A factor-cluster segmentation approach was used for this study. An exploratory factor analysis identified five organic coffee choice motives: 'Sensory', 'Environment', 'Trust', 'Health' and 'Price'. Based upon these five choice motives, cluster analyses classified all respondents into three homogeneous subgroups: 'Highly motivated', 'Moderately motivated' and 'Unmotivated'. Analysis of variance tests indicated that attitudes and intentions to purchase organic coffee were significantly different among the three clusters. In particular, two cluster groups representing 'Highly motivated' and 'Moderately motivated' were found to offer the most utility for further organic coffee market segmentation research. Especially, due to perceptions about high price premium of organic coffee, the 'Moderately motivated' group had higher positive attitudes, although, their intentions to buy organic coffee were not higher than those of the 'Unmotivated' cluster. Findings support previous research propositions that high price could be the strongest barrier for people to purchase organic products including the organic coffee business context. This will assist to market and promote pricing strategies for caf$\acute{e}$s and restaurants to optimize organic coffee sales revenue. Implications for all cluster groups regarding unique socio-demographic characteristics and behavioral intentions are discussed. Organic coffee marketers can apply these findings towards the development of effective target market strategies.

• 한국노년학
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• v.36 no.3
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• pp.711-726
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• 2016

The purpose of this study was to analyze to 1) the differences according to demographic characteristics 2) select the type-specific communities online channels of the baby boomer customers group, who ever search for restaurant information through on-line for the previous three months. The study was based on a total of 280 samples obtained from on-line networking service users in a metropolitan area from April 15 to 30, 2016. The major findings are as follows. The data were analysed using frequency, factor analysis, cluster analysis and ${\chi}^2test$. According to the results of factor analysis, on-line utilizing attributes were separated into three factors: commitment of useful information, activity of leading on-line, and habit. The based on a factor analysis, cluster analysis was adopted to segment baby boomer customers. The identified four clusters showed in using on-line: type of active utilization, habit, seeking information and passive utilization. The clusters had significant differences in gender and monthly income by demographics. All of four clusters selected blog, face book, twitter in turn through the personal on-line channels. Cluster type of active utilization and habit selected restaurant home pages, restaurant blog, restaurant face book, restaurant twitter in turn through the public on-line channels. Cluster type of seeking information and passively utilization selected restaurant home pages, restaurant blog, restaurant twitter, restaurant face book in turn through the public on-line channels. Implications and future research were also discussed.