• Journal of Convergence for Information Technology
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• v.7 no.4
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• pp.53-60
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• 2017

The purpose of this study was to identify the factors affecting intention and attitude of artificial intelligence technology(AI) of university students in healthcare using UTAUT model. Participants were 278 college students and the data were collected through self-reported questionnaire from May 15 to June 14, 2016. The collected data were analyzed using PASW Statistics/AMOS 22.0. The results were as follows. The effect of expectation factor, social influence, usefulness of work, anxiety factor had a significant effect on use of AI technology Intention. Factor of expectation effect, social influence, usefulness of work, anxiety factor had a significant effect on use of AI technology. As a result of verifying the significance of the indirect effect, it can be seen that the direct effect of the anxiety factor on the attitude factor is partially mediated by the use intention factor and the intention to use was partially mediated in the direct effect of the usefulness factor of the task on the attitude factor. This result means that it is important to increase the expectation factors, social effects, and perceived usefulness through accurate information based on facts and to reduce vague anxiety in order to increase the positive intention and attitude of university students' use of AI technology.

• Journal of Internet Computing and Services
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• v.15 no.6
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• pp.77-84
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• 2014

The purpose of this study is to explore factors affecting the effect of e-learning, and to find out the casual relationship among these factors. Subjects are 2,091 students who have participated in e-learning based class during the period of second semester in 2013. Those of them, 1,732 students response to the survey questions. After gathering data, they are analyzed by using Confirmative Factor Analysis and Structural Equation Modeling. From the result of Confirmative Factor analysis, data have reduced four factors, and are named as four latent variables likes e-learning effect, contents satisfaction, managing assistant factor, and system functional factor. From the result of Structural Equation Modeling, it is known as the relation and impact among factors: (a) "managing assistant factor" affects to "contents satisfaction" directly. (b) "contents satisfaction" affects to "e-learning effect" directly. (c) "system function factor" affects directly to "contents satisfaction", but does not affect directly to "e-learning effect". (d) both "managing assistant factor" and "system function factor" have an indirect effect on "e-learning effect" via "contents satisfaction".

• Journal of Climate Change Research
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• v.9 no.4
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• pp.407-421
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• 2018

In this paper, I analyze the GHG (greenhouse gas) emission factor of the domestic railway transportation sector using the LMDI (Log Mean Divisia Index) methodology. These GHG factors are the emission factor effect, energy intensity effect, transportation intensity effect, and economic activity effect. The analysis period was from 2011 to 2016, and the analysis objects were an intercity railway, wide area railway, and urban railway. The results show that the GHG emission of railway transportation sector decreased during these 6 years. The factors decreasing the GHG emission are the emission factor effect, energy intensity effect, and transportation intensity effect, while the factor increasing the GHG emission is the economic activity effect.

• Journal of Fashion Business
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• v.9 no.5
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• pp.37-50
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• 2005

The purpose of this study is to present basic data that can express beautiful silhouette by studying visual effect that depend on waist position of basic pants and the change of round belt width and analyzing the study of visual effect of the pattern design as well as the effect of design component. The stimuli are 21 samples: 7 variations of the location of the waistline and 3 variations of the width of the belt. The data has been obtained from 35 fashion design majors. The data has analyzed by frequency, factor analysis, anova, scheffe's test and the MCA method. The visual effects by the location of waistline and the width of belt are composed of 3 factors : horizontal direction factor, vertical direction factor and flexuosity factor. In these factors, horizontal factor is estimated by most important factor. Visual effect is positive when belt width widens as the location of waist line goes down to position of low belt. And in case the location of waist line is in the position of natural waist belt and low rise belt, belt of 3.2cm width is effective visually. The interaction effects between the location of the waistline and the width of the belt have significant differences in all factors. Factor that appears in visual effect of basic pants can be evaluated differently according to pattern of pants and characteristic of body shape. So we may receive better visual assessment if we consider the location of waist belt and width of belt in side of visual effect and image, when we produce pants giving variety to crotch depth.

• Fashion & Textile Research Journal
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• v.8 no.1
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• pp.55-63
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• 2006

The purpose of this study examines difference of cunsumer satisfaction by expected selection attribute of wedding dress and bride make-up. It is looking into influencing variables in consumer satisfaction, and is supplying real information to wedding market. The subjects of this study were 241 women getting married within one year of Daegu. The data were analyzed by using frequency, mean, the standard deviation, ANOVA, duncan test, correlation analysis, cross-analysis. Conclusion obtained from the results and discussions of the research are as follows: 1) In the attribution of expected selection according to occupation, blue-collar women are concerned about cost factor but they are low content with the perceptual satisfaction factor. 2) When selecting places for wedding dresses and wedding make-up, in the attribute of expected selection about the number of visiting the shop for wedding dresses and make-up, people who visit over 7 dress shops are highly interested in the appearance fancy degree, advertisements effect factors. But they are concerned with advertisements effect factor, cost factor in the perceptual satisfaction factor about wedding dress. Besides, the more they get chances to visit many dress shops, they are concerned with advertisements, cost factors, and satisfied with both the effect of advertisements and appearance factor degree in the attribution of expected selection about wedding make-up. 3) In the attribution of expected selection about the cost of wedding dresses and make-up, the lower the cost paid, people are interested in price factor. Furthermore, in the attribution of expected selection about the wedding dress and make-up cost, those who spent over 150 million Won are interested in quality, others influence factor, and the case of less than 120~150 million Won, people are highly interested in the appearance fancy degree, advertisements effect factor, and the women are satisfied with the advertisement effect factor in the perceptual satisfaction factor of wedding make-up.

• The Journal of Information Systems
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• v.30 no.3
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• pp.159-175
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• 2021

Purpose The purpose of this study was to find the effect of the determinants on the Big data utilization in industry. The determinants of Big data utilization were deduced by reviewing theoretical background and discussions on Big data related researches. Research model and proposed hypothesis were constructed from TOE framework and UTAUT model. Design/methodology/approach The research was conducted to collect a sample data from the experts involved in the Big data projects in industry. In addition, interviews and online survey were performed to get sample data. Exploratory factor analysis was conducted to verify the grouping of these questionnaire items and confirmatory factor analysis was done to verify the validity and reliability of the measurement model. Finally, research hypothesis was verified and theoretical and practical implications were proposed for further studies. Findings The results show that the technical factor have a significant effect on the expectancy factor and the behavioral factor. The organizational factor have a significant effect on the behavioral factor. In addition, the expectancy factor was significant on the behavioral factor and the intention-to-use of Big data system.

• Journal of Industrial Convergence
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• v.1 no.2
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• pp.107-124
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• 2003

With rapid growth and competition of electronic commerce through internet, various buying types and business models are being appeared. In this paper, we studied group buying which is new business model to consumer and factors affecting on trust and participation of group buying. The followings are the regression result of this study. First, familiarity factor, customer service factor, seal of security and product value factor made a significant effect on trust. Second, familiarity factor, perceived reputation factor, customer service factor, seal of security and product value factor made a significant effect on participation of group buying. Third, trust of group buying made a significant effect on participation of group buying. In this study, modeling and empirical test were implemented about structure of trust and participation of group buying. We can know where our group buying strategies should focus and which factor we should improve.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.249-260
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• 2013

The main purpose of this study is to examine the effect of doctors' patient-centered communication on patient satisfaction and treatment outcomes, and the mediating effect of patient participation between doctors' patient-centered communication and patient satisfaction, between doctors' patient-centered communication and treatment outcomes. For the purpose of this study's goal, the 339 samples for this empirical study were collected from general hospital outpatient in C. The results of this study are as follows, First, except prohibition factor there are positive effect careful listening factor, consideration factor on patient satisfaction and treatment outcomes. Second, there are positive effects of careful listening factor, consideration factor on emotional factor and informational factor, but there are no significant effect of prohibition factor on three factors of patient. Third, There are partial mediating effects of patient participation between doctors' patient-centered communication and patient satisfaction, between doctors' patient-centered communication and treatment outcomes. Last, based on the results of this study, we suggested implications for heighten the alternatives of patient satisfaction and treatment outcomes.

• Journal of the Korean Society of Costume
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• v.32
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• pp.313-336
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• 1997

Nineteen stimulus photograghs varied in hue and color scheme of one clothing style of Korean dress worn by a female were used to investigate the effect of color color scheme and structure on impression formation for Korean dress. Subjects were 77 male and 86 female undergraduate and graduate students. The stimuli c9onsisted of two sets(cool and warm) of four similar color schemes two sets (cool and warm in Chima color) of five contrasting color schemes and one extra stimulus triad 3 hue base. Structures were de-fined by color schemes of Kit.Korum toward the color schemes of Jokori and Chima. Stimu-lus photogragh selected from Korean dress fashion magazines was managed and varied in hues and color schemes to Kit Korum Jokori and Chima according to Korean Standard Color through scanning and Adobe photoshop 3.0 program and then pictured through slide printer(HR-6000). Each subject assessed 19 stimulus color photographs with incorporated 7 point semantic differential response scale. The data were analyzed by frequency mean factor analysis t-test ANOVA and Scheffe test. Results indicate impression ofrmations are af-fected by clothing cues. 1) Four factors emerged to account for dimensional structure of impressions of female features on Korean dress. These four factors were titled as(1) preference.evaluation (2) individuality.attention (3) youth and (4) friendshio. The preference.evaluation factor was the largest including eleven adjectives and accounting for 29.62% of the variances. 2) Almost every clothing cue(color, color scheme, structure) had some effects on im-pressions formed But the color of Chima did not form the effects on impression of prefer-ence.evaluation factor. The effect of related color scheme was the most influential clothing cue on impressions of preference.evalation factor and friendship factor whereas the ef-fect of contrasting color scheme was the most influential clothing cue on impressions of indi-viduality.attention factor and youth factor. The effect of cool color of Chima was the most influential clothing cue on impression of indi-viduality.attention factor whereas the effect of warm color of Chima was the most influen-tial clothing cue on impressions of youth factor and friendship factor. The effect of Jokori/Chima.Kit.Korum structure was the most influential clothing cue on impressions of pref-erence.evaluation factor and youth factor whereas the effect of Kit.Korum/Jokori.Chima structure was the most influential clothing cue on impressions of individuality.attention factor and friendship factor. 3) The interaction effects were appeared among clothing cues. Significant interaction effects between color schemes(similar and contrasting) and colors of Chima(cool and warm were appeared on impressions of prefer-ence.evaluation factor imdividuality.atten-tion factor and friendship factor, Significant interaction effects between color schemes (similar and contrasting) and structures (Jokori.Chima.Kit.Korum; Jokori.Kit.Koru-m/Chima;Jokori/Chima.Kit.Korum;Kit.Korum/Jokori.Chima) were appeared on impressions of preference.evaluation factor youth factor and friendship factor. Signifi-cant interaction effects between colors(cool and warm) and structures were appeared on impressions of individuality.attention factor youth factor and friendship factor. Sighifi-cant interaction effects between colors(cool and warm) and structures were appeared on impressions of individuality.attention factor youth factor and friendship factor. Significant interaction effects among clothing cues(color color schemes and structures) were appeared on all impression factors. The friendship factor was the most friquently affected impression factor by interaction effects among clothing cues. In summary the clothing was used as nonverbal cues in the effect on impression for-mation of female dressed in Korean dress. it concluded that color schemes worked as cen-tral traits and colors of Chima and structures worked as peripheral traits in the formation of impression of the female clothed in Korean dress. hence organizing our impressions with respect to the parts of the Korean dress in re-lation to the whole holistic perceptual pro-cess Gestalt approach was used and supported.

• Culinary science and hospitality research
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• v.10 no.3
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• pp.83-96
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• 2004

According to construction of global administration environment, all over the world was ended up in infinite competition period. Because eating out company also competes with another company, it must enjoy competitive power high position to secure high position continuously, classified by formation constituent's individuation and two aspects of organic special quality by the factor. Individuation classified by formation constituent's business ability, personal relations, age factors of Information Technology, and organic special quality classifies by factor of formation culture and result that analyze eating out company's business condition competitive power reinforcement effect factor is same as following. First, was construed by company culture, personal relations, business ability period of ten days with family Restaurant, and Information Technology showed that do not influence. Competitive power reinforcement effect factor with special restaurant was construed by company culture, personal relations, business ability period of ten days, and fast food company culture and Information Technology factor with hotel restaurant company culture by competitive power reinforcement effect factor construe.